The mammalian prion protein (PrP, encoded by Prnp) is most infamous for its central role in prion diseases, invariably fatal neurodegenerative diseases affecting humans, food animals, and animals in the wild. However, PrP is also hypothesized to be an important receptor for toxic protein conformers in Alzheimer's disease, and is associated with other clinically relevant processes such as cancer and stroke. Thus, key insights into important clinical areas, as well as into understanding PrP functions in normal physiology, can be obtained from studying transgenic mouse models and cell culture systems. However, the Prnp locus is difficult to manipulate by homologous recombination, making modifications of the endogenous locus rarely attempted. Fortunately in recent years genome engineering technologies, like TALENs or CRISPR/Cas9 (CC9), have brought exceptional new possibilities for manipulating Prnp. Herein, we present our observations made during systematic experiments with the CC9 system targeting the endogenous mouse Prnp locus, to either modify sequences or to boost PrP expression using CC9-based synergistic activation mediators (SAMs). It is our hope that this information will aid and encourage researchers to implement gene-targeting techniques into their research program.
Citation: Kaczmarczyk L, Mende Y, Zevnik B, Jackson WS (2016) Manipulating the Prion Protein Gene Sequence and Expression Levels with CRISPR/Cas9. PLoS ONE 11(4): e0154604. https://doi.org/10.1371/journal.pone.0154604
Editor: Jiyan Ma, Van Andel Institute, UNITED STATES
Received: March 22, 2016; Accepted: April 16, 2016; Published: April 29, 2016
Copyright: © 2016 Kaczmarczyk 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: All relevant data are within the paper and its Supporting Information files.
Funding: This work was supported by internal funding from the DZNE.
Competing interests: The authors have declared that no competing interests exist.
Abbreviations: Cas9, CRISPR-associated system nuclease 9; CC9, CRISPR/Cas9; CRISPR, clustered regularly interspaced short palindromic repeats; DSB, double strand break; ESCs, embryonic stem cells; HR, homologous recombination; NHEJ, non-homologous end joining; Prnp, prion protein gene; PrP, prion protein; RIT, random integration transgenic; SAM(s), synergistic activation mediator(s); sgRNA, short guide RNA; TALENs, transcription activator-like effector nucleases; ZFNs, zinc finger nucleases
PrP is an extracellular, membrane-anchored glycoprotein, abundantly expressed in brain of a wide range of species, especially mammals . The function of the physiological form of PrP, called the cellular form or PrPC for historical reasons, is a matter of debate, but evidence exists for its role in synaptic plasticity [2–4], cell signaling , and neuroprotection [6–10], especially from stroke [11,12]. PrPC can be subverted into neurodegenerative cascades via binding to toxic protein assemblies related to Alzheimer's disease [13–15]. In a group of rare neurological disorders known as prion diseases (PrDs) PrP is twisted into a toxic conformer–PrPsc–which is also an infectious agent (prion) [16,17]. Although rare, PrDs have many features in common with more prevalent neurodegenerative diseases, like Alzheimer’s or Parkinson’s diseases [18–20]. A remarkable feature of PrDs is that a single protein, PrP, can cause profoundly different diseases [21–23]. Thus, factors and mechanisms leading to differences in neurodegenerative diseases in general can be investigated by studying PrDs. Key insights into PrP biological functions were obtained from studies of transgenic mice expressing PrP mutants. For example, mouse studies conclusively showed that PrPC is absolutely required for PrPsc toxicity [24,25] and that sequence changes in PrP largely account for differences in vulnerability to prion infection [26,27]. However, mechanisms of prion replication and toxicity remain elusive, likely involving a complex interplay between physiological properties of individual cells, the amount and sequence of PrP expressed, and the nature and sequence of invading prions .
Much can be learned from creating mouse models expressing PrP variants. Such models can be engineered via gene-targeting of the endogenous gene locus (Prnp) to produce knock-in mice (KIs), or by allowing PrP expressing transgenes to integrate into random locations in the genome, resulting in random integration transgenic mice (RITs). An important advantage of the RIT approach, aside from the relative ease of the technique, is increased expression of PrP, accelerating the disease progression and exacerbating the effects of mutations [29–31] that are typically much milder when expressed from the endogenous location [22,32,33].
However, RITs are vulnerable to position effects leading to disparate spatial expression patterns in different lines, a confounder that is often ignored even though it likely contributes to phenotypic differences between different mutants expressed as RITs . Unfortunately, manipulation of the endogenous Prnp locus in mice has been a challenge. The first attempt to knockout Prnp involved selecting, isolating, and screening of ~10.000 embryonic stem cell (ESC) clones by tedious Southern blotting [35,36]. Despite some significant improvements [32,37–39], the low efficiency of modifying Prnp in ESCs with homologous recombination (HR) has long thwarted efforts with this procedure, most likely due to a “closed” chromatin state of the locus [40–42]. To avoid this difficulty, most investigators continue to develop PrP transgenic mice with RITs, often driven by the moPrP.XhoI vector composed of fragments of Prnp from multiple sources [43–45]. New tools to manipulate endogenous Prnp were sorely needed to reduce the technological hurdles in creating Prnp KI mice.
