Microglia and macrophages promote corralling, wound compaction and recovery after spinal cord injury via Plexin-B2 (original) (raw)

Data availability

The data that support the findings of this study are available from the corresponding authors upon request. RNA-seq data files were deposited at the National Center for Biotechnology Information (NCBI) GEO repository under accession number GSE113566.

References

  1. Silver, J. & Miller, J. H. Regeneration beyond the glial scar. Nat. Rev. Neurosci. 5, 146–156 (2004).
    Article CAS PubMed Google Scholar
  2. Burda, J. E. & Sofroniew, M. V. Reactive gliosis and the multicellular response to CNS damage and disease. Neuron 81, 229–248 (2014).
    Article CAS PubMed PubMed Central Google Scholar
  3. Courtine, G. & Sofroniew, M. V. Spinal cord repair: advances in biology and technology. Nat. Med. 25, 898–908 (2019).
    Article CAS PubMed Google Scholar
  4. Davalos, D. et al. ATP mediates rapid microglial response to local brain injury in vivo. Nat. Neurosci. 8, 752–758 (2005).
    Article CAS PubMed Google Scholar
  5. Beck, K. D. et al. Quantitative analysis of cellular inflammation after traumatic spinal cord injury: evidence for a multiphasic inflammatory response in the acute to chronic environment. Brain 133, 433–447 (2010).
    Article PubMed PubMed Central Google Scholar
  6. Popovich, P. G. & Jones, T. B. Manipulating neuroinflammatory reactions in the injured spinal cord: back to basics. Trends Pharmacol. Sci. 24, 13–17 (2003).
    Article CAS PubMed Google Scholar
  7. Hines, D. J., Hines, R. M., Mulligan, S. J. & Macvicar, B. A. Microglia processes block the spread of damage in the brain and require functional chloride channels. Glia 57, 1610–1618 (2009).
    Article PubMed Google Scholar
  8. Carlson, S. L., Parrish, M. E., Springer, J. E., Doty, K. & Dossett, L. Acute inflammatory response in spinal cord following impact injury. Exp. Neurol. 151, 77–88 (1998).
    Article CAS PubMed Google Scholar
  9. Friedel, R. H. et al. Plexin-B2 controls the development of cerebellar granule cells. J. Neurosci. 27, 3921–3932 (2007).
    Article CAS PubMed PubMed Central Google Scholar
  10. Daviaud, N., Chen, K., Huang, Y., Friedel, R. H. & Zou, H. Impaired cortical neurogenesis in plexin-B1 and -B2 double deletion mutant. Dev. Neurobiol. 76, 882–899 (2016).
    Article CAS PubMed Google Scholar
  11. Nakada, M. et al. Molecular targets of glioma invasion. Cell. Mol. Life Sci. 64, 458–478 (2007).
    Article CAS PubMed Google Scholar
  12. Gurrapu, S. & Tamagnone, L. Transmembrane semaphorins: multimodal signaling cues in development and cancer. Cell Adh. Migr. 10, 675–691 (2016).
    Article CAS PubMed PubMed Central Google Scholar
  13. Koropouli, E. & Kolodkin, A. L. Semaphorins and the dynamic regulation of synapse assembly, refinement, and function. Curr. Opin. Neurobiol. 27, 1–7 (2014).
    Article CAS PubMed Google Scholar
  14. Kumanogoh, A. (ed.) Semaphorins—A Diversity of Emerging Physiological and Pathological Activities (Springer Japan, 2015).
  15. Kumanogoh, A. & Kikutani, H. Immunological functions of the neuropilins and plexins as receptors for semaphorins. Nat. Rev. Immunol. 13, 802–814 (2013).
    Article PubMed CAS Google Scholar
  16. Negishi-Koga, T. & Takayanagi, H. Bone cell communication factors and semaphorins. Bonekey Rep. 1, 183 (2012).
