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Multi-omics analysis to examine gene expression and metabolites from multisite adipose-derived mesenchymal stem cells

ABSTRACT: The aim of this study was to explore the gene expression and metabolites among multisite adipose-derived mesenchymal stem cells, and investigate the metabolic pathway of multisite adipose-derived mesenchymal stem cells using a multi-omics analysis. Subcutaneous adipose-derived mesenchymal stem cells (SASCs), perirenal adipose-derived mesenchymal stem cells (PASCs), and epididymal adipose-derived mesenchymal stem cells (EASCs) were isolated from Sprague Dawley rats. RNA and metabolites were extracted and sequenced using transcriptomics and metabolomics analyses, respectively. There were 720 differentially expressed genes (DEGs) in EASCs and 688 DEGs in PASCs compared with SASCs; there were 166 unique DEGs in EASCs, 134 unique DEGs in PASCs, and 554 common DEGs between EASCs and PASCs. Furthermore, there were 220 differential metabolites in EASCs, 249 differential metabolites in PASCs, 83 unique differential metabolites in EASCs, 112 unique differential metabolites in PASCs, and 137 common differential metabolites between EASCs and PASCs. The transcriptomics and metabolomics analyses identified four hub genes, one in EASCs and three in PASCs. There are functional differences among multisite adipose-derived mesenchymal stem cells that may be related to the hub genes Atac2, Rrm1, Rrm2, and Gla. The relevant signaling pathways are the Ras signaling pathway, HIF-1 signaling pathway, and the p53 signaling pathway.

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE161312 | GEO | 2021/03/11

REPOSITORIES: GEO

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Project description:*Background: Adipocytes mainly function as energy storage and endocrine cells. The amount and distribution of fat are important factor that influence the meat quality in the beef industry. Fat depot can be found around internal organ (ometal), beneath the skin (subcutaneous), and between muscles (intramuscular). Different adipose depot showed the biological and genetic difference depending on their location. This inter-depot variation might be influenced by the inherent genetic programing for development of adipose depots. In this study, we used RNA-seq data to investigate the difference in transcriptome of various adipose depots in Hanwoo. *Results: Using RNA-seq, we identified 5797, 2156, and 5455 DEGs in the comparison between OI, OS, and IS respectively (FDR<0.01) and found 853, 48, and 979 DEGs specific to subcutaneous, intramuscular and omental fat respectively. DEGs in intramuscular fat were highly enriched the metabolism related pathways compared to other fat depots. DEGs specific to the omental fat is significantly enriched in PPAR signaling pathway and cell-junction related pathway. In subcutaneous fat, cytokine-cytokine receptor interaction with chemokines (CXC and CC subfamily) was the most significantly enriched the pathways. Interestingly, melanogenesis pathway was associated with the subcutaneous depot. Even though the adipose tissues shared the same pathways for adipocyte differentiation, the regulation of genes were different based on the depot. *Conclusions: We comparatively analyzed the transcripome profile from different adipose tissues using NGS and identified DEGs between adipose depot and specific to depot in Hanwoo animals. The functional annotation analysis of DEGs found that transcriptome profile difference in various adipose tissue of intramuscular, subcutaneous, and ometal fat. whole mRNA sequencing profiles of nine Korean native cattle (nine profiles of omental fat tissue, nine profiles of intramuscular fat tissue, nine profiles of subcutaneous fat tissue and eight profiles of muscle tissue)

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Multi-omics analysis to examine gene expression and metabolites from multisite adipose-derived mesenchymal stem cells

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