Project description:We profiled CRC organoids engineered with different combinations of driver mutations. All organoids were derived from one mouse and then mutations were sequentially introduced by CRISPR Cas9
Project description:A collection of genetically engineered mouse models (GEMM) of colorectal cancer (CRC) were created, and primary tumors from these GEMMs were analyzed. Primary CRC tumors from these GEMMs were genotyped to confirm that they contain the core genetic lesions of interest, including APC, P53, KRAS, and BRAF. Primary tumors from GEMMs with combinations of lesions of interest were analyzed by whole genome expression, and their expression profiles were compared to determine how they segregate. Signatures were then generated from GEMM tumors of interest and compared to human clinical datasets with expression and outcome data. Primary tumors from CRC GEMMs with different combinations of mutant alleles of interested were generated and analyzed. Alleles include mutant forms of APC (A), P53 (P), KRAS (K) and BRAF (B).
Project description:Colorectal cancer (CRC) is a commonly occurring cancer worldwide. Metastasis and recurrence are the major causes of cancer-related death. CRC progression is a multistep process, and extensive efforts have been made to identify the genomic and transcriptomic alterations that occur during this process. However, whether primary tumors and metastatic lesions possess distinct biological features remains unclear. We established 74 patient-derived organoids (PDOs) from primary tumors and patient-matched metastatic and recurrent lesions.
Project description:A collection of genetically engineered mouse models (GEMM) of colorectal cancer (CRC) were created, and primary tumors from these GEMMs were analyzed. Primary CRC tumors from these GEMMs were genotyped to confirm that they contain the core genetic lesions of interest, including APC, P53, KRAS, and BRAF. Primary tumors from GEMMs with combinations of lesions of interest were analyzed by whole genome expression, and their expression profiles were compared to determine how they segregate. Signatures were then generated from GEMM tumors of interest and compared to human clinical datasets with expression and outcome data.
Project description:Whole exome sequencing identified frequent driver mutations in a series of paediatric glioblastomas We used microarray-based profiling to investigate differences in gene expression according to mutational status of driver genes RNA from 27 primary tumor samples was subject to QC by Agilent BioAnalyser analysis and then hybridised to an Affymetrix U133 Plus2 gene expression array
Project description:The challenge of preventing colorectal cancer (CRC) is the early identification of individuals whose apparently normal colorectal mucosa will develop cancer, because of inherited trait or environmental exposure. We sought to use genome-wide expression profiling of endoscopic biopsies to detect a signature of propensity for cancer. We performed oligonucleotide microarray analysis of normal appearing mucosa of the following cases: healthy individuals, disease-free carriers predisposed to HNPCC (hereditary non-polyposis CRC), disease-free patients who underwent curative large bowel resection for CRC 1 to 15 years earlier and patients with CRC. This profiling is based on the analysis of 4 donors who underwent curative large bowel resection for CRC from 1 to 19 years before (M-CRC samples), 4 disease-free carriers of mutations in the mismatch repair system genes, who are predisposed to develop HNPCC (HNPCC samples) and 4 endoscopy-negative, asymptomatic individuals (NOR samples)