Identification of a novel deeply quiescent neural stem cell population in the subventricular zone: a potential source for brain repair.

Overview

Authors: Arup R Nath¹, Sanskar Ranglani¹, Mohd Yaseen Malik¹, Jacek Szymanski¹, Anis Uz Zaman¹, Emmanouela Repapi², Roy Drissen³, Natalie M Doig^4,5, Peter J Magill^4,5, Claus Nerlov³, Liliana Minichiello¹

ORCID iDs: Sanskar Ranglani, Mohd Yaseen Malik, Claus Nerlov, Liliana Minichiello

Department of Pharmacology, University of Oxford, Oxford, UK
MRC Unit, Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
Medical Research Council Centre of Research Excellence in Restorative Neural Dynamics, Oxford, UK

Institutions: University of Oxford (United Kingdom); John Radcliffe Hospital (United Kingdom); MRC Weatherall Institute of Molecular Medicine (United Kingdom); MRC Molecular Haematology Unit; MRC Brain Network Dynamics Unit (United Kingdom); MRC Centre of Research Excellence in Restorative Neural Dynamics (United Kingdom); Medical Research Council (United Kingdom)

Journal: Cell discovery, volume 12, issue 1, article 52

Dates: received 12 December 2025; accepted 14 June 2026; published online 14 July 2026

Type: Letter · Language: English

License: CC BY

Identifiers: DOI 10.1038/s41421-026-00914-4 · PMID 42443150 · PMCID PMC13365591 · OpenAlex W7168124301

Open access: gold, a free copy (OpenAlex)

Status: data only

Categories: developmental (subfield)

Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning

Keywords: Stem cells, Neural stem cells

Topic: Neurogenesis and neuroplasticity mechanisms (Developmental Neuroscience, Neuroscience), according to OpenAlex

Funding: Lundbeckfonden (R455-2024-453); Commonwealth Scholarship Commission (CSC) (INCS-2019-225); Medical Research Council (MC_UU_00003/5, MR/W005166/1, MC_UU_12009/7); Biotechnology and Biological Sciences Research Council (BB/L021382/1); RCUK | Biotechnology and Biological Sciences Research Council (BB/L021382/1)

Citations: not cited yet (Europe PMC); 15 references in the paper

Abstract

No abstract was found for this paper: the paper, at the publisher.

Code

The paper links to its data, not to its authors' code: see the Data section.

The paper's code and data availability statement is in the Data section.

Tracing map

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Data

Datasets cited

geo:GSE311603, at NCBI GEO; found in “Data availability”

Data availability

The paper and Supplementary information contain all the data needed to evaluate this study’s conclusions. The corresponding author provides further details upon reasonable request. scRNA-seq data are deposited in GEO under the accession GSE311603 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE311603). Figure 1 b, e data were extracted from Dulken et al.8. This data pertains to a scRNA-seq atlas of the murine V-SVZ. No new codes were generated for the analysis presented here.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 11 authors, 2 keywords, 5 funders, 15 references.

Cite

This paper

Nath, A. R., Ranglani, S., Malik, M. Y., Szymanski, J., Zaman, A. U., Repapi, E., Drissen, R., Doig, N. M., Magill, P. J., Nerlov, C., & Minichiello, L. (2026). Identification of a novel deeply quiescent neural stem cell population in the subventricular zone: a potential source for brain repair. Cell discovery, 12(1), 52. https://doi.org/10.1038/s41421-026-00914-4

BibTeX

@article{nath2026identification, author = {Nath, Arup R and Ranglani, Sanskar and Malik, Mohd Yaseen and Szymanski, Jacek and Zaman, Anis Uz and Repapi, Emmanouela and Drissen, Roy and Doig, Natalie M and Magill, Peter J and Nerlov, Claus and Minichiello, Liliana}, title = {{Identification of a novel deeply quiescent neural stem cell population in the subventricular zone: a potential source for brain repair}}, journal = {Cell discovery}, year = {2026}, month = jul, volume = {12}, number = {1}, pages = {52}, publisher = {Nature Publishing Group}, issn = {2056-5968}, doi = {10.1038/s41421-026-00914-4}, url = {https://doi.org/10.1038/s41421-026-00914-4}, pmid = {42443150}, pmcid = {PMC13365591} }

RIS

TY - JOUR AU - Nath, Arup R AU - Ranglani, Sanskar AU - Malik, Mohd Yaseen AU - Szymanski, Jacek AU - Zaman, Anis Uz AU - Repapi, Emmanouela AU - Drissen, Roy AU - Doig, Natalie M AU - Magill, Peter J AU - Nerlov, Claus AU - Minichiello, Liliana TI - Identification of a novel deeply quiescent neural stem cell population in the subventricular zone: a potential source for brain repair T2 - Cell discovery J2 - Cell Discov PY - 2026 DA - 2026/07/14 VL - 12 IS - 1 SP - 52 SN - 2056-5968 PB - Nature Publishing Group DO - 10.1038/s41421-026-00914-4 UR - https://doi.org/10.1038/s41421-026-00914-4 LA - en ER -

CSL-JSON

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