Help came with the advent of powerful new genome engineering technologies, especially TALENs and CRISPR/Cas9 (CC9), which brought unprecedented precision and efficiency to targeted mutagenesis, making generation of gene KIs easier and faster [34,46–48]. Since the CC9 system is theoretically very simple to program to target specific locations by modifying the short single guide RNA (sgRNA) component (Fig 1), we tested its efficiency in stimulating HR in the Prnp locus in mouse ESCs. We evaluated several sgRNAs and identified some that were highly efficient in mutating ESCs and mouse fertilized oocytes. Furthermore, we evaluated several sgRNAs as components of SAM complexes (see Fig 1, left panel) for their efficiency in stimulating Prnp expression , obtaining up to 10-fold increases in mRNA and protein levels. Improved Prnp targeting will greatly facilitate production of more consistent disease models, and Prnp-directed SAMs can complement existing models by accelerating PrP expression ubiquitously, or in specific cell populations.
On the right, a Cas9 nuclease together with sgRNA (in red) induces a double strand break (DSB) in the DNA. Damage results in recruitment of DNA repair mechanisms, including homology-mediated repair (HDR), which can be harnessed to introduce and/or replace DNA fragments. On the left, a SAM complex consisting of catalytically inactive Cas9 (dCas9) fusion with VP64 activation domain and sgRNA2.0 (in blue) binds to a promoter region and stimulate gene expression. Transcription is further augmented by recruitment of a protein fusion comprising p-65 and heat shock factor 1 (HSF1) transcription factors and MS2 bacteriophage coat protein, which associate the complex to MS2 stem-loops in sgRNA2.0 [49,66].
Materials and Methods
Experiments were approved by the State Office of North Rhine-Westphalia, Department of Nature, Environment and Consumerism (LANUV NRW), approval number 84–02.04.2014.A372. All measures were taken to minimize the number of animals used, as well as to maximally reduce their discomfort and pain.
Fertile male and female mice to generate fertilized oocytes were supplied by Charles River (France). Foster females and males for making them pseudopregnant (both RjHan:NMRI) were sourced from Janvier labs (France). Animals were kept in a 12 h light / 12 h dark photoperiod at 22°C (± 2°C) and a humidity of 55% (± 5%) with access to water and food ad libitum. Mice maintenance and handling was according to local government regulations and the Directive 2010/63/EU revising Directive 86/609/EEC).
Prnp targeting vectors were generated using standard molecular biology techniques. A conventional Prnp KO (tagging) vector was constructed similar to a previous one  except that the HPRT mini-gene was blunt ligated into pWJPrP38  opened by digestion with EagI and ClaI restriction endonucleases, thereby specifically removing PrP protein coding sequence but leaving the rest of exon 3 intact. KI targeting constructs were generated with a two-step process. First, a neomycin selection cassette flanked by Flp recombinase sites (Addgene plasmid #22687) was ligated into an engineered EcoRV site located 78bp upstream of Prnp exon 3 in the pWJPrP38 targeting vector template , creating pWJPrP 101. Second, PrP ORF variants (hamster and bank vole PrP variants, and PrP-EGFP fusion proteins) were ligated into the ClaI and EagI sites of pWJPrP101. Detailed descriptions of KI vectors will be included in reports describing the specific mouse lines. Spacer sequences to generate pX330 (Addgene plasmid #42230) and pX459 (Addgene plasmid #62988) derivatives for targeting Prnp locus were sourced as 5’ phosphorylated oligonucleotides (Sigma Aldrich), annealed through cycle of heating and slow cooling in 50mM NaCl, diluted to 100nM, and cloned into BbsI site. Vectors for SAMs were Addgene plasmids plasmids #61422 (MS2–p65–HSF1), #61423 (dCas9-VP-64), #61424 (sgRNA2.0 backbone) (see ). Spacers were cloned into sgRNA2.0 backbone same way as in case of pX330 and pX459.
ES cell culturing, targeting and genotyping
Mouse V6.5 ES cells  were grown on gelatin-coated plates, on a confluent layer of PMEF-N fibroblasts (Millipore), at 37°C in 10% C02, in DMEM containing high (4500 mg/L) glucose, 20% ES cell-qualified FCS (Millipore), 1x nucleosides (Millipore), 4 mM L-glutamine (Gibco), 1 mM Na-pyruvate (Gibco), 1x NEAA (Gibco), 1x Penicillin-Streptomycin (Gibco), 7 μl/L 2-mercaptoethanol and 1000 U/ml LIF (Millipore). ESCs were fed daily and split every 2–3 days. PMEF-N fibroblasts were grown in the same medium as ESCs, but containing standard FCS and no LIF and nucleosides. For electroporation, 5–10 x 106 cells were used. ESCs were trypsinized, gently triturated to break cell clumps and suspended in ESC electroporation buffer (Millipore). Cells were electroporated using Gene Pulser Xcell (Biorad) set to 300V/250 μF. 40 μg of homology template and 10 μg of CC9 vectors were used per electroporation. DNA for electroporation was prepared by the following steps: 1) isolation from Stbl3 E. coli strain (Life technologies) using Endo Free MAXI Prep Kit (Qiagen), 2) overnight digestion of 100–200μg DNA with XhoI restriction enzyme (NEB) in 400μl reaction volume (1U of enzyme per μg of DNA, 3) precipitation by addition of 1ml 100% EtOH, 4) transferring the precipitated DNA using p1000 pipette to a new tube containing 1ml of 70% EtOH, 5) pelleting and resuspending in 100–200μl of ESC electroporation buffer (Millipore). After the pulse, cells were transferred into warm ESC medium and distributed into feeder-coated plates. Geneticin (Gibco, 350 μg/ml) selection was started after 18–24 hrs and continued for 3 days with daily change of the selection medium. Afterwards, colonies were grown for additional 4–6 days in ESC medium (until ready for harvesting), harvested with 1000 μl pipette, trypsinized and plated on gelatin and feeder-coated 24-well plates. Clones were expanded for 3–4 days, and then frozen, leaving small aliquots of cells further expanding for DNA isolation. For genotyping, DNA from confluent 24-well plates was isolated by lysis in buffer containing 10mM Tris-Cl pH 7.5, 10mM NaCl, 10 mM EDTA, 0.5% SDS and 1 mg/ml proteinase K, followed by EtOH precipitation. Long PCR to confirm genomic location were performed with LongAmp Taq polymerase (New England Biolabs), using 65°C annealing/extension temperature and 1 min/kb extension time. Used primer sequences are listed in S1 Table.
