Project description:Total ribosome-depleted RNA sequencing was performed on the left cardiac ventricle, skeletal muscle (quadriceps femoris), and kidney of young adult (16.5 wk) and early aging (86 wk) C57BL/6J mice.
Project description:Skeletal muscle aging is a major causative factor for disability and frailty in the elderly. Recent theories about the origins of the progressive impairment of skeletal muscle with aging emphasize a disequilibrium between damage and repair. Macrophages participate in muscle tissue repair first as pro-inflammatory M1 subtype and then as M2 anti-inflammatory subtype. However, information on macrophage presence in skeletal muscle is still sporadic and the effect of aging on different phenotypes remains unknown. In this study, we sought to characterize the polarization status of macrophages human skeletal muscle at different ages. We found that most macrophages in human skeletal muscle are M2, and that this number increased with advancing age. On the contrary, M1 macrophages decline with aging, making the total number of macrophages invariant with older age. Notably, M2 macrophages co-localized with increasing intermuscular adipose tissue (IMAT) in aging skeletal muscle. The mouse strain BALB/c, intrinsically M2-prone, showed increased IMAT and regenerating myofibers in skeletal muscle, accompanied by elevated expression of adipocyte markers and M2 cytokines. Collectively, we report that polarization of macrophages to the major M2 subtype is associated with IMAT, and propose that increased M2 in aged skeletal muscle may reflect active repair of aging-associated muscle damage.
Project description:This experiment contains the Xenopus tropicalis subset of data from the experiment E-GEOD-41338 (http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-41338/). mRNA profiles of several organs (brain, liver, kidney, heart, skeletal muscle) in multiple vertebrate species (mouse, chicken, lizard, frog, pufferfish) were generated by deep sequencing using Illumina HiSeq to better understand how species with similar repertoires of protein-coding genes differ so markedly at the phenotypic level.
Project description:This experiment contains the Gallus gallus subset of data from the experiment E-GEOD-41338 (http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-41338/). mRNA profiles of several organs (brain, liver, kidney, heart, skeletal muscle) in multiple vertebrate species (mouse, chicken, lizard, frog, pufferfish) were generated by deep sequencing using Illumina HiSeq to better understand how species with similar repertoires of protein-coding genes differ so markedly at the phenotypic level.
Project description:This experiment contains the Mus musculus subset of data from the experiment E-GEOD-41338 (http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-41338/). mRNA profiles of several organs (brain, liver, kidney, heart, skeletal muscle) in multiple vertebrate species (mouse, chicken, lizard, frog, pufferfish) were generated by deep sequencing using Illumina HiSeq to better understand how species with similar repertoires of protein-coding genes differ so markedly at the phenotypic level.
Project description:This experiment contains the Anolis carolinensis subset of data from the experiment E-GEOD-41338 (http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-41338/). mRNA profiles of several organs (brain, liver, kidney, heart, skeletal muscle) in multiple vertebrate species (mouse, chicken, lizard, frog, pufferfish) were generated by deep sequencing using Illumina HiSeq to better understand how species with similar repertoires of protein-coding genes differ so markedly at the phenotypic level.
Project description:This experiment contains the Tetraodon nigroviridis subset of data from the experiment E-GEOD-41338 (http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-41338/). mRNA profiles of several organs (brain, liver, kidney, heart, skeletal muscle) in multiple vertebrate species (mouse, chicken, lizard, frog, pufferfish) were generated by deep sequencing using Illumina HiSeq to better understand how species with similar repertoires of protein-coding genes differ so markedly at the phenotypic level.