The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Treg cell-derived osteopontin promotes microglia-mediated white matter repair after ischemic stroke
Open accessAbstract
Summary: The precise mechanisms underlying the beneficial effects of regulatory T (Treg) cells on long-term tissue repair remain elusive. Here, using single-cell RNA sequencing and flow cytometry, we found that Treg cells infiltrated the brain 1–5 weeks after experimental stroke in mice. Selective depletion of Treg cells diminished oligodendrogenesis, white matter repair, and functional recovery after stroke. Transcriptomic analyses revealed potent immunomodulatory effects of brain-infiltrating Treg cells on other immune cells, including monocyte-lineage cells. Microglia depletion, but not T cell lymphopenia, mitigated the beneficial effects of transferred Treg cells on white matter regeneration. Mechanistically, Treg cell-derived osteopontin acted through integrin receptors on microglia to enhance microglial reparative activity, consequently promoting oligodendrogenesis and white matter repair. Increasing Treg cell numbers by delivering IL-2:IL-2 antibody complexes after stroke improved white matter integrity and rescued neurological functions over the long term. These findings reveal Treg cells as a neurorestorative target for stroke recovery.
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
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464
Szklarczyk, D., Gable, A. L., Lyon, D., Junge, A., Wyder, S., Huerta-Cepas, J., Simonovic, M., Doncheva, N. T., Morris, J. H., Bork, P., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1131 · Cited by 17,749
Comprehensive Integration of Single-Cell Data
Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W. M., Hao, Y., Stoeckius, M., Smibert, P., & Satija, R. (2019) · Cell · doi:10.1016/j.cell.2019.05.031 · Cited by 15,453
Mootha, V. K., Lindgren, C. M., Eriksson, K.-F., Subramanian, A., Sihag, S., Lehar, J., Puigserver, P., Carlsson, E., Ridderstråle, M., Laurila, E., et al. (2003) · Nature Genetics · doi:10.1038/ng1180 · Cited by 10,197
Causal analysis approaches in Ingenuity Pathway Analysis
Krämer, A., Green, J., Pollard, J., & Tugendreich, S. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt703 · Cited by 5,724
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
Morris water maze: procedures for assessing spatial and related forms of learning and memory
Vorhees, C. V., & Williams, M. T. (2006) · Nature Protocols · doi:10.1038/nprot.2006.116 · Cited by 4,629
Cited by
Interleukins and Ischemic Stroke
Zhu, H., Hu, S., Li, Y., Sun, Y., Xiong, X., Hu, X., Chen, J., & Qiu, S. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.828447 · Cited by 363
Self-citationInflammatory Responses After Ischemic Stroke
DeLong, J. H., Ohashi, S. N., O’Connor, K. C., & Sansing, L. H. (2022) · Seminars in Immunopathology · doi:10.1007/s00281-022-00943-7 · Cited by 319
Type-I-interferon-responsive microglia shape cortical development and behavior
Escoubas, C. C., Dorman, L. C., Nguyen, P. T., Lagares-Linares, C., Nakajo, H., Anderson, S. R., Barron, J. J., Wade, S. D., Cuevas, B., Vainchtein, I. D., et al. (2024) · Cell · doi:10.1016/j.cell.2024.02.020 · Cited by 179
Zeng, J., Bao, T., Yang, K., Zhu, X., Wang, S., Xiang, W., Ge, A., Zeng, L., & Ge, J. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1047550 · Cited by 175
Beyond the gut: decoding the gut–immune–brain axis in health and disease
Park, J. C., Chang, L., Kwon, H.-K., & Im, S.-H. (2025) · Cellular & Molecular Immunology · doi:10.1038/s41423-025-01333-3 · Cited by 149
Metadata
- Authors
- Shi, L., Sun, Z., Su, W., Xu, F., Xie, D., Zhang, Q., Dai, X., Iyer, K., Hitchens, T. K., Foley, L. M., Li, S., Stolz, D. B., Chen, K., Ding, Y., Thomson, A. W., Leak, R. K., Chen, J., & Hu, X.
- Venue
- Immunity
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 54
- Issue
- 7
- Pages
- 1527-1542.e8
- ISSN
- 1074-7613 (ISSN-L)
- OpenAlex
- W3163657510
- Cited by
- 422
- References
- 78
- FWCI
- 21.49
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Treg cell-derived osteopontin promotes microglia-mediated white matter repair after ischemic stroke. https://app.cochat.ai/papers/10.1016/j.immuni.2021.04.022
- The paper
- Shi, L., Sun, Z., Su, W., Xu, F., Xie, D., Zhang, Q., Dai, X., Iyer, K., Hitchens, T. K., Foley, L. M., Li, S., Stolz, D. B., Chen, K., Ding, Y., Thomson, A. W., Leak, R. K., Chen, J., & Hu, X. (2021). Treg cell-derived osteopontin promotes microglia-mediated white matter repair after ischemic stroke. Immunity. https://doi.org/10.1016/j.immuni.2021.04.022
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.