Pronuclear injection (PNI) of CC9 components
Three days prior to PNI fifteen 3–4 weeks old C57BL/6NCrl females were injected intraperitoneal (i.p.) with 5 IU of PMSG (pregnant mare’s serum), followed by i.p. injection of 5 IU of hCG (human Choriongonadotropin) 48 h later. Females were subsequently mated 1:1 with 12 weeks old C57BL/6NCrl males. On the day of injection plug check was performed and females were sacrificed by cervical dislocation. Fertilized oocytes were collected upon preparing oviducts and rupturing the ampullae. Washing and incubation steps were performed as described elsewhere . The injection mix (100 ng/μl Cas9 RNA, 50 ng/μl sgRNA, 20 ng/μl targeting construct DNA) was centrifuged for 10 min/4°C/9838 g and placed on ice prior to injection. Injections were directed to the male pronucleus. Constant pressure throughout the process led to injection of smaller amounts of injection mix into the cytoplasm. Unilateral embryo transfer into pseudopregnant foster females was either directly performed or when embryos reached the 2-cell stage. DNA from obtained founders was PCR amplified using 5’-ATCACCATCAAGCAGCACAC-3’ forward primer and 5’-CAACGTCAGTAGGACAATTTGA-3’ reverse primer, isolated from the gel and sequenced with the Sanger method using the forward primer.
N2a cell maintenance, transfection and FACS sorting
N2a cells were cultured under the same conditions as MEFs. Confluent cells were transfected with combinations of vectors: MS2–p65–HSF1, dCas9-VP-64, and sgRNA2.0 containing Prnp-specific sgRNAs (Prnp SAM 1–9), with lipofectamine 3000 according to the manufacturer’s protocol, using respectively 15 μg / 15 μl / 15 μl of DNA/lipofectamine/P3000 reagent per 10 cm plate (or scaled proportionally). For fluorescence-activated cell sorting (FACS) experiments cells were harvested by trypsinization 24 h post transfection, suspended in MEF medium at a density of ~5x106 cells/ml and kept on ice. EGFP-positive cells were enriched by FACS on FACSAria III cell sorter (Beckton Dickinson), using 530/30 emission filter for EGFP. Cell populations were gated as presented in S1 Fig. Sorted cell suspensions were chilled during sorting and (immediately after) spun down and snap-frozen (for immunoblotting) or lysed in RLT buffer (for sqRT-PCR).
Total RNA was purified with RNeasy Plus Mini Kit (Qiagen). Final RNA concentrations were adjusted to the value of the least concentrated sample. Reverse transcription was done with TaqMan Reverse Transcription Kit (ABI) using the manufacturer’s protocol, without addition of DTT, with a mixture of oligo d(T) and random hexamers for priming, and 0.5 μg of total RNA as template. 0.5 μl of obtained cDNA was used for RT-PCR reaction, using SYBR Green PCR Master Mix (ABI), in 384-well PCR plates (ABI) with a 7900HT Fast Real-Time PCR System (ABI). For each reaction, critical threshold cycle (Ct) value was determined using SDS 5.0 Software (ABI) and primer specificity was confirmed by melt curve analysis. Two independent primer pairs for Prnp were used, and the data were analyzed with the ΔΔCt method, using the average Ct values of HPRT and ß-actin (ACTB) for normalization. Primer sequences (5’-3’): Prnp1_F: GTCGCATCGGTGGCAGGACT, Prnp1_R: CAGCCAGTAGCCAAGGTTCGCC, Prnp2_F: ACATCTGAAGTATGGGACGC, Prnp2_R: TAGGGGTCTGCTTTGGAATC, HPRT_F: CTCTGGTAGATTGTCGCTTATC, HPRT_R: CTCTTAGATGCTGTTACTGATAG, ACTB_F: GTTACAGGAAGTCCCTCACC, ACTB_R: ACCAAAGCCTTCATACATCAAGT.
