<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/GSE330nnn/GSE330797/</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=GSE330797</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Single-cell transcriptomics analysis of colorectal cancer (CRC)</name><description>Understanding cellular processes underlying colorectal cancer (CRC) development is needed to devise intervention strategies. Here, we performed single-cell RNA sequencing (scRNA-seq) of human treatment-naive colorectal cancer.</description><dates><publication>2026/06/15</publication></dates><accession>GSE330797</accession><cross_references><GSM>GSM9732963</GSM><GSM>GSM9732960</GSM><GSM>GSM9732961</GSM><GSM>GSM9732962</GSM><GPL>24676</GPL><GSE>330797</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>