Inhibiting poly(ADP-ribosylation) improves axon regeneration

Neurons carry information around the body along slender projections known as axons. An injury that crushes or cuts an axon can lead to permanent disability if the axon fails to regenerate. While some damaged neurons in the body can repair themselves, typically those present in the brain and spinal cord cannot regenerate successfully after injury.

The ability of a neuron to regenerate its axon depends in part on factors present inside the neuron itself. By understanding how these internal mechanisms regulate axon regeneration, researchers hope to develop new ways to boost the repair of damaged neurons.

A protein called DLK acts inside neurons to promote regeneration of injured axons across a range of species including worms and mammals. In the absence of DLK, regeneration is impaired. The DLK signaling pathway is activated in damaged neurons and is thought to promote repair by altering the activity of genes and proteins that control the regeneration process.

Byrne et al. have now identified genes that are activated by the DLK signaling pathway in the roundworm, Caenorhabditis elegans. The experiments show that DLK signaling increases the activity of genes encoding enzymes known as PARGs, which in turn enhance axon regeneration. PARG enzymes remove chain-like molecules called poly(ADP-ribose) that are attached to target proteins.

Further experiments showed that other enzymes known as PARPs, which add the poly(ADP-ribose) markers to proteins, act to inhibit axon regeneration in both Caenorhabditis elegans and in injured neurons from mice. Consistent with this, Byrne et al. found that drugs that inhibit PARP enzymes improved axon regeneration when they were given to C. elegans with injured neurons. These results suggest that a critical role of the DLK signaling pathway is to regulate poly(ADP-ribose) levels and that reducing the amount of poly(ADP-ribose) added to proteins can promote axon regeneration.

The next step is to understand exactly how poly(ADP-ribose) regulates axon regeneration and to identify the other factors – besides poly(ADP-ribose), PARGs and PARPs – that act downstream of DLK signalling to regulate regeneration.

Unlike damaged peripheral nerves, the central nervous system does not successfully regenerate after injury. Failure to regenerate has been attributed to two components of the regeneration response: intrinsic and extrinsic factors. While extrinsic inhibitory factors such as the glial microenvironment can be modulated with some success, regeneration potential is still substantially hindered, providing evidence that intrinsic factors play a significant role in modulating the ability of an axon to regenerate (Richardson et al., 1980; Neumann and Woolf, 1999; GrandPré et al., 2000; Fournier et al., 2001; Qiu et al., 2002; Yiu and He, 2006; Park et al., 2008; Smith et al., 2009; Wang et al., 2011). Developing an understanding of the intrinsic mechanisms that regulate regeneration will provide insight into the treatment of neurological injury and disease.

DLK-1 (Dual Leucine Zipper Kinase) is a mitogen activated protein kinase kinase kinase (MAPKKK) identified in C. elegans that functions intrinsically to regulate regeneration of adult axons in the central and peripheral nervous systems across species, including flies and mammals (Hammarlund et al., 2009; Yan et al., 2009; Xiong et al., 2010; Shin et al., 2012; Wang et al., 2013; Watkins et al., 2013; Byrne et al., 2014). Activation of dlk-1 enhances axon regeneration and loss of dlk-1 function inhibits axon regeneration in young and aged animals (Hammarlund et al., 2009; Yan et al., 2009; Byrne et al., 2014). In worms, flies, and mice, the function of DLK signaling in regeneration depends on gene transcription (Xiong et al., 2010; Shin et al., 2012; Yan and Jin, 2012; Watkins et al., 2013; Stone et al., 2014). These data suggest that specific targets of DLK transcriptional regulation may mediate the ability of DLK signaling to promote regeneration. Further, these targets may identify novel aspects of the cell biology of axon regeneration. Finally, modulation of these targets might increase the intrinsic regenerative potential of injured axons.