Deep-frozen cell culture pellets were lysed in 2x LDS (lithium dodecyl sulfate) sample buffer containing 40 mM DTT. Lysates were forced through a 27G needle several times to cleave DNA and reduce viscosity, and then denatured at 80°C for 10 min prior to loading on 10%NuPAGE Novex midi gels (Life Technologies). Gels were run using MES [2-(N-morpholino) ethane sulfonic acid] running buffer at 160 V. Gels were electro-transferred to nitrocellulose membrane (Bio-Rad), submerged in transfer buffer (20% methanol, 25 mM Tris-Cl, 0.19 M glycine), using a Criterion transfer tank (BioRad), at 700 mA, for 70 minutes. Membranes were blocked for 20 min at RT in 5% powdered milk in PBST (PBS with 0.05% tween-20) and then incubated with primary antibody diluted in blocking buffer overnight at 4°C. Next, blots were washed 4x with PBST and incubated with secondary antibody for 30min at RT, followed by 5 PBST washes at RT and imaging with the Li-Cor Odyssey system. For re-probing, membranes were stripped for 10 min with Re-Blot solution (EMD-Millipore), followed by repeated blocking. Membranes were imaged with the Odyssey imaging system (LI-COR Biosciences). Primary antibodies: mouse anti-PrP SAF83 (dil. 1:2000, Cayman Chemical), mouse anti-α-tubulin (dil. 1:10000, Sigma Aldrich). Secondary antibody: donkey-anti-mouse IRDye 800CW (dil. 1:20000, Li-Cor).
FACS analysis and immunocytochemistry on N2a cells
N2a cells were cultured and transfected as described above. For FACS analysis, to preserve cell surface PrP, cells were harvested without trypsin, by scraping in PBS (without Ca2+ and Mg2+). Prior to scraping, cells were incubated for 1h with SAF83 primary antibody (dil. 1:2000, Cayman Chemical), washed with PBS and incubated with Alexa 647-coupled goat-anti-mouse secondary antibody (Life Technologies). Prior to FACS, suspensions were filtered through 70μm mesh. Data were acquired using the FACS Canto II flow cytometer (BD Biosciences) and analyzed with FlowJo software v.10.1 (Tri Star, Inc.). For immunocytochemistry, cells were cultured on 8-well chambered coverglass (Nunc), stained identically as for FACS analysis, and imaged with LSM700 confocal microscope (Carl Zeiss).
Gene targeting experiments results were assessed with Cochran-Mantel-Haenszel test for repeated tests of independence. In each case, the experiment was repeated at least three times, and at least eight colonies were analyzed per replicate. For sqRT-PCR in gene activation experiments, Kruskal-Wallis test was used, followed by Dunn’s multiple comparison post-test.
Evaluation of CC9 sgRNAs for manipulating the Prnp locus
Prior to the discovery of CC9, we typically performed gene-targeting experiments using the double replacement or tag and exchange strategy [22,32,52,53]. This strategy involved 1) targeting (or “tagging”) the Prnp locus with a selectable marker (HPRT), and 2) re-targeting the locus, this time “exchanging” the tagged allele for an in vitro modified allele. The HPRT mini gene is an especially useful selectable feature: cells with HPRT activity are resistant to hypoxanthine-aminopterin-thymidine (HAT), whereas cells without HPRT activity are resistant to 6-thioguanine (6-TG) . Using this strategy, our routine gene-targeting experiments were carried out on two to three replicates done on successive days. On each day, typically three 10 cm dishes were selected for each electroporation, occasionally resulting in a total of three to five positive clones, but often resulting in none. Since ESCs require fresh media nearly every day, at a cost of ~ two Euro per 10 cm dish, plus the time to perform the labor (which is invaluable), it became a significant investment to create these lines. Thus, there was much room for improvement.
