Abstract
Regeneration failure after spinal cord injury (SCI) results in part from the lack of a pro-regenerative response in injured neurons, but the response to SCI has not been examined specifically in injured sensory neurons. Using RNA sequencing of dorsal root ganglion, we determined that thoracic SCI elicits a transcriptional response distinct from sciatic nerve injury (SNI). Both SNI and SCI induced upregulation of ATF3 and Jun, yet this response failed to promote growth in sensory neurons after SCI. RNA sequencing of purified sensory neurons one and three days after injury revealed that unlike SNI, the SCI response is not sustained. Both SCI and SNI elicited the expression of ATF3 target genes, with very little overlap between conditions. Pathway analysis of differentially expressed ATF3 target genes revealed that fatty acid biosynthesis and terpenoid backbone synthesis were downregulated after SCI but not SNI. Pharmacologic inhibition of fatty acid synthase, the enzyme generating palmitic acid, decreased axon growth and regeneration in vitro. These results support the notion that decreased expression of lipid metabolism-related genes after SCI, including fatty acid synthase, may restrict axon regenerative capacity after SCI.
Subject terms: Regeneration and repair in the nervous system, Gene expression
Introduction
Unlike injured neurons in the peripheral nervous system, which mount a regenerative response and reconnect with their targets, axon regeneration typically fails after spinal cord injury (SCI). In addition to the growth inhibitory environment of the injured spinal cord1,2, gene profiling studies link regenerative failure after SCI to the lack of an intrinsic transcriptional response3,4. This is supported by the conditioning injury paradigm, in which prior injury to the peripheral axons of dorsal root ganglion (DRG) sensory neurons promotes axon regeneration of their central axons after SCI5–7. Peripheral nerve injury upregulates many regeneration-associated transcription factors (RATFs)8,9, yet only modest spinal axon regeneration has been observed by overexpressing RATFs10–12. This suggests that RATFs expression does not sufficiently recapitulate a growth program and that the intrinsic mechanisms underlying regeneration failure after SCI remains incompletely understood.
Whether and how DRG sensory neurons alter their transcriptome after SCI remains unclear because most analyses have used whole DRG after SCI3,4,13, which includes uninjured nociceptors14 and non-neuronal cells15. In this study, we took advantage of a mouse line that labels DRG sensory neurons ascending the spinal cord to unravel their transcriptional response to SCI. We performed RNA sequencing (RNA-seq) experiments from whole DRG and from fluorescence-activated cell sorted (FACS) ascending DRG sensory neurons acutely after SCI and SNI. Our results indicate that ascending DRG sensory neurons alter their transcriptome after SCI, with gene expression changes that differ from SNI. Part of the transcriptional changes observed after SCI are related to a decrease in lipid metabolism and may repress axon regeneration.
Results
SCI induces a unique transcriptional response in the DRG compared with PNS injury
Previous studies suggest that transcriptional changes in whole DRG after SCI may occur early after SCI and might not be sustained3,4. SNI was also shown to induce a more robust transcriptional response compared to SCI in whole DRG4. In contrast, SCI induces more changes in 5-hydroxymethylcytosine than SNI, an epigenomic mark that has transcriptional regulatory roles13. These studies suggest that SCI may elicit a transcriptional response in DRG, but a detailed analysis of how SCI affect gene expression in DRG and sensory neurons has not been performed in detail. To better understand the transcriptional response in DRG after SCI and SNI, we performed RNA-seq of L4 DRG one day (1d) after SCI and analyzed our results with a previously generated RNA-seq data set collected 1d after SNI (Fig. 1A;16). We found that SCI elicits a less robust transcriptional response in the DRG compared to SNI, with fewer differentially expressed (DE) genes compared to SNI (Fig. 1B, Supplementary Tables 1,2). There were few DE genes overlapping between conditions (~ 15%) and many (~ 9%) were inversely expressed (Fig. 1B). KEGG (Kyoto Encyclopedia of Genes and Genomes biological) pathway analysis17–19 of DE genes identified different pathways enriched after SNI and SCI (Fig S1A-B), suggesting that the SCI response is distinct from the SNI response.
