Age-related transcriptional profiling of phagocytic cells isolated from murine epididymal white adipose tissue
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE154832 | GEO | 2020/07/22
REPOSITORIES: GEO
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Project description:Age-related transcriptional profiling of phagocytic cells isolated from murine epididymal white adipose tissue
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Project description:Adipose tissue gene expression was profiled from perigonadal adipose tissue of mice whose body mass and insulin sensitivity varied as a function of diet, gender, monogenic mutations and insulin sensitizing therapies. Mice were 22-24 weeks of age and sacrificed between 2-3 hours into the light portion of a 12/12 dark-light cycle. The goal was to identify transcripts whose adipose tissue expression is correlated with adiposity, insulin sensitivity and other measures of metabolic function. Experiment Overall Design: Mice on the C57BL/6J strain were housed in groups of 3-5 and fed ad libitum. 2-4 days prior to collection of adipose tissue fasting blood glucose and serum insulin concentrations were measured. Mice were sacrificed 2-3 hours into the light cycle. RNA was extracted from perigonadal adipose tissue and used to generate labed cRNA for hybridization to Affymetrix Mu74Av2 microarrays.
2008-11-13 | E-GEOD-8831 | biostudies-arrayexpress
Project description:Adipose tissue gene expression was profiled from perigonadal adipose tissue of mice whose body mass and insulin sensitivity varied as a function of diet, gender, monogenic mutations and insulin sensitizing therapies. Mice were 22-24 weeks of age and sacrificed between 2-3 hours into the light portion of a 12/12 dark-light cycle. The goal was to identify transcripts whose adipose tissue expression is correlated with adiposity, insulin sensitivity and other measures of metabolic function. Keywords: population
2008-11-01 | GSE8831 | GEO
Project description:Age-related and/or high caloric intake driven changes in visceral adipose tissue contribute to the development of diabetes and cardiovascular disease. The lack of reliable, high-throughput methods to analyze the adipose tissue protein composition has limited our understanding of the protein networks responsible for metabolic regulation of various adipose depots. We have developed a proteomic approach using multiple-dimension liquid chromatography tandem mass spectrometry and multiplexed TMT labeling to analyze protein composition of epididymal adipose tissues isolated from mice fed either low or high fat diet for a short (8 weeks) or a long (18 weeks) term, and from mice that aged (26 weeks old) on low vs. high fat diets. Advancing age and high-fat diet feeding led to graded deterioration, with long-term high fat diet exposure being the worst of all measures of peripheral metabolic health such as body weight, adiposity, plasma fasting glucose, insulin, triglycerides, total cholesterol levels, and glucose and insulin tolerance tests. Epididymal adipose depot proteomic analysis identified >3300 proteins per sample. In response to short-term high fat diet, 43 proteins representing lipid metabolism (e.g., AACS, ACOX1, ACLY) and red-ox pathways (e.g., CPD2, CYP2E, SOD3) were significantly altered (FDR < 10%). Long-term high fat diet significantly altered 55 proteins associated with immune response (e.g., IGTB2, IFIT3, LGALS1) and rennin angiotensin system (e.g. ENPEP, CMA1, CPA3, ANPEP). Age-related changes on low fat diet significantly altered only 18 proteins representing mainly urea cycle (e.g., OTC, ARG1, CPS1), and amino acid biosynthesis (e.g., GMT, AKR1C6). Surprisingly, high fat diet driven age-related changes culminated with alterations in 155 proteins involving primarily the urea cycle (e.g., ARG1, CPS1), immune response/complement activation (e.g., C3, C4b, C8, C9, CFB, CFH, FGA), extracellular remodeling (e.g., EFEMP1, FBN1, FBN2, LTBP4, FERMT2, ECM1, EMILIN2, ITIH3) and apoptosis (e.g., YAP1, HIP1, NDRG1, PRKCD, MUL1) pathways. Our unbiased mass spectrometry method, tailored to adipose tissue, identified both age-related and high fat diet specific proteomic signatures. In addition to well-described immune and extracellular remodeling response to high fat feeding, we have uncovered the pronounced involvement of arginine metabolism in response to advancing age, and branched chain amino acid metabolism in early response to high fat feeding. We were able to uncouple age-related metabolic responses from those associated with caloric intake, a task otherwise difficult to achieve.
