Pluto Bioinformatics

GSE114704: Transcriptional dissection by single-cell RNASeq analysis of the metastasis settings from a highly metastatic Patient-Derived Xenograft model of pancreatic ductal adenocarcinoma

Bulk RNA sequencing

Single cells were isolated from the main scenarios during tumor dissemination of a highly metastatic Patient-Derived Xenograft model (Panc-265) in order to discover potential therapeutic targets against the metastatic settings of PDAC. Primary tumor (n=37), liver metastasis (n=23) cells and circulating tumor cells (CTCs, n=10, in bloodstream) were subjected of single-cell RNAseq. Single-cell RNA sequencing analysis revealed that CTCs clustered separately from their matched primary and metastatic tumors and were characterized by low expression of ECM associated genes, high expression of cell cycle genes, a metabolic switch to oxidative phosphorylation and high expression of genes involved in ribosome biogenesis. SOURCE: Javier Perales-Paton (javier.perales@bioquant.uni-heidelberg.de) - Institute for Computational Biomedicine Heidelberg University