We next examined the expression of RATFs, given their important roles in establishing a regenerative axon growth program9,20. Whereas all RATFs examined were upregulated after SNI, only ATF3 and Jun were increased after SCI (Fig. 1C, Supplementary Table 3). The activation of RATFs is believed to arise in part from retrograde transport of kinases from the injury site back to the cell soma21,22. The dual leucine zipper kinase DLK is required for retrograde injury signaling and induction of RATFs after nerve injury16,23, and is significantly decreased after SCI (0.29 fold, p-adj < 0.05). To determine if the limited transcriptional upregulation of RATFs after SCI relates to decreased levels of DLK, we used previously generated RNA-seq data that examined the transcriptional response to nerve injury in mice lacking DLK (DLK KO;16). Comparison of DE genes and KEGG pathway analysis17–19 in DLK KO following SNI and wildtype mice following SCI revealed little overlap between conditions (Fig S1B–D), suggesting that the diminished RATFs upregulation after SCI is unlikely mediated by reduced DLK signaling.
The unique transcriptional response of SCI in the DRG compared to SNI may result in gene expression that actively represses axon regeneration after SCI. To examine this possibility further, we performed KEGG pathway analysis17–19 on DE genes that were inversely expressed between conditions. We found that inversely expressed DE genes were associated with biosynthetic and lipid metabolic pathways (Fig. 1D–H, Supplementary Table 4). These pathways were also some of the most enriched by SCI when all downregulated DE genes were examined (Fig. S1B). This is particularly interesting since previous studies using DRG cultures revealed that synthesis of phosphatidylcholine and cholesterol is required for axonal growth24–26, although more recent studies suggest that decreasing cholesterol levels promote axon growth27,28. Furthermore, in the optic nerve injury model it was shown that increasing phospholipid synthesis and decreasing triglyceride synthesis promotes axon regeneration29. Together, these results suggest that defects in lipid synthesis may restrict axon regeneration after SCI.
ATF3 and Jun upregulation after SCI is not sufficient to promote growth in vitro
ATF3 and Jun are required for peripheral nerve regeneration30,31. When co-expressed in cultured DRG neurons, ATF3 and Jun promote axon growth in vitro32 and regeneration of the central axon branch of sensory neurons in vivo33. We thus determined if ATF3 and Jun upregulation after SCI occurs in ascending DRG sensory neurons. We used Thy1-YFP16 mice34, which label large diameter ascending DRG sensory neurons35,36. Unlike small diameter nociceptors, these sensory neurons ascend the spinal cord and are directly injured by thoracic SCI37 (Fig. 2A). Indeed, all low-threshold mechanoreceptors ascend the entire dorsal column up to cervical level, and nearly all proprioceptors ascend 6–8 segments along the spinal cord37. Ascending DRG sensory neurons are also distinct from nociceptors in that they express NF200 (Nefh) but not TrkA38 and we confirmed that YFP neurons were NF200 positive and TrkA negative (> 90%, Fig. 2B,C). We found that after SNI, ATF3 and Jun were expressed in nearly two-thirds of all DRG neurons, with equal numbers between YFP positive and negative neurons (Fig. 2D,E; Fig. S2A–B). In contrast, only ~ 5% of all DRG neurons expressed ATF3 and Jun after SCI, but ~ 20% of YFP neurons were ATF3 and Jun positive after SCI (Fig. 2D,E; Fig. S2A–B). We next asked whether this increased ATF3 and Jun expression in YFP neurons promotes axon growth in vitro 3 days after SCI. We observed that unlike SNI, SCI failed to induce a conditioning effect in vitro in YFP neurons compared to naive (Fig. 2F,G). These results suggest that the other transcriptional changes elicited by SCI we observed (Fig. 1D–H) may repress the pro-growth effects associated with ATF3 and Jun expression. It is also possible that ATF3 and Jun need to be expressed in the same cells to synergize32. We think this is likely, but limitations with antibodies did not permit us to confirm co-expression of ATF3 and Jun in injured ascending DRG sensory neurons.
SCI induces a unique transcriptional response in ascending DRG sensory neurons compared to SNI
Neurons are outnumbered by non-neuronal cells at least tenfold in the DRG15 and not all lumbar DRG neurons ascend the spinal cord and are directly injured by T9 SCI37. Thus, to define the transcriptional changes elicited by SCI in ascending DRG sensory neurons specifically, we performed RNAseq 1 and 3 days after SCI or SNI in FACS-sorted ascending DRG sensory neurons from YFP16 mice (Fig. 3A). This approach allowed us to enrich for ascending DRG sensory neurons, based on the expression levels of known neuronal marker genes38 when comparing FACS-sorted and whole DRG samples (Fig. 3B, Supplementary Tables 3, 5). We found that SCI elicited fewer DE genes compared to SNI at 1d and 3d (Fig. 3C,D, Supplementary Tables 6, 7). There was little overlap between the two conditions, with only ~ 37% for upregulated genes and ~ 23% for downregulated genes (Fig. 3C). Whereas the numbers of DE genes were increased from 1 to 3 days after SNI, DE genes decreased from 1 to 3 days after SCI (Fig. 3D, Supplementary Tables 6, 7), suggesting that the SCI response is not sustained over time. This may explain why few transcriptional changes in whole DRG were observed 7 days after SCI3.