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Project description:Perilipin A (PeriA) exclusively locates on adipocyte lipid droplets and is essential for lipid storage and lipolysis. Adipocyte specific overexpression of PeriA caused resistance to diet-induced obesity and resulted in improved insulin sensitivity. In order to better understand the biological basis for this observed phenotype we performed DNA microarray analysis on white adipose tissue (WAT) from PeriA transgenic (Tg) and control wildtype (WT) mice. We generated transgenic mice that overexpressed human PeriA using the adipocyte specific aP2 promoter/enhancer (Miyoshi, et al. J Lipid Res 2010). All PeriA Tg mice used for the study were female, and heterozygous for the transgene. Littermates that lacked the transgene were used as controls (WT). All mice were housed at room temperature, maintained on a 12 h light/dark cycle, given free access to water, and fed a high-fat diet (HFD) until the age of 30 weeks. On the day prior to tissue harvest at 30 weeks, WAT from perigonadal were rapidly dissected out, extracted total RNA, and hybridized on Affymetrix microarrays.
2010-05-28 | E-GEOD-21754 | biostudies-arrayexpress
Project description:Age-related and/or high caloric intake driven changes in visceral adipose tissue contribute to the development of diabetes and cardiovascular disease. The lack of reliable, high-throughput methods to analyze the adipose tissue protein composition has limited our understanding of the protein networks responsible for metabolic regulation of various adipose depots. We have developed a proteomic approach using multiple-dimension liquid chromatography tandem mass spectrometry and multiplexed TMT labeling to analyze protein composition of epididymal adipose tissues isolated from mice fed either low or high fat diet for a short (8 weeks) or a long (18 weeks) term, and from mice that aged (26 weeks old) on low vs. high fat diets. Advancing age and high-fat diet feeding led to graded deterioration, with long-term high fat diet exposure being the worst of all measures of peripheral metabolic health such as body weight, adiposity, plasma fasting glucose, insulin, triglycerides, total cholesterol levels, and glucose and insulin tolerance tests. Epididymal adipose depot proteomic analysis identified >3300 proteins per sample. In response to short-term high fat diet, 43 proteins representing lipid metabolism (e.g., AACS, ACOX1, ACLY) and red-ox pathways (e.g., CPD2, CYP2E, SOD3) were significantly altered (FDR < 10%). Long-term high fat diet significantly altered 55 proteins associated with immune response (e.g., IGTB2, IFIT3, LGALS1) and rennin angiotensin system (e.g. ENPEP, CMA1, CPA3, ANPEP). Age-related changes on low fat diet significantly altered only 18 proteins representing mainly urea cycle (e.g., OTC, ARG1, CPS1), and amino acid biosynthesis (e.g., GMT, AKR1C6). Surprisingly, high fat diet driven age-related changes culminated with alterations in 155 proteins involving primarily the urea cycle (e.g., ARG1, CPS1), immune response/complement activation (e.g., C3, C4b, C8, C9, CFB, CFH, FGA), extracellular remodeling (e.g., EFEMP1, FBN1, FBN2, LTBP4, FERMT2, ECM1, EMILIN2, ITIH3) and apoptosis (e.g., YAP1, HIP1, NDRG1, PRKCD, MUL1) pathways. Our unbiased mass spectrometry method, tailored to adipose tissue, identified both age-related and high fat diet specific proteomic signatures. In addition to well-described immune and extracellular remodeling response to high fat feeding, we have uncovered the pronounced involvement of arginine metabolism in response to advancing age, and branched chain amino acid metabolism in early response to high fat feeding. We were able to uncouple age-related metabolic responses from those associated with caloric intake, a task otherwise difficult to achieve.
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