For our initial assessment of Prnp gene targeting efficiency with CC9, we used the same homology template vector as with our numerous previous gene-targeting experiments, this time containing a 4kb transgene between the homology arms (Fig 2A). We designed six different sgRNAs and tested each separately (see Fig 2A and 2B and S2 Table). Spacer sequences were cloned into the pX459 CC9 vector, carrying expression cassettes encoding both hybrid sgRNA and spCas9-2A-Puro (Fig 2B) . We envisioned using puromycin to select for cells expressing the puromycin resistance gene and thus the Cas9 nuclease (co-expressed by the spCas9-2A-Puro plasmid). Unfortunately, the exquisite toxicity of puromycin on ESCs is notoriously difficult to titrate and the conferred resistance from the spCas9-2A-Puro plasmid was insufficient to rescue our rapidly dividing ESCs. Therefore, our strategy relied on G418 selection of the neomycin resistance gene contained in the KI targeting construct. To facilitate the direct comparison of conventional tag and exchange targeting to CC9 directed HR, we created a heterozygous ESC line that is wild-type on one Prnp allele while the other allele had the PrP coding sequence (Fig 2A, "PrP ORF") replaced with an HPRT minigene (PrnpWT/HPRT, not shown). The targeting constructs included PrP sequences from different species, with numerous sequence differences from the mouse PrP coding sequence. As a result, the transgenes provided poor substrate for homologous recombination with the endogenous PrP coding sequence, and therefore the homology arms on the ends would be the only drivers of HR. Although the targeting constructs carried a negative selectable marker (HSV-TK), the drug it confers resistance to (gancyclovir) was not applied. Thereby, integration events were not selected against, creating a strategy analogous to the earliest gene-targeting experiments . With this combination of targeting construct and either WT or heterozygous ESC lines, we were set to detect, within the same gene-targeting experiment, HR events dependent on CC9 compared to those from non-CC9 HR events. The latter would be expected to be enriched in events that exchanged the PrnpHPRT allele and conferred resistance to 6-TG. When tested in WT or PrnpWT/HPRT ESCs, three out of six guides led to significant improvement of the targeting efficacy as compared with the control experiments where no CC9 was used (Fig 2C). Interestingly, for experiments with PrnpWT/HPRT cells, all G418-resistant clones were sensitive to 6-TG, indicating that the WT allele, and not the HPRT allele was replaced, and that HR facilitated by CC9 greatly exceeded HR without CC9. We selected guide #3 (HR Prnp 3, Fig 2C) for further experiments. Using the same homology template, we reproducibly obtained HR efficiencies exceeding those of random integration (the majority of G418-resistant cells were gene-targeted) (Fig 3A). Importantly, application of CC9 resulted in a nearly ten-fold increase in the proportion of clones that were positive (79.2±7.2% for HPRT/WT cells) and (88.6±4.6%%) for WT/WT cells) compared to experiments without CC9 (9.7±2.4%, Fig 3B).
(A) Schematic gene knock-in into the mouse Prnp locus using homology vector used for all targeting experiments. sgRNA binding sited were marked with white arrows. Primer binding regions used for subsequent genotyping of recombined clones were marked with purple arrows and designated p1 through p6. NeoR–neomycin resistance gene; FRT–Flp recombinase recognition site for removal of selection cassette after successful gene targeting. Regions of homology were shaded in grey. (B) Schematic of the experimental workflow for sgRNA evaluation. In brief, cells were electroporated with a Prnp targeting vector only, or Prnp targeting vector and a CC9 encoding guides #1-#6. In each case, targeting efficiency was assessed by long PCRs spanning the homology arms. (C) Histogram of CC9-assisted targeting efficiency for each of the six tested sgRNA compared to “no CC9” control (first column). “*”—p<0.05; “**”—p < 0.01; “***”—p < 0.001; Cochran-Mantel-Haenszel test.
(A) Example PCR showing recombination of a 4kb long transgene into Prnp locus using HR Prnp 3 sgRNA; n.c.–negative control; p.c.–positive control; M—marker ladder. Reverse primer in the top panel anneals to both, WT and MUT sequences, and thereby can discriminate between homozygous and heterozygous knock-in; Clone #8 was confirmed to be homozygous. (B) Cumulative CC9 targeting efficiency assessment of with HR Prnp 3 sgRNA in unmodified V6.5 and V6.5 Prnp(WT/HPRT) cells (containing only one copy of WT Prnp gene). “***”—p < 0.001; Cochran-Mantel-Haenszel test. (C) Fragments of sequencing chromatograms of DNA isolated from founder mice obtained by pronuclear injection of CC9 with HR Prnp 3 sgRNA. DNA sequencing of two out of three founders revealed a shift in electrophoregram corresponding to an in-del in the nuclease target site in one of the alleles. The relevant PAM sequence was shaded in gray.
Although we did not attempt to quantify the total number of clones, experiments with CC9 routinely yields far more colonies than our previous strategy (described at the beginning of this section), enabling us to reduce the overall number of cells needed for selection, typically obtaining many positive clones even when selecting on a single 6-well plate well. For example, instead of selecting for targeted clones on three 10 cm dishes of each electroporation, we now typically select on three 6-well plate wells, each typically yielding more than five positive clones. As the surface area of a 10 cm dish is ~150 cm2 and that for a 6-well plate well is 9 cm2, the shift from using a large number (six to nine) of 10 cm dishes to a small number of 6-well plate wells (three is enough to acquire three independent clones) has resulted in a significant reduction in culturing costs. Moreover, every experiment results in a large number of colonies, most of which are positive, allowing us to be highly selective when picking only morphologically perfect colonies, with high confidence that the gene-targeting attempt will not need to be repeated.
Encouraged by the high HR efficiency in ESCs, we then attempted to use CC9 with HR Prnp 3 to target transgenes of various sizes (3-7kb) into the Prnp locus in WT ES cells. Each clone was tested for correct recombination with two independent PCR assays, spanning 5’ and 3’ homology arms. We consistently obtained HR rates >80% for all clones analyzed (Table 1). In parallel, we attempted to induce HR by direct injection of all components into the pronucleus of fertilized mouse oocytes (PNI). To this end, we used the same homology template used in the initial screen of sgRNAs (4 kb fragment between homology arms). From a single PNI attempt, we obtained only three founder animals, with no homologous recombinants amongst them. Nevertheless, PCR sequencing of the CC9 target site revealed in-dels in two out of three founder lines, indicating CC9 with HR Prnp 3 is highly efficient in vivo (Fig 3C).
