Project description:Needle biopsies were performed to obtain liver samples from patients for clinical purposes from patients with Alagille syndrome. A small portion was snap frozen and later used for RNA sequencing analysis. Needle biospies from 5 patients with other liver disorders were included as controls.
Project description:PURPOSE: To develop an index capable of detecting and quantifying the extent of liver RNA contamination in liver biopsies of metastatic breast cancer METHODS: We developed a microarray-based gene expression liver index by comparing the expression levels of genes in liver tissue biopsies and in primary breast cancer biopsies. The predictive performance of the index was then evaluated in defined mixtures of liver and breast cancer RNA. A calibration curve was established to allow estimation of the liver RNA content in unknown metastatic breast cancer samples.
Project description:A cohort of age-matched mice (eIF6+/+ and eIF6+/-) were fed with High-Fat Diet. All experimental mice were sacrificed after 16 weeks and the livers were recovered. RNA was isolated from liver biopsies of eIF6+/+ and eIF6+/- mice and RNAseq analysis was performed. The aim of the analysis is the investigation of the transcriptional changes driven by chronic depletion of eIF6 in the liver of mice upon High Fat Diet (HFD) feeding.
Project description:The French ICGC project on liver tumors is coordinated by Pr Jessica Zucman-Rossi and funded by Inca (French Institute for Cancer). The aim of the present project is to identify the catalog of somatic and germline mutations in liver tumors using whole genome (WGS) and whole exome sequencing (WGS), integrated with DNA methylation and RNA sequencing (RNA-seq) data. The present series corresponds to 161 RNA-seq samples from tumors with matched WES or WGS. Hepatocellular carcinoma (HCC) accounts for more than 90% of liver cancers, and is a major health problem. It is the 3rd cause of cancer-related mortality. Advances in genomic analyses have formed a comprehensive understanding of different underlying pathobiological layers resulting in hepatocarcinogenesis. Thus, the development of next-generation sequencing technologies has made it possible to generate more comprehensive catalogues of somatic alteration events (single nucleotide substitutions, structural variations, and epigenetic changes) in liver cancer genome than ever before.