    Article PubMed PubMed Central Google Scholar
  17. Pasterkamp, R. J. Getting neural circuits into shape with semaphorins. Nat. Rev. Neurosci. 13, 605–618 (2012).
    Article CAS PubMed Google Scholar
  18. Sakurai, A., Doçi, C. L., Doci, C. & Gutkind, J. S. Semaphorin signaling in angiogenesis, lymphangiogenesis and cancer. Cell Res. 22, 23–32 (2012).
    Article CAS PubMed Google Scholar
  19. Tran, T. S., Kolodkin, A. L. & Bharadwaj, R. Semaphorin regulation of cellular morphology. Annu. Rev. Cell Dev. Biol. 23, 263–292 (2007).
    Article CAS PubMed Google Scholar
  20. Worzfeld, T. & Offermanns, S. Semaphorins and plexins as therapeutic targets. Nat. Rev. Drug Discov. 13, 603–621 (2014).
    Article CAS PubMed Google Scholar
  21. Xia, J. et al. Semaphorin–plexin signaling controls mitotic spindle orientation during epithelial morphogenesis and repair. Dev. Cell 33, 299–313 (2015).
    Article CAS PubMed Google Scholar
  22. Mo, A. et al. Epigenomic signatures of neuronal diversity in the mammalian brain. Neuron 86, 1369–1384 (2015).
    Article CAS PubMed PubMed Central Google Scholar
  23. Parkhurst, C. N. et al. Microglia promote learning-dependent synapse formation through brain-derived neurotrophic factor. Cell 155, 1596–1609 (2013).
    Article CAS PubMed PubMed Central Google Scholar
  24. Kuboyama, T. et al. HDAC3 inhibition ameliorates spinal cord injury by immunomodulation. Sci. Rep. 7, 8641 (2017).
    Article PubMed PubMed Central CAS Google Scholar
  25. Parikh, P. et al. Regeneration of axons in injured spinal cord by activation of bone morphogenetic protein/Smad1 signaling pathway in adult neurons. Proc. Natl Acad. Sci. USA 108, E99–E107 (2011).
    Article PubMed PubMed Central Google Scholar
  26. Maier, V. et al. Semaphorin 4C and 4G are ligands of Plexin-B2 required in cerebellar development. Mol. Cell. Neurosci. 46, 419–431 (2011).
    Article CAS PubMed Google Scholar
  27. Kettenmann, H., Hanisch, U. K., Noda, M. & Verkhratsky, A. Physiology of microglia. Physiol. Rev. 91, 461–553 (2011).
    Article CAS PubMed Google Scholar
  28. Basso, D. M. et al. Basso mouse scale for locomotion detects differences in recovery after spinal cord injury in five common mouse strains. J. Neurotrauma 23, 635–659 (2006).
    Article PubMed Google Scholar
  29. Bradbury, E. J. et al. Chondroitinase ABC promotes functional recovery after spinal cord injury. Nature 416, 636–640 (2002).
    Article CAS PubMed Google Scholar
  30. Hickman, S. E. et al. The microglial sensome revealed by direct RNA sequencing. Nat. Neurosci. 16, 1896–1905 (2013).
    Article CAS PubMed PubMed Central Google Scholar
  31. Bays, J. L. & DeMali, K. A. Vinculin in cell–cell and cell–matrix adhesions. Cell. Mol. Life Sci. 74, 2999–3009 (2017).
    Article CAS PubMed PubMed Central Google Scholar
  32. Keren-Shaul, H. et al. A unique microglia type associated with restricting development of Alzheimer’s disease. Cell 169, 1276–1290.e17 (2017).
    Article CAS PubMed Google Scholar
  33. Liddelow, S. A. et al. Neurotoxic reactive astrocytes are induced by activated microglia. Nature 541, 481–487 (2017).
    Article CAS PubMed PubMed Central Google Scholar
  34. van Furth, R. Origin and turnover of monocytes and macrophages. Curr. Top. Pathol. 79, 125–150 (1989).
