The mechanisms that govern organelle adaptation and remodelling remain poorly defined. The endo-lysosomal system degrades cargo from various routes, including endocytosis, phagocytosis, and autophagy. For phagocytes, endosomes and lysosomes (endo-lysosomes) are kingpin organelles because they are essential to kill pathogens and process and present antigens. During phagocyte activation, endo-lysosomes undergo a morphological transformation, going from a collection of dozens of globular structures to a tubular network in a process that requires the phosphatidylinositol-3-kinase-AKT-mechanistic target of rapamycin (mTOR) signalling pathway. Here, we show that the endo-lysosomal system undergoes an expansion in volume and holding capacity during phagocyte activation within 2 h of lipopolysaccharides (LPS) stimulation. Endo-lysosomal expansion was paralleled by an increase in lysosomal protein levels, but this was unexpectedly largely independent of the transcription factor EB (TFEB) and transcription factor E3 (TFE3), which are known to scale up lysosome biogenesis. Instead, we demonstrate a hitherto unappreciated mechanism of acute organelle expansion via mTOR Complex 1 (mTORC1)-dependent increase in translation, which appears to be mediated by both S6Ks and 4E-BPs. Moreover, we show that stimulation of RAW 264.7 macrophage cell line with LPS alters translation of a subset but not all of mRNAs encoding endo-lysosomal proteins, thereby suggesting that endo-lysosome expansion is accompanied by functional remodelling. Importantly, mTORC1-dependent increase in translation activity was necessary for efficient and rapid antigen presentation by dendritic cells. Collectively, we identified a previously unknown and functionally relevant mechanism for endo-lysosome expansion that relies on mTORC1-dependent translation to stimulate endo-lysosome biogenesis in response to an infection signal.
Citation: Hipolito VEB, Diaz JA, Tandoc KV, Oertlin C, Ristau J, Chauhan N, et al. (2019) Enhanced translation expands the endo-lysosome size and promotes antigen presentation during phagocyte activation. PLoS Biol 17(12): e3000535. https://doi.org/10.1371/journal.pbio.3000535
Academic Editor: Ken Cadwell, New York University School of Medicine, UNITED STATES
Received: November 6, 2018; Accepted: November 4, 2019; Published: December 4, 2019
Copyright: © 2019 Hipolito et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Relevant data and original Western blots are within the paper and its Supporting Information files. In addition, all RNA-seq data are held in Supplemental Table S1 and deposited in Gene Expression Omnibus with accession number GSE136470.
Funding: This research was funded with financial aid from the Canadian Institutes of Health Research Operating Grant #123373 to RJB and with Project Grants PJT-166047 to RJB and PJT-148603 to IT. In addition, this research was funded with financial contributions to RJB from the Canada Research Chairs Program, Ryerson University, and the Early Researcher Award (ER13-09-042) from the Ministry of Research and Innovation, Government of Ontario. IT is also supported by the Fonds de Recherche du Quebec - Sante. OL is funded by the Wallenberg Academy Fellows program, the Swedish Research Council and the Swedish Cancer Society. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Abbreviations: Abt1, activator of basal transcription 1; APC, antigen presenting cell; Arl8b, ADP Ribosylation Factor Like GTPase 8B; ATP6V1H, V-ATPase V1 subunit H; ATP6V1D, V-ATPase V1 subunit D; B2M, β2-microglobulin; BMDC, Bone marrow–derived dendritic cell; BMDM, Bone marrow–derived macrophage; CD63, cluster of differentiation protein 63; Cln3, neuronal ceroid-lipofuscinosis 3; CtsC, cathepsin C; CtsD, cathepsin D; DC, dendritic cell; DTT, dithiothreitol; EBSS, Earle’s balanced salt solution; eIF4E, eukaryotic translation initiation factor 4E; Galc, galactosylceramidase; ELISA, Enzyme-linked immunosorbent assay; GEO, Gene Expression Omnibus; HEL, Hen Egg Lysozyme; Hyal1, Hyaluronidase-1; LAMP1, lysosome-associated membrane protein 1; LAMP2, lysosome-associated membrane protein 2; LAMP3, Lysosome-associated membrane protein 3; LC3, Microtubule-associated protein 1A/1B-light chain 3; LPS, lipopolysaccharides; LY, Lucifer yellow; LY2, LY2584702; MHC-II, major histocompatibility complex-II; mTOR, mechanistic target of rapamycin; mTORC1, mechanistic target of rapamycin; M6PR, mannose-6-phosphate receptor; NPC2, Niemann-Pick disease type C2 protein; OD, optical density; PFA, paraformaldehyde; PI3K, Phosphoinositide 3-kinase; PPIA, peptidylpropyl isomerase A; PVDF, polyvinylidene difluoride; Rab7, Ras-related protein 7; RILP, Rab-interacting lysosomal protein; RNAseq, RNA sequencing; S6K, S6 kinase; Sgsh, sulfamidase; SIM, structured illumination microscopy; SLC11A1, solute carrier 11A1; SLC11A2, solute carrier 11A2; TBP, Tata-box binding protein; TFE3, transcription factor E3; TFEB, transcription factor EB; TLR4, toll-like receptor 4; TRPML1, transient receptor potential mucolipin 1; ULK1, Unc-51 like autophagy activating kinase; V-ATPase, vacuolar H+ ATPase pump; 5′TOP, 5′ terminal oligopyrimidine tract; 5’UTR, 5’ untranslated region
Eukaryotic cells compartmentalize a wide range of biochemical functions within membrane-bound organelles, such as the endoplasmic reticulum, peroxisomes, endosomes, and lysosomes. Of these, endosomes and lysosomes form the endo-lysosomal pathway, which receives, sorts, and traffics a multitude of endocytic and biosynthetic cargoes to either recycle or degrade. Typically, early and late endosomes are thought of as sorting stations, whereas lysosomes enable degradation and salvage of amino acids and other building units for cellular use. Yet, a more accurate view is that endosomes and lysosomes form a spectrum of heterogeneous tubulo-vesicular compartments rather than defined populations [1,2]. Indeed, late endosomes and lysosomes fuse to form hybrid endo-lysosomes, in which degradation is thought to ensue . Here, we refer to these structures as endo-lysosomes. Overall, eukaryotic organelles can exist in disparate morphologies ranging from individual vesicular organelles to stacks of flattened membrane sacs to a continuous membrane reticulum and can vary greatly in number, size, and activity. Importantly, cells can adapt organellar properties in response to a variety of intrinsic and extrinsic stimuli that alter the functional needs of cells [3–7]. Yet, how cells mold organellar properties in response to their differentiation state and/or change in their environment remains an outstanding question in cell biology.
Immune cells like macrophages and dendritic cells are plastic cells inasmuch as they can adopt ‘resting’, inflammatory, and anti-inflammatory states that differ in their gene expression profile, metabolism, secretory pathway activity, and endo-lysosomal membrane system [8–12]. With respect to the endo-lysosomal system, mature dendritic cells abate the degradative capacity of their endo-lysosomal system to help preserve antigenic peptides for presentation to adaptive immune cells . On the other hand, macrophages enhance their lysosomal degradative power after phagocytosis to enhance bacterial killing . Another example of endo-lysosomal remodelling occurs during lipopolysaccharide (LPS)-activation of macrophages and dendritic cells, which transform the endo-lysosomal system from a collection of dozens of individual globular organelles into a striking tubular network [12,15,16]. These tubules are positive for various endo-lysosomal markers such as LAMP1, CD63, Arl8b, Rab7, RILP, and in dendritic cells, they also comprise major histocompatibility complex-II (MHC-II), which is responsible for antigen presentation [15–17]. This reorganization requires downstream Toll-like receptor-4 (TLR4) signals including the phosphatidylinositol 3-kinase (PI3K)-AKT-mechanistic target of rapamycin (mTOR) axis, which may interface with Rab7 and Arl8b GTPases to control lysosome association with microtubule-motor proteins [16,17]. These motors then help distort and tubulate endo-lysosomes on microtubule tracks [15,18,19]. Although tubulation is associated with retention of pinocytic cargo, exchange of phagosomal cargo, and possibly antigen presentation [20–24], it is not presently known how endo-lysosome tubulation helps phagocytes perform their function in response to LPS and other stimulants.
Lysosomes also serve as signalling platforms to sense the metabolic and nutrient state of the cell [25–28]. For instance, a protein network involving the vacuolar H+ ATPase pump (V-ATPase), ragulator, and Rag GTPases sense high levels of amino acids within lysosomes to activate mTORC1 on the lysosome surface [29–34]. Active mTORC1 then phosphorylates various downstream targets to stimulate anabolic pathways, including mRNA translation [35–37]. In part, mTORC1 promotes translation by phosphorylating and activating the S6 kinases (S6Ks), which then act on multiple targets to modulate translation initiation, elongation, and ribosome biogenesis [38–41]. This is coordinated by mTORC1-dependent phosphorylation of 4E-BPs, which leads to their dissociation from eukaryotic translation initiation factor 4E (eIF4E), thus allowing the eIF4F complex assembly and the recruitment of the ribosome to the mRNA [39,41,42]. Importantly, mTORC1-driven anabolic pathways are also coordinated with mTORC1-mediated repression of catabolic processes including autophagy. This is in large part achieved by phosphorylating Unc-51-like autophagy activating kinase 1 (ULK1), an initiator of autophagy, and inhibiting the transcription factor EB (TFEB), which can up-regulate expression of lysosomal genes [43–46]. Inactivation of mTORC1 (e.g., during starvation) initiates autophagy, which is paralleled by a boost in lysosomal gene expression and lysosomal activity to augment macromolecular turnover and to help replenish the nutrients [45,46]. mTORC1 also plays roles beyond coordinating anabolism and catabolism in the context of nutrient sensing. In macrophages and dendritic cells, mTORC1 activity is increased during Toll-like receptor ligand binding (e.g., LPS), Salmonella invasion, Mycobacteria infection, phagocytosis, and by inflammasome activators [14,17,47–51]. Though the functional consequences of increased mTORC1 activity in immune cells are not always clear, increased mTORC1 activity can lead to augmented protein synthesis and suppressed autophagy whereby both of these processes are thought to be required for stress resolution and cell survival [49,51,52].
Herein, we set out to further dissect the mechanisms underlying the reorganization of the endo-lysosomal system in activated phagocytes. We discovered that phagocytes expand their endo-lysosomal volume and retention capacity within 2 h of LPS-mediated activation relative to their resting counterparts. We demonstrated that this expansion depends on augmented protein synthesis but that this seems independent of transcriptional mechanisms such as activation of TFEB and TFE3. Instead, LPS-driven endo-lysosomal expansion depends on altered translation controlled by mTORC1 and its effectors, S6Ks and 4E-BPs. Interestingly, LPS-mediated enhanced translation was critical for rapid and efficient antigen presentation and T-cell activation by dendritic cells. Ultimately, we present evidence that LPS engages mTORC1-dependent translation to increase endo-lysosome size and holding capacity.
Activation of macrophage and dendritic cells expands the endo-lysosomal volume
Activation of macrophages and dendritic cells elicits a remarkable transformation of the endo-lysosome morphology, converting these organelles from dozens of individual puncta into a tubular network [17,20–22]. Upon careful visual inspection, we speculated that this tubular endo-lysosomal network occupied a larger volume than endo-lysosomes in resting cells (Fig 1A). To corroborate this observation, we quantified the total endo-lysosome volume in LPS-activated and resting cells by employing image volumetric analysis [53,54]. We first prelabelled endo-lysosomes with a fluorescent fluid phase marker (see Materials and methods) and then exposed cells to LPS or vehicle-alone for 2 h to induce endo-lysosome tubulation. Prelabelling cells prior to stimulation ensured that endo-lysosomes were equally loaded with the dye in both resting and activated cells. We and others previously showed that endocytic tracers label tubules positive for various endo-lysosomal markers, including LAMP1, CD63, Rab7, and MHC-II, in macrophages and dendritic cells [15–17,21]. We then employed live-cell spinning disc confocal microscopy to acquire z-stacks and undertake volumetric analysis. Using this methodology, we observed a significant increase in volume occupied by the fluorescent probe in LPS-stimulated RAW macrophages, bone marrow–derived macrophages (BMDMs) and bone marrow–derived dendritic cells (BMDCs) relative to their resting counterparts (Fig 1B). This suggests that activated phagocytes have an expanded total endo-lysosomal volume relative to resting cells.
(a) Lysosomes in BMDMs, BMDCs, and in RAW macrophages before and after 2 h of LPS stimulation, the latter causing lysosome tubulation. Images were acquired by live-cell spinning disc confocal microscopy. Scale bar = 5 μm. (b) Relative lysosome volume between counterpart resting and LPS-treated phagocytes acquired by live-cell spinning disc confocal imaging. (c) Relative lysosome volume in resting and LPS-treated RAW macrophages fixed with a mixture of GF to preserve tubules. (d) Relative lysosome area from the midsection of resting and LPS-activated phagocytes using images acquired by SIM-enacted super-resolution microscopy. (e) Lysosome volume in resting and LPS-treated cells that are live or fixed with 4% PFA. (f) Image compilation of 6 representative fields in false colour showing changes in intensity of LY acquired by endocytosis over the indicated time in resting primary macrophages or macrophages stimulated with LPS. Scale = 250 μm. Colour scale: 0 to 4,095 (low to high). (g) Accumulation of LY continuously endocytosed over indicated time frame in resting, activated with LPS for 2 h, or co-activated with LPS continuously. (h) Rate of pinocytosis of LY in primary macrophages treated as indicated. (i) Retention of LY in resting or LPS-treated primary macrophages after 0.5 h internalization and chase in probe-free medium over indicated times. All experiments were repeated at least 3 independent times. For panels b through e, data are based on 30 to 40 cells per condition per experiment and are shown as the mean ± SEM. Statistical analysis was performed using one-way ANOVA and unpaired post hoc test, in which the asterisk indicates a significant increase in lysosome volume relative to resting phagocytes (*p < 0.05). For panels g through i, fluorescence measurements were acquired by fluorimeter plate imager. Data are shown as the mean ± SEM, in which statistical analysis was performed using an analysis of covariance, whereby controlling for time as a continuous variable. An asterisk indicates a significant increase in LY for that series relative to resting phagocytes (*p < 0.05). See S1 Data for original data in Fig 1. BMDC, bone marrow–derived dendritic cell; BMDM, Bone marrow–derived macrophage; GF, glutaraldehyde-formaldehyde; LPS, lipopolysaccharides; LY, Lucifer yellow; PFA, paraformaldehyde; SIM, structured illumination microscopy.