We next examined the expression of RATFs known to promote axon growth9,20. We found that all assessed RATFs were upregulated in ascending DRG sensory neurons 1 and 3 days after SNI (Fig. 3E, Supplementary Table 5). In contrast, only ATF3 and Smad1 were increased 1 and 3 days after SCI. KLF6 and Creb1 expression increased at 1d, while Sox11 increased at 3d after SCI (Fig. 3E, Supplementary Table 5). The SNI-induced upregulation of RATFs in ascending DRG sensory neurons was remarkably similar to the response we previously reported in FACS-sorted nociceptors (Fig. S3A–B)39. This is consistent with recent findings indicating that after peripheral nerve injury most sensory neurons adopt a similar transcriptomic state31,40. The unique effects of SCI on ascending DRG sensory neurons are thus unlikely related to any intrinsic transcriptional differences between sensory neuron subtypes within the DRG. To better understand the transcriptional differences in ascending DRG sensory neurons after SNI and SCI, we next performed KEGG pathway analysis17–19 of all DE genes. We identified different pathways enriched after SCI and SNI (Fig. S3C–F), with the 5 most enriched KEGG pathways associated with biosynthetic and lipid metabolic pathways 1d after SCI (Fig. S3D). The top 3 downregulated biosynthesis pathways 1d after SCI were steroid biosynthesis, fatty acid biosynthesis, and terpenoid backbone biosynthesis (Fig. S3D), all of which were also identified in whole DRG analysis 1d after SCI (Fig. S1B). None of these pathways were downregulated by SNI, and instead steroid biosynthesis was upregulated both 1d and 3d after SNI (Fig. S3C,E). Interestingly, we found that only ~ 43% and ~ 13% of DE genes identified in FACS-sorted ascending sensory neurons after SNI and SCI, respectively, overlapped with DE genes identified from whole DRG (Fig. S3G, S3H). Many genes are likely not identified in whole DRG because unlike SNI, SCI only directly injures the ascending DRG sensory neurons subpopulation within the DRG37.
We next examined ATF3 target genes, because ATF3 is required to induce the transcriptional re-programming of all neuron subtypes after nerve injury, and ATF3 DNA-binding motifs are enriched in the common injury gene set across neuronal subtypes31. We identified DE genes that have ATF3 binding sites in the promoter region using Patser software41 and ATF3 binding matrix obtained from JASPAR database. Because a majority of the shared DE genes identified at 1 and 3 days post injury changed in the same direction under the same injury condition, we combined the genes for downstream analysis. We found a total of 706 unique ATF3 target genes regulated by SCI and 1891 regulated by SNI, with only 289 common genes (Fig. 3F, Supplementary Table 8). KEGG pathway analysis17–19 revealed that fatty acid biosynthesis and terpenoid backbone synthesis were specifically downregulated after SCI but not SNI (Fig. 3G). Further analysis of the ATF3 target genes in these pathways indicated that most genes were more significantly downregulated after SCI than SNI, and some were upregulated by SNI (Fig. 3H, Supplementary Table 8). GO analysis for molecular function of ATF3 target genes further revealed little overlap between SCI and SNI, and also revealed that the downregulation of genes related to ion channel, which is believed to represent in part the loss of neuronal identity after injury31, only occurs after SNI (Fig. S4). These results reveal that lipid biosynthetic pathways are downregulated in ascending DRG sensory neurons after SCI and may repress axon regeneration.