    Article PubMed Google Scholar
  35. Fogg, D. K. et al. A clonogenic bone marrow progenitor specific for macrophages and dendritic cells. Science 311, 83–87 (2006).
    Article CAS PubMed Google Scholar
  36. Robinson, S. P., Langan-Fahey, S. M., Johnson, D. A. & Jordan, V. C. Metabolites, pharmacodynamics, and pharmacokinetics of tamoxifen in rats and mice compared to the breast cancer patient. Drug Metab. Dispos. 19, 36–43 (1991).
    CAS PubMed Google Scholar
  37. Deng, S. et al. Plexin-B2, but not Plexin-B1, critically modulates neuronal migration and patterning of the developing nervous system in vivo. J. Neurosci. 27, 6333–6347 (2007).
    Article CAS PubMed PubMed Central Google Scholar
  38. Hirschberg, A. et al. Gene deletion mutants reveal a role for semaphorin receptors of the plexin-B family in mechanisms underlying corticogenesis. Mol. Cell. Biol. 30, 764–780 (2010).
    Article CAS PubMed Google Scholar
  39. Saha, B., Ypsilanti, A. R., Boutin, C., Cremer, H. & Chedotal, A. Plexin-B2 regulates the proliferation and migration of neuroblasts in the postnatal and adult subventricular zone. J. Neurosci. 32, 16892–16905 (2012).
    Article CAS PubMed PubMed Central Google Scholar
  40. Deb Roy, A. et al. Optogenetic activation of Plexin-B1 reveals contact repulsion between osteoclasts and osteoblasts. Nat. Commun. 8, 15831 (2017).
    Article CAS PubMed PubMed Central Google Scholar
  41. Wanner, I. B. et al. Glial scar borders are formed by newly proliferated, elongated astrocytes that interact to corral inflammatory and fibrotic cells via STAT3-dependent mechanisms after spinal cord injury. J. Neurosci. 33, 12870–12886 (2013).
    Article CAS PubMed PubMed Central Google Scholar
  42. Anderson, M. A. et al. Astrocyte scar formation aids central nervous system axon regeneration. Nature 532, 195–200 (2016).
    Article CAS PubMed PubMed Central Google Scholar
  43. Kaur, C., Rathnasamy, G. & Ling, E. A. Biology of microglia in the developing brain. J. Neuropathol. Exp. Neurol. 76, 736–753 (2017).
    Article CAS PubMed Google Scholar
  44. Zhao, X. & Guan, J. L. Focal adhesion kinase and its signaling pathways in cell migration and angiogenesis. Adv. Drug Deliv. Rev. 63, 610–615 (2011).
    Article CAS PubMed Google Scholar
  45. Meltzer, S. et al. Epidermis-derived semaphorin promotes dendrite self-avoidance by regulating dendrite-substrate adhesion in Drosophila sensory neurons. Neuron 89, 741–755 (2016).
    Article CAS PubMed PubMed Central Google Scholar
  46. Zeisel, A. et al. Brain structure. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq. Science 347, 1138–1142 (2015).
    Article CAS PubMed Google Scholar
  47. Zhang, Y. et al. An RNA-sequencing transcriptome and splicing database of glia, neurons, and vascular cells of the cerebral cortex. J. Neurosci. 34, 11929–11947 (2014).
    Article CAS PubMed PubMed Central Google Scholar
  48. Bellver-Landete, V. et al. Microglia are an essential component of the neuroprotective scar that forms after spinal cord injury. Nat. Commun. 10, 518 (2019).
    Article CAS PubMed PubMed Central Google Scholar
  49. Brennan, F. H., Hall, J. C. E., Guan, Z. & Popovich, P. G. Microglia limit lesion expansion and promote functional recovery after spinal cord injury in mice. Preprint at bioRxiv https://www.biorxiv.org/content/10.1101/410258v1 (2018).
