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A High-Throughput Small Molecule Screen for C. elegans Linker Cell Death Inhibitors


Programmed cell death is a ubiquitous process in metazoan development. Apoptosis, one cell death form, has been studied extensively. However, mutations inactivating key mammalian apoptosis regulators do not block most developmental cell culling, suggesting that other cell death pathways are likely important. Recent work in the nematode Caenorhabditis elegans identified a non-apoptotic cell death form mediating the demise of the male-specific linker cell. This cell death process (LCD, linker cell-type death) is morphologically conserved, and its molecular effectors also mediate axon degeneration in mammals and Drosophila. To develop reagents to manipulate LCD, we established a simple high-throughput screening protocol for interrogating the effects of small molecules on C. elegans linker cell death in vivo. From 23,797 compounds assayed, 11 reproducibly block linker cell death onset. Of these, five induce animal lethality, and six promote a reversible developmental delay. These results provide proof-of principle validation of our screening protocol, demonstrate that developmental progression is required for linker cell death, and suggest that larger scale screens may identify LCD-specific small-molecule regulators that target the LCD execution machinery.


Programmed cell death is an active process that controls cell numbers, eliminates damaged or mutated cells, and contributes to tissue morphogenesis during development. Apoptosis, a well-studied cell death process, is conserved in all animals examined, and is mediated by caspase proteases [1]. Despite its prevalence, apoptosis may not account for a substantial portion of developmental cell elimination. Indeed, mice lacking caspase-3, caspase-9, Apaf-1, or Bax and Bak, key apoptosis regulators, develop to adulthood [24]; a puzzling observation given the large number of cells that normally die during murine embryogenesis [5]. Thus, another, caspase-independent, non-apoptotic cell death pathway may also mediate developmental cell death.

The nematode Caenorhabditis elegans has proven a useful model for mechanistic studies of cell death. Over the course of C. elegans development, 131 of 1090 somatic cells generated in the hermaphrodite die, and 147 of 1178 somatic cells generated in the male are eliminated [6,7]. Most of these cell death events are caspase-mediated, and occur within 30 minutes of precursor cell division [810]. Furthermore, most dying cells in C. elegans are undifferentiated.

The male-specific linker cell is unique among cells fated to die as it persists for far longer before cell death onset (~30 hours), and dies as a well-differentiated cell. The linker cell leads the developing gonad as it migrates from its initial position in the midbody, at the second larval (L2) stage, to the posterior cloacal region in L4 animals. At the L4-to-adult transition, the linker cell dies using a genetic program independent of all known apoptosis genes [11]. A genetic network promoting linker cell death has recently been described in which three parallel pathways, a Wnt pathway, a MAPKK pathway, and a developmental timing pathway, converge on the stress-responsive HSF-1 transcription factor, acting in a stress-independent mode, to initiate cell death. HSF-1 is required for expression of ubiquitin proteasome system components that promote cell death through an E3 ubiquitin ligase complex likely composed of CUL-3/Cullin3, RBX1, BTBD-2, and SIAH-1, all conserved proteins [1113].

Several observations support the notion that the linker cell employs a destruction program conserved from C. elegans to vertebrates, which we have termed LCD (linker cell-type death). First, cell death with similar ultrastructure, including nuclear crenellation, swelling of endoplasmic reticulum and mitochnodria, and lack of chromatin condensation, is common during embryonic vertebrate development and is characteristic of neuronal degeneration in mouse models and human patients with polyglutamine and other neurodegenerative diseases [1417]. Second, the self-aggregating C. elegans glutamine-rich protein PQN-41C is required for LCD, reminiscent of aggregation of abnormal glutamine-rich repeat proteins that promote neurodegeneration in a variety of human diseases (e.g. Huntington’s disease) [12,16,18]. Third, severing of neuronal axons in the mouse leads to cell soma degeneration accompanied by crenellated nuclei [19], as well as distal process degeneration. The latter requires the kinase regulator, Sarm, whose C. elegans homolog, TIR-1, is a component of the MAPKK pathway promoting LCD [12,20]. Fourth, the MAPKK SEK-1 and its associated protein TIR-1/Sarm are required for human TDP-43/FUS-induced motor neuron degeneration in C. elegans [21].

To develop tools for manipulating LCD, we sought to identify small molecule inhibitors of this process. Such molecules could be used in C. elegans to study the LCD pathway, and may also serve as tools for labeling and controlling LCD in other animals. To this end, we developed a screening protocol for identifying compounds that affect C. elegans linker cell death in vivo. This has the advantage of avoiding some false positives that emerge from cell culture assays [22,23], such as molecules that have undesired effects on organism viability and/or development. The ease with which C. elegans can be cultured, and the low cost of such cultures allows large-scale chemical screens to be performed efficiently [22]. Indeed, some antifungal [24,25] and antibacterial [26,27] compounds have been identified using C. elegans viability as an assay readout [28]. Inhibitors and activators of signaling pathways have also been identified using C. elegans by measuring pathway output using genetically encoded fluorescent reporters [2931].

Here, we describe our protocol for identifying LCD inhibitors, and provide proof-of-principle validation of the approach. From a screen of 23,797 compounds we identified 11 small molecules that block linker cell death progression. 5 of these promote animal lethality, and 6 result in a reversible developmental arrest. These results validate our pipeline, demonstrate that developmental progression is required for linker cell death, and suggest that larger scale screens using our method may identify LCD-specific regulators.

