<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/GSE328481/</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=GSE328481</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Uncovering ectopic GC-like niches for tumor reactive lymphocyte priming in lung adenocarcinoma using Stereo-XCR-seq</name><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&amp;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.</description><dates><publication>2026/05/29</publication></dates><accession>GSE328481</accession><cross_references><GSM>GSM9684207</GSM><GSM>GSM9684206</GSM><GSM>GSM9684216</GSM><GSM>GSM9684215</GSM><GSM>GSM9684214</GSM><GSM>GSM9684213</GSM><GSM>GSM9684212</GSM><GSM>GSM9684211</GSM><GSM>GSM9684210</GSM><GSM>GSM9684209</GSM><GSM>GSM9684208</GSM><GPL>29480</GPL><GSE>328481</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>