<HashMap><database>biostudies-literature</database><scores/><additional><submitter>O'Connor SA</submitter><funding>National Institute of Neurological Disorders and Stroke</funding><funding>Pew Charitable Trusts</funding><funding>National Cancer Institute</funding><funding>NCI NIH HHS</funding><funding>NINDS NIH HHS</funding><funding>Armed Forces Research Institute of Medical Sciences</funding><pagination>e9522</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8186478</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>17(6)</volume><pubmed_abstract>Single-cell RNA sequencing has emerged as a powerful tool for resolving cellular states associated with normal and maligned developmental processes. Here, we used scRNA-seq to examine the cell cycle states of expanding human neural stem cells (hNSCs). From these data, we constructed a cell cycle classifier that identifies traditional cell cycle phases and a putative quiescent-like state in neuroepithelial-derived cell types during mammalian neurogenesis and in gliomas. The Neural G0 markers are enriched with quiescent NSC genes and other neurodevelopmental markers found in non-dividing neural progenitors. Putative glioblastoma stem-like cells were significantly enriched in the Neural G0 cell population. Neural G0 cell populations and gene expression are significantly associated with less a</pubmed_abstract><journal>Molecular systems biology</journal><pubmed_title>Neural G0: a quiescent-like state found in neuroepithelial-derived cells and glioma.</pubmed_title><pmcid>PMC8186478</pmcid><funding_grant_id>T32CA080416</funding_grant_id><funding_grant_id>T32 CA009657</funding_grant_id><funding_grant_id>R21 CA232244</funding_grant_id><funding_grant_id>P30 CA015704</funding_grant_id><funding_grant_id>P30CA15704</funding_grant_id><funding_grant_id>T32 CA080416</funding_grant_id><funding_grant_id>R21CA170722</funding_grant_id><funding_grant_id>5R21CA232244</funding_grant_id><funding_grant_id>R21 CA170722</funding_grant_id><funding_grant_id>CA100735</funding_grant_id><funding_grant_id>R01 NS119650</funding_grant_id><funding_grant_id>R01NS119650</funding_grant_id><funding_grant_id>R01 CA190957</funding_grant_id><funding_grant_id>R01CA190957</funding_grant_id><pubmed_authors>Patel A</pubmed_authors><pubmed_authors>Corrin P</pubmed_authors><pubmed_authors>Hoellerbauer P</pubmed_authors><pubmed_authors>O'Connor SA</pubmed_authors><pubmed_authors>Basom R</pubmed_authors><pubmed_authors>Feldman HM</pubmed_authors><pubmed_authors>Arora S</pubmed_authors><pubmed_authors>Toledo CM</pubmed_authors><pubmed_authors>Kufeld M</pubmed_authors><pubmed_authors>Delrow J</pubmed_authors><pubmed_authors>Trapnell C</pubmed_authors><pubmed_authors>Paddison PJ</pubmed_authors><pubmed_authors>Plaisier CL</pubmed_authors><pubmed_authors>McFaline-Figueroa JL</pubmed_authors><pubmed_authors>Carter L</pubmed_authors><pubmed_authors>Bolouri H</pubmed_authors><pubmed_authors>Pollard SM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Neural G0: a quiescent-like state found in neuroepithelial-derived cells and glioma.</name><description>Single-cell RNA sequencing has emerged as a powerful tool for resolving cellular states associated with normal and maligned developmental processes. Here, we used scRNA-seq to examine the cell cycle states of expanding human neural stem cells (hNSCs). From these data, we constructed a cell cycle classifier that identifies traditional cell cycle phases and a putative quiescent-like state in neuroepithelial-derived cell types during mammalian neurogenesis and in gliomas. The Neural G0 markers are enriched with quiescent NSC genes and other neurodevelopmental markers found in non-dividing neural progenitors. Putative glioblastoma stem-like cells were significantly enriched in the Neural G0 cell population. Neural G0 cell populations and gene expression are significantly associated with less a</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Jun</publication><modification>2026-05-09T06:46:43.739Z</modification><creation>2022-02-10T15:02:52.044Z</creation></dates><accession>S-EPMC8186478</accession><cross_references><pubmed>34101353</pubmed><doi>10.15252/msb.20209522</doi></cross_references></HashMap>