{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Txt":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE315nnn/GSE315534/suppl/filelist.txt"],"Raw":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE315nnn/GSE315534/suppl/GSE315534_RAW.tar"],"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE315nnn/GSE315534/"]},"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=GSE315534"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Single-cell RNA sequencing of primary colorectal cancer, matched adjacent normal tissues, and paired liver metastases","description":"This study will perform single-cell RNA sequencing on primary tumor tissues (T) and matched adjacent non-tumor tissues (N) from six colorectal cancer patients, along with paired liver metastatic lesions (M) from three of these patients, to construct an integrated single-cell atlas spanning primary tumors, adjacent normal tissues, and distant metastases. This multi-region, patient-matched design enables systematic dissection of cellular heterogeneity, dynamic immune responses, and key molecular mechanisms driving metastasis in colorectal cancer.","dates":{"publication":"2026/04/02"},"accession":"GSE315534","cross_references":{"GSM":["GSM9430358","GSM9430357","GSM9430359","GSM9430365","GSM9430354","GSM9430353","GSM9430364","GSM9430356","GSM9430355","GSM9430366","GSM9430361","GSM9430360","GSM9430352","GSM9430363","GSM9430362"],"GPL":["24676"],"GSE":["315534"],"taxon":["Homo sapiens"]}}