Transcriptomics

Dataset Information

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Perturb-seq: Dissecting molecular circuits with scalable single cell RNA profiling of pooled genetic screens


ABSTRACT: Methods: We create a CRISPR vector containing a polyadenylated RNA barcode and couple it with droplet scRNA-seq to get a large scale transcriptional measurements of perturbations Results: We were able to perform regulatory inference of gene function, observe nonlinear interactions, and perform downsampling analysis to show that gene signature effects can be seen with as few as 10's of cells while gene level phenotypes, depending on effects size would require 100's of cells Conclusion: Perturb-seq presents a scalable paradigm for obtaining rich genomic profiles of perturbations

OTHER RELATED OMICS DATASETS IN: PRJNA354362

ORGANISM(S): Mus musculus Homo sapiens

PROVIDER: GSE90063 | GEO | 2016/12/16

SECONDARY ACCESSION(S): PRJNA354362

REPOSITORIES: GEO

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