We previously demonstrated that in RAW macrophages lysosome tubules were more motile than punctate lysosomes . Thus, to exclude the possibility that the increase in endo-lysosome volume was due to a trailblazing effect during z-stack image acquisition, we sought to estimate endo-lysosome volume in fixed cells. However, typical fixation protocols with 4% paraformaldehyde (PFA) causes tubular endo-lysosomes to collapse (S1A and S1B Fig). To circumvent this issue, we developed a fixation procedure that preserves endo-lysosome tubules in macrophages (S1A and S1B Fig). Reapplying volumetric analysis to fixed RAW cells, we still observed a significant increase in endo-lysosome volume in activated cells relative to resting phagocytes (Fig 1C). To then validate that the apparent increase in endo-lysosome volume triggered by LPS was not an artefact of imaging morphologically distinct objects we performed 2 tests. First, we employed structured illumination microscopy (SIM) in order to exclude the possibility that the limit of resolution of spinning disc confocal microscopy might cause an artefact when imaging morphologically distinct endo-lysosomes . Because of limitations of the available SIM system, we sampled 3 x-y planes centred at the midpoint of cells and quantified the area occupied by the fluid-phase marker (S1C Fig). This approach also revealed a significant increase in label area in activated RAW, primary macrophages, and BMDCs relative to their resting counterparts (Fig 1D). Second, we quantified the endo-lysosomal volume in LPS-treated cells fixed with 4% PFA. Herein, we took advantage of that this treatment collapsed tubular endo-lysosomes into spheroid objects. As with other previous measurements, we observed higher endo-lysosome volume in fixed LPS-treated relative to resting macrophages (Fig 1E). Collectively, these data demonstrate that the endo-lysosome volume expands in response to macrophage and dendritic cell stimulation, concurrent with tubulation.
Phagocyte activation increases endo-lysosomal holding capacity
An expanded endo-lysosomal volume as a corollary may lead to a boost in the storage capacity of endo-lysosomes. Hence, we assessed whether activated phagocytes have a higher endo-lysosomal holding capacity relative to resting cells by allowing cells to internalize fluorescent pinocytic tracers to saturation. Indeed, both primary and RAW macrophages preactivated with LPS exhibited a significant increase in fluid-phase accumulation relative to their resting counterparts at each time point examined (Figs 1F and 1G and S2A). We also observed that preactivated primary macrophages displayed faster rates of pinocytic uptake relative to resting macrophages (Fig 1H). In fact, the rate of pinocytic uptake was augmented within 15 min of LPS exposure as indicated by macrophages concurrently undergoing pinocytosis and stimulation (Fig 1H). In comparison, we showed that resting and activated primary macrophages did not differ significantly in the rate of depletion of the pinocytic tracer (Fig 1I), suggesting that exocytosis rates were similar. RAW macrophages exhibited slightly different dynamics in that the rates of uptake and retention were similar between resting and LPS-stimulated cells (S2B and S2C Fig). Collectively, these data indicate that activated macrophages have a higher endo-lysosome holding capacity relative to resting macrophages.
Lastly, we questioned whether dendritic cells may benefit from an increase in endo-lysosomal volume because they are reported to arrest endocytosis after maturation [56,57]. Of note, most reports examine dendritic cell function over 16 h post stimulation, whereas recent work shows that mature cells can still endocytose extracellular cargo [58–60]. We show here that dendritic cells retained their pinocytic capacity up to 8 h post activation, which fits the timeline of endo-lysosome reorganization and expansion observed here (S2D Fig). This suggests that expanding the endo-lysosomal volume within a few hours may help dendritic cells accumulate more pinocytic content including antigenic material. Overall, our observations are consistent with previous reports, suggesting that tubulation in activated macrophages may aid in retaining fluid phase and that maturing dendritic cells continue to engulf extracellular material [20,58,59,61].
Activated macrophages express higher levels of lysosomal proteins
Thus far, the data presented here suggest that phagocytes expand their endo-lysosomal volume and retention capacity within a couple of hours of activation. Though other mechanisms such as increased endosomal membrane influx may contribute to this, we postulated that endo-lysosomal biosynthesis may be a significant driver of endo-lysosome expansion during phagocyte activation. To address this hypothesis, we tracked the levels of 7 major endo-lysosomal proteins as indicators of lysosome biogenesis; namely, we measured the levels of LAMP1, LAMP2, TRPML1, CD63, the V-ATPase subunits H and D, and cathepsin D by Western blotting in resting and activated primary macrophages. Specifically, we compared resting macrophages to those continuously exposed to LPS for 2 h or 6 h or for 2 h with LPS followed by a 4 h chase with no LPS. With the exception of cathepsin D, LPS induced the levels of all proteins approximately 2-fold when compared with resting macrophages (Figs 2A and 2B and S3). In addition, immunofluorescence staining for LAMP1 corroborates the increase in LAMP1 levels, which was detected by Western blotting (Fig 2C and 2D). The increase in the levels of these lysosomal proteins was blunted by the translation elongation inhibitor, cycloheximide (Fig 2A and 2B). Finally, there was little change in the levels of proteins examined between resting cells or those treated with cycloheximide with or without LPS, suggesting similar turnover rates of these proteins (Fig 2A and 2B). Collectively, these data indicate that de novo protein synthesis, rather than lower protein turnover, augments the levels of lysosomal proteins in LPS-treated phagocytes (Fig 2A and 2B). Interestingly, cycloheximide blunted endo-lysosome tubulation and expansion in macrophages in response to LPS (Fig 2E and 2F), suggesting that de novo protein synthesis is required to remodel the endo-lysosome network during phagocyte activation. Overall, our data intimate that phagocytes boost protein synthesis to expand their endo-lysosomal system within 2 h of stimulation.
(a) Western blot analysis of whole-cell lysates from resting primary macrophages or macrophages exposed to the indicated combinations and time of LPS and CHX. (b) Quantification of Western blots showing the levels of LAMP1, cathepsin D CtsD, and the V-ATPase V1 subunit H and D normalized to β-actin. Data are shown as the mean ± standard error of the mean from at least 3 independent experiments. For panels a and b, ‘2/4’ indicates cells stimulated with 2 h of LPS, followed by a 4 h chase, whereas ‘2 h’ and ‘6 h’ represent cells continuously exposed to LPS for those time periods. (c) Endogenous LAMP1-positive structures in resting and activated primary macrophages. (d) Quantification of total LAMP1 fluorescence levels in macrophages per μm3. (e) Live-cell spinning disc confocal micrographs of prelabelled lysosomes in resting primary macrophages or those stimulated with LPS and/or CHX. (f) Relative lysosome volume between resting primary macrophages and those exposed to specified conditions. Shown is the mean ± standard error of the mean from 30 to 40 cells for each condition and experiment, across at least 3 independent experiments. Scale bars = 5 μm. Statistical analysis was done with ANOVA and unpaired post hoc test. The asterisk indicates a significant difference (*p < 0.05). For each figure with Western blots, see S1 Raw Images for original, unedited Western blots. See S2 Data for original data in Fig 2. CHX, cycloheximide; CtsD, cathepsin D; LAMP1, lysosome-associated membrane protein-1; LPS, lipopolysaccharides; TBP, Tata-box binding protein.
Acute endo-lysosome expansion is not dependent on TFEB and TFE3
Our results suggest that biosynthesis plays a major role in LPS-induced endo-lysosome expansion in macrophages. Activation of TFEB and TFE3 transcription factors drives transcription of lysosomal genes thereby stimulating lysosome function under various stressors, including starvation, phagocytosis, protein aggregation, and macrophage activation [14,45,62–68]. Thus, we next investigated whether the observed endo-lysosome expansion was driven by TFEB- and TFE3-mediated transcriptional up-regulation of lysosome genes.
To assess activation of TFEB and TFE3, we quantified their nuclear translocation by determining the nucleo-cytoplasmic ratio of endogenously expressed proteins by immunofluorescence [14,69]. As expected [45,46], resting cells exhibited mostly cytoplasmic TFEB and TFE3, whereas inhibition of mTOR for 1 h with torin1 caused both proteins to translocate into the nucleus (Fig 3A and 3B). Strikingly, although 2 h incubation with LPS was sufficient to induce endo-lysosome expansion, this did not trigger nuclear translocation of TFEB or TFE3 (Fig 3A and 3B). LPS triggered nuclear entry of these proteins only after 6 h of exposure (Fig 3A and 3B). These results are consistent with observations by Pastore and colleagues, who also observed delayed nuclear entry of these proteins in response to LPS-induced macrophage activation, which suggests that LPS stimulation of TFEB and TFE3 is indirect .
(a) TFEB and TFE3 subcellular localization in resting primary macrophages (vehicle) or those treated with LPS for 2 or 6 h, or with torin1. Green = TFEB or TFE3 immunofluorescence signal; white = nuclei stained with DAPI. Areas within dashed boxes are magnified as insets. (b) Nuclear-to-cytosolic ratio of TFEB or TFE3 fluorescence intensity. Shown is the mean ± standard error of the mean from 30 to 40 cells per condition per experiment across at least 3 independent experiments. (c) Lysosomes in wild-type, tfeb−/−, tfe3−/−, and tfeb−/− tfe3−/− RAW strains before and after 2 h of LPS stimulation. Images were acquired by live-cell spinning disc confocal microscopy. Yellow arrowheads illustrate tubular lysosomes. (d) Average lysosome tubulation index in resting and LPS-activated strains. Shown is the mean ± standard error of the mean from 40 to 50 cells per condition, across 3 independent experiments. Lysosome tubules longer than 4 microns were scored, from which tubulation index was determined following normalization to the average number of tubular lysosomes in resting wild-type cells for each experiment. (e) Relative lysosome volume between LPS-treated and resting counterpart RAW strains acquired by live-cell spinning disc confocal imaging. The average lysosomal voxel counts for LPS-activated strains were normalized to resting wild-type cells. Shown is the mean ± standard error of the mean from 30 to 40 cells per condition per experiment across 3 independent experiments. (f, g) Relative mRNA levels of select lysosomal genes (f) or interleukin-6 (g) in activated primary macrophages relative to Abt1 housekeeping gene and normalized against resting cells. Quantification was done with qRT-PCR by measuring the ΔΔCt as described in methods. Shown is the mean ± standard error of the mean from 4 independent experiments. All statistical analysis was done with ANOVA and unpaired post-hoc test. The asterisk indicates a significant difference relative to resting condition (*p < 0.05). For panels a and c, scale bar = 5 μm. See S3 Data for original data in Fig 3. Abt1, activator of basal transcription 1; ATP6V1D, ATPase H+ transporting V1 subunit D; ATP6V1H, ATPase H+ transporting V1 subunit D; BMDM, Bone marrow–derived macrophage; IL-6, interleukin-6; LAMP1, lysosome-associated membrane protein-1; LPS, lipopolysaccharides; qRT-PCR, quantitative real-time-polymerase chain reaction;; TFE3, transcription factor E3; TFEB, transcription factor EB; TRPML1, transient receptor potential cation channel, mucolipin subfamily; ΔΔCt, change in threshold cycle.
To further test whether TFEB does not play a role in endo-lysosome expansion during macrophage activation, we measured tubulation and endo-lysosome volume in RAW macrophages deleted for the genes encoding TFEB and/or TFE3 using CRISPR-based technology (, S4A and S4B Fig). Deletion of TFEB and TFE3 did not significantly affect LAMP1 protein levels under resting conditions (S4C and S4D Fig), nor trafficking of the fluid-phase marker we employed, as quantified by Mander’s coefficient for dextran-containing LAMP1 signal (S4E and S4F Fig). Moreover, both resting wild-type and deletion strains of RAW macrophages accumulated similar levels of the dextran probe after 1 h of uptake and 1 h chase (S4G Fig). Finally, TFEB and TFE3 status in the cell did not exert major influence on retention of the fluid-phase probe after 2 h of LPS exposure (S4H Fig). Collectively, these data suggest that TFEB and/or TFE3 have minimal impact on basal pinocytosis and basal biogenesis and trafficking to endo-lysosomes.
We next examined remodelling of endo-lysosomes by treating wild-type and TFEB and/or TFE3–deleted RAW cells with LPS for up to 2 h. Importantly, all 3 mutant cell lines exhibited an increase in endo-lysosome tubulation after 2 h of LPS treatment relative to the resting condition. This increase in endo-lysosome tubulation in cells depleted of TFEB and/or TFE3 was indistinguishable from that observed in wild-type RAW cells (Fig 3C and 3D). However, we do note that endo-lysosome tubulation in RAW cells is less pronounced than in primary macrophages and dendritic cells. Importantly, LPS-induced expansion of the total endo-lysosome volume was comparable between control and TFEB and/or TFE3–deleted cells (Fig 3E). These results suggest that TFEB and/or TFE3–dependent transcription-based programs are not required for lysosome expansion during acute macrophage activation.