To identify targets of DLK transcriptional regulation in neurons, we took advantage of a recently developed method that uses FACS to isolate C. elegans neurons and compare their gene expression profiles (Spencer et al., 2014). We sorted GABA motor neurons from animals with activated DLK signaling (dlk-1(OE), conferred by overexpression of DLK-1L [Hammarlund et al., 2009; Yan and Jin, 2012]) and compared them to wild-type GABA neurons. To control for potential off-target effects of DLK activation, we also analyzed neurons that contained both dlk-1(OE) and a loss of function mutation in pmk-3, the MAP kinase at the end of the canonical DLK signaling pathway (Nakata et al., 2005; Hammarlund et al., 2009; Yan and Jin, 2012). RNA sequencing and analysis suggested the parg genes as candidates for further evaluation. The gene parg-2 (poly(ADP-ribose) glycohydrolase-2) was significantly upregulated in neurons with activated DLK signaling (187-fold upregulated in dlk-1(OE) vs wild type, p<0.01, two-way ANOVA, Bonferroni post-test) (Figure 1A). Further, examination of RNA-Seq results for the parg-2 paralog, parg-1, detected a 2.5-fold increase in the dlk-1(OE) background compared to wild type (p<0.05, two-way ANOVA, Bonferroni post-test, Figure 1A) (See Materials and methods). Elevated expression of parg-1 and parg-2 by DLK signaling depended on the canonical DLK MAP kinase pathway since up-regulation was eliminated in neurons that over-expressed dlk-1 but lacked its downstream effector pmk-3 (Figure 1A). These data suggested that regulation of PARG function might be a major effect of DLK signaling. Overall, up-regulation (>two fold, p<0.05) (See Materials and methods) of gene expression by DLK signaling was observed for only 1.9% of coding genes (386 out of 20,375 protein coding genes assayed); expression of most genes was not affected by DLK signaling. For example, expression levels of the pan-neuronal control gene rgef-1 (a ras nucleotide exchange factor) were not altered in either mutant background (Figure 1A). Together, our data indicate parg expression is regulated by DLK signaling in GABA neurons.

Figure 1

Download asset Open asset

To further test whether DLK regulates parg expression in GABA neurons, we built a reporter construct that expresses nuclear-localized mCherry driven by the parg-2 promoter. At low magnification (4X), mCherry was only detected in dlk-1(OE) animals (20/20 dlk-1OE animals, 0/20 wild type animals). At high magnification (40X), mCherry was seen in 90% of GABA neurons in dlk-1(OE) animals and 19% of GABA neurons in control animals (Figure 1B,C) (p<0.0001, Fisher’s exact test). mCherry was not detected in dlk-1(lf) animals, which lack DLK-1. Therefore, parg-2 expression is dependent on dlk-1, even in intact, uninjured axons.

Next, we tested the effect of axon injury on dlk-1-dependent parg expression (Figure 1B,C). Approximately 10 hr post-axotomy, parg-2 expression was significantly elevated in cut GABA axons relative to parg-2 expression in GABA axons of uninjured animals (47% vs 19%, p=0.0028, Fisher’s exact test). Further, by examining neighboring uncut GABA axons, we found that parg-2 expression also increased in uninjured neurons to equivalent levels (47% vs 41%, p=0.6722, Fisher’s exact test). The increase in parg-2 expression in response to injury is entirely dependent on dlk-1, as parg-2 expression was not seen in cut or uncut axons in injured dlk-1(lf) animals (p=0.0003 and p=0.0001, relative to cut axons and uncut axons in injured wild type animals). Thus, parg-2 expression is upregulated in injured neurons and their neighbors, and dependent on dlk-1.

Poly(ADP-ribose) glycohydrolases (PARGs) catalyze dePARylation: the removal of the post-translational modification poly(ADP-ribose) (PAR) from target proteins (Miwa and Sugimura, 1971; Althaus and Richter, 1987). The parg-1 and parg-2 genes encode the only two PARGs in the C. elegans genome (Gagnon et al., 2002). We determined the function of parg-1 and parg-2 in axon regeneration by assessing regrowth after single neuron laser axotomy in GABA neurons (Byrne et al., 2011) (Figure 1D). Loss of either parg-1 or parg-2 reduced axon regeneration to approximately half of normal levels: only 39% and 36% of axons regenerated in parg-1 and parg-2 mutants, respectively, while 70% of axons regenerated in control animals (Figure 1E,F). Therefore, parg-1 and parg-2 regulate axon regeneration.

The parg-1 and parg-2 genes are closely linked on chromosome IV, complicating generation of a double mutant. To assess whether complete elimination of PARG activity could further reduce regeneration, we used a CRISPR-Cas9 approach (Friedland et al., 2013) to mutate parg-1 in the parg-2(lf) background (Figure 1G). The resulting parg-1(lf); parg-2(lf) double mutant was viable and displayed wild-type morphology and behavior, indicating PARG function is not essential. Axon regeneration in parg-1(lf); parg-2(lf) animals was similar to axon regeneration in either parg-1 or parg-2 mutant animals (Figure 1F). Thus, PARG activity is required for normal axon regeneration, but some regeneration occurs even in animals that completely lack parg.

