ABSTRACT: The MMRC reference collection is a dataset of gene expression profiling, array comparative genomic hybridization, and re-sequencing created as a resource for the Multiple Myeloma research community.
Project description:The MMRC reference collection is a dataset of gene expression profiling, array comparative genomic hybridization, and re-sequencing created as a resource for the Multiple Myeloma research community.
Project description:The MMRC reference collection is a dataset of gene expression profiling, array comparative genomic hybridization, and re-sequencing created as a resource for the Multiple Myeloma research community. CD138 purified bone marrow cells from patients with newly diagnosed and relapsed Multiple Myeloma.
Project description:The MMRC reference collection is a dataset of gene expression profiling, array comparative genomic hybridization, and re-sequencing created as a resource for the Multiple Myeloma research community. CD138 purified bone marrow cells from patients with newly diagnosed and relapsed Multiple Myeloma. This submission represents the transcriptome component of the study.
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: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).