Finally, to assess whether other transcriptional mechanisms might be involved in LPS-induced lysosome expansion during the first couple of hours of activation, we measured mRNA levels encoding the 6 major endo-lysosomal proteins that increased in their levels in primary macrophages. We found that mRNA levels for LAMP1, LAMP2, CD63, TRPML1 and 2 V-ATPase subunits did not increase even after 6 h of LPS exposure (Fig 3F). In comparison, we observed a massive up-regulation of interleukin-6 mRNA after LPS exposure (Fig 3G). Collectively, these data intimate that increased transcription does not explain increased levels of the corresponding proteins we previously observed in Figs 2 and S3. Although it remains possible that transcriptional regulation of other mRNAs encoding endo-lysosome-related proteins contributes to endo-lysosome expansion, in particular during more prolonged stimulation, we speculated that post-transcriptional processes play a more pressing role in the LPS-mediated growth of the endo-lysosomal system.
Endo-lysosome expansion depends on AKT and mTOR activity
Given that the levels of 6 major endo-lysosomal proteins, but not corresponding mRNAs, were induced by LPS treatment, we next studied the role of translation in endo-lysosome expansion. Activated macrophages exhibit extensive metabolic reorganization, enhanced protein synthesis, selective translation of mRNAs encoding inflammatory proteins, and activation of unfolded protein response [8,10,11,49,70,71]. Consistently, LPS activates mTORC1 in macrophages, which not only stimulates mRNA translation but is also necessary for endo-lysosome tubulation [17,36,37]. Thus, we tested whether mTOR activity is also necessary for enhanced endo-lysosome volume and holding capacity. Indeed, as suggested by others [72–74], both primary and RAW macrophages exhibited increased phosphorylation of mTORC1 substrates S6K and 4E-BP1 after exposure to LPS, which is blunted by torin1, an active-site mTOR inhibitor (S5A and S5C Fig). Moreover, consistent with our previous observations , endo-lysosome tubulation was suppressed upon inhibition of mTOR or AKT by torin1 and Akti, respectively (Fig 4A). Importantly, we now show that suppression of AKT and/or mTOR activity abrogates the LPS-induced expansion of the endo-lysosome volume (Fig 4A and 4B). Moreover, Akti and torin1 both prevented the increased in the levels of LAMP1, LAMP2, CD63, TRPML1, and V-ATPases elicited by LPS (Figs 4C and 4D and S3A and S3B), suggesting that Akt-mTORC1 pathway is required for endo-lysosome expansion. In addition, mTOR inhibition also blunted the increase in the pinocytic holding capacity enticed by LPS treatment (Fig 4E). These effects are not likely due to autophagy induced by torin1 because Akti did not induce autophagy, but yet blocked lysosome expansion (S5D and S5E Fig). Collectively, these findings demonstrate that LPS-mediated stimulation of the Akt-mTOR pathway promotes expansion of the endo-lysosome system and retention capacity.
(a) Lysosomes in primary macrophages were pretreated with a vehicle (DMSO), Akti or torin1, followed by 2 h LPS stimulation where indicated. Images were acquired by live-cell spinning disc confocal microscopy. Scale bar = 5 μm. (b) Lysosome volume in primary macrophages treated as indicated and normalized to resting macrophages. Shown is the mean ± standard error of the mean from 30 to 40 cells per condition per experiment across 3 independent experiments. (c) Western blot analysis of whole-cell lysates from resting primary macrophages or macrophages exposed to the indicated combinations and time of LPS, torin1 and Akti. (d) Quantification of Western blots showing the levels of LAMP1, CtsD, and the V-ATPase V1 subunit H and D normalized to β-actin. Data are shown as the mean ± standard error of the mean from at least 3 independent experiments. For panels a and b, ‘2/4’ indicates cells stimulated with 2 h of LPS followed by a 4 h chase, whereas ‘2 h’ and ‘6 h’ represent cells continuously exposed to LPS for those time periods. (e) Quantification of pinocytic capacity in macrophages treated as indicated. Shown is the mean ± standard error of the mean from 4 independent experiments. For panels b and d, data were statistically analysed with ANOVA and unpaired post hoc test (*p < 0.05). For panel e, data were statistically assessed using an analysis of covariance, whereby controlling for time as a continuous variable. An asterisk indicates a significant increase in LY for that series relative to resting phagocytes (*p < 0.05). For each figure with Western blots, see S1 Raw Images for original, unedited Western blots. See S4 Data for original data in Fig 4. Akti, Akt inhibitor; CtsD, cathepsin D; LAMP1, lysosome-associated membrane protein-1; LPS, lipopolysaccharides; LY, Lucifer yellow; mTOR, mechanistic target of rapamycin; V-ATPase, vacuolar H+ ATPase pump.
LPS triggers increased endo-lysosome synthesis via mTORC1 pathway
Given that mTOR is hyperactivated in LPS-exposed phagocytes and its activity is necessary for endo-lysosome expansion, we next tested whether LPS stimulates global protein synthesis in primary macrophages by employing the puromycylation assay. In this assay, cells are pulsed with puromycin, which is covalently added to growing peptides by the ribosome. Puromycin-tagged peptides can then be quantified with anti-puromycin antibodies by Western blotting, whereby signal intensity is directly proportional to translation levels . LPS enhanced puromycin incorporation compared to control cells in a mTOR-dependent manner, which is indicative of elevated protein synthesis in LPS-exposed macrophages (S5F and S5G Fig). Given that mTORC1 regulates mRNA translation through multiple mechanisms , we next examined the role of S6Ks and 4E-BPs in LPS-mediated lysosome remodelling.
First, using LY2584702, a potent pharmacological inhibitor of S6Ks (Figs 5A and S5H), we showed that S6Ks are necessary for LPS-mediated increase in protein synthesis (Fig 5A and 5B). Second, although LY2584702 treatment did not preclude LPS-induced endo-lysosome tubulation (Fig 5C and 5D), it did prevent endo-lysosome volume expansion (Fig 5E). This observation suggests that endo-lysosome tubulation and expansion can be decoupled. Similarly, inhibition of S6Ks thwarted the LPS-mediated increase in the levels of LAMP1, LAMP2, CD63, TRPML1, ATP6V1H, and ATP6V1D (Figs 5F and 5G and S3). Importantly, LY2584702 did not affect the levels of corresponding transcripts (e.g., LAMP1, ATP6V1H, ATP6V1D, and B2M) in resting cells or those co-exposed with LPS (S5I Fig). Moreover, like Akti, LY2584702 did not induce autophagy, suggesting that its effects on endo-lysosome size are independent of autophagy (S5D and S5E Fig). Together, these data suggest that the mTORC1-S6K axis promotes endo-lysosomal protein expression to expand the size of the endo-lysosomal network during phagocyte activation within a couple of hours activation.
(a) Western blot analysis of protein puromycylation in resting and activated primary macrophages. LPS increases the amount of puromycylated proteins that is blocked by p70S6K inhibitor (LY2584702) or cycloheximide. Lane 1 is control lysates from cells not exposed to puromycin. The band indicated by the arrow is a nonspecific band recognized by the anti-puromycin antibody. p-S6 and β-actin were used to monitor p70S6K activity and as a loading control, respectively. (b) Normalized puromycylation signal (excluding nonspecific band) normalized over β-actin signal. Data are shown as the mean ± standard deviation from 3 independent experiments. Statistical analysis was done with an ANOVA, in which an asterisk indicates conditions that are statistically distinct from control (*p < 0.05). (c) Lysosomes in primary macrophages were pretreated with LY2584702 (LY2) followed by 2 h of LPS where indicated. Images were acquired by live-cell spinning disc confocal microscopy. Scale bar = 5 μm. (d) Lysosomal tubulation was scored for each condition as shown, in which a tubule was defined as longer than 4 μm in length. Tubulation index was determined by normalizing scores to resting cells. (e) Total lysosome volume in primary macrophages treated as indicated. Panels d and e show the mean ± standard error of the mean from 30 to 40 cells per condition per experiment, across 3 independent experiments. (f) Western blot analysis of whole cell lysates from resting and activated primary macrophages with or without LY2584702. (g) Quantification of Western blots showing the levels of LAMP1 and the V-ATPase V1 subunits H and D, normalized to β-actin. p-S6 and total S6 blots are shown to support effectiveness of LY2584702 treatment. Shown is the mean ± standard deviation of the mean from 5 independent blots. For panels b, c, and e, data were statistically analysed with ANOVA and unpaired post hoc test (*p < 0.05). For each figure with Western blots, see S1 Raw Images for original, unedited Western blots. See S5 Data for original data in Fig 5. CHX, cycloheximide; LAMP1, lysosome-associated membrane protein-1; LPS, lipopolysaccharides; S6K, S6 kinase; V-ATPase, vacuolar H+ ATPase pump; LY, Lucifer yellow.
We next investigated the role of 4E-BPs in regulating endo-lysosome expansion following LPS. For this, we generated RAW macrophages that stably express 4E-BP14Ala, a phosphorylation-deficient mutant of 4E-BP1 carrying alanine substitutions at 4 phosphorylation sites (Thr37, Thr46, Ser65, and Thr70), rendering it inaccessible to mTORC1 regulation . This form of 4E-BP1 constitutively binds to a cap-binding protein eIF4E, which prevents the assembly of the eIF4F complex, thereby hindering recruitment of the ribosome to the mRNA . First, relative to resting RAW counterparts, we showed that LPS augmented the endo-lysosomal volume and endo-lysosome tubulation in RAW cells expressing an empty pBabe retroviral vector (Fig 6A–6C). In contrast, LPS failed to boost the endo-lysosome volume in RAW cells that stably expressed 4E-BP14Ala, though endo-lysosome tubulation still occurred (Fig 6A–6C). Second, changes in endo-lysosome volume were accompanied by corresponding alterations in endo-lysosomal protein levels (we note that RAW cells are less pronounced than primary cells in terms of tubulation, expansion, and increase in protein levels). Indeed, LPS exposure caused a mild but significant increase in endo-lysosomal protein levels (LAMP1, ATP6V1H, and ATP6V1D) in RAW cells expressing the empty retroviral vector compared with resting counterparts (Fig 6D and 6E). In contrast, LPS failed to boost the levels of these proteins in RAW cells stably expressing 4E-BP14Ala (Fig 6D and 6E). Collectively, these data suggest that the effects of mTORC1 on endo-lysosome expansion are mediated via modulation of both S6Ks and 4E-BPs.
(a) Lysosomes in resting or LPS stimulated (2 h) RAW cells stably expressing the 4E-BP1 (4Ala) phosphorylation mutant or the empty pBabe vector. Images were acquired by live-cell spinning disc confocal microscopy. Scale bar = 10 μm. (b) Lysosomal tubulation was scored for each, in which a tubule was defined as longer than 4 μm in length. Tubulation index was determined by normalizing scores to resting. (c) Total lysosome volume in engineered RAW macrophages treated as indicated. Panels b and c show the mean ± standard error of the mean from 30 to 40 cells per condition per experiment across 3 independent experiments. (d) Western blot analysis of whole-cell lysates from stable cell lines. (e) Quantification of Western blots showing the levels of LAMP1 and the V-ATPase V1 subunits H and D, normalized to β-actin for both cell lines. Anti-HA blot demonstrates expression of 4E-BP14Ala. Shown is the mean ± standard deviation of the mean from 3 independent blots. For panels b, c, and e, data were statistically analysed with ANOVA and and unpaired post hoc test (*p < 0.05). For each figure with Western blots, see S1 Raw Images for original, unedited Western blots. See S6 Data for original data in Fig 6. HA, hemagglutinin; LAMP1, lysosome-associated membrane protein-1; LPS, lipopolysaccharides; V-ATPase, vacuolar H+ ATPase pump; 4E-BP1, 4E binding protein-1.
Polysome profiling of transcripts encoding endo-lysosomal proteins after LPS exposure
Considering that LPS increased 6 endo-lysosomal protein levels that we tested without increasing the corresponding mRNA abundance in primary macrophages (Figs 2 and 3 and S3), we next postulated that LPS-driven mTOR activity promotes endo-lysosome expansion by enhancing translation of at least a subset of mRNAs encoding endo-lysosomal proteins. To test this hypothesis, we employed polysome profiling wherein mRNAs are separated according to the number of bound ribosomes by sedimentation through a 5% to 50% sucrose gradient . Distribution of mRNAs encoding endo-lysosomal proteins across the gradient was measured by RT-qPCR. Because of technical limitations, these experiments were carried out using RAW macrophages. We tested polysomal distribution of mRNAs encoding LAMP1, V-ATPase subunits H and D, and cathepsin D.
Relative to the control, LPS treatment for 2 or 6 h shifted the distribution of mRNAs encoding LAMP1 and the V-ATPase subunits H and D towards the heavy polysome fractions, which is indicative of increased translational activity of these mRNAs (Figs 7A–7C and S5A–S5C). Importantly, although torin1 exerted minimal effect on the distribution of mRNAs encoding LAMP1 and V-ATPase subunits H and D in control cells (S7 Fig), it attenuated the shift of these transcripts towards heavy polysomes in LPS-treated cells (Figs 7A–7C and S5A–S5C). These findings indicate that LPS induces translation of mRNAs encoding LAMP1 and V-ATPase subunits H and D via mTOR. Notably, translational regulation of LAMP1 and V-ATPase subunits H and D is consistent with the results obtained in primary macrophages wherein LPS induced LAMP1 and V-ATPase subunits protein levels without affecting their mRNA levels or protein stability (Figs 2A and 3C and S3).