Materials and Methods

Strains and Media

C. elegans strains were cultured using standard methods [32]. The tra-2(ar221) II; xol-1(y9) nsIs65[mig-24p::Venus] X double mutant was cultured at 15°C [33]. Follow-up experiments were performed using him-5(e1490) qIs56[lag-2p::GFP] V animals where indicated [11,34,35]. Strains were provided by the Caenorhabditis Genetics Center.

Screening Assay

tra-2(ar221); xol-1(y9) nsIs65 animals were synchronized by bleaching gravid hermaphrodites and allowing the eggs to hatch in M9 buffer overnight at 20°C. Synchronized L1 larvae were plated on 9-cm nematode growth medium (NGM) plates with OP50 E. coli and grown at 25°C for 32 hours. Animals were then washed off the NGM plates with S Basal medium, washed twice more in S Basal, and then resuspended in S Basal. 25 μl of worm suspension was dispensed into each well of clear-bottom 384-well plates (Greiner) containing test compounds in 10 μl of S Basal, using a MultiDrop Combi Plate Filler, after which a gas-permeable cover (Excel Scientific) was used to seal the plates. The final concentration of test compounds was 10 μM in 35 μl total volume. For all screens, 0.3% dimethyl sulfoxide (DMSO) was used in negative control wells. For all screens other than the initial pilot screen, 3.78 μM Tyrphostin A9 (Sigma) was used in positive control wells. The final concentration of animals in the screening wells was approximately 5 worms/μl. Animals were incubated in screening plates at 25°C for 12 hours, after which the anesthetic levamisole (Acros Organics) was added to each well, for a final concentration of 1 mM, to immobilize the animals for imaging. The plates were scanned on an ImageXpress Velos Laser Scanning Cytometer (Molecular Devices) using a 488 nm excitation wavelength, and fluorescent linker cells were counted using MetaXpress Software (Molecular Devices).

The pilot screen was conducted using the Library of Pharmacologically Active Compounds (LOPAC) library (Sigma) of 1,280 compounds. The Pan Assay Interference Compounds (PAINS) library, consisting of compounds from various sources, was used to test the robustness of the assay against promiscuous compounds. The primary screen used 23,797 compounds from various libraries, including natural products, off-patent drugs, and active pharmacophores purchased from vendors listed in Table 1.

Z-factor calculations

To measure assay quality, positive and negative control data were used to calculate Z-Factors for each screening plate using the equation Z-Factor = 1-3(σpn)/(μpn), where σ is the standard deviation, μ is the mean, p is the positive control, and n is the negative control [36].

Hit Analysis

Compounds that showed >40% inhibition in the primary screen were selected for visual inspection. Raw visual data from these wells was viewed in ImageXpress and characterized as either “clean” or “false positive”. False positives were primarily wells in which the compound was insoluble and autofluorescent, or wells in which the animals themselves were autofluorescent. Compounds that passed this test were rescreened by manual counting of fluorescent linker cells. The manual counting procedure was identical to the initial screening procedure until the final stage, in which animals were manually pipetted out of the wells onto agar plates and examined under a fluorescent dissecting microscope (Leica) instead of scanning on the Velos instrument. Compounds that showed higher percentages of linker cells than the negative control in this assay were ordered from commercial sources and tested in various assays.

For experiments on agar plates, 200 μl of compound mixture at the appropriate concentration was added to the surface of solid NGM agar and spread with a cell-spreader. Final compound concentration for these assays was calculated using the volume of agar, assuming free diffusion of compound through the agar. Observation of compounds that were colored indicated that this assumption was reasonable.

Phenotypic Analysis

To measure compound toxicity, animals were grown to the L4 stage and exposed to compounds as described above. After 12 hours, animals were scored for viability by assessing locomotion and observing pharyngeal pumping. For compounds displaying significant toxicity over the negative control, serial dilution was used to identify the LD50. LD50 values were calculated using Graphpad Prism software.

To measure developmental delay, animals grown and exposed to compounds as described above were viewed under a compound microscope (Leica) and scored for tail development and linker cell survival. Tails were scored as adult if they had shed the L4 cuticle and showed tail ray and fan development.


The screening strain and its linker cell death dynamics

To identify small molecules that block linker cell death, we sought to incubate C. elegans larvae with compounds and identify those that result in a persisting linker cell. We first developed a C. elegans strain exhibiting a high proportion of males, and in which the linker cell is labeled with a strong fluorescent reporter. Previous studies demonstrated that a mig-24p::Venus fluorescent reporter transgene is specifically expressed in the male linker cell and in the two hermaphrodite distal tip cells [37]. We introduced this transgene into tra-2(ar221); xol-1(y9) double mutants, which were reported to develop as XX hermaphrodites at 15°C, and as XX males at 25°C [33]. We found that 94% of animals grown at 15°C possess two fluorescent distal tip cells, suggesting a nearly pure hermaphrodite population; while 96% of animals generated from adult hermaphrodites shifted to 25°C exhibit a single fluorescent linker cell, indicating a nearly pure male population (Fig 1A). Similarly, 95% of embryos grown at 15°C, synchronized at the L1 stage, and then shifted to 25°C appear morphologically male, and have a single fluorescent linker cell (Fig 1A and 1D). Thus, the tra-2(ar221); xol-1(y9) mig-24p::Venus strain is suitable for our screen.

Fig 1. Characteristics of the tra-2(ar221);xol-1(y9) mig-24p::Venus screening strain.