Fatty acid synthase (FASN) inhibition decreases DRG axon growth in vitro
FASN is an enzyme responsible for de novo fatty acid synthesis42. Fasn is one of the genes in the fatty acid biosynthesis pathway containing an ATF3 binding motif and is downregulated in ascending DRG sensory neurons specifically after SCI (Fig. 3H, Supplemental Table 8). FASN synthesizes palmitic acid, which is the substrate for the synthesis of more complex lipids including phospholipids42. Given the role of lipid synthesis in axon growth24,26,43, we tested whether inhibiting FASN with platensimycin, an inhibitor that was shown to effectively inhibit fatty acid synthesis in vitro44, impairs axon growth. Adult DRG neuronal cultures were treated with platensimycin or vehicle control 30 min after plating and axon growth was assessed 24 h later. Platensimycin decreased axon growth by ~ 40% compared to vehicle controls (Fig. 4A,B). Since adult DRG cultures include both neurons and non-neuronal cells, we cannot rule out the potential impact of FASN inhibition on non-neuronal cells in decreasing axon growth in vitro Indeed, neurite growth in culture hippocampal neurons was shown to be supported by phospholipid-loaded lipoproteins secreted from glial cells45. We also recently showed that FASN is required in satellite glial cells, which completely surround sensory neurons, to promote axon regeneration in peripheral nerves46. Therefore, to test if FASN is required intrinsically in neurons to promote axon growth, we used a spot culture assay, in which embryonic DRG are dissociated and cultured in a spot, allowing axons to extend radially from the spot47,48. By including the mitotic inhibitor 5-deoxyfluoruridine (FDU), we can obtain a culture enriched for neurons with limited amounts of other non-neuronal cell types46. The effects observed in these neuronal culture are thus largely intrinsic to sensory neurons. This assay has recapitulated for the most part what has been observed in vivo in sensory neurons47–50, and is suitable to test compounds affecting axon regeneration. Platensimycin was added to the media 6 days after plating. Axons were cut using a microtome blade on day 7 and allowed to regenerate for 24 h, fixed and stained for SCG10 to visualize axon regeneration51. Regenerative axon length was measured from the visible blade mark to the end of the regenerating axon tips. We observed that platensimycin decreased axon regenerative capacity (Fig. 4C,D). FASN generates palmitic acid, which is used in part to make phospholipid ligands for the peroxisome proliferator-activated receptor (PPAR) family of transcription factors. PPARs are ligand-activated nuclear receptors that bind lipid signaling molecules to transduce the signals derived from the metabolic environment to control gene expression52. In adipose tissue, FASN is required for generating endogenous ligands for PPARγ53 and in neurons, PPARγ contributes to the pro-regenerative response after axon injury54. We found that the PPARγ agonist rosiglitazone partially rescued the axon regeneration defects induced by FASN inhibition (Fig. 4C,D). These results indicate that in neurons, FASN promotes axon growth in part by generating the ligands for PPARγ.
Palmitic acid generated by FASN is also critical for protein palmitoylation55. Both Gap43 and SCG10 proteins are palmitoylated and anterogradely transported after nerve injury56. Palmitoylation of SCG10 facilitates its targeting to the growth cone57,58 and axonal transport of SCG10 is widely used to label regenerating axons in peripheral nerves51. We found that SNI, but not SCI, induces upregulation of Gap43 and SCG10 at the gene expression level (Fig. 4E,F). We next tested if SCG10 accumulates or not at the tip of injured ascending DRG sensory axons 24 h after SCI, and if a prior conditioning injury would increase SCG10 accumulation at ascending DRG sensory axon tips after SCI. We performed a unilateral conditioning SNI, followed by thoracic SCI along with tracer injection into the conditioned sciatic nerve 3 days later, and histology assessment of the ascending DRG sensory neuron 24 h later (Fig. 4G, S5). Since the tracer labels only ipsilateral dorsal column axons, we can assess both conditioned (ipsilateral, tracer-labeled) and unconditioned (contralateral, unlabeled) axons in the same animal and tissue section. We found that SCG10 accumulates in injured ascending DRG sensory axons only after a conditioning injury (Fig. 4H–I). This is consistent with previous findings showing that CNS axons increase axonal transport after peripheral conditioning59. SCG10 accumulation in PNS axon tips is associated with neurite growth and regeneration23,60,61, whereas SCG10 degradation has surprisingly been suggested to promote axon growth after SCI62. Our results reveal that axonal transport of SCG10 fails to occur in ascending DRG sensory neurons 24 h after SCI. Whether this impaired transport results in part from decreased protein palmitoylation as a consequence of decreased FASN expression remains to be tested. Together, these results supports the notion that decreased expression of lipid metabolism-related genes after SCI, including FASN, restricts axon regenerative capacity after SCI.
