<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/GSE341nnn/GSE341101/</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=GSE341101</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>scRNA-sequencing of gastric tissues derived from eight inflamed-type and eight desert-type tumors</name><description>This study reports single-cell RNA sequencing (scRNA-seq) data from 16 human gastric cancer tumor samples. The cohort includes 8 immune-inflamed-type and 8 immune-desert-type tumors, aiming to characterize the cellular and transcriptomic landscapes associated with distinct immune phenotypes in gastric cancer. The dataset provides high-resolution profiles of tumor and immune cell states, enabling the investigation of epithelial-intrinsic regulators and cell-type-specific programs regulating immune desertification.</description><dates><publication>2026/07/31</publication></dates><accession>GSE341101</accession><cross_references><GSM>GSM9899944</GSM><GSM>GSM9899955</GSM><GSM>GSM9899954</GSM><GSM>GSM9899943</GSM><GSM>GSM9899957</GSM><GSM>GSM9899946</GSM><GSM>GSM9899956</GSM><GSM>GSM9899945</GSM><GSM>GSM9899948</GSM><GSM>GSM9899947</GSM><GSM>GSM9899958</GSM><GSM>GSM9899949</GSM><GSM>GSM9899951</GSM><GSM>GSM9899950</GSM><GSM>GSM9899953</GSM><GSM>GSM9899952</GSM><GPL>24676</GPL><GSE>341101</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>