(A) Percentage of animals with either a single fluorescent linker cell, two fluorescent distal tip cells, or a combination of fluorescent linker and distal tip cells is shown for three growth conditions. For the 15°C and 25°C conditions, gravid adults were placed at the indicated temperature and their progeny scored at the L4 stage. For the assay protocol condition, gravid adults were bleached and their eggs allowed to hatch in M9 overnight at 20°C. Synchronized L1s were then grown at 25°C and scored at the L4 stage. (B) Comparison of linker cell survival in screening strain and standard linker cell death scoring strain. Animals were grown at 25°C and scored for linker cell survival 2–4 hours after the L4-adult transition [12] (C) Percentage of linker cells remaining in tra-2(ar221);xol-1(y9) mig-24p::Venus animals over time after an initial growth period of 32 hours on agar plates with food, washing in S Basal, and a change to new growth conditions for 12 additional hours. X-axis numbers indicate hours after media change (no parentheses) and total hours after L1-arrest (parentheses). (D, E) tra-2(ar221);xol-1(y9) mig-24p::Venus in migrating (D) and dying (E) linker cells. Arrowheads, linker cell.

To determine when animals should be incubated with compounds, we tracked linker cell death in synchronized tra-2(ar221); xol-1(y9) mig-24p::Venus animals. At 25°C, all synchronized L1 animals, grown on agar plates seeded with OP50 E. coli for 32 hours, develop to the mid-late L4 stage, and all possess a living linker cell that is migrating towards the cloaca (Fig 1C and 1D). These animals develop to adulthood over the subsequent 12 hours, during which most linker cells die (Fig 1B, 1C and 1E). Some of these dead linker cells are not eliminated by the time of scoring in the standard assay, but can be classified as dead based on morphology, independent of the fact that they express GFP [11]. Development and linker cell death proceed at this stage even when OP50 E. coli is excluded from the liquid medium (Fig 1C). Using linear regression, we analyzed the rate at which linker cells disappear as the population of animals ages into adulthood, and determined that the rates were not significantly different between agar plates with food and liquid medium with or without food (Slopes -9.2 +/- 0.31, -8.6 +/- 0.38, -8.6 +/- 0.34; p>0.37). These results demonstrate that addition of compounds to tra-2(ar221); xol-1(y9) mig-24p::Venus animals at 32 hours post-L1 for 12 hours should allow effects on linker cell death to be revealed.

Pilot screen design and execution

Guided by these initial studies, we pursued a pilot screen (see Materials and Methods for details). tra-2(ar221); xol-1(y9) mig-24p::Venus animals, synchronized at the L1 stage, were grown on NGM plates seeded with OP50 E. coli for 32 hours at 25°C (Fig 2A). Animals, most of which were phenotypically male, were then washed off the plates and 25 μl of the suspension was added to each well of a 384-well plate containing 10 μl of assay compound. Animals were incubated with the test compounds at 10 μM for 12 hours at 25°C without mixing, and then anesthetized with levamisole to prevent their motion and to allow them to settle to the bottom of the wells. As in other studies [28,30,31,38,39], micromolar compound concentrations were used, because the C. elegans cuticle acts as a barrier for small molecule access, requiring high concentrations to elicit effects [40,41]. Each plate was then scanned on a cytometer, which counts fluorescent spots, which in our case represented mostly Venus-expressing linker cells (Fig 2B and 2C; S1 Fig).

Fig 2. Screening pipeline.

(A) Assay workflow: male tra-2;xol-1 mig-24p::Venus animals grown on agar plates with OP50 at 25°C for 32 hours are resuspended in S-Basal medium and transferred to plates with screening compounds in most wells (grey squares), positive (blue) and negative (red) controls. Plates are incubated for 12 hours and scanned using a fluorescence cytometer. (B) Image of Tyrphostin A9-treated well. (C) Same as (B), except counted objects marked (yellow). Large debris (red arrow) is not counted by the software, though some smaller fluorescent shapes that are not cells are erroneously labeled as cells (white arrow). “Count” indicates object count output from the MetaXpress software.

We screened, in duplicate, the 1,280-compound LOPAC library from Sigma-Aldrich, which includes small molecules with previously characterized activities (Fig 3A, Table 1). Wells with increased cell counts greater than three standard deviations from the negative-control mean in both duplicates were further examined. As shown in Table 2, several of the wells had raw cell counts vastly greater than the average number of animals per well. Scanner images of these wells revealed two causes for this observation. In some cases, the compounds were not fully soluble, and fluorescing precipitate aggregates were erroneously counted by the software as linker cells (S2A Fig). In other wells, animals exhibited high autofluorescence leading to artificially high linker cell counts (S2B Fig).

Fig 3. Tyrphostin A9 causes linker cell persistence.

(A) Screen of the LOPAC library using Tyrphostin A9 as a positive control. Compounds are plotted with an arbitrary index (X-axis). Percent inhibition (Y-axis) is normalized to negative control and positive control (Tyrphostin A9 treated) counts for each plate screened. The Tyrphostin A9 data point is indicated (arrow). (B) Effects of Tyrphostin A9 on animal viability, development, and linker cell presence are compared to DMSO exposure alone. LC, linker cell. (C) Image of a tra-2(ar221);xol-1(y9) mig-24p::Venus animal, treated with Tyrphostin A9 for 12 hours, showing persistent fluorescent linker cell (arrowhead) and undeveloped tail (arrow). (D) Effect on linker cell persistence after 12 hours of treatment with varying concentrations of Tyrphostin A9. Negative control mean is defined as 0% inhibition and maximum linker cell count in Tyrphostin A9 treated animals is defined as 100% inhibition. The EC50 for Tyrphostin A9 is calculated to be 45.6 nM.

