Project description:The circadian profile of the transcriptomes in murine tissues was compared between groups of young and old male mice. The oscillatory phase and absolute expression levels were evaluated as a function of biological age. Distinct differences in multiple pathways were apparent based on biological and circadian time in a tissue specific manner.
Project description:This dataset contains mass spectrometry-based proteomics data from subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and brown adipose tissue (BAT) isolated from wild-type and adipose-tissue-specific myoglobin knockout (ATMBKO) mice maintained at room temperature (23°C), thermoneutrality (30°C), or exposed to cold (8°C). The objective of the study was to determine the contribution of adipose myoglobin to thermogenesis and thermoregulation. The dataset provides a resource to investigate depot-specific and temperature-dependent proteomic changes associated with adipose myoglobin deficiency.
Project description:The circadian profile of the transcriptomes in murine tissues was compared between groups of young and old male mice. The oscillatory phase and absolute expression levels were evaluated as a function of biological age. Distinct differences in multiple pathways were apparent based on biological and circadian time in a tissue specific manner. A total of 18 young (5 month) and old (24 month) C57BL/6 mice were acclimated to a set 12 hr light dark cycle and fed ad lib on standard lab chow for 2 weeks in the PBRC Comparative Biology Core Facility. Five days prior to the study, the mice were converted to constant darkness (red light) regimen. On the day of the study, mice were euthanized by CO2 asphyxiation after ad lib feeding overnight in groups of 3 animals per young or old cohort at 4 hr intervals beginning at 7 AM and ending at 3 AM on a single day (July, 2009). The body weight of each animal was recorded prior to dissection of the following tissues: brown adipose tissue (BAT), inguinal white adipose tissue (iWAT), and liver. Individual tissues were weighed prior to freezing in liquid nitrogen. Samples were stored at -80oC until use.Total RNA was isolated from the BAT, eWAT, and liver tissues using TriReagent (MRC, Cincinnati OH) in accordance with the manufacturer’s recommendations. The Illumina TotalPrep RNA Amplification Kit (Applied Biosystems Inc., Foster City, CA, Catalog #AMIL1791) was used to create labeled cRNA from 750ng of input total RNA according to the manufacturer’s protocol. The labeled cRNA samples were then assessed for quality and quantity using a NanoDrop and an Agilent Bioanalyzer. The MouseWG-6 v2 Beadchip (Illumina Sentrix Beadchip Array #11278593) contains 45,200 transcripts and allows 6 samples to be interrogated in parallel. 1.5ug of each labeled cRNA was hybridized to each array according to the manufacturer's protocol. Experimental group samples were distributed randomly across all beadchips. After an 18 hour hybridization at 58°C, the beadchips were processed according to manufacturer’s protocol and scanned using an Illumina BeadArray Reader (Illumina, Inc., San Diego, CA).
Project description:Obesity, characterized by chronic low-grade inflammation of the adipose tissue, is associated with adverse coronavirus disease 2019 (COVID-19) outcomes, yet the underlying mechanism is unknown. To explore whether severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection of adipose tissue contributes to pathogenesis, we evaluated COVID-19 autopsy cases and deeply profiled the response of adipose tissue to SARS-CoV-2 infection in vitro.
Project description:We analyzed the expression of 23,653 transcripts in the adipose tissue of 19 individuals treated with Sibutramine Keywords: sibutramine effect 157 adipose tissue samples from 19 individuals treated with sibutramin as well as placebo were profiled for gene expression.
Project description:In this study, different adipose tissue samples (visceral (omental), subcutaneous, epiploic) from patients with different insulin status were collected. For the proteome analyses a sub-cohort consisting of nine insulin sensitive subjects, matched to nine insulin resistant subjects by sex, age and BMI.