To test whether the parg genes act within GABA neurons to regulate axon regeneration, we reintroduced parg-1 or parg-2 specifically in GABA neurons (using the unc-47 promoter) of parg-1(lf) or parg-2(lf) mutants, respectively, and assessed regeneration. We found that 87% and 85% of injured axons regenerated in parg-1 and parg-2 worms whose GABA neurons had restored PARG expression (Figure 1H). We conclude cell-intrinsic PARG function is required for axon regeneration of GABA neurons (Figure 1I).

Cellular levels of PARylation are determined by the balance between the activity of PARGs, which remove PAR, and the activity of poly (ADP-ribose) polymerases (PARPs), which transfer PAR onto target proteins (Schreiber et al., 2006; Gibson and Kraus, 2012). Thus, axon regeneration defects in parg-1 and parg-2 mutants (Figure 1F) could be due to accumulation of PAR. To test this hypothesis, we analyzed regeneration in animals with reduced PAR. The C. elegans genome contains two PARP homologs, parp-1 and parp-2 (Gagnon et al., 2002). We found that mutation of either parp-1 or parp-2 increased axon regeneration relative to control animals: 92% and 90% of axons regenerated in parp-1 and parp-2 mutants, respectively, while 76% of axons in controls regenerated (Figure 2A,B). Regenerating axons in these assays include all those that initiate a migrating growth cone after injury. To determine whether axons in PARP mutants are capable of sustained growth toward their original target, we assessed ability to extend towards the dorsal nerve cord (Figure 2C). We found that 56% and 53% of regenerating axons in parp-1 and parp-2 mutants, respectively, regrew at least 3/4 of the distance between the ventral and the dorsal nerve cords compared to only 26% of regenerating axons in controls (Figure 2D). Moreover, some parp-2 mutants sprouted new axons from the cell body (Figure 2E). The opposing effects of PARGs and PARPs on poly(ADP)-ribose and on axon regeneration indicate that PARylation is a critical determinant of regenerative potential.

Figure 2 with 1 supplement see all

Download asset Open asset

PARG and PARP function are well-conserved between C.elegans and mammals (Gagnon et al., 2002; St-Laurent et al., 2007). Therefore, we hypothesized that blocking PARP function might be sufficient to improve regeneration of mammalian CNS neurons. To test this hypothesis, we assessed the effect of PARP knockdown on mouse cortical neuron regeneration. We cultured primary cortical mouse neurons in 96-well plates (Huebner et al., 2011). We subsequently added lentiviral control or one of two unique PARP1 shRNAs at three days in vitro (DIV), and injured the neurons with a custom pin-replicator five days later (Huebner et al., 2011). Three days after injury, we fixed the neurons and assessed regeneration. We found that axons exposed to PARP1 shRNA regenerated significantly better than axons exposed to control shRNA (Figure 2F,G). To confirm the shRNA clones targeted PARP1, we performed western blots on cortical neurons exposed to the negative control shRNA or to the two unique shRNA that target PARP1. In each case PARP was detected in the insoluble fraction and not in the lysate, in agreement with previously reported localization to the nucleus (reviewed in Bai, 2015). PARP was significantly reduced in neurons exposed to either of the PARP1-targeting shRNAs compared to negative control shRNA (Figure 2H,I). PARP levels were normalized to actin levels in each sample of neurons. Therefore, PARP-1 and PARylation are conserved inhibitors of axon regeneration after injury, and reducing their function improves axon regeneration across species.

Having established that PARGs are novel regulators of axon regeneration, we sought to determine the extent to which DLK function is mediated by PARGs. We assessed regeneration in animals with activated DLK signaling (dlk-1(OE)), but lacking both parg-1 and parg-2. We found that loss of both parg-1 and parg-2 function reduced regeneration in the dlk-1(OE) background, just as loss of parg-1 and parg-2 reduces regeneration in animals with wild type levels of DLK signaling (Figure 2J and Figure 2—figure supplement 1). In both cases, regeneration is reduced but not eliminated, and the amount of regeneration that remains is higher than complete loss of dlk-1 signaling (0% regeneration) or loss of the downstream pmk-3 in the dlk-1(OE) background (7% regeneration) (Nakata et al., 2005; Hammarlund et al., 2009). Thus, DLK-dependent regeneration depends in part on parg-1 and parg-2.