  50. Busch, S. A., Horn, K. P., Silver, D. J. & Silver, J. Overcoming macrophage-mediated axonal dieback following CNS injury. J. Neurosci. 29, 9967–9976 (2009).
    Article CAS PubMed PubMed Central Google Scholar
  51. Descalzi, G. et al. Neuropathic pain promotes adaptive changes in gene expression in brain networks involved in stress and depression. Sci. Signal. 10, eaaj1549 (2017).
    Article PubMed PubMed Central CAS Google Scholar
  52. Mitsi, V. et al. RGS9-2—controlled adaptations in the striatum determine the onset of action and efficacy of antidepressants in neuropathic pain states. Proc. Natl Acad. Sci. USA 112, E5088–E5097 (2015).
    Article CAS PubMed PubMed Central Google Scholar
  53. Andrews, S. FastQC: a quality control tool for high throughput sequence data. Babraham Bioinformatics https://www.bioinformatics.babraham.ac.uk/projects/fastqc/ (2010).
  54. Bonfert, T., Kirner, E., Csaba, G., Zimmer, R. & Friedel, C. C. ContextMap 2: fast and accurate context-based RNA-seq mapping. BMC Bioinf. 16, 122 (2015).
    Article CAS Google Scholar
  55. Li, H. & Durbin, R. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics 25, 1754–1760 (2009).
    Article CAS PubMed PubMed Central Google Scholar
  56. Liao, Y., Smyth, G. K. & Shi, W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics 30, 923–930 (2014).
    Article CAS PubMed Google Scholar
  57. Robinson, M. D., McCarthy, D. J. & Smyth, G. K. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139–140 (2010).
    Article CAS PubMed Google Scholar
  58. Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. Roy. Stat. Soc. B 57, 289–300 (1995).
    Google Scholar
  59. Chen, E. Y. et al. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool. BMC Bioinformatics 14, 128 (2013).
    Article PubMed PubMed Central Google Scholar
  60. Kuleshov, M. V. et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res. 44, W90–W97 (2016).
    Article CAS PubMed PubMed Central Google Scholar
  61. Jensen, E. C. Quantitative analysis of histological staining and fluorescence using ImageJ. Anat. Rec. 296, 378–381 (2013).
    Article Google Scholar
  62. Hintze, J. L. & Nelson, R. D. Violin plots: a box plot-density trace synergism. Am. Stat. 52, 181–184 (1998).
    Google Scholar
  63. Longair, M. H., Baker, D. A. & Armstrong, J. D. Simple neurite tracer: open source software for reconstruction, visualization and analysis of neuronal processes. Bioinformatics 27, 2453–2454 (2011).
    Article CAS PubMed Google Scholar
  64. Morrison, H. W. & Filosa, J. A. A quantitative spatiotemporal analysis of microglia morphology during ischemic stroke and reperfusion. J. Neuroinflammation 10, 782 (2013).
    Article CAS Google Scholar
  65. Meijering, E., Dzyubachyk, O. & Smal, I. Methods for cell and particle tracking. Methods Enzymol. 504, 183–200 (2012).
    Article PubMed Google Scholar
  66. Scarpa, E. et al. A novel method to study contact inhibition of locomotion using micropatterned substrates. Biol. Open 2, 901–906 (2013).
    Article CAS PubMed PubMed Central Google Scholar
  67. Finelli, M. J., Wong, J. K. & Zou, H. Epigenetic regulation of sensory axon regeneration after spinal cord injury. J. Neurosci. 33, 19664–19676 (2013).
    Article CAS PubMed PubMed Central Google Scholar

