Protocol to analyse changes in hippocampal neural stem cell quiescence from single-cell RNA-sequencing data

UPDATED DEPOSITION - 30-Sep-2025Deposition of code for protocols paper. Summary: This protocol describes computational approaches to isolate mouse hippocampal neural stem cells from single-cell RNA-sequencing datasets, overcoming challenges distinguishing quiescent neural stem cells from astrocytes and proliferating neural stem cells from progenitor cells. We describe how to analyse whether a perturbation affects quiescence depth. Major steps include sequential reclustering, pseudotime trajectory analysis and statistical testing of distribution shifts from deep to shallow quiescence.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.17230078
Primary Topic
COVID-19 impact on air quality
Type
article
Field-Weighted Citation Impact
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article

Protocol to analyse changes in hippocampal neural stem cell quiescence from single-cell RNA-sequencing data

Zenodo (CERN European Organization for Nuclear Research)
COVID-19 impact on air quality
article

Protocol to analyse changes in hippocampal neural stem cell quiescence from single-cell RNA-sequencing data

article en

Abstract

UPDATED DEPOSITION - 30-Sep-2025Deposition of code for protocols paper. Summary: This protocol describes computational approaches to isolate mouse hippocampal neural stem cells from single-cell RNA-sequencing datasets, overcoming challenges distinguishing quiescent neural stem cells from astrocytes and proliferating neural stem cells from progenitor cells. We describe how to analyse whether a perturbation affects quiescence depth. Major steps include sequential reclustering, pseudotime trajectory analysis and statistical testing of distribution shifts from deep to shallow quiescence.

Zenodo (CERN European Organization for Nuclear Research)
QIMR Berghofer Medical Research Institute (AU)
Openalex Percentile: Top 48%
COVID-19 impact on air quality
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