In addition to controlling axon regeneration, DLK signaling regulates presynaptic development (Nakata et al., 2005). To test whether presynaptic development is regulated by PARylation, we quantified synapses at the GABA neuromuscular junction with the pre-synaptic reporter hpIs3. The hpIs3 reporter expresses GFP tagged SYD-2 (alpha-liprin) in presynaptic active zones of GABA motor neurons (Zhen and Jin, 1999). In control animals, SYD-2::GFP is distributed in a punctate pattern at regularly interspaced intervals along the dorsal nerve cord (Figure 3) (Yeh et al., 2005). Loss of all PARG activity did not affect synapse morphology. Increased DLK signaling in dlk-1(OE) animals causes synapse morphology defects (Figure 3) (Nakata et al., 2005). In dlk-1(OE) animals, SYD-2::GFP is diffuse along the dorsal nerve cord, which increases the average baseline fluorescence along a line scan (Figure 3). However, loss of PARG activity did not suppress these defects. Together, these data indicate that in contrast to its role in axon regeneration, PARylation does not regulate synapse formation, even when DLK signaling is activated.

Figure 3

Download asset Open asset

Axon injury triggers an acute response that includes activation of DLK signaling (Yan and Jin, 2012). PARylation is a short-lived modification, and PAR levels are normally maintained by the continuous activity of PARP and PARG proteins (Schreiber et al., 2006; Gibson and Kraus, 2012). These data suggest a model in which increased PARG expression downstream of DLK signaling acutely reduces PAR levels in response to axon injury, thereby facilitating regeneration. We hypothesized that acute reduction of PAR levels by inhibition of PARP might also increase axon regeneration after injury, potentially similar to increased regeneration in PARP mutants (Figure 2). Multiple chemical PARP inhibitors are currently in preclinical and clinical trials for indications including cancer therapy and stroke (Ford and Lee, 2011; Anwar et al., 2015). We found that treatment with chemical PARP inhibitors after injury resulted in significantly enhanced axon regeneration in vivo in C. elegans GABA neurons and in vitro in murine cortical neurons (Figure 4A–C, and Figure 4—figure supplement 1). Drug treatment post-injury also improved behavioral recovery, demonstrating that enhanced regeneration after PARP inhibition results in functional reconnection (Figure 4D,E). Thus, acute poly(ADP-ribose) levels determine the response of neurons to axon injury, and inhibition of PARP after injury is sufficient to improve regeneration.

Figure 4 with 1 supplement see all

Download asset Open asset

Together, our findings suggest that regulation of PARylation is an important component of the DLK pathway role in the axon regeneration mechanism. Multiple lines of evidence suggest the parg genes are transcriptionally regulated downstream of DLK signaling to promote regeneration. First, we find both of the parg genes are upregulated in animals with activated DLK signaling. Second, we find that endogenous dlk-1 signaling drives parg-2 expression in an injury-dependent manner. Third, we find that loss of the parg genes reduces regeneration, both in animals with endogenous levels of dlk-1 activity and in animals with elevated DLK-1 signaling. These findings suggest a linear model in which DLK signaling induces parg expression, which in turn facilitates regeneration by removing PAR.

In addition to regulating PARylation, our data indicate that DLK signaling regulates regeneration upstream of multiple effectors. Although PARylation has a strong effect on regeneration in both animals with wild-type levels of dlk-1 and in animals that overexpress dlk-1, some GABA axons in parg-1(lf) parg-2(lf) mutants are still able to regenerate (Figure 1F), indicating high levels of PAR do not completely prevent DLK-mediated axon regeneration. By contrast, GABA axons do not regenerate in animals lacking DLK (Hammarlund et al., 2009; Yan et al., 2009). These data suggest that DLK activity has other functions besides regulating PARylation. Some of these functions may be mediated by other transcriptional outputs of DLK signaling (Watkins et al., 2013). Understanding these factors, as well as understanding the cellular effects of PAR on regeneration, await further study.

Besides shedding light on functional outputs of DLK signaling, our findings identify a novel pathway, involving control of poly(ADP-ribose) levels, that regulates axon regeneration (Figure 4F). Specifically, we find that PARG and PARP activity regulate the acute response of neurons to axon injury, and that chemical PARP inhibition after injury is sufficient to improve regeneration. The lack of additive phenotype in the double loss of function parg-1(-); parg-2(-) mutant suggests the two parg genes are not partially redundant. Rather, parg-1 and parg-2 may function together, for example as part of a complex. In Arabidopsis thaliana, the two PARG homologs physically interact (Song et al., 2015), suggesting the PARG homologs may function coordinately. Alternatively, concerted action of both PARGs may be required to maintain PAR levels below a threshold. In this model, loss of either single PARG results in a sufficient PAR increase to block regeneration, but increasing PAR beyond this threshold does not further reduce regeneration.

