{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE328nnn/GSE328481/"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"omics_type":["Other"],"species":["Homo sapiens"],"gds_type":["Other"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE328481"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Uncovering ectopic GC-like niches for tumor reactive lymphocyte priming in lung adenocarcinoma using Stereo-XCR-seq","description":"This experiment aims to dissect the spatial immune microenvironment of lung cancer by performing Stereo-XCR-seq on fresh-frozen tumor tissues. First, we conduct rigorous sample quality control, perform serial tissue sectioning, use H&E staining for morphological validation, and capture mRNA in situ on Stereo-seq chips. Subsequently, we enrich TCR and BCR transcripts from the constructed Stereo-seq libraries using our in-house developed sscirPCR strategy, via nested PCR-mediated ligating element addition, splint oligo-induced circularization, and two-round specific PCR amplification, enabling the spatial mapping of lymphocyte clonal dynamics within the tumor tissue to uncover immune evasion mechanisms and inform immunotherapeutic strategies.","dates":{"publication":"2026/05/29"},"accession":"GSE328481","cross_references":{"GSM":["GSM9684207","GSM9684206","GSM9684216","GSM9684215","GSM9684214","GSM9684213","GSM9684212","GSM9684211","GSM9684210","GSM9684209","GSM9684208"],"GPL":["29480"],"GSE":["328481"],"taxon":["Homo sapiens"]}}