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Acknowledgements

We thank all members of the Zou and Friedel laboratories for constructive comments. The work was supported by grants from the following organizations: the NIH/NINDS (R01/R56 NS073596), the Craig H. Neilsen Foundation (#476516) and the New York State Spinal Cord Injury Research Board (DOH01-C32242GG, DOH01-C33268GG) to H.Z.; the NIH/NINDS (R01 NS092735) to R.H.F.; the NIH/NINDS (NS086444, NS093537) and the NIH/NIA (U01 AG046170) to B.Z.; and the National Institute on Drug Abuse (P01 DA08227) to V.Z. Additional fellowship support was provided by the Chinese Scholarship Council to X.Z. and the New York State Spinal Cord Injury Research Board (DOH01-C32634GG) to S.W. M.-S.F., M.K. and C.C.F. were supported by grants FR2938/7-1 and CRC 1123 (Z2) from the Deutsche Forschungsgemeinschaft (DFG) to C.C.F. We would also like to thank Z. Yue and Y. Zhang for assisting in the rotarod tests, and Mount Sinai Microscopy CoRE for assisting in the STED imaging.

Author information

Author notes

  1. These authors contributed equally: Xiang Zhou and Shalaka Wahane.

Authors and Affiliations

  1. Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
    Xiang Zhou, Shalaka Wahane, Kleopatra Avrampou, Venetia Zachariou, Roland H. Friedel & Hongyan Zou
  2. Department of Orthopedics, Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
    Xiang Zhou & Xijing He
  3. Institut für Informatik, Ludwig-Maximilians-Universität München, Munich, Germany
    Marie-Sophie Friedl, Michael Kluge & Caroline C. Friedel
  4. Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
    Venetia Zachariou
  5. Department of Genetics and Genomic Sciences, Mount Sinai Center for Transformative Disease Modeling, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
    Lei Guo & Bin Zhang
  6. Xi’an International Medical Center, Xi’an, China
    Xijing He
  7. Department of Neurosurgery, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
    Roland H. Friedel & Hongyan Zou

Authors

  1. Xiang Zhou
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  2. Shalaka Wahane
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  3. Marie-Sophie Friedl
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  4. Michael Kluge
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  5. Caroline C. Friedel
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  6. Kleopatra Avrampou
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  7. Venetia Zachariou
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  8. Lei Guo
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  9. Bin Zhang
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  10. Xijing He
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  11. Roland H. Friedel
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  12. Hongyan Zou
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Contributions

X.Z. and S.W. conducted experiments and collected data. X.H., R.H.F. and H.Z. designed the study. K.A. and V.Z. provided expertise for the von Frey filament sensory assays, and M.-S.F., M.K., C.C.F., L.G. and B.Z. performed the bioinformatics analyses. All authors participated in data analyses and contributed to the manuscript.

Corresponding authors

Correspondence toRoland H. Friedel or Hongyan Zou.

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Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature Neuroscience thanks Jerry Silver, Pate Skene, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 Upregulation of Plexin-B2 in activated microglia/macrophages after SCI.

a, X-Gal staining of sagittal section of thoracic spinal cords from WT mouse show negative lacZ activity in sham or after SCI at 7 dpi. Images from 3 independent mice for each condition showed similar results. b, IHC images show Plexin-B2 induction at the injury site at 7 dpi after SCI, which co-localizes with CD11b. Images from 4 independent mice for each condition showed similar results. c, IHC images of thoracic spinal cords from Cx3cr1 GFP reporter mice show co-localization of Plexin-B2 and GFP at three time points after T8 transection. Images from 4 independent mice for each condition showed similar results. d, IHC images show minimal overlap between Plexin-B2 and the indicated neural markers at the injury site after SCI. Quantifications demonstrate that Plexin-B2 upregulation largely occurs in IBA1+ microglia/macrophages at three time points after SCI. Images from 4 independent mice showed similar results. e, Immunostaining of primary microglia (IBA1+) isolated from Cx3cr1 CreER Plxnb2 fl/B mice with no Tamoxifen exposure show Plexin-B2 induction upon LPS stimulation. Quantifications are shown on the right. n=100 cells counted from 3 independent cultures for each condition, unpaired two-tailed Student’s t test, ***p<0.0001. Data represent mean ± SEM. f, IHC images with long exposure show baseline expression of PB2 that colocalizes with IBA1 in uninjured spinal cord in control mice, but ablation of Plexin-B2 in Plxnb2 cKO mice. Images from 4 independent mice for each condition showed similar results.

