{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE316nnn/GSE316051/"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"omics_type":["Transcriptomics"],"species":["Mus musculus"],"gds_type":["Expression profiling by high throughput sequencing"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE316051"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"To screen the epigentic facters' effect on mESC state transition, Naïve state, Primed state.","description":"The transcriptional and epigenetic status restricts the self-renewal ability and lineage specificity of the naïve and primed mouse embryonic stem cells (mESC). CRISPR/Cas9-based functional screening coupled with single cell RNA-seq (CROP-seq) establishes relationships between gRNA-mediated knockout genotypes and transcriptome phenotypes, and is a novel tool to unravel gene regulatory networks. Here, we used CROP-seq approach to dissect the transcriptional and epigenetic regulation of the pluripotency network in mESCs.","dates":{"publication":"2026/08/19"},"accession":"GSE316051","cross_references":{"GSM":["GSM9443799","GSM9443800","GSM9443795","GSM9443796","GSM9443797","GSM9443798","GSM9443793","GSM9443794"],"GPL":["24247"],"GSE":["316051"],"taxon":["Mus musculus"],"PMID":["[42462715]"]}}