Discussion
Our results reveal that ascending DRG sensory neurons respond to SCI and alter their transcriptome in a way that differs from SNI. The upregulation of stress response genes such as ATF3 and Jun suggest that ascending DRG sensory neurons can sense injury after SCI and mount a stress response, but this response is not sufficient to promote a growth state. Our analysis of ATF3 target genes further suggests that in the context of SCI, ATF3 regulates a set of genes that may inhibit ascending DRG sensory neuron growth, whereas in the context of SNI, ATF3 is necessary to transform injured neurons into a regenerative state31. We identified downregulation of lipid biosynthesis related genes in ascending DRG sensory neurons after SCI as one possible mechanism that inhibits axon growth. Pharmacologic inhibition of the enzyme generating fatty acid, FASN, decreases axon growth and regeneration in vitro. Our results are consistent with the notion that phospholipid synthesis is required for axon growth in cultured neurons24,26,43 and in vivo in retinal ganglion cells29.
Since sensory neurons represent only ~ 10% of cells within the DRG15, and only a subpopulation (the ascending DRG sensory neurons) are injured by a T9 SCI37, we opted to FACS-sort ascending DRG sensory neurons from YFP16 mice in our analysis. We did find that the FACSeq analysis detected fewer DE genes after both SNI and SCI compared to whole DRG RNA-seq. Differences in methodology may underlie these results, since dissociation and FACS sorting induces an acute axon injury in DRG neurons and sorting 100 YFP + neurons in triplicate introduces added variability due to random sampling. Nonetheless, our analysis revealed many DE genes (> 500) in ascending DRG sensory neurons. This is significantly more than the DE genes observed (< 100) in FACS-sorted nociceptors after compression SCI14, which are not directly injured by SCI37. This would suggest that injury to a projection neuron which receives primary input from DRG neurons leads to a much smaller change in gene expression than direct injury to the ascending DRG neuron itself. We also found that fewer DE genes identified in FACS-sorted ascending DRG sensory neurons overlapped with DE genes identified from whole DRG after SCI (13%) compared with SNI (~ 43%). These differences likely reflect the fact that ascending DRG sensory neurons are only a subpopulation within the DRG.
One important finding was that SCI leads to increased expression of ATF3, a transcription factor known to regulate the pro-generative program after peripheral nerve injury31. However, after SCI, the genes containing an ATF3 binding motif were largely distinct from those after nerve injury. Our analyses also suggest that ATF3 may be responsible for the downregulation of lipid metabolism related genes. These findings may explain why ATF3 overexpression can promote peripheral nerve regeneration63, but fails to do so in several models of CNS injury33,64,65. Changes in epigenomic signatures66 or expression of transcription factors acting as co-factors67 after SCI and SNI may contribute to the difference in expression of ATF3 regulated genes.
Another relevant finding was that the numbers of DE genes in ascending DRG sensory neurons increased from 1 to 3 days after SNI but decreased from 1 to 3 days after SCI. This suggests that the SCI response is not sustained over time and could explain why few transcriptional changes in whole DRG were previously observed 7 days after SCI3. Why transcriptional responses would decrease in time after SCI is unclear, but one possibility is inhibitory signaling from newly established CSPG’s at the injury site, which can be observed as early as 1 dpi68. The effect of the environment on the neuronal transcriptional response is supported by the recent observation that a regenerative transcriptome is not sustained in corticospinal tract motor neurons, unless a graft of neural progenitor cells, which promotes robust regeneration, is provided69. Another possibility is anatomical, since SCI leaves the peripheral sensory branch intact. Therefore, the continuous sensory input from the peripheral branch may restrict the expression of an injury response over time. This is consistent with the notion that electrical activity suppresses axon growth and limits regenerative ability in the injured CNS70–72. In addition to leaving the peripheral axon intact, thoracic SCI also leaves the descending axon branch in the spinal cord intact. Indeed, after entering the spinal cord, the central sensory axon bifurcates, with one axon branch ascending and one axon branch descending in the spinal cord73. It has been shown by in vivo two-photon imaging that a surviving intact descending branch suppresses regenerative response of the injured ascending branch, while eliminating both leads to a strong regenerative response74. It is thus possible that the spared descending axonal branch after thoracic SCI impairs the expression of a full regeneration program.