Extended Data Fig. 2 Plexin-B2 ablation in IAM impairs wound healing.

a, Left, experimental scheme with continuous tamoxifen injection from 3 days before until 5 weeks after SCI. Right, graphs show no signification difference in body weight between cohorts during recovery after SCI. n=8 animals per group, two-way ANOVA with Bonferroni post hoc correction, n.s., p=0.11. Data represent mean ± SEM. b, IHC of sagittal thoracic spinal cords show much expanded distribution of IBA1+ cells and CSPGs, detected by CS-56 antibody, in Plxnb2 cKO as compared to control mice. Note the same spinal cord tissue was used for these co-staining as in Fig. 4b. c, IHC of sagittal thoracic spinal cords show expanded territory of pericytes (PDGFRβ+) together with IBA1+ immune cells as well as CSPG deposits in spatial disarray at the lesion site in Plxnb2 cKO as compared to control mice at 35 dpi. d, IHC of sagittal thoracic spinal cords show engorged blood vessels in expanded territory in cKO at 35 dpi, in contrast to the largely regressed capillary at the injury penumbra in control animal. R-rostral; C-caudal; D-dorsal; V-ventral, CC-central canal. For b, c, and d, n=3 independent mice per genotype with similar results.

Extended Data Fig. 3 Inflammatory spillover in Plexin-B2 cKO mice after SCI.

a, Experimental scheme with continuous tamoxifen exposure from 3 days before until 5 weeks after SCI. b, IHC of sagittal thoracic spinal cords show high level of Vinculin at the lesion core, which is widespread in Plxnb2 cKO mice. Phalloidin staining also show engorged blood vessels in cKO but capillary regression in control. Images were obtained from two independent pairs of mice with similar results. c, Transcriptional profiling of ECM genes at the injury site in Plxnb2 cKO mice relative to control littermates at 14 dpi. Heatmap denotes log2 fold change (FC). Data from using two house keeping genes, Gapdh or Hsp90ab1, show similar results. The ECM genes validated in IHC are highlighted. d, Images of consecutive sagittal sections of thoracic spinal cords show widespread Oil Red O staining in Plxnb2 cKO mice at 35 dpi as compared to the confined lipid debris at the lesion core in littermate controls. Images obtained from three independent mice per group showed similar results. R-rostral; C-caudal; D-dorsal; V-ventral, CC-central canal.

a, IHC images of thoracic spinal cords at 3 dpi after T8 dorsal transection (SCI-T). Mice also carry the Cx3cr1 GFP reporter. EdU was delivered 3 hours before tissue harvest. Quantifications are shown on the right. Unpaired two-tailed Student’s t test. For 3 dpi, n=4 animals, n.s., p=0.62. For 7 dpi, n=4 animals, p=0.81. For 14 dpi, n=5 animals, p= 0.57. Data represent mean ± SEM. b, Images of phagocytosis assays show that both control (no hydroxy-tamoxifen) and Plxnb2 cKO (with hydroxy-tamoxifen) microglia are capable of phagocytosing fluorescent beads. n=3 independent cultures with similar results. c, Read coverage tracks from RNA-Seq data and IHC images illustrate similar upregulation of the two lipid metabolism genes in IAM in control and Plxnb2 cKO mice at three time points after SCI. Images from 3 independent mice per condition revealed similar results. d, qRT-PCR results show relative expression levels of the indicted cytokines in log2 fold change in mixed cortical cultures of the indicated genotypes. Gapdh was used as house keeping gene. n=4 independent culture samples, each performed in triplicates, unpaired two-tailed Student’s t test, p=0.43 for Tnf, **p=0.0050 for Il1b, and p=0.86 for C1qa.

