Project description:To better understand the evolution of primate adipose, we performed compartive analyses of adipose tissue from human, chimpanzee and macque adipose.
Project description:The aim of this study was to undertake an in-depth and comparative study of the protein expression patterns of subcutaneous and visceral adipose tissues in goats, combined to an mRNA expression study of proteins involved in immune and inflammatory response. Samples were obtained from four healthy goat-kids, Alpine breed, naturally reared by their mothers. Animals were slaughtered at the age of 30 days, during routinely slaughtering procedures, and four different adipose tissues were collected from each animal. Subcutaneous fat was taken from sternum and base of the tail; visceral fat was taken from perirenal and omental depots. The four adipose tissues deposits were selected due to their frequent use in experimental studies on fat tissue. Liver samples were also collected, and used as reference samples. Tissue samples were snap frozen in liquid nitrogen and stored at –80 degrees C until analysis. The 20 runs included in this dataset are from the 4 animals x 5 tissues (sternum, base of the tail, perirenal area, omentum and liver). A 2-D label free LC-MS/MS approach followed by cluster analysis was used for comparing the subcutaneous and visceral fat tissue proteomes. Each sample was analysed in ~12 SCX fractions which correspond to the WIFF files included in each RAW_GOAT0xx.zip files.
Project description:We profiled gene expression in adipose tissue from F2 progeny from a cross between the outbred M16 (selectively bred for rapid weight gain) and ICR (control) mouse strains. We developed a framework for reconstructing tissue-to-tissue coexpression networks between genes in hypothalamus, adipose or adipose tissues that are independent of networks constructed from single tissue analyses. The subnetworks we identify as specific to tissue-to-tissue interactions associate with multiple obesity-relevant biological functions like circadian rhythm, energy balance, stress response, or immune response. Keywords: Tissue profiling in a mouse F2 cross. We analyzed 308 adipose samples.
Project description:Obesity is a known risk factor for breast cancer. To identify genes and underlying pathways in human triple-negative breast cancer cells affected by interaction with adipose tissue, MDA-MB-231 breast cancer cells were cultivated in a co-culture system with or without adipose tissue explants from mice for the purpose of a microarray gene expression analysis. Co-culture of MDA-MB-231 breast cancer cells was performed with adipose tissue explants obtained from C57BL/6J mice that were fed a high-fat diet (HFD, 58%Kcal from fat) or normal chow diet (NC; 11%Kcal from fat) ad libitum for 16 weeks. For co-cultivation analyses of breast cancer cells and adipose tissue explants, we set up a two-dimensional transwell system, which enables intercellular communication through soluble factors secreted into the medium but inhibits intermixture of the different cell types. Following 72 hours of co-culture with or without adipose tissue, total RNA was isolated from the breast cancer cells and subjected to microarray gene expression analyses.
Project description:We profiled gene expression in adipose tissue from F2 progeny from a cross between the outbred M16 (selectively bred for rapid weight gain) and ICR (control) mouse strains. We developed a framework for reconstructing tissue-to-tissue coexpression networks between genes in hypothalamus, adipose or adipose tissues that are independent of networks constructed from single tissue analyses. The subnetworks we identify as specific to tissue-to-tissue interactions associate with multiple obesity-relevant biological functions like circadian rhythm, energy balance, stress response, or immune response. Keywords: Tissue profiling in a mouse F2 cross.
Project description:To search long noncoding RNAs (lncRNAs) which regulating energy metabolism in high fat diet induced T2DM mouse, we performed transcriptome analyses to simultaneously profile mRNAs and lncRNAs in epididymal adipose tissue in normal and high fat diet induced mouse. Combining genome-wide screens, bioinformatics function predictions, and cell-based analyses, we developed an integrative roadmap to identify lncRNA metabolic regulators in epididymal adipose tissue under high fat diet induced T2DM mouse.