Our transcriptional profile analysis from whole DRG and FACS-sorted ascending DRG sensory neurons both suggested a potential role for downregulation of biosynthetic and lipid metabolic pathways after SCI in repressing axon regeneration. Decreased lipid metabolism after SCI in whole DRG is consistent with our recent observation that FASN expression in satellite glial cells promotes axon regeneration in peripheral nerves in part by activating PPARα in satellite glial cells46. Here we found that Fasn is also expressed in neurons, and is more significantly downregulated after SCI than SNI in ascending DRG sensory neurons. Using pure neuronal cultures, we found that FASN inhibition decreased neurite outgrowth and axon regeneration in vitro. The axon growth defect was rescued by the PPARγ agonist rosiglitazone, suggesting that in neurons, FASN functions in part to generate ligands for PPARγ which promotes neuronal regeneration after injury54. We also observed that SCG10 accumulation at the tip of injured ascending DRG sensory axons is impaired after SCI. This is consistent with the notion that decline of intrinsic axon regenerative ability is associated with selective exclusion of key molecules from CNS axons, and that manipulation of transport can enhance regeneration75. Whether SCG10 decreased transport after SCI is the result of decreased palmitoylation, a key function of FASN55, remains to be tested. FASN is also thought to facilitate membrane outgrowth76, in part by cooperating with protrudin, which is known to induce neurite formation77 and axon regeneration in the adult CNS78. Together, these findings indicate that FASN may impact axon growth at multiple levels. Whether FASN expression can increase axon growth after SCI will require future investigations.
Materials and methods
Experimental animals and surgical procedures
All mice were approved by the Washington University School of Medicine Institutional Animal Care and Use Committee (IACUC) under protocol A3381-01. All experiments were performed in accordance with the relevant guidelines and regulations. All experimental protocols involving mice were approved by Washington University School of Medicine (protocol #20,180,128). Mice were housed and cared for in the Washington University School of Medicine animal care facility. This facility is accredited by the Association for Assessment & Accreditation of Laboratory Animal Care (AALAC) and conforms to the PHS guidelines for Animal Care. Accreditation—7/18/97, USDA Accreditation: Registration # 43-R-008.
All surgical procedures were performed under isofluorane anesthesia according to approved guidelines by the Washington University in St. Louis School of Medicine Institutional Animal Care and Use Committee. Adult female mice (C57/Bl6, Envigo and Thy1-YFP16, Jackson Laboratory; 10–20 weeks) were used due to ease of bladder voiding after SCI. Buprenorphine SR-LAB (1 mg/kg, subcutaneous, ZooPharm) was administered 1 h before surgery for analgesia. During surgery mice were anesthetized with 2.5% isoflurane. Surgical sites were shaved and disinfected with povidone-iodine solution (Ricca) and alcohol. After surgery underlying tissue was sutured with absorbable sutures and the skin closed with wound clips.
For sciatic nerve injury (SNI), a small skin incision (~ 1 cm) was made at midthigh, the underlying tissue separated by blunt dissection, and the right sciatic nerve exposed and crushed with fine forceps for 5 s. For tracer injection into the sciatic nerve, 2ul of 10% dextran, texas red (Thermo Fisher, Cat # D-3328) was injected using a 5ul Hamilton syringe. For spinal cord injury (SCI), a small midline skin incision (~ 1 cm) was made over the thoracic vertebrae at T9 − T10, the paraspinal muscles freed, and the vertebral column stabilized with metal clamps placed under the T9/10 transverse processes. Dorsal laminectomy at T9/10 was performed with laminectomy forceps, the dura removed with fine forceps, and the dorsal column transversely cut using fine iridectomy scissors.
Tissue processing and immunohistochemistry
Immediately after euthanasia mice were transcardially perfused with 10 mL of PBS followed by 10 mL of 4% paraformaldehyde (PFA) in PBS (FD Neurotechnologies; PF101). Tissue was dissected and post-fixed in 4% PFA for 4 h and then cryoprotected in 30% sucrose overnight. All tissue was sectioned using a cryostat at 10 um except for spinal tissue (20 um). For immunohistochemistry, tissue sections were blocked in 5% donkey serum (Sigma-Aldrich; Catalog #D9663) in 0.2% PBST (1 h) and incubated overnight at 4 °C in primary antibodies diluted in the blocking solution. The next day sections were incubated in secondary antibodies (1:500; 1 h) in PBS and coverslipped in ProLong Gold antifade mounting media (Thermo Fisher). Between steps tissue sections were washed with PBS. For image acquisition, a Nikon TE-2000E microscope equipped with a Prior ProScan3 motorized stage was used. Nikon Elements software was used for image analysis.