Extended Data Fig. 5 Plexin-B2 in IAM is required for corralling and vascular organization after SCI.

a, Experimental scheme. Tamoxifen was injected from day 3 before SCI until the time of analysis. (b-e) IHC images of sagittal thoracic spinal cords show early onset of the corralling process after T8 contusion injury. b, Note that in control mice at 3 dpi, dispersion of IBA1+ immune cells and intermingling with GFAP+ cells at the injury site, however, in Plxnb2 cKO mice, IBA1+ cells tended to cluster together (white arrows). c, Note the different orientation of the neovasculatures at the lesion site in Plxnb2 cKO mice, as compared to the concentric neovascular pattern in control at 7 dpi. Enlarged images of boxed area are shown on right. d, In control animal, by 7 dpi, pericytes (PDGFRβ+) had formed a ringed pattern at the injury site, in close alignment with IBA1+ cells and surrounded by CSPGs at the lesion penumbra, whereas in Plxnb2 cKO animal, pericytes had expanded their territories that mirrored the spatial disarray of IBA1+ cells, so were CSPGs. e, Note regression of capillaries at the injury site in control, but persistent engorged blood vessels in cKO animal at 14 dpi. White asterisks denote the lesion core. R-rostral; C-caudal; D-dorsal; V-ventral. Images from 2 (for d) or 3 (for b, c, and e) independent mice per genotype showed similar results.

Extended Data Fig. 6 Plexin-B2 in IAM is required for corralling and matrix reorganization after SCI.

a, Experimental scheme. Tamoxifen was injected from day 3 before until 2 weeks after SCI. (be) Representative IHC images of sagittal thoracic spinal cords at 14 dpi stained for the indicated genes show impaired corralling and matrix disorganization in Plxnb2 cKO mice after T8 contusion injury. Lesion site appeared enlarged and C1q widespread in cKO mice. White dashed lines denote lesion border. R-rostral; C-caudal; D-dorsal; V-ventral. For b, c, d and e, images obtained from 3 independent mice per genotype showed similar results.

Extended Data Fig. 7 Plexin-B2 in IAM is critical for corralling and injury resolution during the early phase of recovery from SCI.

a, Left, experimental scheme. Tamoxifen was injected from day 3 before until 3 weeks after SCI. Middle, images of sagittal section of thoracic spinal cords show confined Oil Red O staining in control but diffuse in Plexin-B2 cKO mice at 35 dpi. Quantifications are shown on the right, n=3 animals per group, unpaired two-tailed Students t-test, **p=0.0015. Graphs represent mean ± SEM. bd, IHC of sagittal thoracic spinal cords at 35 dpi stained for the indicated markers show impaired corralling and matrix disorganization in Plxnb2 cKO mice. b, White dashed lines denote lesion border. c, Note widespread CD68+ cells (white arrows) in Plxnb2 cKO mice at 35 dpi. Enlarged images of boxed areas are shown on the right. d, Note with this tamoxifen regimen, in Plxnb2 cKO mice at 35 dpi, re-expression of Plexin-B2 in newly infiltrated macrophages at the injury site, while microglia continue to have Plexin-B2 ablation (white arrowhead). R-rostral; C-caudal; D-dorsal; V-ventral. For b, c, and d, n=3 independent mice per genotype with similar results.

Extended Data Fig. 8 Sema4C knockout minimally impacts functional recovery and wound healing after SCI.

a, Top, experimental scheme. b, BMS scores during the 5 week recovery after T8 contusion injury demonstrate comparably functional recovery in Sema4C KO mice as compared to littermate controls. n=6 for control cohort, n=4 for cKO cohort. Two-way ANOVA with Bonferroni post hoc correction for repeated measures. n.s., p=0.72. Data represent mean ± SEM. c, Rotarod test showed a modest decrease of hindlimb and tail balance in Sema4C KO mice as compared to littermate controls (n=5 for control cohort, n=4 for cKO cohort). Unpaired two-tailed Student’s t test. For duration, *p=0.046; for speed, *p=0.046. Von Frey filament test showed no significant difference in tactile sensory function between genotypes (n=5 for control cohort, n=4 for cKO cohort). For each animal, left and right hindpaws measured separately. Unpaired two-tailed Student’s t test. p=0.79. Data represent mean ± SEM. d, IHC images of sagittal thoracic spinal cord at 35 dpi stained for the indicated markers show successfully corralling and wound compaction in both cohorts after T8 contusion injury. Images from 3 animals per genotype showed similar results. R-rostral; C-caudal; D-dorsal; V-ventral.

