The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Microglia-organized scar-free spinal cord repair in neonatal mice
Open accessAbstract
Spinal cord injury in mammals is thought to trigger scar formation with little regeneration of axons1–4. Here we show that a crush injury to the spinal cord in neonatal mice leads to scar-free healing that permits the growth of long projecting axons through the lesion. Depletion of microglia in neonatal mice disrupts this healing process and stalls the regrowth of axons, suggesting that microglia are critical for orchestrating the injury response. Using single-cell RNA sequencing and functional analyses, we find that neonatal microglia are transiently activated and have at least two key roles in scar-free healing. First, they transiently secrete fibronectin and its binding proteins to form bridges of extracellular matrix that ligate the severed ends of the spinal cord. Second, neonatal—but not adult—microglia express several extracellular and intracellular peptidase inhibitors, as well as other molecules that are involved in resolving inflammation. We transplanted either neonatal microglia or adult microglia treated with peptidase inhibitors into spinal cord lesions of adult mice, and found that both types of microglia significantly improved healing and axon regrowth. Together, our results reveal the cellular and molecular basis of the nearly complete recovery of neonatal mice after spinal cord injury, and suggest strategies that could be used to facilitate scar-free healing in the adult mammalian nervous system. In neonatal mice, scar-free healing after spinal cord injury is organized by microglia, and transplantation of neonatal microglia or peptidase-inhibitor-treated adult microglia into adult mice after injury improves healing and axon regrowth.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease
Keren-Shaul, H., Spinrad, A., Weiner, A., Matcovitch-Natan, O., Dvir-Szternfeld, R., Ulland, T. K., David, E., Baruch, K., Lara-Astaiso, D., Toth, B., et al. (2017) · Cell · doi:10.1016/j.cell.2017.05.018 · Cited by 5,493
Microglia Sculpt Postnatal Neural Circuits in an Activity and Complement-Dependent Manner
Schafer, D. P., Lehrman, E. K., Kautzman, A. G., Koyama, R., Mardinly, A. R., Yamasaki, R., Ransohoff, R. M., Greenberg, M. E., Barres, B. A., & Stevens, B. (2012) · Neuron · doi:10.1016/j.neuron.2012.03.026 · Cited by 4,089
Fate Mapping Reveals Origins and Dynamics of Monocytes and Tissue Macrophages under Homeostasis
Yona, S., Kim, K.-W., Wolf, Y., Mildner, A., Varol, D., Breker, M., Strauss-Ayali, D., Viukov, S., Guilliams, M., Misharin, A., et al. (2013) · Immunity · doi:10.1016/j.immuni.2012.12.001 · Cited by 3,245
Identification of a unique TGF-β–dependent molecular and functional signature in microglia
Butovsky, O., Jedrychowski, M. P., Moore, C. S., Cialic, R., Lanser, A. J., Gabriely, G., Koeglsperger, T., Dake, B., Wu, P. M., Doykan, C. E., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3599 · Cited by 2,543
Hammond, T. R., Dufort, C., Dissing-Olesen, L., Giera, S., Young, A., Wysoker, A., Walker, A. J., Segel, M., Nemesh, J., Saunders, A., et al. (2018) · doi:10.1101/406140 · Cited by 2,225
Elmore, M. R. P., Najafi, A. R., Koike, M. A., Dagher, N. N., Spangenberg, E. E., Rice, R. A., Kitazawa, M., Matusow, B., Nguyen, H., West, B. L., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.02.040 · Cited by 1,968
Tie2-Cre Transgenic Mice: A New Model for Endothelial Cell-Lineage Analysis in Vivo
Kisanuki, Y. Y., Hammer, R. E., Miyazaki, J.-I., Williams, S. C., Richardson, J. A., & Yanagisawa, M. (2001) · Developmental Biology · doi:10.1006/dbio.2000.0106 · Cited by 1,241
Buettner, F., Natarajan, K. N., Casale, F. P., Proserpio, V., Scialdone, A., Theis, F. J., Teichmann, S. A., Marioni, J. C., & Stegle, O. (2015) · Nature Biotechnology · doi:10.1038/nbt.3102 · Cited by 1,136
Li, Q., Cheng, Z., Zhou, L., Darmanis, S., Neff, N. F., Okamoto, J., Gulati, G., Bennett, M. L., Sun, L. O., Clarke, L. E., et al. (2019) · Neuron · doi:10.1016/j.neuron.2018.12.006 · Cited by 1,129
Single-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation
Jordão, M. J. C., Sankowski, R., Brendecke, S. M., Sagar, Locatelli, G., Tai, Y.-H., Tay, T. L., Schramm, E., Armbruster, S., Hagemeyer, N., et al. (2019) · Science · doi:10.1126/science.aat7554 · Cited by 843
Cited by
Regulation of axonal regeneration after mammalian spinal cord injury
Zheng, B., & Tuszynski, M. H. (2023) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00562-y · Cited by 328
An active vesicle priming machinery suppresses axon regeneration upon adult CNS injury
Hilton, B. J., Husch, A., Schaffran, B., Lin, T.-C., Burnside, E. R., Dupraz, S., Schelski, M., Kim, J., Müller, J. A., Schoch, S., et al. (2022) · Neuron · doi:10.1016/j.neuron.2021.10.007 · Cited by 116
Xia, Y., Zhu, J., Yang, R., Wang, H., Li, Y., & Fu, C. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1141601 · Cited by 87
Self-citationNicheformer: a foundation model for single-cell and spatial omics
Tejada-Lapuerta, A., Schaar, A. C., Gutgesell, R., Palla, G., Halle, L., Minaeva, M., Vornholz, L., Dony, L., Drummer, F., Richter, T., et al. (2025) · Nature Methods · doi:10.1038/s41592-025-02814-z · Cited by 100
Roy, D., & Tedeschi, A. (2021) · Cells · doi:10.3390/cells10051078 · Cited by 68
Metadata
- Authors
- Li, Y., He, X., Kawaguchi, R., Zhang, Y., Wang, Q., Monavarfeshani, A., Yang, Z., Chen, B., Shi, Z., Meng, H., Zhou, S., Zhu, J., Jacobi, A., Swarup, V., Popovich, P. G., Geschwind, D. H., & He, Z.
- Venue
- Nature
- Published
- 2020-10-07
- Volume
- 587
- Issue
- 7835
- Pages
- 613-618
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W3092538588
- Cited by
- 429
- References
- 12
- FWCI
- 25.75
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Microglia-organized scar-free spinal cord repair in neonatal mice. https://app.cochat.ai/papers/10.1038/s41586-020-2795-6
- The paper
- Li, Y., He, X., Kawaguchi, R., Zhang, Y., Wang, Q., Monavarfeshani, A., Yang, Z., Chen, B., Shi, Z., Meng, H., Zhou, S., Zhu, J., Jacobi, A., Swarup, V., Popovich, P. G., Geschwind, D. H., & He, Z. (2020). Microglia-organized scar-free spinal cord repair in neonatal mice. Nature. https://doi.org/10.1038/s41586-020-2795-6
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