(a–g) Percent of target mRNA—(a) LAMP1, (b) ATP6V1H, (c) ATP6V1D, (d) CtsD, (e) β-actin, (f) PPIA, and (g) B2M—associated with each ribosome fraction in resting, LPS- or LPS/torin1-treated RAW cells. Left and middle panels show 2 h and 6 h treatments, respectively. Shown is a representative experiment from 4 independent experiments, each of which contained 3 technical replicates. Right panels: Pooled percent of mRNA in subpolysomal (fractions 7–10), light polysosome (fractions 11 and 12), and heavy polysomes (fractions 13–16). Shown is the mean percent ± standard deviation from 4 independent experiments with each point in triplicate for each experiment and mRNA. Heavy fractions were statistically analysed by ANOVA and Tukey’s post hoc test, in which a single asterisk indicates statistical difference from resting conditions, whereas two asterisks indicate differences between LPS and LPS+torin1 conditions within 2 and 6 h exposure. See S7 Data for original data in Fig 6. ATP6V1D, V-ATPase V1 subunit D; ATP6V1H, V-ATPase V1 subunit H; B2M, β2-microglobulin; CtsD, cathepsin D; LAMP1, lysosome-associated membrane protein-1; LPS, lipopolysaccharides; mRNA,; mTOR, mechanistic target of rapamycin; PPIA, peptidylpropyl isomerase A.
In comparison, mRNAs encoding cathepsin D did not shift to heavier polysome fractions after 2 h LPS treatment (Figs 7D and S5E). Yet, exposure to torin1 alone or co-administration of LPS and torin1 for 2 h caused cathepsin D mRNA to shift to heavy polysomes (S7D Fig); this may be aligned with the need for increased catabolic activity during starvation conditions that repress mTORC1, stimulate autophagy, and activate TFEB [45,46,62,78]. Interestingly, and indicative that endo-lysosomes undergo different phase of remodelling during phagocyte maturation, 6 h LPS caused mRNA encoding cathepsin D to shift to heavy polysomes, whereas this was impaired by co-administration of LPS and torin1 for 6 h (Figs 7D and S5E). These changes in translational activity of mRNAs encoding key endo-lysosomal proteins are in contrast to mRNAs encoding β-actin, peptidylpropyl isomerase A (PPIA) and β2-microglobulin (B2M), whose polysome distribution was not majorly perturbed by LPS and/or torin1 treatments (Figs 7E–7G and S5F–5H and S7E–S7G). This is consistent with previous reports showing that translation of these mRNAs is insensitive to LPS and/or mTORC1 [79,80]. Collectively, these observations suggest that translation of mRNAs encoding specific endo-lysosomal proteins is selectively modulated during macrophage activation by LPS in an mTOR-dependent manner.
LPS induced changes of the translatome are largely mediated by mTORC1
We next employed polysome profiling in conjunction with RNA sequencing (RNAseq) to identify genome-wide changes in the transcriptome (i.e., steady-state mRNA levels that are influenced by changes in transcription and/or mRNA stability) and translatome (i.e., the pool of polysome-associated mRNAs) . To allow stringent statistical analysis, we sequenced matched total transcriptomes and translatomes from 3 independent experiments from RAW cells untreated, exposed to LPS alone, or in combination with torin1 for 6 h. Parallel sequencing of polysome-associated and corresponding total mRNA followed by anota2seq analysis enables identification of bona fide changes in translational efficiencies (i.e., changes in polysome-associated mRNA independent of changes in total mRNA), changes in mRNA abundance (i.e., congruent changes in total mRNA and polysome-associated mRNA), and translational buffering (i.e., changes in total mRNA that are not accompanied by alterations in polysome-associated mRNA) .
We first contrasted effects of LPS and combination of LPS and torin1. Consistent with the increase in mTOR activity, 6 h LPS stimulation leads to ample changes at the total and polysome-associated mRNA levels compared with resting cells (Fig 8A). LPS-induced changes in polysome-associated mRNA levels appeared to be mostly influenced by alterations in mRNA abundance; however, a subset of mRNAs exhibited perturbed translation efficiencies (Fig 8B and S1 Table). We then sought to characterize to what extent these changes in translation efficiencies are mediated by mTOR. Therefore, we visualized those subsets of mRNAs that were translationally modulated after LPS stimulation and monitored their behaviour after mTOR inhibition (as in Fig 8B but highlighted in Fig 8C and 8D). In RAW cells, torin1 lead to a near-complete reversal of the LPS-induced translatome (compare Fig 8C and 8D). This indicates that the effects of LPS on translational efficiency are largely mediated by mTOR. Moreover, transcripts whose polysome-association was stimulated by LPS comprised a number of TOP mRNAs which are well-established translational targets of mTOR. Thus genome-wide experiments revealed that in addition to transcriptional remodelling, 6 h LPS treatment entices mTOR-dependent perturbations in the translatome.
(A) Distributions (kernel density estimates) of FDRs from comparisons of gene expression between 6 h treatments with LPS to control (left) and LPS in presence or absence of torin1. Differences in polysome-associated mRNA (orange), total mRNA (purple), translation (red), and buffering (blue) were assessed using polysome profiling. (B) Scatter plot of polysome-associated mRNA versus total mRNA log2 fold changes (6 h LPS to control). The number of transcripts exhibiting changes in translation (red), buffering (blue), and mRNA abundance (green) stratified into increased (light shade) or decreased (dark shade) expression are indicated. (C) Scatter plot of polysome-associated mRNA versus total mRNA log2 fold changes (left) together with cumulative distribution plots for polysome-associated mRNA (middle) and total mRNA (right) log2 fold changes from the comparison between 6 h LPS treatment to control. Translationally activated (light red) and translationally suppressed (dark red) mRNAs are indicated together with background transcripts (i.e., not in either of sets; grey). (D) Same plots and subsets of transcripts as in panel c but using gene expression data originating from the comparison between 6 h LPS treatment in presence or absence of torin1. (E–G) Heat map of log2 fold changes for total mRNA (E), polysome-associated mRNA (F), and changes in translation efficiencies (G) following 6 h treatments with LPS relative to resting (green) and LPS in presence relative to absence of torin1 (orange) for genes annotated to the lysosme pathway. The sidebars indicate genes with significantly changed expression in their associated analysis separately for the 2 comparisons (i.e., green or orange). See S1 Table and deposited data in Gene GEO with accession number GSE136470 for original data in Fig 8. FDR, false discovery rate; GEO, Gene Expression Omnibus; LPS, lipopolysaccharides.
We then focused on mRNAs encoding lysosome-associated proteins and interrogated how their expression changed upon 6 h LPS treatment relative to resting conditions (Fig 8E–8G and S1 Table). This revealed subsets of mRNAs encoding lysosome proteins showing distinct patterns of regulation. For example, transcripts encoding the cholesterol transporter Niemann-Pick disease type C2 protein (NPC2), the divalent metal transporter solute carrier 11a1 (SLC11A1), and the transmembrane protein neuronal ceroid-lipofuscinosis 3 (Cln3) increased, whereas those encoding sulfamidase (Sgsh) and Hyaluronidase-1 (Hyal1) decreased in a manner sensitive to torin1; the increase in many lysosomal mRNAs in the presence of torin1 may be explained by TFEB activation during mTOR inhibition (Fig 8E). Moreover, we identified 59 mRNAs that significantly changed in their association with heavy polysomes. For instance, transcripts encoding proteins like lysosome-biogenesis receptor mannose 6 phosphate receptor (M6PR), SLC11A1, a second metal transporter SLC11A2, LAMP2, Cln3, CD63, NPC2, and several V-ATPase subunits were increased in their abundance in heavy polysome fractions in response to LPS (Fig 8F and S1 Table). The opposite was observed for the lysosomal enzymes like Sgsh, Hyal1, and the galactosylceramidase (Galc; Fig 8F and S1 Table). Interestingly, a significant number of LPS-induced changes was abated or even reversed by the addition of torin1, thereby suggesting a role for mTOR in modulating association of these mRNAs with heavy polysomes (Fig 8F and S1 Table). Nevertheless, when mRNA levels in heavy polysomes were adjusted for changes in total mRNA levels to capture alterations in translation efficiency, only a few mRNAs were identified as significant but included M6PR, LAMP2, Cln3 (Fig 8G and S1 Table). Overall, these data suggest that endo-lysosomes in addition to undergoing LPS-induced expansion over phagocyte maturation (as supported by Figs 1 and 2) may be functionally remodelled.
To validate these findings, we performed qRT-PCR analysis of distribution of 6 top LPS-stimulated (NPC2, Cln3, SLC11A1, SLC11A2, M6PR, CtsC) and 2 top LPS-suppressed mRNAs (Sgsh, Hyul1) across unpooled gradient fractions. Consistent with the RNAseq analysis, we observed that LPS induces a shift of mRNAs encoding NPC2, Cln3, SLC11A1, SLC11A2, M6PR, and cathepsin C (CtsC) towards heavy polysome, whereas Sgsh and Hyal1 were depleted from heavy polysomes (S8 Fig). Both effects appeared to be sensitive to torin1 (S8 Fig). Overall, using this strategy, we observed that LPS can selectively enrich or deplete specific mRNAs encoding endo-lysosomal transcripts, which provides evidence that LPS may functionally remodel the endo-lysosomal system during phagocyte maturation in addition to its expansion (as supported by Figs 1 and 2).
Surprisingly, the initial candidate mRNAs encoding endo-lysosomal factors that we tested (e.g., LAMP1, V-ATPase subunits H and D, and cathepsin D) were for the most part not captured by RNAseq of pooled fractions—this is despite validating a large proportion of mRNAs identified as differentially translated by RNAseq in pooled heavy polysome using qRT-PCRs across the whole gradient (e.g., NPC2, SLC11A2). This may be explained by technical issues related to polysome profiling/RNAseq. Namely, ribosome-association of mRNAs shows normal distribution with a large coefficient of variance, thereby implying that, for example, even if the large proportion of mRNA is associated with >3 ribosomes, a fraction of it should be associated with <3 ribosomes . Moreover, based on the empirically assessed behaviour of the vast majority of cellular mRNAs, a threshold of ≥3 polysomes is set to distinguish between efficiently and not efficiently translated mRNAs . Nevertheless, in cases when mRNAs shift within heavy or light polysome fractions but do not exhibit significant migration over threshold of ≥3 ribosomes, the power to detect changes in translational efficiency may be reduced. This could thus mask detecting effects on alterations of mRNA translational efficiency upon LPS stimulation of some mRNAs including those encoding LAMP1 and specific V-ATPase subunits. This is supported by targeted qRT-PCR against LAMP and V-ATPases on unpooled fractions from the same samples we used for global analysis. We again observed a shift in the abundance of mRNAs encoding these proteins to heavier polysomes upon LPS (even at 6 h) that was reduced by torin1 treatment (S9 Fig) However, the size of the response was less pronounced and was likely averaged out during pooling. As before, mRNAs encoding PPIA, actin, and B2M largely did not respond to LPS or torin1 (S9 Fig). Of note, we opted for polysome instead of ribosome profiling, because, although ribosome profiling has far superior resolution inasmuch as it can determine ribosome positioning at a single nucleotide level, polysome profiling appears to perform better in determining translational efficiencies . Additionally, in the case of qRT-PCR in which the treatments were for 2 and 6 h, for the RNAseq analyses, only 6 h time point was used.
Antigen presentation is promoted by LPS through mTOR and S6K activity
Our results suggest that LPS can expand the endo-lysosomal system within 2 h of activation in primary phagocytes via an mTOR-dependent alterations in translation of key endo-lysosomal transcripts. We next sought to investigate the functional implication of this LPS-mediated escalation in translation and endo-lysosomal volume. Given that antigen processing and loading occurs within the endo-lysosomal system of dendritic cells (DCs), we postulated that LPS-mediated expansion of endo-lysosome volume and holding capacity may enhance antigen presentation in BMDCs. To test this, we used BMDCs from C57Bl/6 and C3H/He mice that, respectively, carry MHC-II haplotypes I-Ab and I-Ak. I-Ab and I-Ak expressing BMDCs were then, respectively, fed antigens, the peptide Eα52–68 and full-length Hen Egg Lysozyme (HEL), for 4 and 6 h in the presence or absence of LPS. Fixed but unpermeabilized BMDCs were then stained with Aw3.18 monoclonal antibodies to detect surface delivery of I-Ak:: HEL48–62 complexes —this antibody could not detect MHC-II:peptide complex after permeabilization (not shown). On the other hand, we could detect total I-Ab::Eα52–68  (internal and surface level) complex formation by staining fixed and saponin-permeabilized BMDCs with the monoclonal Y-Ae antibody . Importantly, treatment with LPS stimulated formation and/or delivery of the MHC-II::peptide complexes even at 4 h and more potently at 6 h (Figs 9A–9C and S10). When cells were not given antigens, the signal was reduced to background, demonstrating that the fluorescence signal was dependent on MHC-II::antigen complex formation (Figs 9C and S10). We then inquired whether antigen presentation was dependent on mTOR and S6K activities by co-treating cells with torin1 and LY2584702, respectively. Remarkably, these inhibitors reduced antigen presentation of both Eα52–68 and HEL48–62 in unstimulated and LPS-treated cells (Figs 9A–9C and S10). These data indicate that altered translation controlled by the mTORC1-S6K axis is necessary for efficient antigen presentation by BMDCs. Consistent with these data, we observed that LPS boosted total MHC-II levels in BMDCs and that this was prevented by treatment with torin1 and LY2584702 (Fig 9D and 9E). These observations suggest that enhanced translation driven by mTORC1 and S6Ks underpins, at least in part, boosting MHC-II levels in BMDCS.
