Project description:Beige fat is a potential therapeutic target for obesity and other metabolic diseases due to its inducible brown fat-like functions. Inguinal white adipose tissue (iWAT) can undergo robust brown remodeling with appropriate stimuli and is therefore widely considered as a representative beige fat depot. However, adipose tissues residing in different anatomic depots exhibit a broad range of plasticity, raising the possibility that better beige fat depots with greater plasticity may exist. Here we identified and characterized a novel, naturally-existing beige fat depot, thigh adipose tissue (tAT). Unlike classic WATs, tAT maintains beige fat morphology at room temperature, whereas high-fat diet (HFD) feeding or aging promotes the development of typical WAT features, namely unilocular adipocytes. The brown adipocyte gene expression in tAT is consistently higher than in iWAT under cold exposure, HFD feeding, and rosiglitazone treatment conditions. Our molecular profiling by RNA-Seq revealed up-regulation of energy expenditure pathways and repressed inflammation in tAT relative to eWAT and iWAT. Furthermore, we demonstrated that the master fatty acid oxidation regulator peroxisome proliferator-activated receptor α is dispensable for maintaining and activating the beige character of tAT. Therefore, we have identified tAT as a natural beige adipose depot in mice with a unique molecular profile that does not require peroxisome proliferator-activated receptor α.
Project description:We investigated RNAs from Myod-lineage (GFP tagged) adipose tissue micro-dissected from inguinal WAT of Myod CRE; mTmG reporter mice (N=3). As comparison group, GFP- adipose tissue was dissected from inguinal WAT of the same mice (N=3) under microscope.
Project description:Purpose : To understand differences in microRNA (miRNA) signatures of different adipose tissue depots to gain mechanistic insight regarding their contribution to metabolic disorders in obesity. Method : We performed small RNA-sequencing of brown, subcutaneous and visceral adipose depots from high fat diet-fed mice (mice were fed a 45% kcal fat diets from 5-6 weeks of age for 11 weeks). The main animal study reference: Kalupahana et al., J. Nutr, 2010 Results:Using the Gunaratne Next Generation pipeline (published in Creighton et al. 2009) miRNA expression profiles were identified. Counts of each unique read were normalized to total usable reads, and had 40 counts added. We mapped about 13.8 million sequence reads per sample to the Mus musculus genome (build mm 10). Altogether 1251 miRNAs were identified in three adipose tissues and out of which 246 showed differential expression with 1.25 or more fold change and p value <0.05 in one or more of the pairwise comparisons of the 3 adipose depots. Hierarchical clustering, demonstrated that biological replicates behaved appropriately as they were clustered together. BAT exhibited a different gene/ miRNA expression pattern than the 2 other WATs (SAT and VAT). SAT and VAT showed a closer relationship with each other than with BAT Conclusion : High fat diet differentially regulate specific miRNAs expression in different adipose tissue depots
Project description:The main goal of this study was to examine the presence and specific transcriptomic profile of epicardial adipose tissue (eAT) in zebrafish. We assessed how cold treatment affects the epicardial adipose tissue. Additional we provided some key differences between human, mouse and zebrafish epicardial adipose tissue.
Project description:The induction of beige/brite adipose cells in white adipose tissue (WAT) is associated with protection against high fat diet-induced obesity and insulin resistance in animals. The helix-loop-helix transcription factor Early B-Cell Factor-2 (EBF2) regulates brown adipose tissue development. We examined the role of EBF2 in beige fat cell biogenesis by comparing transcriptome in wildtype and EBF2-overexpressing mice in the adipose tissue. Four control replicates (wildtype) and four experimental replicates (Fabp4-Ebf2) mice were analyzed
Project description:This study seeks to undertake an assessment of the effects of prenatal exposure of female sheep to excess testosterone, the estrogen precursor, in four different adipose depots. The depots investigated are subcutaneous adipose tissue (SAT) - a fat beneath the skin storing >80% of total body fat in the human body, visceral adipose tissue (VAT) - an intra-abdominal fat primarily associated with digestive system organs, and smaller depots such as epicardial adipose tissue (ECAT) and perirenal adipose tissue (PRAT) that serve specialized functions associated with the organs/tissues in their proximity. The goals are to 1) determine gene expression and gene network profiles in the depots; 2) assess prenatal T-treatment induced disruptions in adipose depot-specific gene expression and gene networks; and 3) identify common and divergent gene and gene pathways underlying depot-specific disruption in prenatal T-treated female sheep.
Project description:White adipose tissue (WAT) harbors functionally diverse subpopulations of adipose progenitor cells that differentially impact tissue plasticity in a sex- and depot-dependent manner. To date, the molecular basis of this cellular heterogeneity has not been fully defined. Here, we describe a multilayered omics approach to dissect adipose progenitor cell heterogeneity from in three dimensions: progenitor subpopulation, sex, and anatomical localization. We applied state-of-the-art mass spectrometry methods to quantify 4870 proteins in eight different stromal cell populations from perigonadal and inguinal WAT of male and female mice and acquired transcript expression levels of 15477 genes using RNA-seq. Notably, our data highlight the molecular signatures defining sex differences in PDGFR+ preadipocyte differentiation and identify regulatory pathways that functionally distinguish adipose tissue PDGFRb+ subpopulations. The data are freely accessible as a resource at "Pread Profiler. Together, the multilayered omics analysis provides unprecedented insights into adipose stromal cell heterogeneity.