Identification of CC9-based SAMs that activate Prnp
In addition to its powerful ability to modify genomic sequences, the CC9 system can also be employed to induce [49,55] or repress [55,56] gene expression. Multiple strategies have been successfully demonstrated but they all share the features of using a Cas9 derivative with the nuclease activity inactivated (dead Cas9 or dCas9) and further modified to recruit transcriptional transactivation components, such as through inclusion of the very robust VP64 transactivation domain (Fig 1). Importantly, the dCas9-VP64 fusion protein is directed to specific genomic locations with sgRNAs, just like for experiments with nuclease active Cas9. In the system we employed, the guide RNAs also included an extra pair of stem loops that recruit an additional transactivation driving fusion protein, MS2-p65-HSF. To determine if we could boost mouse Prnp expression with this system, we designed nine sgRNA spacers targeting various regions upstream of the Prnp transcription start site (TSS) (Fig 4A), with the aid of an online SAM sgRNA specificity prediction tool (http://sam.genome-engineering.org/database/) and sgRNA scoring algorithm , http://www.broadinstitute.org/rnai/public/analysis-tools/sgrna-design-v1). Sequences and scores of individual guides used in this study are included in S3 Table. Since ESCs divide ~ three times per day, we used a murine N2a neuroblastoma cell line since they divide far less frequently and will allow for the CC9 components to be expressed and then potentially regulate Prnp. N2A cells were transfected with combinations of vectors encoding 1) dCas9-VP64 fusion, 2) MS2–p65–HSF1 fusion protein and 3) sgRNA2.0 backbone containing MS2 stem loops and test gRNA spacers (Fig 4B) . Components 1 and 2 also contained an EGFP reporter, enabling us to enrich for transfected cells by FACS (S1 Fig). While all tested sgRNAs led to an increase in PrP RNA levels, as determined by sqRT-PCR, sgRNAs #1 and #2 provided the greatest enhancement (Fig 4C). These two guides were further evaluated in three additional transfection experiments, inducing an average fold increase in expression of 9.0±1.4 for Prnp SAM 1 and 10.56±0.65 for Prnp SAM 2, but no increase was observed if the sgRNA was omitted (0.97±0.07, Fig 5A). Increased levels of PrP were detected on immunoblots indicating the extra mRNAs were functional (Fig 5B).
(A) Relative positions of SAM sgRNA spacers with respect to the Prnp promoter region. Binding sites for AP1 and AP2 transcription factors were highlighted. (B) Schematic of the experimental workflow for SAM sgRNA evaluation. (C) Preliminary screening of SAM guides; sqRT PCR histogram shows increases in PrP protein levels for each individual SAM sgRNA tested, normalized to untransfected control levels (set to 1); assays #1 and #2 refer to independent primer pairs directed (respectively) to 5’- and 3’-proximal region of PrP mRNA.
(A) sqRT PCR evaluation of Prnp SAM 1 and 2; “*”—p<0.001; Kruskal-Wallis test. (B) Immunoblot (SAF83) assessment of PrP levels after SAM activation using sgRNAs #1 and #2. (C) FACS of N2a cells transfected with Prnp-directed SAMs; histograms shows increased mean fluorescence intensity (MFI) corresponding to cell surface PrP (SAF83) on cells transfected with Prnp SAM 1 and 2 (dotted and solid line, respectively) as compared with MFI of “no_sgRNA2.0” control (in grey). (D) Immunostaining of N2a cells transfected with Prnp-directed SAMs; PrP levels on cells transfected with functional SAMs were increased as compared to untransfected (EGFP negative) cells in the same FOV. In case of “no sgRNA2.0” control, no differences between transfected and untransfected cells with respect to PrP staining were observed.
Stimulation of Prnp with CC9 SAMs leads to overexpression of extracellular membrane-anchored PrP
PrPc functions in health and disease depend on its correct localization in the membrane, attached to the outside surface by a GPI-anchor [7,58]. We therefore performed extracellular antibody labeling experiments, followed by FACS and immunocytochemistry (ICC) analyses, to determine if boosting PrP levels with SAMs leads to overproduction of correctly localized PrP. FACS analysis showed higher mean fluorescent intensity (MFI) for cells transfected with functional SAMs compared to cells transfected similarly but without the sgRNA, indicating that CC9 induced Prnp transactivation leads to increased levels of extracellular PrP (Fig 5C). Similarly, ICC experiments revealed increased extracellular PrP levels on cells transfected with functional SAMs compared to untransfected (EGFP negative) cells in the same field of view. In contrast, PrP staining in cells treated with a transfection mix lacking sgRNA appeared identical to that in non-transfected cells (Fig 5D), again indicating the increased Prnp activity directed by CC9 transactivation lead to increased amounts of properly localized PrP.