BMDCs were incubated with Eα52–68 peptide for 4 or 6 h in the presence or absence LPS with or without torin1 and LY2584702. Cells were then fixed and stained with Y-Ae antibodies to detect I-Ab::Eα52–68 complex formation, and DAPI to stain nuclei. (a) I-Ab::Eα52–68 complexes (displayed in pseudocolour) and DAPI (greyscale) are shown for BMDCs treated as indicated. (b, c) Anti-I-Ab::Eα52–68 antibody signal was quantified by fluorescence intensity associated with each cell. Shown is the mean of the total fluorescence intensity of I-Ab::Eα52–68 complexes ± standard deviation from 3 experiments, in which 50 to 100 cells were quantified for each. Data were analysed using ANOVA, whereby a single asterisk indicates a difference compared with unstimulated BMDCs exposed to Eα52–68 and two asterisks indicates a difference compared with LPS-stimulated BMDCs fed Eα52–68 (**p < 0.05). Scale bar = 30 μm. Colour scale: 0 to 2,500 (low to high). S10 Fig show similar data for HEL presentation. (d) BMDCs were fed Eα52–68 peptide for 4 or 6 h in the presence or absence LPS with or without torin1 and LY2584702. Following mild fixation, APCs were co-incubated with T cells as described in Materials and methods to measure I-Ab::Eα52–68 complex induced T-cell activation. T-cell–secreted Il-2 was measured using an ELISA system. All data were analysed using ANOVA, whereby two asterisks indicates a difference compared with unstimulated BMDCs exposed to Eα52–68 (**p < 0.05). (e) Western blot analysis of whole-cell lysates from APCs. p-S6 and β-actin were used to monitor mTOR-p70S6K signalling axis activity and as a loading control, respectively. (f) Quantification of Western blots showing the levels of MHC-II (I-A/I-E) normalized over β-actin signal. Data are shown as the mean ± standard deviation from 4 independent experiments. Statistical analysis was done with an ANOVA, in which a single asterisk and two asterisks indicates a significant difference of 2 h and 6 h conditions, respectively, from resting cells (p < 0.05). For each figure with Western blots, see S1 Raw Images for original, unedited Western blots. See S8 Data for original data in Fig 9. APC, antigen-presenting cell; BMDC, bone marrow–derived dendritic cell; ELISA, enzyme-linked immunosorbent assay; HEL, Hen Egg Lysozyme; IL-2, interleukin-2; LPS, lipopolysaccharides; LY2, LY2584702; MHC-II, major histocompatibility complex-II; mTOR, mechantistic target of rapamycin; S6K, S6 kinase.
To determine whether LPS-mediated stimulation of mTORC1/S6K axis was needed for antigen-mediated activation of T cells, we measured IL-2 release by T cells to assess activation. For this assay, we used the T-cell hybridoma clone 1H3.1, which recognizes I-Ab::Eα52–68 . BMDCs were fed Eα52–68 and then either treated with vehicle, exposed to torin1 or LY2584702 alone, or to LPS with and without drugs. We also included BMDCs without any antigen feeding. After 6 h of antigen processing and presentation, BMDCs were fixed and co-incubated with 1H3.1 T-cell hybridomas for 48 h. We then employed ELISA to quantify IL-2 released by T cells. T cells released IL-2 at greater levels when they were exposed to BMDCs treated with both peptide and LPS than when they were exposed to BMDCs fed with only peptide alone (Fig 9F). This activation was dependent on Eα52–68 as very little IL-2 was discharged by T cells exposed to BMDCs that were not fed peptide (dashed line). In comparison, IL-2 secretion was nearly at baseline when T cells were co-incubated with APCs treated with LPS and torin1, demonstrating that mTORC1 is critical for antigen presentation by BMDCs. Importantly, BMDCs pretreated with LY2584702 caused T cells to secrete IL-2 at levels similar to BMDCs that internalized only peptide (Fig 9F). This result demonstrates that enhanced protein synthesis driven by S6Ks is critical for APCs to stimulate antigen presentation and T-cell activation. Though we acknowledge that increased protein synthesis may play additional roles in phagocytes that lead to enhanced antigen presentation, collectively our data suggest that LPS-driven protein synthesis and lysosome expansion are essential to boost antigen retention and ultimately presentation.
Macrophages and dendritic cells are plastic cells inasmuch as they can alter their metabolic and gene expression profiles to adopt a range of alternative states, which exert either inflammatory or anti-inflammatory functions. Significant attention has been given to how macrophages and dendritic cells alter their metabolism and expression of cytokines, chemokines, and other microbicidal agents [8–11]. Remodelling the expression level of these factors occurs both at the transcription and translation level [49,70,87,88]. However, remarkably less is understood regarding the mechanisms that underpin changes to the endomembrane system during activation of macrophages and dendritic cells. Notable examples of changes to the endomembrane system include reduced degradative capacity of endosome and lysosomes to help conserve antigens in dendritic cells, delayed phagosome maturation in interferon-γ-treated macrophages, and a morphological reorganization of the endo-lysosome system in both cell types, shifting from a large collection of vesicular organelles into a tubular network of endo-lysosomes [13,21,22,89]. Tubular endo-lysosomes are associated with increased pinocytic retention, exchange of phagosomal content within the endo-lysosomal system, and delivery of MHC-II-peptide for presentation, though how this occurs remains unknown [17,20,21,24,90]. Herein, we show that phagocytes also expand the endo-lysosome system and its holding capacity within 2 h of activation. We provide evidence that this expansion relies on altered translation activity driven by the mTORC1-S6K-4E-BP axis to boost expression of several important endo-lysosomal proteins like LAMP1, LAMP2, TRPML1, and V-ATPase subunits. In turn, this seems to enhance antigen retention, leading to efficient antigen presentation.
Expansion and reorganization of the endo-lysosome system in activated phagocytes
Here, we disclose that LPS-activated macrophages and dendritic cells remodel their endo-lysosome system into an expanded tubular network with augmented holding capacity. This conclusion is supported by several observations. First, imaging volumetric analysis revealed that dyes preloaded into endo-lysosomes occupy a greater volume post-LPS activation using both live- and fixed-cell imaging. This increase was not due to an artefact caused by imaging geometrically distinct objects because collapse of tubular endo-lysosomes during standard fixation with 4% PFA or the use of super-resolution imaging still captured a larger volume in LPS-treated phagocytes than their resting counterparts. Second, there was a significant increase in the expression level of major endo-lysosomal proteins, including LAMP1, LAMP2, CD63, TRPML1, and at least 2 V-ATPase subunits, that were blunted by cycloheximide treatment or when up-regulation of translation was prevented by inhibiting Atk, mTOR, S6Ks, or 4E-BPs. In dendritic cells, this included an enhanced expression of MHC-II subunits. Third, activated macrophages could hold a larger amount of fluid phase relative to resting counterparts, suggesting a larger endo-lysosomal compartment to store pinocytic cargo. Thus, overall, activated phagocytes not only undertake morphological reorganization of endo-lysosomes but also expand this organelle network. The increase in endo-lysosome volume and holding capacity is consistent with work by Swanson and colleagues done in the 1980s showing that phorbol ester-activated macrophages retain fluid phase more effectively than resting macrophages [20,61]. Thus, we argue that activated phagocytes expand their endo-lysosomal system.
Functional implications of endo-lysosome expansion and reorganization
Functionally, an expanded endo-lysosome volume may help phagocytes engulf more material and/or process extracellular particulates and soluble cargo more efficiently, as supported by our observation that macrophages can accumulate larger amounts of pinocytic tracers upon LPS-mediated activation. This expansion of the endo-lysosome system should benefit both macrophages and dendritic cells upon activation. Although mature dendritic cells have been reported to have reduced endocytosis [56,57], we show here that dendritic cells exhibit significant pinocytic activity for at least 8 h post activation, providing an avenue to internalize and accumulate antigenic material earlier during maturation. This is also consistent with recent reports revealing that dendritic cells are still able to internalize significant amounts of extracellular content [58,59]. In agreement with this concept, we showed here that LPS stimulation of BMDCs increased presentation of 2 distinct antigenic peptides (HEL48–61 and Eα52–68) and activation of cognate T-cell lines as early as 4 to 6 h of antigen uptake. Importantly, efficient antigen presentation was dependent on mTOR and S6K activities expressed in dendritic cells (as opposed to T cells), suggesting that up-regulated translation coupled to endo-lysosome expansion helps drive antigen presentation. Culminating these observations, we showed that mTOR and S6Ks are important for LPS-activated BMDCs to prime cognate T cells.
Additional processes may facilitate antigen presentation in phagocytes, including LPS-mediated alteration of lysosomal properties like pH, redox state, and degradative capacity. Indeed, our observations suggest that the endo-lysosomal system does not uniformly expand but may undergo a reorganization in its composition and function and that this may itself change over time during phagocyte maturation. For example, we observed that the levels of cathepsin D did not change during 2 h LPS activation of primary macrophages, unlike other proteins we examined (Figs 2 and S3). Moreover, transcripts encoding cathepsin D did not accumulate in heavy polysomes during 2 h LPS in RAW cells but then accumulated after 6 h of LPS (Fig 7). This was corroborated by the genome-wide landscape of mRNAs associated with heavy polysomes in response to 6 h LPS treatment (Figs 8 and S8). For example, our observation that SLC11A1 and SLC11A2 are enriched in heavy polysomes in response to LPS is tantalizing because these proteins sequester divalent Fe2+ from microbes as an anti-microbicidal activity . Thus, we propose that endo-lysosomes not only expand but undergo dynamic functional reorganization over phagocyte maturation. However, we note the caveat that the genome-wide polysome profile analysis was completed using RAW cells, a transformed cell line that grows rapidly and may thus have distinct properties than nonproliferative primary phagocytes. Thus, it will be important to develop and employ transcriptome, polysome profiling, and proteomic analyses using primary phagocytes to better assess phagocyte maturation and adaptation of their endomembrane system.
Acute (2 h) endo-lysosome expansion is not likely driven by transcription
Our data suggest that acute (2 h) upward scaling of the endo-lysosome system in response to LPS is not associated with transcription up-regulation of genes encoding endo-lysosomal proteins. First, although TFEB and TFE3 can scale up lysosomal activity in response to various stresses [14,66,92,93], their kinetics of activation by LPS did not mirror those of endo-lysosome enlargement; endo-lysosome expansion was achieved within 2 h (Figs 1 and 2 and S3), whereas nuclear entry of TFEB/TFE3 required 6 h post-LPS exposure (Fig 3), consistent with past observations . This delayed activation suggests that TFEB and TFE3 are stimulated indirectly by LPS exposure. Second, deletion of TFEB and/or TFE3 did not impair tubulation or endo-lysosome expansion, at least in RAW cells (Fig 3). Third, we did not observe induction of mRNA levels encoding 6 major lysosomal proteins 2 h post-LPS exposure in primary macrophages, suggesting that enhanced transcription was not responsible for increased protein levels of LAMP1, LAMP2, CD63, TRPML1, and V-ATPase subunits within this time frame (Figs 1 and 3C and S3). Nevertheless, there are 2 key caveats in our study. For one, the above conclusions are limited to a select few mRNAs in primary macrophages. Transcriptome analysis of wild-type and tfeb−/− primary macrophages will need to be completed to better understand the contributions of TFEB to endo-lysosome remodelling in response to LPS. Second, we limit our conclusions to early lysosome remodelling, defined here as 2 h of LPS. Transcriptional processes may become more pronounced at latter times to remodel endo-lysosomes, as suggested by transcriptome analysis after 6 h of LPS (Fig 8).
Acute endo-lysosome expansion is driven by translational up-regulation
Phagocyte activation expands the endo-lysosome system within 2 h of LPS exposure. This enlargement is driven by de novo protein synthesis as indicated by the cycloheximide-mediated block of the endo-lysosome expansion. Importantly, we observed that mTOR-dependent translational mechanisms play a key role in LPS-mediated endo-lysosome expansion. First, LPS activates mTORC1, as supported by increased phosphorylation of S6K and 4E-BP1, and enhanced global protein synthesis; importantly, inhibition of mTOR abrogated endo-lysosome expansion. Second, although the translation machinery is governed by a plethora of mechanisms, including mTOR-independent pathways, our data revealed that S6Ks and 4E-BPs play a major role in governing endo-lysosome size expansion in response to stress. mTORC1-mediated inhibition of 4E-BPs releases the translation brake imposed on the translation initiation factor eIF4E [39,94]. On the other hand, the role of S6Ks in this process is potentially more complex given its numerous targets that modulate translation, including the ribosomal protein rpS6, the translation initiator factor eIF4B, PDCD4 which governs the function of eIF4A, eEF2K which governs elongation rates, and SKAR which may promote mRNA splicing and maturation [39,95,96]. It is tempting to propose that mTORC1-regulated mRNA translation may broadly serve to rapidly scale the activity and size of other organelles in response to various signals that regulate cell differentiation, metabolic rewiring, and stress resolution. Consistent with this idea, inhibition of TSC1/2, an inhibitor of mTORC1, or overexpression of S6Ks increased the size and length of cilia in Chlamydomonas reinhardtii and zebrafish .