Previous investigations of the relationship between the two C. elegans parg homologs have been complicated by the physical proximity of the two genes in the genome. As a result, double loss of function mutants have been generated using RNAi. Since RNAi can result in incomplete knockdown of target genes, it has been difficult to determine the functional redundancy of the two genes using this approach. The parg-1; parg-2 mutant described here may be useful for further characterization of animals that completely lack PARG function.

In vivo, injured mammalian axons must overcome extrinsic growth inhibition to regenerate. PARP1 is upregulated in murine cortical neurons exposed to inhibitory growth molecules (myelin-associated glycoprotein, Nogo-A, Chondroitin sulfate proteoglycans) in vitro and in crushed optic nerves in vivo. Moreover, inhibiting PARP1 promotes neurite outgrowth on inhibitory substrates in vitro (Brochier et al., 2015). Since PARPs and PARGs have contrasting effects on PAR levels, NAD+ levels, which are substrates of PAR (Bai, 2015), and on axon regeneration, we conclude the balance between PARP and PARG function regulates axon regeneration, and present the hypothesis the PARG-PARP balance may determine axon regeneration by regulating PAR levels or by regulating NAD+ levels. Finally, the conservation of the role of PARP in mammalian axon regeneration may have important implications for nerve repair following injury or disease.

1. 1. Althaus FR
   2. Richter C

   (1987) ADP-ribosylation of proteins. Enzymology and biological significance

   Molecular Biology, Biochemistry, and Biophysics 37:1–237.

   https://doi.org/10.1002/abio.370090614

   • Google Scholar
2. 1. Anwar M
   2. Aslam HM
   3. Anwar S

   (2015) PARP inhibitors

   Hereditary Cancer in Clinical Practice 13:4.

   https://doi.org/10.1186/s13053-014-0024-8

   • Google Scholar
3. 1. Bai P

   (2015) Biology of poly(ADP-Ribose) polymerases: The factotums of cell maintenance

   Molecular Cell 58:947–958.

   https://doi.org/10.1016/j.molcel.2015.01.034

   • Google Scholar
4. 1. Brenner S

   (1974)

   The genetics of Caenorhabditis elegans

   Genetics 77:71–94.

   • Google Scholar
5. 1. Brochier C
   2. Jones JI
   3. Willis DE
   4. Langley B

   (2015) Poly(ADP-ribose) polymerase 1 is a novel target to promote axonal regeneration

   PNAS 112:15220–15225.

   https://doi.org/10.1073/pnas.1509754112

   • Google Scholar
6. 1. Byrne AB
   2. Edwards TJ
   3. Hammarlund M

   (2011) In vivo laser axotomy in C. elegans

   Journal of Visualized Experiments 51:e2707.

   https://doi.org/10.3791/2707

   • Google Scholar
7. 1. Byrne AB
   2. Walradt T
   3. Gardner KE
   4. Hubbert A
   5. Reinke V
   6. Hammarlund M

   (2014) Insulin/IGF1 signaling inhibits age-dependent axon regeneration

   Neuron 81:561–573.

   https://doi.org/10.1016/j.neuron.2013.11.019

   • Google Scholar
8. 1. Ford AL
   2. Lee JM

   (2011) Climbing STAIRs towards clinical trials with a novel PARP-1 inhibitor for the treatment of ischemic stroke

   Brain Research 1410:120–121.

   https://doi.org/10.1016/j.brainres.2011.07.001

   • Google Scholar
9. 1. Fournier AE
   2. GrandPre T
   3. Strittmatter SM

   (2001) Identification of a receptor mediating Nogo-66 inhibition of axonal regeneration

   Nature 409:341–346.

   https://doi.org/10.1038/35053072

   • Google Scholar
10. 1. Friedland AE
    2. Tzur YB
    3. Esvelt KM
    4. Colaiácovo MP
    5. Church GM
    6. Calarco JA

    (2013) Heritable genome editing in C. elegans via a CRISPR-Cas9 system

    Nature Methods 10:741–743.

