Project description:Molecular mechanisms of the cancer cells-carcinoma associated fibroblasts (CAF) interactions growing in vitro conditions as a co-culture. The five canine mammary cancer cell lines were cultured with CAF (isolated from canine mammary cancer) for 72hrs. Then, the cancer cells and CAFs were sorted and the gene expression analysis was conducted. The control for each co-cultured cell line was the same cell line growing as a single culture. Dye-swap experiment, each cell line growing in the co-culture conditions was compared to the same cell line growing as a single culture.
Project description:Molecular mechanisms of the cancer cells-carcinoma associated fibroblasts (CAF) interactions growing in vitro conditions as a co-culture. The five canine mammary cancer cell lines were cultured with CAF (isolated from canine mammary cancer) for 72hrs. Then, the cancer cells and CAFs were sorted and the gene expression analysis was conducted. The control for each co-cultured cell line was the same cell line growing as a single culture.
Project description:Comparative oncology is a developing research discipline that is being used to assist our understanding of human neoplastic diseases. Companion canines are a preferred animal oncology model due to spontaneous tumor development and similarity to human disease at the pathophysiological level. We use a paired RNA sequencing (RNA-Seq)/microarray analysis of a set of four normal canine lymph nodes and ten canine lymphoma fine needle aspirates to identify technical biases and variation between the technologies and convergence on biological disease pathways. Surrogate Variable Analysis (SVA) provides a formal multivariate analysis of the combined RNA-Seq/microarray data set. Applying SVA to the data allows us to decompose variation into contributions associated with transcript abundance, differences between the technology, and latent variation within each technology. A substantial and highly statistically significant component of the variation reflects transcript abundance, and RNA-Seq proved more sensitive for detection of transcripts expressed at low levels. Latent random variation among RNA-Seq samples is also distinct in character from that impacting microarray samples. In particular, we observed variation between RNA-Seq samples that reflects transcript GC content. Platform-independent variable decomposition without a priori knowledge of the sources of variation using SVA represents a generalizable method for accomplishing cross-platform data analysis. We identified genes differentially expressed between normal lymph nodes of disease free dogs and a subset of the diseased dogs diagnosed with B-cell lymphoma using each technology. There is statistically significant overlap between the RNA-Seq and microarray sets of differentially expressed genes. Analysis of overlapping genes in the context of biological systems suggests elevated expression and activity of PI3K signaling in B-cell lymphoma biopsies compared with normal biopsies, consistent with literature describing successful use of drugs targeting this pathway in lymphomas.
Project description:Gene expression profiling of CAF co-cultured with human oral squamous cell carcinoma (OSCC) cells compared with mono-cultured CAF. To identify key molecular regulators expressed by carcinoma-associated fibroblasts (CAF) that promote cancer cell invasion, microarrays were performed by comparing co-cultured OSCC cells and CAF with monoculture controls. comparison 1: CAF co-cultured with OSCC vs. mono-cultured CAF comparison 2: OSCC co-cultured with CAF vs. mono-cultured OSCC 1.7X10(5) YD-10B OSCC cells and 1.7X10(5) CAF were seeded in the upper chamber and lower chamber, respectively, of 6-transwell plates containing collagen-coated 1 micrometer pore transmembrane filters (Becton Dickinson, Franklin Lakes, NJ, USA). Monoculture control samples were generated by culturing only CAF or OSCC on the same side of the filter as in the co-culture design.