Pathological conformers of PrP cause a wide range of fatal and infectious neurodegenerative diseases known as transmissible spongiform encephalopathies (TSEs). Although the infectious component of these diseases are unusual in that the transmissible agent primarily consists of protein (hypothesized to lack disease encoding nucleic acids), their neurodegenerative component resembles more common neurodegenerative diseases, like AD or PD [59,60]. This makes modeling TSEs in biological systems invaluable for studying neurodegenerative processes, especially as different perturbations to the same protein can diverge into profoundly different pathologies . For example, two of the most common mutations linked to familial prion diseases caused by single codon substitutions in Prnp, E200K and D178N, cause Creutzfeldt-Jakob disease (CJD) and fatal familial insomnia (FFI). The E200K variant primarily targets the neocortex and thus primarily causes a cognitive disease, whereas the D178N variant primarily targets the thalamus and disrupts sleep homeostasis and autonomic nervous system functions [21,22]. Such selective vulnerability of neurodegenerative diseases is by no means an exclusive characteristic of TSEs [21,61]. Indeed, in Alzheimer’s disease hippocampal and entorhinal cortical areas are primarily targeted, in Huntington’s disease the striatum is most severely affected, and in Parkinson’s disease the substantia nigra in the midbrain is notoriously damaged. Identifying the specific factors enabling different mutants of PrP (a protein ubiquitously expressed in CNS ) to target different brain regions and cause different diseases might improve our understanding of general mechanisms of more common neurodegenerative diseases. However, experiments of mouse models of familial PrDs show that, not only the mutations themselves, but also the genomic context of the transgene profoundly affects the disease phenotype . For example, the mutation causing FFI does not always cause a neurodegenerative phenotype when expressed as a RIT, even when the gene product is present several fold higher than when expressed from the endogenous Prnp locus, a context in which the mutant gene is toxic [29,32]. A recently proposed but widely cited hypothesis postulates that miRNA levels can be modified by changes in their RNA targets [34,62,63]. The change in a miRNA's level in turn influences the levels of its other target RNAs, creating a complex gene regulatory system referred to as competing endogenous RNAs. It is conceivable that ectopically expressing Prnp derived transgenes containing Prnp derived regulatory elements will affect the expression of other genes sharing the interactome (e.g. miRNA binding sites) of these regions via a competing endogenous RNA mechanism. In this case the mouse phenotype would be influenced by destabilization of gene regulatory mechanisms, in addition to the protein-encoding component of the transgene.
The subtle (yet crucial for the disease) differences between Prnp knock-in and PrP RIT mice are likely to increase the demand for more precise Prnp knock-in models, and the tools for manipulating Prnp in vivo. With its versatility and ease of use, the CC9 system is a good choice, and was previously used to generate Prnp knockout cells, using a sgRNA targeting nucleotide 105 of the ORF . A site close to the translation start site was targeted to prevent expression of potentially toxic truncated variants and assure a complete knockout. In our approach, we used CC9 to stimulate HR in Prnp to improve gene-targeting efficiency to create knock-ins. We searched guide sequences targeting the endogenous ORF that differed from the ORF in our targeting constructs (containing PrP coding sequences from species other than mouse) to avoid cleaving the homology templates used. We do not underestimate the importance of designing guides that are unlikely to target unintended sites. Fortunately, when generating gene-targeted mice nearly all such mutations can be breed away by crossings with wild-type mice. It is always a good idea, even when using conventional gene-targeting strategies, to breed new lines to wild-type mice for multiple generations to reduce (if not eliminate) spontaneous mutations acquired in culture. Therefore, doing so for ESCs exposed to CC9 does not equate to an extra burden of work.
We also found it very straightforward to employ SAM variants of CC9 to induce activity of native Prnp, with all of its regulatory elements, introns, and untranslated regions intact. In contrast to our sequence manipulation experiments, our Prnp activation experiments targeted regions upstream of the translation start site, showing the most distal guides to be most efficient (Fig 4). These were located upstream of AP1/AP2 transcription factor binding sites, which are likely critical elements of the Prnp promoter region .
The common feature of all CC9-related methods is that their specificity and efficiency depend on the sgRNA, ideally leading the Cas9 complex specifically to the intended target. Thus, individual sgRNAs differ in their performance. Despite continuous advances in design and quality control [66,67], the incomplete predictability of the CC9 system enforces two important points: i) restrictive consideration of off-target effects in individual experiments and ii) laborious quality control procedures . Here, we observed variable performance of guide RNAs, despite using design tools [57,69]. Therefore, screening of multiple guides for a particular application may improve the likelihood of the successful application of the various CC9 techniques. For experiments where off target effects need to be ruled out but for which off target changes can not be bred away (e.g. in SAM experiments), employing multiple guides targeting non-overlapping sites will assure the effects observed are not due to off target artifacts, analogous to how many RNAi experiments are currently performed. Noteworthy, at the time of writing this manuscript a novel Cas9—Cas9 High Fidelity (HF)—mutant was described , reported to have comparable efficiency, but much reduced off-target activity compared to its predecessor.