    https://doi.org/10.1038/nmeth.2532

    • Google Scholar
11. 1. Gagnon SN
    2. Hengartner MO
    3. Desnoyers S

    (2002) The genes pme-1 and pme-2 encode two poly(ADP-ribose) polymerases in Caenorhabditis elegans

    Biochemical Journal 368:263–271.

    https://doi.org/10.1042/bj20020669

    • Google Scholar
12. 1. Gibson BA
    2. Kraus WL

    (2012) New insights into the molecular and cellular functions of poly(ADP-ribose) and PARPs

    Nature Reviews Molecular Cell Biology 13:411–424.

    https://doi.org/10.1038/nrm3376

    • Google Scholar
13. 1. GrandPré T
    2. Nakamura F
    3. Vartanian T
    4. Strittmatter SM

    (2000) Identification of the Nogo inhibitor of axon regeneration as a Reticulon protein

    Nature 403:439–444.

    https://doi.org/10.1038/35000226

    • Google Scholar
14. 1. Hammarlund M
    2. Nix P
    3. Hauth L
    4. Jorgensen EM
    5. Bastiani M

    (2009) Axon regeneration requires a conserved MAP kinase pathway

    Science 323:802–806.

    https://doi.org/10.1126/science.1165527

    • Google Scholar
15. 1. Huebner EA
    2. Kim BG
    3. Duffy PJ
    4. Brown RH
    5. Strittmatter SM

    (2011) A multi-domain fragment of Nogo-A protein is a potent inhibitor of cortical axon regeneration via Nogo receptor 1

    Journal of Biological Chemistry 286:18026–18036.

    https://doi.org/10.1074/jbc.M110.208108

    • Google Scholar
16. 1. Miwa M
    2. Sugimura T

    (1971)

    Splitting of the ribose-ribose linkage of poly(adenosine diphosphate-robose) by a calf thymus extract

    The Journal of Biological Chemistry 246:6362–6364.

    • Google Scholar
17. 1. Nakata K
    2. Abrams B
    3. Grill B
    4. Goncharov A
    5. Huang X
    6. Chisholm AD
    7. Jin Y

    (2005) Regulation of a DLK-1 and p38 MAP kinase pathway by the ubiquitin ligase RPM-1 is required for presynaptic development

    Cell 120:407–420.

    https://doi.org/10.1016/j.cell.2004.12.017

    • Google Scholar
18. 1. Neumann S
    2. Woolf CJ

    (1999) Regeneration of dorsal column fibers into and beyond the lesion site following adult spinal cord injury

    Neuron 23:83–91.

    https://doi.org/10.1016/S0896-6273(00)80755-2

    • Google Scholar
19. 1. Park KK
    2. Liu K
    3. Hu Y
    4. Smith PD
    5. Wang C
    6. Cai B
    7. Xu B
    8. Connolly L
    9. Kramvis I
    10. Sahin M
    11. He Z

    (2008) Promoting axon regeneration in the adult CNS by modulation of the PTEN/mTOR pathway

    Science 322:963–966.

    https://doi.org/10.1126/science.1161566

    • Google Scholar
20. 1. Qiu J
    2. Cai D
    3. Dai H
    4. McAtee M
    5. Hoffman PN
    6. Bregman BS
    7. Filbin MT

    (2002) Spinal axon regeneration induced by elevation of cyclic AMP

    Neuron 34:895–903.

    https://doi.org/10.1016/S0896-6273(02)00730-4

    • Google Scholar
21. 1. Richardson PM
    2. McGuinness UM
    3. Aguayo AJ

    (1980) Axons from CNS neurons regenerate into PNS grafts

    Nature 284:264–265.

    https://doi.org/10.1038/284264a0

    • Google Scholar
22. 1. Robinson MD
    2. McCarthy DJ
    3. Smyth GK

    (2010) edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

    Bioinformatics 26:139–140.

    https://doi.org/10.1093/bioinformatics/btp616

    • Google Scholar
23. 1. Schreiber V
    2. Dantzer F
    3. Ame JC
    4. de Murcia G

    (2006) Poly(ADP-ribose): novel functions for an old molecule

    Nature Reviews Molecular Cell Biology 7:517–528.

    https://doi.org/10.1038/nrm1963

    • Google Scholar
24. 1. Shin JE
    2. Cho Y
    3. Beirowski B
    4. Milbrandt J
    5. Cavalli V
    6. DiAntonio A