Measuring assay robustness

From the pilot screen, one compound, Tyrphostin A9, resulted in a consistently large increase in the number of fluorescing linker cells, suggesting a possible effect on linker cell death (Table 2). Visual inspection of the Tyrphostin A9 well scans revealed that this effect was not due to issues of solubility or autofluorescence (Fig 2B).

To determine the specificity of Tyrphostin A9 for linker cell death, animals subjected to the screening protocol were recovered from wells prior to cytometry, and examined manually. As shown in Fig 3B, only 5% of animals treated with 10 μM Tyrphostin A9, survived the 12-hour drug incubation period. Animals treated with Tyrphostin A9 also failed to develop adult tail morphology. Nonetheless, linker cells remained strongly fluorescent (Fig 3B and 3C). The effects of Tyrphostin A9 were concentration dependent, with an EC50 for linker cell persistence of 45.6 nM (Fig 3D). At all concentrations, linker cell persistence directly correlated with a block in animal development, suggesting that Tyrphostin A9 either inhibits basic cellular processes required for both C. elegans development and linker cell death, or that blocking C. elegans developmental progression results in linker cell death inhibition.

Although the effects of Tyrphostin A9 are not specific to the execution phase of linker cell death, we could now use this compound as an effective control to measure assay robustness. We rescreened the LOPAC library (Fig 3A), and used multiple Tyrphostin A9 wells to calculate an average Z-factor of 0.37 (Materials and Methods), indicating a good assay dynamic range [36].

We also screened a small library (PAINS) consisting of compounds arising frequently as non-specific hits across a variety of assays [42,43] (Table 1). Only 1.3% of compounds showed >40% inhibition (S3 Fig), similar to the 1.2% of compounds in the LOPAC screen (Fig 3A).

Taken together, these results demonstrate that our assay design is well poised to identify linker cell death inhibitors, and does not have a propensity to identify false-positives.

A larger scale screen identifies developmental control compounds affecting linker cell death

Using our protocol, we next screened 23,797 compounds from multiple small molecule libraries (Fig 4A; Table 2). Z-factor scores for each plate screened revealed reasonably good dynamic range, with a few exceptions (S4 Fig), with an average Z-factor over all plates of 0.4. 40% inhibition, corresponding to an increase in linker cell survival of more than 3 standard deviations over the negative control mean, was used as a cutoff to select compounds for follow up. 202 of the 23,797 (0.8%) compounds were above this threshold.

Fig 4. Primary screen results and attrition in secondary analyses.

(A) Compounds screened ranked by percent inhibition and normalized to negative and positive control values for each plate screened. All screened compounds are depicted except those with normalized inhibition >160% (23/24298 events). Solid line indicates cutoff for additional testing. Dashed lines indicate percent inhibition of negative controls (0%) and positive controls (100%). (B) Secondary screening resulted in 11 compounds that were further examined.

Wells for each of the 202 compounds were visually screened for autofluorescent animals, insoluble aggregates, or both (S2 Fig). The remaining 87 compounds were retested manually by scoring linker cell survival under the microscope. 11 compounds reproducibly showed a significant increase in persistent linker cells over the negative control (Table 3).

Table 3. Compounds reproducibly resulting in persistent linker cells.

These 11 compounds (Fig 5) were obtained from commercial sources, and their effects were characterized in greater detail (Table 3). We found that 5/11 compounds inhibited animal locomotion and pharyngeal pumping, and many of these animals arrested as L4 larvae and did not develop to adulthood. The effects of these compounds were not reversible. For three of these five compounds, Leflunomide, EN5065, and EN1918, enough animals survived treatment, allowing us to score adults for linker cell death defects (Fig 6A). None of these compounds elicited linker cell or linker cell corpse persistence in adult animals compared to controls. Thus, it is likely that the effects of these compounds on linker cell death are related to their overall effects on animal toxicity. Consistent with this notion, serial dilution of these compounds reduced toxicity, and this strongly correlated with a reduction in linker cell persistence (Fig 6A and 6C).

Fig 5. Compound Structures.

Chemical structures of compounds identified from pilot screen (A, B) and primary screen (B-M). (A) Tyrphostin A9, (B) Tyrphostin AG 879, (C) CB8776, (D) CB0146, (E) EN9834, (F) EN5065, (G) EN1918, (H) EN7212, (I) Leflunomide, (J) EN2416, (K) CB0736, (L) EN1123.

Fig 6. Effects of compound treatment on viability and development.

(A) Toxicity following 12-hour incubation with Leflunomide (black), EN5065 (blue), or EN1918 (red) on agar plates with OP50 E. coli, starting 32 hours after L1 arrest. Animals classified as dead did not move and exhibited no pharyngeal pumping. Error bars, SD. (B) Toxicity of CB0146 (squares) and Tyrphostin AG 879 (circles) as in (A). LD50 values calculated at 2.8 μM for CB0146 and 260 nM for Tyrphostin AG 879. (C) Surviving LCs scored in animals after 12-hour treatment with Leflunomide (black), EN5065 (blue), or EN1918 (red) across a range of compound concentrations. Error bars, SD. (D) Surviving LCs scored in animals after 12-hour treatment with CB0146 (squares) and Tyrphostin AG 879 (circles) across a range of compound concentrations. Error bars, SD. (E) Effect of compounds on male tail development in liquid assay. Error bars, SD. *, p<0.01, student’s t-test.