Until recently, the efficiency of HR in Prnp was a major bottleneck for generating knock-in mouse lines. Surprisingly, in our hands, CC9 stimulated HR of transgenes specifically into the Prnp locus at levels exceeding that of random integration. Therefore, applying CC9 methods in cell culture experiments employing stable transfections will likely be more efficient than conventional random integration methods, with the added benefit that each variant will be targeted to the same locus. This will also facilitate the generation of Prnp knock-in mouse models by direct injection or electroporation of the CC9 components into fertilized oocytes [48,71], thereby bypassing the ESC culturing step, reducing costs, time and the stress when ESCs fail to contribute to the germ-line of chimeras. Although our PNI attempts to replace a nearly 1 kb segment of DNA with a completely different 1 kb sequence did not produce homologous recombinants, at the time very few such attempts of inducing HR of such large transgenes had been reported, limited to those inserting short reporters or tags [72,73]. Moreover, we obtained only three founder animals–a small number compared to what was screened in other studies. Nonetheless, sequencing of Prnp from the founders revealed that two out of three contained an in-del in this region (near nucleotide 610 of the ORF), which confirmed that the CC9 system is also highly efficient at targeting Prnp in vivo (Fig 3C). It is conceivable that we would also produce homologous recombinants if we screened more founder mice. Nonetheless, using HR Prnp 3 sgRNA presented here, we have successfully generated more then ten Prnp knock-in ESC lines, each with multiple clones. Five of these clones were used for blastocyst injection, giving rise to knock-in mouse lines and making further zygote injections redundant. Noteworthy, our HR Prnp 3 guide targets codon 204 in close proximity of the critical codons 199 and 209 (200 and 210 in human sequence), making it potentially useful to generate CJD-related mutations (E200K, V210I) using short oligonucleotides as HR templates.
In spite of the unpredictable expression patterns of RITs, they are very useful when higher than normal expression levels are desired. This proved invaluable for studying the effects of mutations on prion replication in vivo and for accelerating the disease phenotypes in prion infection [43,74–77]. The benefits also include significantly shorter experiment time and reduced costs related to mouse caging. However, uncontrolled overexpression, especially for transgenes driven by artificial promoters, can lead to unintended problems. A startling high proportion of proteins expressed at natural levels fail to pass endogenous quality control mechanisms . This is especially problematic for PrP and other neurodegenerative disease related proteins due to their intrinsic tendency for aggregation. When ectopically expressed in cell types poorly equipped to process them, this would likely burden intrinsic protein quality control and degradation systems in an unnatural way, one not experienced in human disease.
As an alternative we propose amplification of endogenous Prnp gene expression using targeted transcriptional activators, such as SAMs . This is not trivial, as membrane anchoring of PrP is preceded by several energetically expensive post-translational modifications, that include cleavage of the N-terminal endoplasmic reticulum targeting signal peptide, addition and maturation of two independent oligosaccharide chains, formation of a disulphide bridge, and attachment of the GPI membrane anchor . It is conceivable that abnormally high expression of a protein (where it would normally be absent or present at much lower levels) will result in these mechanisms being inefficient, and for inadequately processed PrP be retained in the ER or targeted for degradation. However, our results suggest that a significant amount of PrP overexpressed upon stimulation with SAMs is membrane localized. We did not test the SAM approach in cell types other than N2a, and therefore cannot rule out the possibility that the ability of the cells to correctly process overexpressed PrP is cell type-dependent. Nonetheless, in contrast to ectopic overexpression systems, or RITs, our system is likely to be more predictable and easy to test and fine-tune (e.g. by titrating the amounts of donor vectors) before embarking on in vivo experiments.
In combination with currently available nucleic acids delivery methods (improved virus-based systems, in vivo electroporation) an approach involving SAMs may combine the advantages of knock-ins (proper spatial expression pattern) with the main experimental advantage of RITs, allowing one to boost PrP levels in a specific cell type and time (determined by employing appropriate promoters and the delivery time of the vectors). For mouse experiments, it would accelerate disease progression and thereby shorten experimental read-out time. For cell culture experiments, it should increase the efficiency of in cyto prion infections, as well as exacerbate the effects of prion protein in cell culture studies [80–82] and in organotypic slice paradigms [83–85]. SAM sgRNA2.0 vectors that we describe here (the plasmids for episomal expression and lentiviral transduction encoding the relevant sgRNAs are available from Addgene) might serve as a starting point for such experiments, and validated guide sequences may provide a foundation for generating CC9-based PrP activators for other applications. The CC9 system is a very powerful, and yet easy to implement, platform that we hope will be widely adopted in the prion disease field.
S1 Fig. FACS sorting of N2a cells.
S1 Table. Primer sequences used for genotyping ES cell clones.
S2 Table. CC9 guide sequences used to stimulate HR in Prnp locus.
S3 Table. CC9 guide sequences used to generate SAM sgRNAs for activating Prnp gene.
S4 Table. Gene targeting experiments and SAM screening–raw data.
We thank Sybille Krauss and Dan Ehninger for critical comments, Sonja Assenmacher and Patrick Jankowski for oocyte injections, Alessandro Petese for technical assistance in genotyping and Peter Wurst for FACS sorting. Molecular cloning of CC9 vectors was performed by two talented BSc students, Izabela Porębska and Matyas Abel Tsegaye. Plasmid pFNF containing neomycin resistance cassette was a gift from Robert Benezra (Addgene plasmid #22687). All CC9 vector backbones (Addgene plasmids #61422, #61423, #61424, #42230, #62988) were gifts from Feng Zhang. Some elements of the figures were sourced from Servier Medical Art (www.servier.com) for which we are appreciative.
Conceived and designed the experiments: LK WSJ. Performed the experiments: LK YM BZ WSJ. Analyzed the data: LK WSJ. Contributed reagents/materials/analysis tools: BZ WSJ. Wrote the paper: LK WSJ.
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