Genomics

Dataset Information

0

Single-cell bottlenecks and dead-ends during glioma premalignancy


ABSTRACT: Glial brain tumors are composed of diverse cell types whose origins are just beginning to be unraveled. The final cellular composition of a fulminant glioma could be very different from the regulatory adaptations needed, or attempted, to establish the tumor ecosystem from an originating mutant. Using a genetically engineered mouse model that combines inducible Nf1?Trp53 loss with lineage tracing, we measured bulk and subpopulation transcriptomes during early gliomagenesis in oligodendrocyte precursor cells (OPCs). Large populations or small pools of labeled OPCs were isolated directly from their niches by laser-capture microdissection and profiled by RNA sequencing. The bulk transcriptomes of frank gliomas had relatively little in common with age-matched OPCs, but we detected generic adaptations to tumor-suppressor loss shortly after induced Nf1?Trp53 deletion. The diversity of OPCs targeted for deletion was uncovered by a stochasticprofiling fluctuation analysis of 10-cell measurements that revealed a spectrum of stem-progenitor, proneural, and mesenchymal states. Months after Nf1?Trp53 deletion, bulk differences were difficult to detect reliably, as the 10-cell data indicated several mixed-lineage states, including those not previously documented in glioma that likely marked dead-end niches. In addition, we identified a group of mutant cells devoid of conventional lineage markers, which abundantly expressed key effectors of nonsense-mediated decay and homologydependent DNA repair. In Trp53-null OPCs driven to proliferate by Nf1 deletion, ?productive? (i.e., tumorigenic) niche formation and resolution of replication stress stand out as predicted bottlenecks for glioma initiation.

ORGANISM(S): Mus musculus

PROVIDER: GSE147360 | GEO | 2021/01/05

REPOSITORIES: GEO

Similar Datasets

2014-09-09 | E-GEOD-61282 | biostudies-arrayexpress
2018-07-21 | GSE95093 | GEO
2014-09-09 | GSE61282 | GEO
2023-08-12 | GSE240223 | GEO
2023-08-12 | GSE240222 | GEO
2011-07-01 | E-GEOD-26676 | biostudies-arrayexpress
2015-05-28 | E-GEOD-69254 | biostudies-arrayexpress
2015-05-28 | GSE69254 | GEO
2023-08-16 | GSE224727 | GEO
2017-06-30 | GSE91050 | GEO