The two remaining compounds, Tyrphostin AG 879 and CB0146, were uniformly lethal at 10 μM. We therefore performed serial dilutions to identify the LD50 for each (260 nM and 2.8 μM, respectively; Fig 6B), and used these concentrations to evaluate the linker cell death defects in surviving adults. No effects on linker cell death or clearance were observed (Table 3). Reduction of toxicity by serial dilution also strongly correlated with a reduction in linker cell survival (Fig 6B and 6D)

Six of the 11 compounds we obtained from our screen did not affect animal viability, and did not result in inhibition of locomotion or pharyngeal pumping. A closer examination revealed that all six compounds delayed animal development, such that animals did not progress to adulthood during the drug incubations. Thus, while 88% of negative control animals had adult tail morphology following a 12-hour DMSO incubation, only 38–61% of animals treated with these 6 compounds displayed adult tails, a statistically significant effect (Fig 6E). As our previous work demonstrated that developmental cues are required for linker cell death initiation, the developmental delay caused by these drugs likely accounts for the apparent effects on linker cell death. Importantly, the developmental delay caused by all 6 compounds is reversible, as all animals transferred to drug-free agar plates progress to adulthood. These adults then fail to exhibit linker cell survival.

In summary, we identified six compounds that indirectly inhibit linker cell death, likely by blocking a developmental input into the linker cell death program.


LCD is a novel cell death program that may complement apoptosis during animal development. It functions in development in C. elegans [6,11,44], and at least some of its components are conserved in degenerative processes in mammals [14,15,17,19,20,4548]. Developing reagents for manipulating LCD is therefore an important goal, as these reagents can help determine how broadly LCD is conserved, under what circumstances it might be functional, and perhaps, down the road, for therapeutic intervention. From a practical standpoint, genetic screens for linker cell death mutants are complicated by the fact that recovered mutant males are likely to be sterile, and thus unable to propagate the genetic lesion of interest. Chemical screening can circumvent this difficulty and allow identification of relevant targets. The studies presented here establish a pipeline for identifying small molecules that inhibit LCD. Our studies provide proof-of-concept for this pipeline, and identify six compounds that appear to block LCD in C. elegans by interfering with the progression of larval development.

At least three partially redundant pathways (Wnts, MAPKK, and developmental timing pathways) govern linker cell death initiation in C. elegans. All of these have been implicated in developmental processes. Wnts play key roles in inductive signaling controlling cell fate, in cell migration, and in cellular morphogenesis during development [4954]; the TIR-1/SARM-SEK-1/MAPKK pathway regulates neuronal differentiation, and appears to be required for early embryonic development [55,56]; and LIN-29/Zn-finger and other components of the heterochronic pathway control developmental timing [5759]. Since most of the genes controlling linker cell death are components of these pathways, it is, perhaps, not surprising that the non-lethal compounds we identified have broad effects on developmental progression.

Several reasons may underlie our failure to identify linker cell death inhibitors that specifically block LCD execution. First, we may have not screened enough small molecules, in terms of sheer number or diversity. Second, previous studies demonstrate that key execution components of linker cell death are broadly expressed, and their inhibition or activation may therefore lead to toxicity. Third, while small molecules can be excellent inhibitors of enzyme-mediated catalytic reactions, it is possible that linker cell death is governed by a different biochemistry, such as protein-protein interactions, which has been, with key exceptions, difficult to probe with small molecules [60,61]. Fourth, we screened compounds at high concentrations, to allow penetration of the C. elegans cuticle, and this may have masked compounds that are toxic at high levels, but that exert more specific effects at lower concentrations. Fifth, it is possible that linker cell death is controlled by redundant processes, and therefore blocking any single process, while having some effect, is outside the dynamic range of the assay.

One way to increase the sensitivity of the screen, allowing the use of compounds at lower concentrations, and circumventing redundancy issues, may be to perform the screen in a sensitized background where linker cell death is already somewhat compromised. Indeed, many mutants exist which block linker cell death in only ~20% of animals. Performing a screen in such a background, however, would likely decrease the dynamic range of the assay, and would require further optimization and careful examination of the sources of variability in the assay.

Two compounds we identified, Tyrphostin A9 and Tyrphostin AG879, have well-characterized biological targets, including tyrosine kinases. Whether such proteins are relevant for linker cell death initiation is not known; however, it is intriguing to note that a role for the MAPKK SEK-1 in linker cell death is known, and SEK-1 affects broad developmental programs [12,55,56]. The upstream kinases for SEK-1 are known during neuronal differentiation, and are not tyrosine kinases. However, none of these upstream regulators control linker cell death, leaving the possibility open that this class of kinases is involved.

Finally, although Tyrphostin A9 and the other compounds we identified do not affect LCD specifically, the toxicity and developmental delay effects of these compounds raise the possibility that they could be used as anthelminths. Nematodes account for a number of human ailments, and are costly agricultural pests. Identification of cheap small molecules that can be used to control nematode growth may therefore be of significance. While the toxicity to humans and other mammals of most of the compounds we identified is unknown, Leflunomide is a pyrimidine synthesis inhibitor used in the treatment of Rheumatoid Arthritis and Psoriatic Arthritis [62]. None of the other compounds we identified have known biological targets, making it difficult to speculate on their potential toxicity to other animals, including humans. More work will be required to determine which of these compounds, if any, show promise for use either in treating human disease or as agricultural pesticides.