Cell culture
For adult DRG cultures, mice were transcardially perfused immediately after euthanasia with 10 mL of Hanks’ balanced salt solution with 10 mM HEPES (HBSS-H) and L4 DRG dissected into HBSS-H on ice. DRG were treated with papain (15 U/ml, Worthington Biochemical) and collagenase (1.5 mg/ml, Sigma-Aldrich) in HBSS-H at 37 °C for 20 min, then dissociated by trituration into 3 or 4 wells of a 24-well glass-bottom plate coated with 100 μg/ml poly-D-lysine and 3 μg/ml laminin. Culture media consisted of Neurobasal-A medium, B27 plus, glutaMAX, and penicillin/streptomycin. For experiments assessing Fasn inhibition, vehicle (0.05% DMSO) or platensimycin (1 μm) was added to the media 30 min after plating. After 24 h cells were fixed with 4% PFA for 20 min and then immunostained as described above.
For in vitro regeneration assay with embryonic DRG cultures, DRG were isolated from time pregnant e13.5 CD-1 mice. DRG were kept in cold HBSS media until all DRGs were collected. After a short centrifugation, dissection media was aspirated and ganglia were digested in 0.05% Trypsin–EDTA for 25 min in 37 °C. Next, cells were pelleted by centrifuging for 2 min at 500 × g, the supernatant was aspirated, and Neurobasal was added. Cells were then triturated 25 × and added to the growth medium containing Neurobasal media, B27 Plus, 1 ng/ml NGF, Glutamax and Pen/Strep, with 5 μM 5-deoxyfluoruridine (FDU). Approximately 10,000 cells were added to each well in a 2.5 μl spot. Spotted cells were allowed to adhere for 10 min before the addition of the growth medium. Plates were pre-coated with 100 μγ/ml poly-D-lysine. Vehicle (0.05% DMSO), platensimycin (1 μM) (gift from Merck Research Labs) or rosiglitazone (10 μM) (Sigma-Aldrich; Catalog # R2408) was added to culture on DIV6. Cells were then injured using an 8 mm microtome blade on DIV7 and fixed 24 h later. Cells were washed with PBS and stained for SCG10 as described above.
Image analysis
Total neurons were identified using TUJ1 (BioLegend, Cat # 801202, 1:1000) or for neuronal nuclei with Islet-1 (Novus Biologicals, Cat # af1837-sp, 1:500) antibodies, while YFP positive neurons were identified by endogenous GFP expression. Nuclear expression of ATF3 (Novus Biologicals, Cat # NBP1-85816, 1:250) and Jun (Cell Signaling, Cat # 9165S, 1:500) was assessed in all Islet-1 positive neuronal nuclei. NF200 positive (Abcam, Cat # ab4680, 1:1000) and TrkA negative (EMD Millipore, Cat # 06-574, 1:500) staining was used to characterize ascending DRG sensory neurons in YFP positive neurons. For cell culture experiments in Thy1 YFP16 mice, percent axon initiation (neurons with axon length > 50 um) and radial length (distance from soma to furthest axonal point) was manually measured for TUJ1 positive and YFP positive neurons. For FASN inhibition experiments in adult DRG cultures, automated axon tracing and neurons soma count was performed using Nikon NIS-Elements (Version 4.60) which is a commercial software package for image analysis, using “General Analysis” for skeletonize neurites with no background reduction. Parameters were set to Bright Spot Detection of circular area with typical soma diameter 50 µm, Cut Branches Recursively on Skeleton set to smaller than 15 px, Filter on Line Length was set to min 60 µm to remove short filaments. The specific analysis code for digital reconstruction of neurites is available upon request (requires NIS-Elements and General Analysis https://www.microscope.healthcare.nikon.com/products/software/nis-elements). For embryonic dorsal root ganglia experiments, regenerative length was measured from the visible blade mark to the end of the regenerating axons. Each technical replicate was measured 4–6 times and three technical replicates were measured per biological replicate. To assess ipsilateral versus contralateral SCG10 levels in the dorsal column, a rectangle was first drawn around the ipsilateral dextran-labeled conditioned axons (up to 1 mm away from the injury site), the image channel switched to show SCG10 labeling, and mean pixel intensity (SCG10 staining) measured using Nikon elements software. The rectangle was then moved to the immediate contralateral side of the dorsal column and SCG10 labeling similarly measured.
Whole DRG RNA sequencing
L4 DRG were dissected and homogenized in 300 μl of lysis buffer on ice and RNA purified using the PureLink RNA Mini kit (Thermo Fisher), which was submitted to the Genome Technology Access Center at Washington University for library preparation and sequencing. RNA quality was assessed using an Agilent Bioanalyzer (260/280 > 1.9; RIN > 8.0). Samples were subjected to DNase treatment. rRNA depletion was achieved with the Ribo-Zero rRNA removal kit. Library preparation was performed using the SMARTer kit (Clontech), and sequencing performed on an Illumina HiSeq3000.
