Transcriptomics

Dataset Information

0

RNA-sequencing of human skeletal myocytes from healthy, obese, and type 2 diabetic subjects


ABSTRACT: Skeletal muscle is one of the primary tissues involved in the development of type 2 diabetes (T2D). Obesity is tightly associated with T2D, making it challenging to isolate specific effects attributed to the disease alone. By using an in vitro myocyte model system we were able to isolate the inherent properties retained in myocytes originating from donor muscle precursor cells, without being confounded by varying extracellular factors present in the in vivo environment of the donor. We generated and characterized transcriptional profiles of myocytes from 24 human subjects, using a factorial design with two levels each of the factors T2D (healthy or diseased) and obesity (non-obese or obese), and determined the influence of each specific factor on genome-wide transcription. We identified a striking similarity of the transcriptional profiles associated independently with T2D or obesity. Obesity thus presents an inherent phenotype in skeletal myocytes, similar to that induced by T2D. Through bioinformatics analysis we found a candidate epigenetic mechanism, H3K27me3 histone methylation, mediating the observed transcriptional signatures. Functional characterization of the expression profiles revealed dysregulated myogenesis and down-regulated muscle function in connection with T2D and obesity, as well as up-regulation of genes involved in inflammation and the extracellular matrix. Further on, we identified a metabolite subnetwork involved in sphingolipid metabolism and affected by transcriptional up-regulation in T2D. Collectively, these findings pinpoint transcriptional changes that are hard-wired in skeletal myocytes in connection with both obesity and T2D.

ORGANISM(S): Homo sapiens

PROVIDER: GSE81965 | GEO | 2017/04/22

SECONDARY ACCESSION(S): PRJNA323538

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2015-04-07 | E-GEOD-63887 | biostudies-arrayexpress
2023-08-11 | GSE196387 | GEO
2021-02-25 | PXD024379 | Pride
2020-03-26 | GSE126101 | GEO
2020-03-26 | GSE126100 | GEO
2020-03-26 | GSE126099 | GEO
2015-04-07 | GSE63887 | GEO
2022-03-01 | PXD026225 | Pride
2023-05-05 | GSE231509 | GEO
2023-12-12 | GSE180906 | GEO