GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE326nnn/GSE326201/primaryOK200TranscriptomicsHomo sapiensExpression profiling by high throughput sequencinghttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE326201GEOGSEfalseSingle-cell RNA sequencing of human hepatocellular carcinoma and adjacent non-tumour liver tissues reveals etiology-associated and etiology-independent tumour microenvironmental featuresHepatocellular carcinoma (HCC) arises in the context of diverse aetiological backgrounds, yet the extent to which the tumour microenvironment is shaped by aetiology-associated versus aetiology-independent programmes remains incompletely understood. This dataset was generated to support interrogation of the cellular architecture of human HCC and the surrounding liver microenvironment at single-cell resolution. By profiling tumour and adjacent non-tumour liver tissues, the study provides a resource for examining malignant, immune, stromal, and hepatic parenchymal cell populations, and for investigating shared and aetiology-linked features of the HCC tumour microenvironment.2026/05/27GSE326201GSM9625183GSM9625172GSM9625171GSM9625182GSM9625170GSM9625181GSM9625180GSM9625176GSM9625175GSM9625185GSM9625174GSM9625173GSM9625184GSM9625169GSM9625168GSM9625179GSM9625178GSM962517724676326201Homo sapiens