    (2012) Dual leucine zipper kinase is required for retrograde injury signaling and axonal regeneration

    Neuron 74:1015–1022.

    https://doi.org/10.1016/j.neuron.2012.04.028

    • Google Scholar
25. 1. Smith PD
    2. Sun F
    3. Park KK
    4. Cai B
    5. Wang C
    6. Kuwako K
    7. Martinez-Carrasco I
    8. Connolly L
    9. He Z

    (2009) SOCS3 deletion promotes optic nerve regeneration in vivo

    Neuron 64:617–623.

    https://doi.org/10.1016/j.neuron.2009.11.021

    • Google Scholar
26. 1. Song J
    2. Keppler BD
    3. Wise RR
    4. Bent AF

    (2015) PARP2 is the predominant poly(ADP-Ribose) polymerase in arabidopsis DNA damage and immune responses

    PLOS Genetics 11:e1005200.

    https://doi.org/10.1371/journal.pgen.1005200

    • Google Scholar
27. 1. Spencer WC
    2. McWhirter R
    3. Miller T
    4. Strasbourger P
    5. Thompson O
    6. Hillier LW
    7. Waterston RH
    8. Miller DM

    (2014) Isolation of specific neurons from C. elegans larvae for gene expression profiling

    PLoS ONE 9:e112102.

    https://doi.org/10.1371/journal.pone.0112102

    • Google Scholar
28. 1. St-Laurent JF
    2. Gagnon SN
    3. Dequen F
    4. Hardy I
    5. Desnoyers S

    (2007) Altered DNA damage response in Caenorhabditis elegans with impaired poly(ADP-ribose) glycohydrolases genes expression

    DNA Repair 6:329–343.

    https://doi.org/10.1016/j.dnarep.2006.10.027

    • Google Scholar
29. 1. Stone MC
    2. Albertson RM
    3. Chen L
    4. Rolls MM

    (2014) Dendrite injury triggers DLK-independent regeneration

    Cell Reports 6:247–253.

    https://doi.org/10.1016/j.celrep.2013.12.022

    • Google Scholar
30. 1. Wang X
    2. Duffy P
    3. McGee AW
    4. Hasan O
    5. Gould G
    6. Tu N
    7. Harel NY
    8. Huang Y
    9. Carson RE
    10. Weinzimmer D
    11. Ropchan J
    12. Benowitz LI
    13. Cafferty WB
    14. Strittmatter SM

    (2011) Recovery from chronic spinal cord contusion after Nogo receptor intervention

    Annals of Neurology 70:805–821.

    https://doi.org/10.1002/ana.22527

    • Google Scholar
31. 1. Wang X
    2. Kim JH
    3. Bazzi M
    4. Robinson S
    5. Collins CA
    6. Ye B

    (2013) Bimodal control of dendritic and axonal growth by the dual leucine zipper kinase pathway

    PLoS Biology 11:e1001572.

    https://doi.org/10.1371/journal.pbio.1001572

    • Google Scholar
32. 1. Watkins TA
    2. Wang B
    3. Huntwork-Rodriguez S
    4. Yang J
    5. Jiang Z
    6. Eastham-Anderson J
    7. Modrusan Z
    8. Kaminker JS
    9. Tessier-Lavigne M
    10. Lewcock JW

    (2013) DLK initiates a transcriptional program that couples apoptotic and regenerative responses to axonal injury

    PNAS 110:4039–4044.

    https://doi.org/10.1073/pnas.1211074110

    • Google Scholar
33. 1. Xiong X
    2. Wang X
    3. Ewanek R
    4. Bhat P
    5. Diantonio A
    6. Collins CA

    (2010) Protein turnover of the wallenda/DLK kinase regulates a retrograde response to axonal injury

    The Journal of Cell Biology 191:211–223.

    https://doi.org/10.1083/jcb.201006039

    • Google Scholar
34. 1. Yan D
    2. Jin Y

    (2012) Regulation of DLK-1 kinase activity by calcium-mediated dissociation from an inhibitory isoform

    Neuron 76:534–548.

    https://doi.org/10.1016/j.neuron.2012.08.043

    • Google Scholar
35. 1. Yan D
    2. Wu Z
    3. Chisholm AD
    4. Jin Y

    (2009) The DLK-1 kinase promotes mRNA stability and local translation in C. elegans synapses and axon regeneration

    Cell 138:1005–1018.

