Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcriptional Response to transgenic BRAF(V600E) in the intestinal epithelium

ABSTRACT: BRAF(V600E) is a frequent mutation in colon cancer. We have analysed transcriptional effects of BRAF(V600E) in the intestinal epithelium of transgenic mice that harbour an inducible BRAF(V600E) transgene. Mice used in this experiment were compound transgenic for a stem-cell specific Lgr5-EGFP Reporter and either an inducible TdTomato-2A-BRAF(V600E) transgene or an inducibe TdTomato-luciferase transgene. Transgenes were induced by doxycycline (4mg/ml) treatment provided in a 1% sucrose solution in the drinking water of transgenic mice for 24h. Intestinal crypts were isolated by filtering (70um) following a PBS/EDTA incubation step. Single cell suspensions were made by digestion of crypts in 500ug/ml trypsine and 0.8u/ml DNAseI for approx. 20min at RT. Cell populations for profiling were isolated by FACS, using an Aria SOPR (BD), equipped with a 70um nozzle.

ORGANISM(S): Mus musculus

SUBMITTER: Markus Morkel

PROVIDER: E-GEOD-50678 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:High-grade serous ovarian cancer (HGSOC) exhibits significant genomic heterogeneity within a patient at presentation. Recent work has suggested that this heterogeneity is linked to the development of resistance and disease progression in that chemotherapy selects for minor resistant subclones embodied in presentation disease leading to short progression-free survival and resistant relapse. Cell line models support this by showing that relapse is not an immediate descendant of presentation disease, but so far no immediate clinical evidence has been provided that convincingly demonstrates the origin of relapse. It is further still unclear what evolutionary processes shape the mutational landscape of HGSOC in vivo and to what extent the degree of genomic heterogeneity impacts a patient's clinical outcome. We address these questions by inferring evolutionary trees of metastatic disease from structural variations between 138 cancer samples obtained from 17 patients undergoing neoadjuvant chemotherapy for HGSOC. Using novel phylogenetic methods, we quantify genomic changes in the course of chemotherapy and the degree of clonal expansion and show that these indices determine patient outcome with high accuracy. We demonstrate that relapse is indeed a minor subclone of presentation disease by verifying that the focal NF1 deletion of a relapse case was already present at biopsy. By leveraging the information contained in the evolutionary trees, we unveil the etiology of genetic heterogeneity and the tumorigenic potential of HGSOC cell populations. This is the first comprehensive study showing the origin, strength and effect of genetic heterogeneity in HGSOC in a clinical setting. In addition to its immediate clinical significance, it strengthens previous statements that single sample biopsies are seemingly insufficient to predict disease progression and stresses the importance of establishing multiple sampling as a routine approach in the clinic. Clinical data and tissue samples were collected on the prospective CTCR-OV03 and CTCR-OV04 clinical studies designed to identify biomarkers of heterogeneity.

Dataset Information

Transcriptional Response to transgenic BRAF(V600E) in the intestinal epithelium

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets