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

Deposition of code for protocols paper. Summary: This protocol describes computational approaches to isolate hippocampal neural stem cells from single-cell RNA-sequencing datasets, overcoming challenges associated with distinguishing quiescent neural stem cells from astrocytes, as well as proliferating neural stem cells from other proliferative progenitor cells. We also describe how to analyse whether a perturbation has affected the depth of quiescence at a population level. Major steps include marker-based classification of neurogenic clusters, sequential reclustering, pseudotime trajectory analysis of quiescent neural stem cells, and statistical testing of differences in the distribution of these cells from deep to shallow quiescence.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-15
DOI
https://doi.org/10.5281/zenodo.15644632
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Zenodo (CERN European Organization for Nuclear Research)
Electric Motor Design and Analysis
article

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

article en

Abstract

Deposition of code for protocols paper. Summary: This protocol describes computational approaches to isolate hippocampal neural stem cells from single-cell RNA-sequencing datasets, overcoming challenges associated with distinguishing quiescent neural stem cells from astrocytes, as well as proliferating neural stem cells from other proliferative progenitor cells. We also describe how to analyse whether a perturbation has affected the depth of quiescence at a population level. Major steps include marker-based classification of neurogenic clusters, sequential reclustering, pseudotime trajectory analysis of quiescent neural stem cells, and statistical testing of differences in the distribution of these cells from deep to shallow quiescence.

Zenodo (CERN European Organization for Nuclear Research)
QIMR Berghofer Medical Research Institute (AU)
Openalex Percentile: Top 57%
Electric Motor Design and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.