{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE314nnn/GSE314863/"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"omics_type":["Transcriptomics"],"species":["Homo sapiens"],"gds_type":["Expression profiling by high throughput sequencing"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE314863"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Repertoire FLEX (REFLEX) Enables High-Throughput Multiomic scRNAseq with AIR Detection","description":"Profiling the vast diversity of the T-cell repertoire at single-cell resolution is challenging due to the scale and cost requirements involved. Current technologies capture TCR or perform single-cell sequencing at scale but struggle to combine both. Here, we utilize both neat and virally stimulated PBMCs to showcase “REFLEX”, a technological approach enabling highly scalable, low cost-per-cell profiling of TCR repertoire in parallel with epitope and gene expression. This combination of capabilities allows for high throughput, multi-omic profiling of rare T cell subsets and longitudinal study formats at scales that were previously unattainable.","dates":{"publication":"2026/06/30"},"accession":"GSE314863","cross_references":{"GSM":["GSM9414651","GSM9414650","GSM9414655","GSM9414654","GSM9414653","GSM9414652","GSM9414659","GSM9414658","GSM9414657","GSM9414656","GSM9414662","GSM9414661","GSM9414660","GSM9414666","GSM9414665","GSM9414664","GSM9414663","GSM9414548","GSM9414549","GSM9414669","GSM9414668","GSM9414667","GSM9414547","GSM9414551","GSM9414673","GSM9414672","GSM9414552","GSM9414671","GSM9414550","GSM9414670","GSM9414555","GSM9414556","GSM9414553","GSM9414554","GSM9414559","GSM9414557","GSM9414558","GSM9414562","GSM9414563","GSM9414560","GSM9414561","GSM9414600","GSM9414566","GSM9414567","GSM9414564","GSM9414565","GSM9414604","GSM9414603","GSM9414602","GSM9414568","GSM9414601","GSM9414569","GSM9414608","GSM9414607","GSM9414606","GSM9414605","GSM9414573","GSM9414574","GSM9414571","GSM9414572","GSM9414611","GSM9414577","GSM9414610","GSM9414578","GSM9414575","GSM9414576","GSM9414615","GSM9414614","GSM9414579","GSM9414613","GSM9414612","GSM9414619","GSM9414618","GSM9414617","GSM9414616","GSM9414609","GSM9414570","GSM9414584","GSM9414585","GSM9414582","GSM9414583","GSM9414622","GSM9414588","GSM9414621","GSM9414589","GSM9414620","GSM9414586","GSM9414587","GSM9414626","GSM9414625","GSM9414624","GSM9414623","GSM9414629","GSM9414628","GSM9414627","GSM9414580","GSM9414581","GSM9414595","GSM9414596","GSM9414593","GSM9414594","GSM9414599","GSM9414633","GSM9414632","GSM9414631","GSM9414597","GSM9414630","GSM9414598","GSM9414637","GSM9414636","GSM9414635","GSM9414634","GSM9414639","GSM9414638","GSM9414591","GSM9414592","GSM9414590","GSM9414640","GSM9414644","GSM9414643","GSM9414642","GSM9414641","GSM9414648","GSM9414647","GSM9414646","GSM9414645","GSM9414649"],"GPL":["30173","34281"],"GSE":["314863"],"taxon":["Homo sapiens"]}}