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Parallel genome-scale CRISPR-Cas9 screens uncouple human pluripotent stem cell identity versus fitness [bulk RNA-seq]

GSE277070 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2024/09/12 Platform GPL20301
Summary
Pluripotent stem cells are defined by their self-renewal capacity, which is the ability of the stem cells to proliferate indefinitely while maintaining the pluripotent identity essential for their ability to differentiate into any somatic cell lineage. However, understanding the mechanisms that control stem cell fitness versus the pluripotent cell identity is challenging. To investigate the interplay between these two aspects of pluripotency, we performed four parallel genome-scale CRISPR-Cas9 loss-of-function screens interrogating stem cell fitness in hPSC self-renewal conditions, and the dissolution of the primed pluripotency identity during early differentiation. Comparative analyses led to the discovery of genes with distinct roles in pluripotency regulation, including mitochondrial and metabolism regulators crucial for stem cell fitness, and chromatin regulators that control pluripotent identity during early differentiation. We further discovered a core set of factors that control both stem cell fitness and pluripotent identity, including a network of chromatin factors that safeguard pluripotency. Our unbiased and systematic screening and comparative analyses disentangle two interconnected aspects of pluripotency, provide rich datasets for exploring pluripotent cell identity versus cell fitness, and offer a valuable model for categorizing gene function in broad biological contexts.
Published in
Parallel genome-scale CRISPR-Cas9 screens uncouple human pluripotent stem cell identity versus fitness
Rosen BP, Li QV, Cho HS et al. · Nature communications 2024 · PMID 39419994 · doi:10.1038/s41467-024-53284-4
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Direct links to NCBI, no account and no request form: the whole study as GSE277070_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1160318 and SRA study SRP532386. Searching any of these in the dataset finder brings you back here.

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