Supporting Information

S1 Fig. Scanner image of negative control well.

Scanner image of a DMSO-treated well showing few remaining linker cells.


S2 Fig. Scanner images of false positive wells.

In these cases, the cytometer software reported a high cell count from software (Count), however, most of the objects recognized (yellow outlines) are not linker cells. (A) Well in which software recognized fluorescent objects not associated with animals, which are likely compound aggregates. (B) Well in which software counted objects that are not round linker cells, likely a result of animal autofluorescence interfering with the counting system.


S3 Fig. Testing assay on the PAINS library.

Linker cell death inhibition scores for 1056 compounds in the PAINS library of promiscuous compounds, ranked by percent inhibition normalized to negative and positive controls.


S4 Fig. Z-factors of screen plates.

Z-factors were calculated for each 384-well plate used in the main screen using positive and negative controls values from columns 23 (negative) and 24 (positive). Dashed line at 0.4 marks the average Z-factor over all 70 tested plates.



We thank the members of the Shaham lab for discussions and comments, and Fraser Glickman, Antonio Luz and the staff of the Rockefeller University High-Throughput Screening Resource Center for advice, technical expertise, and support. This work was supported by NIH grants HD078703 and NS081490 to S.S.

Author Contributions

  1. Conceptualization: SS AS.
  2. Formal analysis: AS SS.
  3. Funding acquisition: SS.
  4. Investigation: AS.
  5. Methodology: AS SS.
  6. Project administration: SS.
  7. Resources: SS.
  8. Supervision: SS.
  9. Validation: SS.
  10. Visualization: AS SS.
  11. Writing – original draft: AS SS.
  12. Writing – review & editing: AS SS.