In addition, it is well accepted that mTOR can selectively modulate translation of specific mRNA subsets. Of these, the best characterized mRNAs are those carrying a 5ʹ terminal oligopyrimidine tract (5ʹTOP), which renders translation of corresponding transcripts mTOR-sensitive [94,98–100]. Notably, a study of human transcripts encoding 5ʹTOP sequences showed an enrichment for transcripts encoding lysosomal proteins . Using transcripts encoding several lysosomal proteins as proxies for endo-lysosome remodelling, we showed that early LPS-mTORC1 signalling increases translation of specific mRNAs (LAMP1, V-ATPases, NPC2, Cln3, SLC11a2, and CtsC), while not affecting cathepsin D, actin, PPIA, and B2M. Although the RefSeq data base suggest that these murine mRNAs do not contain classical 5ʹTOP sequences, several recent studies show that a significant number of mTOR-sensitive mRNAs lack the 5ʹTOP motif [82,83]. Moreover, the 5ʹ untranslated regions (UTRs) annotated in the RefSeq database may not be those expressed . We plan to establish translational assays for primary phagocytes to identify mRNA elements that guide protein synthesis during expansion of the endo-lysosomal system [82,102,103].
A model for endo-lysosome remodelling in activated phagocytes
Acute LPS-mediated phagocyte stimulation causes extensive endo-lysosome reorganization, featuring (i) the previously recognized morphological transformation into a tubular network and (ii) an expansion of the endo-lysosomal network, which we discovered here. We propose a model whereby mTOR independently coordinates distinct, parallel pathways to modulate endo-lysosome expansion, tubulation, and possibly secretion to mediate antigen presentation (S11 Fig). Specifically, we envision that mTORC1-S6Ks-4EBPs catalyse endo-lysosome expansion through increased protein synthesis, possibly using selective translation of specific mRNAs. In comparison, tubulation and secretion of antigen-containing compartments may be driven by the mTORC1-Arl8b-kinesin pathway.
Supporting this model: (i) BMDCs treated with torin1 were entirely blocked for antigen presentation and T-cell activation, yet those treated with S6K inhibitors exhibited antigen presentation and T-cell activation comparable to BMDCs fed antigens without LPS (Fig 9). Additionally, although torin1 potently arrests both expansion and tubulation, S6Ks and 4EBPs manipulation prevented expansion but not tubulation. This implies that mTOR plays additional roles in lysosome remodelling, whereas S6Ks-4EBPs drive expansion; (ii) endo-lysosomes tubules grow towards the cell periphery and form transport intermediates that deliver antigens to the cell surface [21,90]. It is likely that this process is controlled by the Arl8b GTPase, which couples lysosomes to the kinesin motor proteins . For one, Arl8b is required for lysosome tubulation and antigen presentation [17,105]. Additionally, LPS enhances the levels of Arl8b levels on lysosomes in an mTOR-dependent manner . Collectively, we envision that LPS-driven activation of mTOR modulates several pathways to aid in endo-lysosome remodelling, culminating in enhanced antigen uptake, processing, and presentation. Of course, additional processes may be at play including mTOR-modulation of V-ATPase and lysosome positioning machinery that are linked to phagocyte maturation [9,106]. This model and the contributions made by endo-lysosome tubulation, expansion, and luminal remodelling towards antigen presentation and infection resolution will need to be assessed in future studies.
There are of course limitations to our study. First, although mTOR and S6K inhibition blocks lysosome expansion, antigen presentation, and T-cell activation, and there is a strong dependence of antigen presentation on the endo-lysosomal system, the link between endo-lysosomal expansion and antigen presentation is currently correlative. It remains possible that translational activity may regulate additional pathways independently of the endo-lysosomal system that impact antigen presentation. Second, our observations suggest that expansion is not uniformly applicable to all endo-lysosomal components, suggesting that the expanded endo-lysosomal system is functionally remodelled. In this study, we did not functionally examine this, nor how this may change over the temporal scale of phagocyte maturation. Finally, our polysome profiling was done in RAW cells, but with new methodologies, this could be done in primary phagocytes in future studies, following how this changes over time as phagocytes mature. Nevertheless, despite these limitations, our work collectively demonstrates that activated phagocytes reorganize their endo-lysosomal system by expanding and forming a tubular network. This amplifies the endo-lysosome holding capacity of phagocytes, augmenting their ability to retain more extracellular cargo, likely contributing to enhanced antigen presentation. We demonstrate that this process is rapid, occurring within 2 h of activation, and proceeds via enhanced and possibly selective translation of mRNAs encoding endo-lysosomal proteins, governed by mTOR, S6K, and 4E-BPs. Collectively, we propose that mTORC1 and the regulated translation machinery is an important mechanism employed by cells to scale and adapt the size and volume of organelles in response to stress signals.
Materials and methods
All animals were used following institutional ethics requirements under the animal user permit ACC696 and ACC907 approved by the Ryerson University Animal Care Committee, which is certified by the Canadian Council of Animal Care and the Ontario Ministry of Agriculture, Food, and Rural Affairs. Briefly, mice were anesthesized with 5% isoflurane administered by inhalation, followed by cervical dislocation before limb bone dissection to obtain bone marrow. No experiments were performed on live animals.
Cell lines and primary cells
Murine RAW macrophage cell lines carrying CRISPR-mediated deletion of TFEB, TFE3, or both were a kind donation from Dr. Rosa Puertollano, NIH, and were previously described by Pastore and colleagues . These cells and the wild-type RAW264.7 (TIB-71 from ATCC, Manassas, Virginia) were grown in DMEM supplemented with 5% heat-inactivated fetal bovine serum (Wisent, St. Bruno, Canada) at 37°C with 5% CO2. BMDCs and BMDMs were harvested from wild-type 7- to 9-week-old female C57BL/6J mice or C3H/HeN mice (Charles River Canada, Montréal, QC) as previously described by Inaba and colleagues and Weischenfeldt and Porse with minor modifications [107,108]. Briefly, bone marrow was isolated from femurs and tibias through perfusion with PBS using a 27G syringe. Red blood cells were lysed using a hypoosmotic treatment. For BMDCs, cells were plated at 2 × 106/well in 4 ml of DMEM supplemented with 10% fetal bovine serum, 55 μM β-mercaptoethanol, 10 ng/ml recombinant mouse granulocyte-macrophage colony-stimulating factor (PeproTech, Rocky Hill, NJ), and penicillin/streptomycin antibiotics (Wisent). Media was changed every 2 days by replacing half of the medium with fresh medium. For BMDMs, cells were plated according to experimental requirements in DMEM supplemented with 10% fetal bovine serum, 20 ng/ml recombinant mouse macrophage colony-stimulating factor (Gibco, Burlington, ON), and penicillin/streptomycin antibiotics. Media was changed every 2 days. Experiments were conducted on days 7 through 9.
RAW 4EBP4Ala stable cell-line production
We generated RAW cells stably expressing the HA-4E-BP1 (4Ala) phosphorylation mutant or the corresponding empty pBABE vector as previously described by Rong and colleagues , with minor modifications. Briefly, pBABE constructs were transiently transfected into the 293Phoenix-AMPHO packaging cell line using Lipofectamine 2000 (ThermoFisher), as per manufacturer’s guidelines. Following 48 h, the viral titer was harvested and passed through a 0.45 μm filter. The virus-containing medium was then used to infect RAWs in the presence of 8 μg/mL polybrene (Sigma-Aldrich) for 24 h. Infection was repeated twice more. Twenty-four hours after the final infection, the medium was supplemented with 3 μg/mL puromycin (Sigma-Aldrich), and cells were selected for 1 week then harvested.
Rate, retention, and accumulation of pinocytic probes
To measure pinocytosis rate or the accumulation of pinocytic cargo, BMDMs and RAW macrophages were pulsed with 1 mg/mL LY (ThermoFisher Scientific, Burlington, ON) for the indicated time with and without LPS or after 2 h of LPS prestimulation. For pinocytic retention, BMDMs and RAW macrophages were maintained in resting conditions or stimulated with LPS for 2 h, followed by a 30-minute pulse with 1 mg/ml LY. Cells were then washed 3× with PBS, and fresh medium was added for the indicated chase periods. In all cases, cells were then washed in PBS, fixed with 4% PFA for 15 minutes, and washed in PBS. The amount of LY in RAW macrophages was then quantified using LSRFortessa X-20 cell flow cytometer (BD Biosciences, Mississauga, ON) in 10,000 cells per condition per experiment. Flow cytometry analysis was performed using FCS Express 5 (De Novo Software, Los Angeles, CA). For primary macrophages, LY-labelled cells were visualized using ImageXpress Micro Wide-field High Content Screening System (Molecular Devices, Sunnyvale, CA) by which 3 × 4 quadrants per well were acquired, and the level of probe was analysed using MetaXpress 6 (Molecular Devices). To analyse the pinocytic capacity of BMDCs following activation, cells were prestimulated with LPS for the indicated periods, followed by co-incubation with 50 μg/mL of fluorescent dextran in the remaining 30 minutes of the treatment. Cells were then washed 3× with PBS and fixed with 4% PFA for 15 minutes. Afterwards, dextran fluorescence was imaged by confocal microscopy and quantified with Volocity 6.3.0 image analysis software (PerkinElmer, Bolton, ON) by integrating intensity of dextran.
Endo-lysosome labelling and tubulation
For endo-lysosome labelling, cells were pulsed with 50 to 100 μg/ml Alexa546-conjugated dextran (ThermoFisher) for 0.5 to 1 h, followed by 3× wash with PBS, and incubated with fresh medium for at least 1 h. To induce endo-lysosome remodelling, BMDMs and BMDCs were exposed to 100 ng/mL LPS from Salmonella enterica serotype minnesota Re 595 (Sigma-Aldrich, Oakville, ON), whereas RAW macrophages were incubated with 500 ng/mL for 2 h (unless otherwise stated). As noted earlier, we use the term ‘endo-lysosomes’ to reflect that this labelling method likely stains the spectrum between late endosomes, lysosomes, and their hybrids, endo-lysosomes. For pharmacological inhibition, cells were preincubated for 15 to 20 minutes with 100 nM torin1 (Tocris Bioscience, Minneapolis, MN), 10 μM cycloheximide (Bio-Shop), 1 μM LY2584702 (Selleck Chemicals, Houston, TX), or equivalent volume of vehicle. Cells were then imaged live (unless otherwise indicated) in complete medium. Lysosome were scored as tubules if their length was greater than 4 μm.
Antigen presentation assays
For presentation of Eα52–68 peptide, C57BL/6 mice with I-Ab background were used to isolate monocytes for BMDC differentiation, and C3H/HeN mice with I-Ak background (Charles River Canada, Kingston, ON) were used for presentation of HEL. Immature BMDCs were plated on Poly-D-lysine coated glass coverslips prior to incubation with model antigens. On day 7 of differentiation, dendritic cells were incubated with 2 mg/mL of HEL (Sigma-Aldrich) or 60 μM Eα52–68 peptide (MyBioSource, San Diego, CA) in the presence or absence of inhibitors and/or LPS for the time points indicated.
For surface detection of I-Ak::HEL46–62 complexes, Aw3.18.14 mAb was isolated from the supernatant of hybridoma B-lymphocytes (ATCC, Manassas, VA). Briefly, cells were washed with ice-cold PBS 3 times, and incubated in ice-cold Aw3.18.14 for 30 minutes, then washed with PBS and fixed in 4% PFA for 30 minutes on ice. Following, cells were incubated in Dylight-conjugated donkey polyclonal antibody against mouse (1:500; Bethyl) in standard blocking buffer for 1 h. For presentation of I-Ab::Eα52–68 complexes, cells were washed 3 times with PBS and fixed in 4% PFA for 20 minutes at RT. After, cells were permeabilized in 0.1% saponin in standard blocking buffer for 1 h. Following, cells were incubated in 1:75 mAb YAe (Santa Cruz Biotechnology, Dallas, Tx) in blocking buffer for 1 h at RT, washed with PBS, and then incubated Dylight-conjugated donkey polyclonal antibodies against mouse (1:500; Bethyl) in standard blocking buffer for 1 h. Antigen presentation of both I-Ak::HEL46–61 and I-Ab::Eα52–68 complexes was visualized using confocal microscopy.
Immunofluorescence and fluorescence microscopy
To fix and preserve lysosome tubules in RAW cells, cells were incubated with 0.45% (v/v) glutaraldehyde and 0.5% PFA (v/v) in PBS for 15 minutes at room temperature. Cells were then washed with PBS 4x, followed by incubation with 1 mg/mL ice-cold sodium borohydride (Sigma-Aldrich) for 5 min 3x to abate unreacted glutaraldehyde and quench its autofluorescence.
To visualize endogenous TFEB and TFE3, cells were fixed using 4% PFA for 15 minutes following treatment conditions. Cells were then treated with 100 mM glycine in PBS to quench PFA, then in permeabilization buffer (0.2% Triton-X, 2% BSA in PBS) for 10 minutes, and then blocked for 1 h in 2% BSA. Cells were incubated with rabbit anti-TFEB (1:200; Bethyl Laboratories, Montgomery, TX) or rabbit anti-TFE3 (1:500; Sigma-Aldrich) antibodies for 1 h, followed by Dylight-conjugated donkey polyclonal antibodies against rabbit (1:500; Bethyl) for 1 h. Nuclei were counterstained with 0.4 μg/mL of DAPI. For staining LAMP1, dextran-loaded cells were fixed in 0.45% (v/v) glutaraldehyde and 0.5% PFA (v/v) in PBS for 15 minutes at room temperature. Cells were washed with PBS 3× and quenched in 25mM glycine for 15 minutes at room temperature. Cells were permeabilized in ice-cold methanol for 3 minutes and blocked in 2% BSA for 1 h. Cells were then incubated in primary rat anti-LAMP1 (1:100; Developmental Studies Hybridoma Bank) and secondary Dylight-conjugated donkey polyclonal antibodies against rat (1:500; Bethyl) for 1 h each. Cells were then mounted on a slide using DAKO mounting medium.
