Dissecting key regulators of transcriptome kinetics through scalable single-cell RNA profiling of pooled CRISPR screens.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 37749268.
- Also identified by DOI 10.1038/s41587-023-01948-9 and PMC identifier 10961254.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
We present a combinatorial indexing method, PerturbSci-Kinetics, for capturing whole transcriptomes, nascent transcriptomes and single guide RNA (sgRNA) identities across hundreds of genetic perturbations at the single-cell level. Profiling a pooled CRISPR screen targeting various biological processes, we show the gene expression regulation during RNA synthesis, processing and degradation, miRNA biogenesis and mitochondrial mRNA processing, systematically decoding the genome-wide regulatory network that underlies RNA temporal dynamics at scale.
Medical subject headings
- Single-Cell Analysis
- Transcriptome