Supplementary information

Reporting Summary

Supplementary Video 1

Open-field BMS scoring for control animals. Open-field walking test for BMS scoring of control animals at 35 days post injury. Animals were scored for plantar placement, ankle movement, angle of hindlimbs, trunk stability and other parameters as outlined in the BMS guidelines as previously described. One representative movie from 12 independent animals is shown.

Supplementary Video 2

Open-field BMS scoring for Plxnb2 cKO animals. Open-field walking test for BMS scoring of a Plxnb2 cKO animals at 35 days post injury. One representative movie from 12 independent animals is shown.

Supplementary Video 3

Phagocytosis assay for control microglia. pHrodo Red Zymosan Bioparticles were added to a lawn of microglia isolated from _Cx3cr1_CreER/GFP_Plxnb2_fl/B mice without tamoxifen treatment (control). Microglia comparably phagocytosed the beads in the control and the cKO condition. IncuCyte time-lapse movies were acquired at 1-h intervals for a period of 24 h. n = 3 independent cultures per condition, and similar results were obtained.

Supplementary Video 4

Phagocytosis assay for Plxnb2 cKO microglia. pHrodo Red Zymosan Bioparticles were added to a lawn of microglia isolated from _Cx3cr1_CreER/GFP_Plxnb2_fl/B mice with tamoxifen treatment (cKO). Microglia comparably phagocytosed the beads in the control and the cKO condition. IncuCyte time-lapse movies were acquired at 1-h intervals for a period of 24 h. n = 3 independent cultures per condition, and similar results were obtained.

Supplementary Video 5

Cell motility for control microglia. Control microglia (GFP+) are highly motile. Primary microglia from the cortex of neonatal _Cx3cr1_CreER/GFP_Plxnb2_fl/B pups were collected and cultured. Cx3cr1-GFP+ microglia were overlaid on a lawn of Cx3cr1-GFP– neural cells (labeled with CellTracker Red). IncuCyte time-lapse movie was acquired at 30-min intervals for a duration of 5 days. Microglia motility (red line) was tracked using the MTrackJ plugin from ImageJ. n = 3 independent cultures showed similar results.

Supplementary Video 6

Cell motility for Plxnb2 cKO microglia. Plxnb2 cKO microglia (GFP+) tracked on a lawn of neural cells labeled with CellTracker Red, as in Supplementary Video 5. n = 3 independent cultures showed similar results.

Supplementary Video 7

CIL of control microglia. An IncuCyte time-lapse movie was acquired at 5-min time intervals over a period of 2 h. Only a 30-min clip is shown here. Cortical cultures were obtained from neonatal _Cx3cr1_CreER/GFP_Plxnb2_fl/B mice and were not treated with OHT (control). Microglia were visualized using Cx3cr1-GFP reporter labels. Control microglia retracted and moved away within 5 min of contact with other cell types. n = 3 independent cultures showed similar results.

Supplementary Video 8

CIL of Plxnb2 cKO microglia. An IncuCyte time-lapse movie was acquired at 5-min time intervals over a period of 2 h. Only a 30-min clip is shown here. Cortical cultures were obtained from neonatal _Cx3cr1_CreER/GFP_Plxnb2_fl/B mice and treated with OHT (Plxnb2 cKO). Microglia were visualized using a Cx3cr1-GFP reporter label. Mutant cKO microglia stayed longer in contact with other cells than in control conditions. n = 3 independent cultures showed similar results.

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Zhou, X., Wahane, S., Friedl, MS. et al. Microglia and macrophages promote corralling, wound compaction and recovery after spinal cord injury via Plexin-B2.Nat Neurosci 23, 337–350 (2020). https://doi.org/10.1038/s41593-020-0597-7

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