    https://doi.org/10.1016/j.cell.2009.06.023

    • Google Scholar
36. 1. Yeh E
    2. Kawano T
    3. Weimer RM
    4. Bessereau JL
    5. Zhen M

    (2005) Identification of genes involved in synaptogenesis using a fluorescent active zone marker in Caenorhabditis elegans

    Journal of Neuroscience 25:3833–3841.

    https://doi.org/10.1523/JNEUROSCI.4978-04.2005

    • Google Scholar
37. 1. Yiu G
    2. He Z

    (2006) Glial inhibition of CNS axon regeneration

    Nature Reviews Neuroscience 7:617–627.

    https://doi.org/10.1038/nrn1956

    • Google Scholar
38. 1. Zhen M
    2. Jin Y

    (1999) The liprin protein SYD-2 regulates the differentiation of presynaptic termini in C. elegans

    Nature 401:371–375.

    https://doi.org/10.1038/43886

    • Google Scholar
39. 1. Zou Y
    2. Stagi M
    3. Wang X
    4. Yigitkanli K
    5. Siegel CS
    6. Nakatsu F
    7. Cafferty WB
    8. Strittmatter SM

    (2015) Gene-silencing screen for mammalian axon regeneration identifies inpp5f (Sac2) as an endogenous suppressor of repair after spinal cord injury

    Journal of Neuroscience 35:10429–10439.

    https://doi.org/10.1523/JNEUROSCI.1718-15.2015

    • Google Scholar

Author details

1. Alexandra B Byrne

   1. Department of Genetics, Yale University School of Medicine, New Haven, United States
   2. Department of Neuroscience, Yale University School of Medicine, New Haven, United States
   3. Program in Cellular Neuroscience, Neurodegeneration, and Repair, Yale University School of Medicine, New Haven, United States

   Present address

   Department of Neurobiology, University of Massachusetts Medical School, Worcester, United States

   Contribution

   ABB, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article

   Competing interests

   The authors declare that no competing interests exist.

   "This ORCID iD identifies the author of this article:" 0000-0002-7449-9188

2. Rebecca D McWhirter

   1. Department of Cell and Developmental Biology, Vanderbilt University, Nashville, United States
   2. Program in Neuroscience, Vanderbilt University, Nashville, United States

   Contribution

   RDM, Acquisition of data, Analysis and interpretation of data

   Competing interests

   The authors declare that no competing interests exist.

3. Yuichi Sekine

   1. Program in Cellular Neuroscience, Neurodegeneration, and Repair, Yale University School of Medicine, New Haven, United States
   2. Department of Neurology, Yale University School of Medicine, New Haven, United States

   Contribution

   YS, Acquisition of data, Analysis and interpretation of data

   Competing interests

   The authors declare that no competing interests exist.

4. Stephen M Strittmatter

   1. Department of Neuroscience, Yale University School of Medicine, New Haven, United States
   2. Program in Cellular Neuroscience, Neurodegeneration, and Repair, Yale University School of Medicine, New Haven, United States
   3. Department of Neurology, Yale University School of Medicine, New Haven, United States

   Contribution

   SMS, Conception and design, Analysis and interpretation of data, Drafting or revising the article

   Competing interests

   The authors declare that no competing interests exist.

   "This ORCID iD identifies the author of this article:" 0000-0001-8188-3092

5. David M Miller III

   1. Department of Cell and Developmental Biology, Vanderbilt University, Nashville, United States
   2. Program in Neuroscience, Vanderbilt University, Nashville, United States

   Contribution

   DMM, Conception and design, Analysis and interpretation of data, Drafting or revising the article

   Competing interests

   The authors declare that no competing interests exist.

   "This ORCID iD identifies the author of this article:" 0000-0001-9048-873X

6. Marc Hammarlund

   1. Department of Genetics, Yale University School of Medicine, New Haven, United States
   2. Department of Neuroscience, Yale University School of Medicine, New Haven, United States
   3. Program in Cellular Neuroscience, Neurodegeneration, and Repair, Yale University School of Medicine, New Haven, United States

   Contribution

   MH, Conception and design, Analysis and interpretation of data, Drafting or revising the article

   For correspondence

   marc.hammarlund@yale.edu

   Competing interests

   The authors declare that no competing interests exist.

   "This ORCID iD identifies the author of this article:" 0000-0002-3068-068X

• 2,130

  views

• 439

  downloads

• 42

  citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Citations by DOI

• 42

  citations for umbrella DOI https://doi.org/10.7554/eLife.12734