<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/GSE305nnn/GSE305932/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE305932</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>CRISPR Screening to Investigate Stem Cell-Derived Islets</name><description>Genetically engineering human pluripotent stem cell (hPSC)-derived islets is a promising strategy for improving transplantation for diabetes cell therapy. However, genetic perturbations for improving transplantation efficacy have yet to be elucidated. To identify potential targets, we performed an unbiased whole-genome CRISPR-activation screen in transplanted stem cell-derived islets (SC-islets). We first created a stem cell line with CRISPR-activation components (HUES8-VPR). We transduced the HUES8-VPR stem cells with a lentiviral guide RNA library targeting the whole human genome. These transduced stem cells were differentiated into SC-islets, transplanted into NOD.Cg-PrkdcscidIl2rgtm1Wjl/SzJ (NSG) immunodeficient mice, and then extracted for next-generation sequencing. The screen identified multiple candidates, including the Fc alpha/mu receptor (FCAMR). In vitro characterization revealed that FCAMR overexpression did not negatively affect SC-islet function or transcriptomic identity. Mice transplanted with SC-islets overexpressing FCAMR had increased blood glucose levels and increased cpeptide compared to controls. Furthermore, mice receiving FCAMR-modified grafts maintained a higher body weight compared to controls in a diabetic setting. Our study utilizes a screening approach to identify potential candidates for improving SC-islet therapies.</description><dates><publication>2026/05/20</publication></dates><accession>GSE305932</accession><cross_references><GSM>GSM9188175</GSM><GSM>GSM9188176</GSM><GPL>34284</GPL><GSE>305932</GSE><taxon>Homo sapiens</taxon><PMID>[41886504]</PMID></cross_references></HashMap>