Live-cell imaging was done at 5% CO2 and 37°C using environmental control chambers. Live-cell and fixed-cell imaging was done with a Quorum Diskovery spinning disc confocal microscope system equipped with a Leica DMi8 microscope connected to an Andor Zyla 4.2 Megapixel sCMOS or an iXON 897 EMCCD camera and controlled by Quorum Wave FX powered by MetaMorph software (Quorum Technologies, Guelph, ON). We also used an Olympus IX81 inverted microscope equipped with a Hamamatsu C9100-13 EMCCD camera and controlled with Volocity 6.3.0 (PerkinElmer). For super-resolution imaging, we employed the Zeiss Elyra PS1 imaging system equipped with an Axio Observer Z1 microscope fitted with the Andor iXon3 885 detector for SIM and powered by Zeiss Zen 2012 software (Zeiss Microscopy, Jena, Germany). Super-resolution image acquisition was acquired by grating for 3 rotations and 5 phases. All SIM reconstructed imaging was done using default settings for image reconstruction; to avoid artefact formation, only images with peak/mean ratios above 20 and noise filter less then −4 were accepted. After reconstruction, Volocity 6.3.0 (PerkinElmer) image analysis software was used. All microscopes were equipped with standard filters appropriate to fluorophores employed in this study, optics, and stage automation.
Image analysis and volumetrics
The nuclear-to-cytosolic ratio of TFEB and TFE3 was estimated as the ratio of the mean fluorescence intensity in the nucleus over the mean intensity in the cytosol after background correction using ImageJ (version 1.47 bundled with 64-bit Java). For LAMP1 and dextran colocalization, we used Mander’s colocalization analysis to measure the degree of dextran colocalizing in LAMP1 structures, using the JACoP plugin in ImageJ after applying background subtraction. For volumetric analysis, we acquired confocal slices over 0.4 μm z-intervals. Because of technical limitations with SIM super-resolution imaging, we sampled the area of fluorescently labelled lysosomes by acquiring 3 confocal slices in the midpoint of the cell, from which we quantified the pixel area for each slice and reported an average per cell. We then used Volocity 6.3.0 image analysis software to quantify the average number of fluorescent voxels or pixels within each cell. Because of the variation in lysosomal size from experiment to experiment, we normalized the average voxel or pixel count to the corresponding control group. For lysosomal tubulation, we scored cells as positive for lysosome tubules if they displayed more than 4 lysosomal tubules greater than 4 μm. For antigen presentation analysis, we acquired confocal slices over 0.3 μm z-intervals and used Volocity to determine the total fluorescence intensity of antigen-MHC-II complexes for 50 to 100 cells per experiment. To control for background, we established a threshold fluorescence intensity measure using a no-antigen control group for during each experiment. Image manipulation was done with ImageJ or Adobe Photoshop (Adobe Systems, San Jose, CA) without altering the relative signals within images or how data may be interpreted. All figures were assembled using Adobe Illustrator (Adobe Systems).
T-cell activation assays
The I-Ab restricted Eα-specific 1H3.1 T-cell hybridoma cell line was used for activation assays to recognize preactivated dendritic cells expressing I-Ab::Eα52–68 complexes. T cells were cultured in RPMI-1640 medium supplemented with 10% heat-inactivated fetal bovine serum (Wisent) and 55 μM β-mercaptoethanol at 37°C with 5% CO2. For activation assays, preactivated DCs were mildly fixed in 1% PFA for 15 minutes at room temperature. Following fixation, cells were washed with PBS 3 times and then quenched thrice in complete medium for 10 minutes each at room temperature. After, 1H3.1 T cells and fixed DCs were co-cultured at 2:1 and incubated for 40 h at 37°C with 5% CO2. Next, the tissue culture medium was collected, and T cells were immediately isolated following centrifugation at 800g for 5 minutes. The supernatant was immediately stored in −80°C for downstream IL-2 secretion analysis. To quantify T-cell activation, secreted IL-2 samples were diluted 1:10 and subsequently analysed using Mouse IL-2 Quantikine ELISA Kit (R&D Systems Inc, Minneapolis, MN) as per manufacturer’s specifications.
Puromycylation and Western blotting
For puromycylation assays, cells were treated with 10 μg/mL of puromycin (Sigma-Aldrich), or an equivalent water volume for the nonpuromycin group, for the last 15 minutes of each treatment. For all Western blot analysis, cells were lysed in Laemmli buffer supplemented with 1:100 protease inhibitor cocktail (Sigma-Aldrich) and PhosSTOP protease inhibitor (Roche, Mississauga, ON) following each treatment. We loaded approximately 0.8 to 1 × 106 cell equivalent per lane, and proteins were then separated in a 10% or 15% SDS-PAGE for high and low molecular weight proteins, respectively. Proteins were transferred to a polyvinylidene difluoride (PVDF) membrane (EMD Millipore, Toronto, ON) and blocked in 5% skim milk or BSA in Tris-buffered saline buffer with 0.1% Tween 20 (TBST). Membranes were then immunoblotted using the appropriate primary and secondary antibodies prepared in 5% skim milk or BSA in TBST at the indicated dilutions. The primary antibodies used were rabbit anti-cathepsin D, ATP6V1H, ATP6V1D (GeneTex Inc., Irvine, CA), S6 ribosomal protein, phosphoSer240/244- S6 ribosomal protein, p70 S6K, phosphoThr389-p70 S6K, 4E-BP1, phosphoThr37/46-4E-BP, β-actin, Ha-Tag and Tata-box binding protein (TBP; Cell Signalling Technologies, Danvers, MA), all at 1:1,000. We also used mouse anti-puromycin clone 12D10 (1:1,000, EMD Millipore), rat anti-LAMP1 (1:200; Developmental Studies Hybridoma Bank, Iowa City, IO), and secondary HRP-linked antibodies raised in donkey (1:10,000, Bethyl). Proteins were detected using Clarity enhanced chemiluminescence (Bio-Rad Laboratories, Mississauga, ON) with a ChemiDoc XRS+ or ChemiDoc Touch imaging system (Bio-Rad). Protein quantification was performed using Image Lab software (Bio-Rad), in which protein loading was normalized to levels of TBP or β-actin and then normalized against the vehicle group. Uncut and unedited images of the Western blots shown in each figure can be found in S1 Raw Images.
LC3 conversion autophagy assay
We measured the conversion of LC3-I to LC3-II using immunoblotting to measure effects on autophagy induction in response to the pharmacological inhibitors used in our study. Primary macrophages were treated with the respective inhibitors as previously described. As a positive control for autophagy induction, we treated cells with Concanamycin A for 2 h and/or cultured cells in Earle’s balanced salt solution (EBSS; Gibco) for 2 and 6 h. Cells were lysed with Laemmli buffer (as described previously) and processed for SDS-PAGE. Proteins were separated on a 20% poly-acrylamide gel using standard SDS-PAGE. Western blotting was performed as previously described, using a primary rabbit anti-LC3 antibody (1:1,000; Cell Signalling Technologies) to detect LC3-I and LC3-II abundance. For autophagy induction, immunoblots were quantified in which a ratio of LC3-II to LC3-I was determined and normalized to loading control actin. Relative autophagy index was determined by comparing each treatment group to resting cells.
For RT-qPCR analysis in BMDMs, total RNA was extracted using the GeneJET RNA purification kit (ThermoFisher). Following RNA isolation, equal quantities of mRNA were reverse transcribed with iScript Reverse Transcription Super Mix (Bio-Rad) following manufacturer’s guidelines. The subsequent cDNA was amplified for quantitative PCR using the TaqMan Fast Advanced Master Mix (ThermoFisher) with appropriate TaqMan assays. The CFX96 Touch Real-Time PCR Detection System (Bio-Rad) and CFX Manager Software (Bio-Rad) were used for amplification and analysis. The TaqMan gene expression assays (ThermoFisher) for the reference genes Abt1 (Mm00803824_m1), B2M (Mm00437762_m1) and for target genes Atp6v1h (Mm00505548_m1), Atp6v1d (Mm00445832_m1), Lamp1 (Mm00495262_m1), Mcoln1 (Mm00522550_m1), CtsD (Mm00515586_m1), Lamp3/CD63 (Mm01966817_g1), Lamp2 (Mm00495267_m1), and IL-6 (Mm00446190_m1) were done in triplicate. Target gene expression was determined by relative quantification (ΔΔCt method) to Abt1 and the vehicle-treated control sample.
Polysome profiling was performed as detailed in Gandin and colleagues . RAW264.7 cells were seeded in a 15-cm Petri dish and treated for 2 h or 6 h with a vehicle (DMSO), 500 ng/mL LPS from Salmonella enterica serotype minnesota Re 595, 100 nM torin1 for 2 h only, or the combination of LPS (500 ng/mL) and torin1 (100 nM), whereby cells were pretreated for 15 minutes with torin1 before stimulation with LPS. Cells were harvested at 80% confluency, washed twice with ice-cold PBS containing 100 μg/mL cycloheximide, and then lysed in hypotonic lysis buffer (5 mM Tris HCl [pH 7.5], 2.5 mM MgCl2, 1.5 mM KCl, 100 μg/ml cycloheximide, 2 mM dithiothreitol [DTT], 0.5% Triton, and 0.5% sodium deoxycholate). Optical density (OD) values at 260 nm (OD260) were measured in each lysate and 15 OD260 were then loaded on 5% to 50% sucrose gradients generated using Gradient Master (Biocomp, Fredericton, New Brunswick); 10% of lysates were saved as input samples for total RNA extraction. Sucrose gradients were subjected to ultracentrifugation (SW41 Ti 11E1698 rotor; Beckman at 260,000g for 2 h at 4°C) and fractionated by displacement using 60% sucrose/0.01% bromophenol blue on an ISCO Foxy fraction collector (35 s for each fraction or approximately 750 μL per fraction) equipped with an ultraviolet lamp for continuous absorbance monitoring at 254 nm. Fractions were flash-frozen immediately after fractionation and stored at −80°C. RNA was isolated with Trizol (Thermofisher) as per manufacturer's instruction. All experiments were carried out at least 3 independent biological replicates (n = 3).
Reverse transcription and RT-qPCR were performed with iScript Reverse Transcription Super Mix (Bio-Rad) and TaqMan Fast Advanced Master Mix (ThermoFisher), respectively. All experiments were carried out at least 3 independent biological replicates (n = 3). Analyses were carried out using relative standard curve method as instructed by the manufacturer. The following TaqMan assays were done using the primers described above for quantitative RT-PCR and in addition to NPC2 (Mm00499230_m1), Cln3 (Mm00487021_m1), Slc11a1 (Mm00443045_m1), Slc11a2 (Mm00435363_m1), CtsC (Mm00515580_m1), Sgsh (Mm00450747_m1), M6PR (Mm04208409_gH), Hyal1 (Mm01230688_g1), Actb (Mm02619580_g1), and Ppia (Mm02342430_g1).
Global polysome profiling and analysis
RNA sequencing libraries were prepared using the Illumina TruSeq Stranded total RNA protocol including ribozero treatment (by the National Genomics Infrastructure, ScilifeLab, Stockholm, Sweden). Paired end sequencing was performed using NovaSeq6000 with control software 1.6.0/RTA version 3.4.4. The resulting RNAseq reads were processed using the nextflow RNAseq pipeline (version 1.3; https://nf-co.re/) using default settings. Within the nextflow pipeline, high quality of sequencing reads was assured using fastQC (http://www.bioinformatics.babraham.ac.uk/projects/fastqc). Sequencing reads were then aligned to the GRCm38 genome using Hisat2  followed by read summarization to assess expression levels using the featureCounts function  with Ensembl annotation . Only protein coding genes localized to Chromosomes 1 to 22, X, Y, and MT were included. Genes with 0 counts in at least one sample were discarded. Raw counts were then analysed using the anota2seq algorithm (version 1.4.2; ) with TMM-log2 normalization . Analysis of changes in translation efficiencies, buffering, total mRNA, and polysome-associated mRNA were performed using the anota2seqAnalyze() function. Changes were considered significant when passing the following parameters within the anota2seqSelSigGenes() function: maxPAdj = 0.25, minSlopeTranslation = -1, maxSlopeTranslation = 2, minSlopeBuffering = -2, maxSlopeBuffering = 1, selDeltaPT = log2(1.2), selDetaTP = log2(1.2), selDeltaP = 0, and selDeltaT = 0. Modes for regulation of gene expression were then determined using the anota2seqRegModes() function. The KEGG pathway database was used to extract genes annotated to the lysosome pathway [113,114]. The RNAseq data are deposited on the Gene Expression Omnibus (GEO) with accession number GSE136470.
S1 Fig. Preservation of tubules during fixation and super-resolution imaging.
(a) RAW macrophage lysosomes labelled with fluid-phase fluorescent probes were imaged live or fixed with 4% PFA or a mixture of PFA and glutaraldehyde as explained in Materials and methods. (b) Percent lysosome tubulation was recorded within the population for cells exhibiting 4 or more lysosomal tubules longer than 4 μm. Statistical analysis was done with an ANOVA, in which a single asterisk indicates conditions that are statistically distinct from the corresponding resting group (*p < 0.05). (c) WF illumination or SIM images of lysosomes in RAW macrophages, BMDM, and BMDCs before and after 2 h of LPS stimulation. Scale bar = 5 μm. See S9 Data for original data in S1 Fig. BMDC, bone marrow–derived dendritic cell; BMDM, Bone marrow–derived macrophage; SIM, structured illumination microscopy; WF, wide field.
