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Translation inhibition with CHX in mouse embryonic stem cells in bulk

GSE272056 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2024/08/05 Platform GPL30172
Summary
Gene-expression noise can influence cell-fate choices across pathology and physiology. However, a crucial question persists: do regulatory proteins or pathways exist that control noise independently of mean expression levels? Our integrative approach, combining single-cell RNA sequencing with proteomics and regulator enrichment analysis, reveals 32 putative noise regulators. The approach utilizes global translation inhibition (i.e., potential protein regulators), and single-cell RNA sequencing (scRNA-seq) to quantify the changes in noise of all transcripts (i.e., potential mRNA targets). This dataset corresponds to a control bulk RNAseq experiment experiment upon translation inhibition with cycloheximide to validate the changes in mean observed with single-cell.
Published in
Multimodal screen identifies noise-regulatory proteins
García-Blay Ó, Hu X, Wassermann CL et al. · Developmental cell 2025 · PMID 39406240 · doi:10.1016/j.devcel.2024.09.015
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Also filed as BioProject PRJNA1134767 and SRA study SRP519437. Searching any of these in the dataset finder brings you back here.

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