<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE328nnn/GSE328830/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Other</omics_type><species>Homo sapiens</species><gds_type>Other</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE328830</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Temporal control of sgRNA library activation unlocks large-scale in vivo CRISPR screens</name><description>Functional genomics screens have revealed cancer gene dependencies, but cell culture misses vulnerabilities driven by the tumor microenvironment. We implemented CRISPR-StAR (Stochastic Activation by Recombination), an inducible pooled screening system that activates gene knockout after tumor engraftment and provides matched internal controls for guide-level normalization. Using barcode-embedded sequencing and Bayesian analysis, we screened a 30,000-sgRNA library in A549 xenografts and achieved reproducible dropout and enrichment phenotypes using just ~30 tumors. Across additional xenograft models, single tumors yielded reliable functional annotation for ~1,000 genes leveraging within-tumor normalization. Comparing in vivo and in vitro screens uncovered tumor-suppressor effects detectable only in vivo; for example KMT2C and KMT2D knockouts produced contrasting tumor growth and transcriptional programs. Together with our R analysis package, CRISPR-StAR enables scalable in vivo dependency mapping that complements in vitro resources and reduces animal use up to sevenfold versus conventional dropout screens, improving overall methodological rigor at genome-scale clonal resolution.</description><dates><publication>2026/04/29</publication></dates><accession>GSE328830</accession><cross_references><GSM>GSM9690411</GSM><GSM>GSM9690415</GSM><GSM>GSM9690414</GSM><GSM>GSM9690413</GSM><GSM>GSM9690412</GSM><GSM>GSM9690418</GSM><GSM>GSM9690417</GSM><GSM>GSM9690416</GSM><GPL>30173</GPL><GSE>328830</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>