In: PLOS ONE
10(10), e0139520
[PDF, 2MB]
Abstract
Introduction TNF-alpha levels are increased during muscle wasting and chronic muscle degeneration and regeneration processes, which are characteristic for primary muscle disorders. Pathologically increased TNF-alpha levels have a negative effect on muscle cell differentiation efficiency, while IGF1 can have a positive effect;therefore, we intended to elucidate the impact of TNF-alpha and IGF1 on gene expression during the early stages of skeletal muscle cell differentiation. Methodology/Principal Findings This study presents gene expression data of the murine skeletal muscle cells PMI28 during myogenic differentiation or differentiation with TNF-alpha or IGF1 exposure at 0 h, 4 h, 12 h, 24 h, and 72 h after induction. Our study detected significant coregulation of gene sets involved in myoblast differentiation or in the response to TNF-alpha. Gene expression data revealed a time-and treatment-dependent regulation of signaling pathways, which are prominent in myogenic differentiation. We identified enrichment of pathways, which have not been specifically linked to myoblast differentiation such as doublecortin-like kinase pathway associations as well as enrichment of specific semaphorin isoforms. Moreover to the best of our knowledge, this is the first description of a specific inverse regulation of the following genes in myoblast differentiation and response to TNF-alpha: Aknad1, Cmbl, Sepp1, Ndst4, Tecrl, Unc13c, Spats2l, Lix1, Csdc2, Cpa1, Parm1, Serpinb2, Aspn, Fibin, Slc40a1, Nrk, and Mybpc1. We identified a gene subset (Nfkbia, Nfkb2, Mmp9, Mef2c, Gpx, and Pgam2),which is robustly regulated by TNF-alpha across independent myogenic differentiation studies. Conclusions This is the largest dataset revealing the impact of TNF-alpha or IGF1 treatment on gene expression kinetics of early in vitro skeletal myoblast differentiation. We identified novel mRNAs, which have not yet been associated with skeletal muscle differentiation or response to TNF-alpha. Results of this study may facilitate the understanding of transcriptomic networks underlying inhibited muscle differentiation in inflammatory diseases.
Item Type: | Journal article |
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Faculties: | Medicine Veterinary Medicine > Department of Veterinary Medicine |
Subjects: | 600 Technology > 610 Medicine and health |
URN: | urn:nbn:de:bvb:19-epub-34030-2 |
ISSN: | 1932-6203 |
Language: | English |
Item ID: | 34030 |
Date Deposited: | 15. Feb 2017, 16:03 |
Last Modified: | 04. Nov 2020, 13:11 |