Briefly, sequences are adapter-trimmed using Cutadapt79 and subjected to quality control using PRINSEQ80 and aligned to mouse genome GRCm38/mm10 using STAR81. Sequencing performance was assessed for total number of aligned reads, total number of uniquely aligned reads, genes and transcripts detected, ribosomal fraction, known junction saturation, and reads distribution over known gene models with RSeQC82. Reads in features were counted using HTseq83. Genes differentially expressed between conditions were identified using DESeq2 with a false discovery rate (FDR) adjusted p values < 0.1, which includes a Benjamini–Hochberg correction84. Variance stabilizing transformation (VST) normalized counts were calculated using DESeq2, and normalized gene counts were converted to Z scores for plotting. Heatmaps were generated using heatmap.2 function of the gplots R package.
Fluorescence-activated cell sorting RNA sequencing (FACS-seq)
L4 DRG from Thy1-YFP16 mice were dissociated as described above and FACS-sorted as previously described39. Briefly, after dissociation cells were passed through a 70 μm cell strainer and resuspended in PBS with 2% fetal calf serum. L4 DRG cells were sorted by GFP signal in triplicate for each sample (100 cells per well; each sample of 100 cells was obtained from one mouse) and submitted to the Genome Technology Access Center at Washington University for library preparation and sequencing. Library preparation was performed using the SMARTer Ultra LowRNA kit (Clontech) and sequencing performed on an Illumina HiSeq3000. RNA quality was assessed using an Agilent Bioanalyzer (260/280 > 1.9; RIN > 8.0).
Differentially expressed gene analysis were performed as described above except noted below. Genes with < 20 reads in all samples were excluded from further analysis. Outlier samples were identified using robust principal component analysis according to the ROBPCA, and GRID algorithms implemented in rrcov R package and were removed from further analysis85. The factors of unwanted variation were estimated using RUVr with k = 2 and were modeled in the DESeq2 design formula86.
ATF3 motif analysis
ATF3 position frequency matrix (MA0605.1) were obtained from JASPAR database (http://jaspar.genereg.net/). The Patser program calculates the probability of observing a sequence with a particular score or greater41,87 for the given matrix and determines the default cutoff score based on that p value. Sequence 5 kb upstream of ATG start codon of a given gene was scanned using Patser to identify ATF3 binding sites. Any gene with at least one ATF3 binding site was counted as ATF3 target gene. R package clusterProfiler88 was used for GO and KEGG pathway enrichment analysis and plotting. GO89,90 and KEGG pathway terms17–19 with FDR corrected p value < 0.05 were considered as significant.
Data deposition
FASTQ files were deposited at the NCBI GEO database. Accession: GSE149646.
Reviewer token: otqlcagytrmdryd.
Statistical analysis
All quantifications used for statistical analysis was performed by experimenters blinded to treatment conditions. DESeq2 with a false discovery rate (FDR) adjusted p values < 0.1. GraphPad Prism software was used for statistical analysis (GraphPad Prism version 8.2.1 for Windows, GraphPad Software, San Diego, California USA, www.graphpad.com). Statistical tests, sample sizes, and p values are reported in the legend for each figure. Statistical significance was defined as p < 0.05 or adjusted p < 0.1 for RNA-seq experiments. Error bars indicate the standard error of the mean (SEM).
Supplementary Information
Acknowledgements
We would like to thank members of the Cavalli lab for valuable discussions. We thank Kathleen Leahy for technical help with the embryonic DRG cultures. We also thank Avni Joshi for her help with image quantification. We thank Clay Semenkovich for helpful discussions on fatty acid synthesis and for providing us with the FASN inhibitor platensimycin. We also thank Anushree Seth and Madison Mack in association with InPrint for illustration in Figs..1a and 2a. This work was funded in part by a post-doctoral fellowship from the Craig H. Neilsen Foundation to E.E.E, by NIH Grant NS096034, NS082446 and NS111719 to V.C.
Author contributions
E.E.E. and V.C. designed experiments. E.E.E. performed and analyzed experiments. O.A. performed in vitro DRG. regeneration experiments. D.C. performed FACS of YFP positive neurons. T.M.G. and G.Z. analyzed RNAseq data. E.E.E. and V.C. wrote the manuscript. All authors reviewed the manuscript.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-020-79624-0.
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