{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE328nnn/GSE328422/"]},"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=GSE328422"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Spatio-temporal mapping of immune cell dynamics during human sequential lymph node metastasis","description":"Regional lymph node metastasis critically influences distant metastatic progression, anti-tumour immunity, and patient prognosis. This study systematically characterised immune cell dynamics across paired primary tumours, sentinel tumour-draining lymph nodes (S-TDLNs), and secondary axillary lymph nodes (ALNs) from treatment-naïve triple-negative breast cancer (TNBC) patients using integrated multi-omics approaches, including imaging mass cytometry, single-cell RNA sequencing, Visium and Xenium spatial transcriptomics, and multiplex immunofluorescence. Xenium profiling was performed on FFPE lymph node sections spanning different metastatic stages to resolve high-resolution spatial organisation, neighbourhood complexity, and immune cell co-localisation during sequential lymph node metastasis.","dates":{"publication":"2026/06/27"},"accession":"GSE328422","cross_references":{"GSM":["GSM9682589","GSM9682594","GSM9682592","GSM9682593","GSM9682590","GSM9682591"],"GPL":["33762"],"GSE":["328422"],"taxon":["Homo sapiens"]}}