  1. 1. Fuchs Y, Steller H (2011) Programmed Cell Death in Animal Development and Disease. Cell 147: 742–758. pmid:22078876
  2. 2. Honarpour N, Du C, Richardson J, Hammer R (2000) Adult Apaf-1-deficient mice exhibit male infertility. Developmental Biology 218: 248–258. pmid:10656767
  3. 3. Oppenheim R, Flavell R, Vinsant S (2001) Programmed cell death of developing mammalian neurons after genetic deletion of caspases. Journal of Neuroscience 21: 4752–4760. pmid:11425902
  4. 4. Lindsten T, Ross A, King A, Zong W, Rathmell J (2000) The combined functions of proapoptotic Bcl-2 family members bak and bax are essential for normal development of multiple tissues. Molecular Cell. pmid:11163212
  5. 5. Yamamoto Y, Henderson CE (1999) Patterns of programmed cell death in populations of developing spinal motoneurons in chicken, mouse, and rat. Dev Biol 214: 60–71. pmid:10491257
  6. 6. Kimble J, Hirsh D (1979) The postembryonic cell lineages of the hermaphrodite and male gonads in Caenorhabditis elegans. Developmental biology 70: 396–417. pmid:478167
  7. 7. Sulston J, Schierenberg E, White J, Thomson J (1983) The embryonic cell lineage of the nematode Caenorhabditis elegans. Developmental biology 100: 64–119. pmid:6684600
  8. 8. Maurer CW, Chiorazzi M, Shaham S (2007) Timing of the onset of a developmental cell death is controlled by transcriptional induction of the C. elegans ced-3 caspase-encoding gene. Development (Cambridge, England) 134: 1357–1368. pmid:17329362
  9. 9. Peden E, Kimberly E, Gengyo-Ando K, Mitani S, Xue D (2007) Control of sex-specific apoptosis in C. elegans by the BarH homeodomain protein CEH-30 and the transcriptional repressor UNC-37/Groucho. Genes & Development 21: 3195–3207. pmid:18056429
  10. 10. Nehme R, Grote P, Tomasi T, Löser S, Holzkamp H, Schnabel R, et al. (2010) Transcriptional upregulation of both egl-1 BH3-only and ced-3 caspase is required for the death of the male-specific CEM neurons. Cell Death & Differentiation 17: 1266–1276. pmid:20150917
  11. 11. Abraham MC, Lu Y, Shaham S (2007) A morphologically conserved nonapoptotic program promotes linker cell death in Caenorhabditis elegans. Developmental cell 12: 73–86. pmid:17199042
  12. 12. Blum ES, Abraham MC, Yoshimura S, Lu Y, Shaham S (2012) Control of nonapoptotic developmental cell death in Caenorhabditis elegans by a polyglutamine-repeat protein. Science (New York, NY) 335: 970–973. pmid:22363008
  13. 13. Kinet MJ, Malin JA, Abraham MC, Blum ES, Silverman MR, Lu Y., et al. (2016) HSF-1 activates the ubiquitin proteasome system to promote non-apoptotic developmental cell death in C. elegans. Elife 5. pmid:26952214
  14. 14. Pilar G, Landmesser L (1976) Ultrastructural differences during embryonic cell death in normal and peripherally deprived ciliary ganglia. Journal of Cell Biology 68: 339–356. pmid:942724
  15. 15. Chu-Wang I, Oppenheim R (1978) Cell death of motoneurons in the chick embryo spinal cord. I. A light and electron microscopic study of naturally occurring and induced cell loss during development. Journal of Comparative Neurology 177. pmid:618439
  16. 16. Davies SW, Turmaine M, Cozens BA, DiFiglia M, Sharp AH, Ross CA, et al. (1997) Formation of neuronal intranuclear inclusions underlies the neurological dysfunction in mice transgenic for the HD mutation. Cell 90: 537–548. pmid:9267033
  17. 17. Zander C, Takahashi J, El Hachimi KH, Fujigasaki H, Albanese V, Lebre AS, et al. (2001) Similarities between spinocerebellar ataxia type 7 (SCA7) cell models and human brain: proteins recruited in inclusions and activation of caspase-3. Human molecular genetics 10: 2569–2579. pmid:11709544
  18. 18. Scherzinger E, Lurz R, Turmaine M, Mangiarini L, Hollenbach B, Hasenbank R, et al. (1997) Huntingtin-encoded polyglutamine expansions form amyloid-like protein aggregates in vitro and in vivo. Cell 90: 549–558. pmid:9267034
  19. 19. Borsello T, Mottier V, Castagné V, Clarke PG (2002) Ultrastructure of retinal ganglion cell death after axotomy in chick embryos. J Comp Neurol 453: 361–371. pmid:12389208
  20. 20. Osterloh JM, Yang J, Rooney TM, Fox NA, Adalbert R, Powell EH, et al. (2012) dSarm/Sarm1 Is Required for Activation of an Injury-Induced Axon Death Pathway. Science 337: 481–484. pmid:22678360
  21. 21. Vérièpe J, Fossouo L, Parker JA (2015) Neurodegeneration in C. elegans models of ALS requires TIR-1/Sarm1 immune pathway activation in neurons. Nat Commun 6: 7319. pmid:26059317
  22. 22. Giacomotto J, Ségalat L (2010) High-throughput screening and small animal models, where are we? British journal of pharmacology 160: 204–216. pmid:20423335
  23. 23. Ségalat L (2007) Invertebrate Animal Models of Diseases as Screening Tools in Drug Discovery. ACS Chemical Biology 2: 231–236. pmid:17455900
  24. 24. Breger J, Fuchs BB, Aperis G, Moy TI, Ausubel FM, Mylonakis E (2007) Antifungal chemical compounds identified using a C. elegans pathogenicity assay. PLoS Pathog 3: e18. pmid:17274686
  25. 25. Okoli I, Coleman JJ, Tampakakis E, An WF, Holson E, Wagner F, et al. (2009) Identification of antifungal compounds active against Candida albicans using an improved high-throughput Caenorhabditis elegans assay. PLoS ONE 4: e7025. pmid:19750012
  26. 26. Moy TI, Conery AL, Larkins-Ford J, Wu G, Mazitschek R, Casadel G, et al. (2009) High-throughput screen for novel antimicrobials using a whole animal infection model. ACS Chem Biol 4: 527–533. pmid:19572548
  27. 27. Conery AL, Larkins-Ford J, Ausubel FM, Kirienko NV (2014) High-throughput screening for novel anti-infectives using a C. elegans pathogenesis model. Curr Protoc Chem Biol 6: 25–37. pmid:24652621
  28. 28. Gosai SJ, Kwak JH, Luke CJ, Long OS, King DE, Kovatch KJ, et al. (2010) Automated high-content live animal drug screening using C. elegans expressing the aggregation prone serpin α1-antitrypsin Z. PLoS ONE 5: e15460. pmid:21103396
  29. 29. Cai Y, Cao X, Aballay A (2014) Whole-animal chemical screen identifies colistin as a new immunomodulator that targets conserved pathways. MBio 5. pmid:25118236