S2 Fig. Activated RAW macrophages have a larger lysosome holding capacity.
(a) Accumulation of LY in resting and activated RAW macrophages. RAW cells were stimulated and then allowed to internalize LY over time. (b) Pinocytosis rate by quantifying uptake of LY in RAW macrophages treated as indicated. (c) Retention of LY chased in probe-free medium in RAW cells previously treated as indicated and prelabelled with LY for 1 h. In all cases, fluorescence measurements were done by flow cytometry. (d) Pinocytosis in increasingly maturing DCs exposed to LPS. Microscopy was used to measure the uptake of fluorescent dextran for 30 minutes by DCs exposed to LPS over indicated time points. Shown is the mean ± standard error of the mean from at least 3 experiments. For statistical analysis, ANOVA or analysis of covariance was used, in which an asterisk indicates a significant difference in fluorescent probe levels compared to resting (*p < 0.05). See S10 Data for original data in S2 Fig. DC, dendritic cell; LPS, lipopolysaccharides; LY, Lucifer yellow.
S3 Fig. LPS increases lysosomal protein synthesis through mTOR and S6K.
(a) Western blot analysis of additional lysosomal proteins from whole cell lysates of resting primary macrophages or macrophages exposed to the indicated combinations and time of LPS, CHX, Torin1, LY2, AKTi. (b) Quantification of Western blots showing the levels of LAMP2, TRPML1, and CD63 (LAMP3) normalized to actin. Data shown as the mean ± SEM from at least 3 independent experiments. For panels A and B, ‘2/’ indicates cells stimulated with 2 h of LPS, followed by a 4 h chase, whereas ‘2 h’ and ‘6 h’ represent cells continuously exposed to LPS. See S11 Data for original data in S3 Fig. AKTi, AKT inhibitor; CD63, cluster of differentiation protein 63; CHX, cycloheximide; LAMP3, lysosome-associated membrane protein 3; LPS, lipopolysaccharides; LY, Lucifer yellow; LY2, LY2584702; mTOR, mechanistic target of rapamycin; S6K, S6 kinase; TRPML1, transient receptor potential mucolipin 1.
S4 Fig. Basal lysosome properties and trafficking is indistinguishable in wild-type RAWs and strains deleted for TFEB and/or TFE3.
(a–b) Western blot analysis of whole-cell lysates from TFEB−/−, TFE3−/− and double deleted cell lines. (b) Quantification showing mutant lines are devoid of TFEB and/or TFE3 proteins from 3 independent blots. (c) LAMP1 levels in whole-cell lysates from wild-type and deletion mutants of TFEB and/or TFE3. (d) Quantification of LAMP1 levels in knock-out cells. LAMP1 levels were normalized to β-actin to control for loading. Statistical analysis using ANOVA determined that LAMP1 levels did not vary across strains. (e) Colocalization of dextran and LAMP1 in wild-type and deletion strains. Right, middle, and left panels show dextran (red), endogenous LAMP1 (green) and merge, respectively. Scale bar = 5 μm. (f) Mander’s coefficient of dextran co-localizing in LAMP1 structures. Data are shown as RU, normalized to wild-type strain. (g) Pinocytosis label after a 1 h pulse and 1 h chase of fluorescent dextran in resting wild-type and deletion RAW strains, measured by microscopy and image analysis. Mean fluorescence intensity was normalized to wild-type strain and is represented as RU. (h) Dextran fluorescence in RAW and deletion strains 2 h after LPS exposure or vehicle. For all data, shown are the mean± standard deviation from at least 3 independent experiments. See S12 Data for original data in S4 Fig. LAMP1, lysosome-associated membrane protein 1; LPS, lipopolysaccharides; RU, relative units; TFEB, transcription factor EB; TFE3, transcription factor E3.
S5 Fig. LPS stimulates global protein synthesis through mTOR-S6K-4E-BP axes.
(a) Western blot analysis of whole-cell lysates from resting and activated primary macrophages. Total levels and phosphorylation status of S6K and 4E-BP1 were monitored using the indicated antibodies. TBP served as a loading control. (b–c) Normalized ratio of (b) p-p70S6K and (c) p-4EBP1 to total p70S6K and 4E-BP1 protein. Shown is the mean ± standard deviation from 3 independent blots. (d) Western blot analysis of LC3-I to LC3-II conversion to measure treatment effect on autophagy induction in primary macrophages. BMDMs were activated with LPS in the presence or absence of protein synthesis, mTOR and S6K inhibitors for the time points indicated in brackets. ConA and EBSS treatment was used as a positive control for autophagy induction. (e) Quantification of panel d from 3 independent experiments. Ratio of LC3II to LC3I levels was normalized to actin loading control. (f) Western blot analysis of protein puromycylation in resting and activated primary macrophages. LPS increases the amount of puromycylation indicating a boost in global protein synthesis that is blocked by mTOR inhibitors or cycloheximide. Lane 1 is control lysates from cells not exposed to puromycin. The band indicated by the arrow is a nonspecific band recognized by the anti-puromycin antibody. p-p70S6K and β-actin were used to monitor mTOR status and as a loading control, respectively. (g) Normalized puromycylation signal (excluding nonspecific band) normalized over β-actin signal. Data are shown as the mean ± standard deviation from 4 independent experiments. For panels b, c, e, and g, statistical analysis was done with an ANOVA, in which a asterisk or two asterisks indicates conditions that are statistically distinct from control group (*p < 0.05). (h) Normalized ratio of phosphorylated ribosomal S6 to total ribosomal S6 as depicted in Fig 5F in primary macrophages treated with LY2 alone or co-incubated with LPS for 2 h. Shown is the mean ± standard deviation of the mean from 5 independent blots. (i) Relative mRNA levels of select lysosomal genes (right) or interleukin-6 (left) in LPS and/or LY2 treated primary macrophages relative to Abt1 housekeeping gene and normalized against resting cells. Quantification was done with qRT-PCR by measuring the ΔΔCt as described in Materials and methods. Shown is the mean ± standard error of the mean from 4 independent experiments. See S13 Data for original data in S5 Fig. BMDM, Bone marrow–derived macrophage; ConA, Concanamycin A; EBSS, Earle’s balanced salt solution; LC3, Microtubule-associated protein 1A/1B-light chain 3; LPS, lipopolysaccharides; LY, Lucifer yellow; LY2, LY2584702; mTOR, mechanistic target of rapamycin; qRT-PCR, Quantitative real-time Polymerase Chain Reaction; S6K, S6 kinase; TBP, Tata-box binding protein; 4E-BP, 4E-binding protein; ΔΔCt, change in threshold cycle.
S6 Fig. Polysome profiling of RAW macrophages: Additional replicate data.
Percent of target mRNA—(a) LAMP1, (b) ATP6V1H, (c) ATP6V1D, (d) CtsD, (e) β-actin, (f) PPIA, and (g) B2M—associated with each ribosome fraction in resting, LPS-treated macrophages, and macrophages co-exposed to LPS and torin1 or treated with torin1 alone. Left, middle, and right panels show 2 h, 6 h, and torin1 (2 h) treatments, respectively. Shown is an additional biological replicate of the experiment described in Fig 7. See S14 Data for original data in S6 Fig. ATP6V1D, V-ATPase V1 subunit D; ATP6V1H, V-ATPase V1 subunit H; B2M, β2-microglobulin; CtsD, Cathepsin D; LAMP1, lysosome-associated membrane protein 1; LPS, lipopolysaccharides; PPIA, peptidylpropyl isomerase A.
S7 Fig. The effects of RAW macrophage stimulation by LPS on protein synthesis.
Percent of target mRNA—(a) LAMP1, (b) ATP6V1H, (c) ATP6V1D, (d) CtsD, (e) β-actin, (f) PPIA, and (g) B2M—associated with each ribosome fraction in resting and torin1 (2 h; 100 nM) treated cells for data presented in Fig 7. See S15 Data for original data in S7 Fig. ATP6V1D, V-ATPase V1 subunit D; ATP6V1H, V-ATPase V1 subunit H; B2M, β2-microglobulin; CtsD, Cathepsin D; LAMP1, lysosome-associated membrane protein 1; LPS, lipopolysaccharides; PPIA, peptidylpropyl isomerase A.
S8 Fig. Polysome-profiling validation of select targets identified through RNAseq analysis.
Percent of target mRNA—(a) NPC2, (b) Cln3, (c) Slc11a1, (d) CtsC, (e) Slc11a2, (f) Sgsh, (g) M6PR, and (h) Hyal1—associated with each ribosome fraction in resting, LPS-treated macrophages, and macrophages co-exposed to LPS and torin1. See S16 Data for original data in S8 Fig. Cln3, neuronal ceroid-lipofuscinosis 3; Hyal1, Hyaluronidase-1; LPS, lipopolysaccharides; M6PR, mannose-6-phosphate receptor; NPC2, Niemann-Pick disease type C2 protein; RNAseq, RNA sequencing; Sgsh, sulfamidase; Slc11a1, solute carrier 11A1; Slc11a2, solute carrier 11A2.
Percent of target mRNA—(a) LAMP1, (b) ATP6V1H, (c) ATP6V1D, (d) β-actin, (e) PPIA, and (f) B2M—associated with each polysome fraction in resting, LPS-treated macrophages and macrophages co-exposed to LPS and torin1 for 6 h. Biological replicate 1 (left) and replicate 2 (right) of data presented in Fig 8 global RNAseq analysis from a total of 3 experiments. See S17 Data for original data in S9 Fig. ATPV1D, V-ATPase V1 subunit D; ATP6V1H, V-ATPase V1 subunit H; B2M, β2-microglobulin; LAMP1, lysosome-associated membrane protein 1; LPS, lipopolysaccharides; PPIA, peptidylpropyl isomerase A; RNAseq, RNA sequencing.
S10 Fig. Effect of LY2584702 and torin1 treatments on HEL presentation by BMDCs.
(a) I-Ak::HEL46–61 presentation in BMDCs after incubation with HEL for 6 h in the presence and/or absence of LPS, torin1, and LY2. I-Ak::HEL46–61 cell surface levels were detected by staining unpermeabilized cells with the monoclonal antibody Aw3.18.14. (b) Quantification of total average fluorescence intensity of I-Ak::HEL46–61 complexes at the plasma membrane. Shown is the mean ± SD from 3 experiments, from which 50 to 100 cells were quantified for each. Data were analysed using ANOVA, in which a single asterisk indicates a difference compared with the Resting + HEL condition and two asterisks indicate a difference compared with HEL+LPS (p < 0.05). Scale bar = 15μm. Colour scale: 0 to 12,000 (low to high). See S18 Data for original data in S10 Fig. BMDC, bone marrow–derived dendritic cell; HEL, Hen Egg Lysozyme; LPS, lipopolysaccharides; LY, Lucifer yellow.
S11 Fig. A model for mTORC1-dependent regulation of lysosome remodelling in phagocytes in response to LPS stimulation.
LPS engages the PI3K-AKT-mTOR signal axis to stimulate mTORC1 activity. We suggest that mTORC1 then regulates 2 parallel pathways to modulate lysosome size and morphology: (i) mTORC1 activity augments Arl8b GTPase levels on the lysosome membrane to boost kinesin-1 recruitment to coordinate lysosome extension and anterograde transport. (ii) In parallel, mTORC1 stimulates S6Ks and inhibits 4E-BPs to promote translation and rapidly boost levels of various (select) endo-lysosomal proteins, catalysing endo-lysosome expansion. This expansion increases the holding capacity of the endo-lysosomal system, likely promoting antigen retention. Together both pathways, (i) and (ii), converge to promote lysosome remodelling, collectively bolstering immunity. Importantly, this model does not imply that mTORC1 has no additional functions contributing to phagocyte activation and antigen presentation, nor does it imply that enhanced translation only boosts endo-lysosomal function. Arl8b, ADP Ribosylation Factor Like GTPase 8B; LPS, lipopolysaccharides; mTOR, mechanistic target of rapamycin; mTORC1, mechanistic target of rapamycin complex 1; PI3K, phosphoinositide 3-kinase; S6K, S6 kinase; 4E-BP, 4E-binding protein.
RNAseq, RNA sequencing.
We would like to thank Dr. Rosa Puertollano at the NIH for her kind donation of the CRISPR-deleted RAW strains (tfeb−/−, tfe3−/− and tfeb−/− tfe3−/− cells). We would like to thank Paul Paroutis and Michael Woodside from the Hospital for Sick Children Imaging Facility (Toronto, ON) and Christopher Spring from St. Michael’s Hospital Flow Cytometry Facility (Toronto, ON) for their technical advice and expertise. We would like to thank the technical support staff at the Vivarium Facilities at St. Michael’s Hospital for assistance in training and mice maintenance. The authors acknowledge assistance from the National Genomics Infrastructure in Genomics Production Stockholm supported by Science for Life Laboratory, the Knut and Alice Wallenberg Foundation and the Swedish Research Council, and SNIC/Uppsala Multidisciplinary Center for Advanced Computational Science for assistance with massively parallel sequencing and access to the UPPMAX computational infrastructure. The LAMP1 hybridoma antibody, developed by J.T. August, was obtained from the Developmental Studies Hybridoma Bank, created by the NICHD of the NIH and maintained at The University of Iowa, Department of Biology, Iowa City, IA.
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