  30. 30. Rauthan M, Pilon M (2015) A chemical screen to identify inducers of the mitochondrial unfolded protein response in C. elegans. Worm 4: e1096490. pmid:27123370
  31. 31. Leung C, Wang Y, Malany S, Deonarine A, Nguyen K, Vasile S, et al. (2013) An ultra high-throughput, whole-animal screen for small molecule modulators of a specific genetic pathway in Caenorhabditis elegans. PloS one 8: e62166. pmid:23637990
  32. 32. Brenner S (1974) The genetics of Caenorhabditis elegans. Genetics 77: 71–94. pmid:4366476
  33. 33. Hodgkin J (2002) Exploring the envelope. Systematic alteration in the sex-determination system of the nematode caenorhabditis elegans. Genetics 162: 767–780. pmid:12399387
  34. 34. Hodgkin J, Horvitz HR, Brenner S (1979) Nondisjunction Mutants of the Nematode CAENORHABDITIS ELEGANS. Genetics 91: 67–94. pmid:17248881
  35. 35. Siegfried KR, Kimble J (2002) POP-1 controls axis formation during early gonadogenesis in C. elegans. Development 129: 443–453. pmid:11807036
  36. 36. Zhang J-H, Chung TD, Oldenburg KR (1999) A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assays. Journal of Biomolecular Screening. pmid:10838414
  37. 37. Tamai KK, Nishiwaki K (2007) bHLH transcription factors regulate organ morphogenesis via activation of an ADAMTS protease in C. elegans. Dev Biol 308: 562–571. pmid:17588558
  38. 38. Burns AR, Kwok TC, Howard A, Houston E, Johanson K, Chan A, et al. (2006) High-throughput screening of small molecules for bioactivity and target identification in Caenorhabditis elegans. Nature Protocols 1: 1906–1914. pmid:17487175
  39. 39. Kwok TC, Ricker N, Fraser R, Chan AW, Burns A, Stanley EF, et al. (2006) A small-molecule screen in C. elegans yields a new calcium channel antagonist. Nature 441: 91–95. pmid:16672971
  40. 40. Page AP, Johnstone IL (2007) The cuticle. WormBook: 1–15.
  41. 41. Carre-Pierrat M, Mariol M-CC, Chambonnier L, Laugraud A, Heskia F, Giacomotto J, et al. (2006) Blocking of striated muscle degeneration by serotonin in C. elegans. J Muscle Res Cell Motil 27: 253–258. pmid:16791712
  42. 42. Baell J, Walters MA (2014) Chemistry: Chemical con artists foil drug discovery. Nature 513: 481–483. pmid:25254460
  43. 43. Baell JB, Holloway GA (2010) New Substructure Filters for Removal of Pan Assay Interference Compounds (PAINS) from Screening Libraries and for Their Exclusion in Bioassays. Journal of Medicinal Chemistry 53: 2719–2740. pmid:20131845
  44. 44. Sulston JE, Horvitz HR (1977) Post-embryonic cell lineages of the nematode, Caenorhabditis elegans. Dev Biol 56: 110–156. pmid:838129
  45. 45. Davies SW, Scherzinger E (1997) Nuclear inclusions in Huntington’s disease. Trends Cell Biol 7: 422.
  46. 46. Bots G, Bruyn G (1981) Neuropathological changes of the nucleus accumbens in Huntington’s chorea. Acta neuropathologica 55: 21–22. pmid:6215820
  47. 47. Friedman MJ, Shah AG, Fang Z-H, Ward EG, Warren ST, Li S, et al. (2007) Polyglutamine domain modulates the TBP-TFIIB interaction: implications for its normal function and neurodegeneration. Nature Neuroscience 10: 1519–1528. pmid:17994014
  48. 48. Takahashi H, Egawa S, Piao Y, Hayashi S, Yamada M, Shimohata T, et al. (2001) Neuronal nuclear alterations in dentatorubral-pallidoluysian atrophy: ultrastructural and morphometric studies of the cerebellar granule cells. Brain research 919: 12–19. pmid:11689158
  49. 49. Callahan CA, Muralidhar MG, Lundgren SE, Scully AL, Thomas JB (1995) Control of neuronal pathway selection by a Drosophila receptor protein-tyrosine kinase family member. Nature 376: 171–174. pmid:7603568
  50. 50. Thomas KR, Capecchi MR (1990) Targeted disruption of the murine int-1 proto-oncogene resulting in severe abnormalities in midbrain and cerebellar development. Nature 346: 847–850. pmid:2202907
  51. 51. McMahon AP, Moon RT (1989) Ectopic expression of the proto-oncogene int-1 in Xenopus embryos leads to duplication of the embryonic axis. Cell 58: 1075–1084. pmid:2673541
  52. 52. Herman MA, Horvitz HR (1994) The Caenorhabditis elegans gene lin-44 controls the polarity of asymmetric cell divisions. Development 120: 1035–1047. pmid:8026318
  53. 53. Green JL, Inoue T, Sternberg PW (2008) Opposing Wnt pathways orient cell polarity during organogenesis. Cell 134: 646–656. pmid:18724937
  54. 54. Whangbo J, Kenyon C (1999) A Wnt signaling system that specifies two patterns of cell migration in C. elegans. Mol Cell 4: 851–858. pmid:10619031
  55. 55. Malin JA, Kinet MJ, Abraham MC, Blum ES, Shaham S (2016) Transcriptional control of non-apoptotic developmental cell death in C. elegans. Cell Death Diff pmid:27472063
  56. 56. Sagasti A, Hisamoto N, Hyodo J, Tanaka-Hino M, Matsumoto K, Bargmann CI (2001) The CaMKII UNC-43 activates the MAPKKK NSY-1 to execute a lateral signaling decision required for asymmetric olfactory neuron fates. Cell 105: 221–232. pmid:11336672
  57. 57. Slack F, Basson M, Liu Z, Ambros V, Horvitz H (2000) The lin-41 RBCC gene acts in the C. elegans heterochronic pathway between the let-7 regulatory RNA and the LIN-29 transcription factor. Molecular Cell. pmid:10882102
  58. 58. Rougvie AE, Ambros V (1995) The heterochronic gene lin-29 encodes a zinc finger protein that controls a terminal differentiation event in Caenorhabditis elegans. Development (Cambridge, England) 121: 2491–2500. pmid:7671813
  59. 59. Reinhart BJ, Slack FJ, Basson M, Pasquinelli AE, Bettinger JC, Rougvie AE, et al. (2000) The 21-nucleotide let-7 RNA regulates developmental timing in Caenorhabditis elegans. Nature 403: 901–906. pmid:10706289
  60. 60. Laraia L, McKenzie G, Spring DR, Venkitaraman AR, Huggins DJ (2015) Overcoming Chemical, Biological, and Computational Challenges in the Development of Inhibitors Targeting Protein-Protein Interactions. Chem Biol 22: 689–703. pmid:26091166
  61. 61. Arkin MR, Tang Y, Wells JA (2014) Small-molecule inhibitors of protein-protein interactions: progressing toward the reality. Chem Biol 21: 1102–1114. pmid:25237857
  62. 62. Teschner S, Burst V (2010) Leflunomide: a drug with a potential beyond rheumatology. Immunotherapy 2: 637–650. pmid:20874647