Nature CommunicationsGeneticsPeer-reviewed journal article
Transcriptional Reprogramming of Skeletal Muscle Stem Cells by the Niche Environment
Felicia Lazure, Rick FarouniiD, Korin SahinyaniD, Darren M. BlackburniD, Aldo Hernández-CorchadoiD, Gabrielle PerroniD, Tianyuan LuiD, Adrien OsakweiD, Jiannis RagoussisiD, Colin G. CristiD, Theodore J. PerkinsiD, Arezu Jahani‐AsliD, Hamed Shateri NajafabadiiD, Vahab D. SoleimaniiD
Abstract
Adult stem cells are indispensable for tissue regeneration. Tissue-specific stem cells reside in a specialized location called their niche, where they are in constant cross talk with neighboring niche cells and circulatory signals from their environment. Aging has a detrimental effect on the number and the regenerative function of various stem cells. However, whether the loss of stem cell function is a cause or consequence of their aging niche is unclear. Using skeletal muscle stem cells (MuSCs) as a model, we decouple cell-intrinsic from niche-mediated extrinsic effects of aging on their transcriptome. By combining in vivo MuSC heterochronic transplantation models and computational methods, we show that on a genome-wide scale, age-related altered genes fall into two distinct categories regarding their response to the niche environment. Genes that are inelastic in their response to the niche exhibit altered chromatin accessibility and are associated with differentially methylated regions (DMRs) between young and aged cells. On the other hand, genes that are restorable by niche exposure exhibit altered transcriptome but show no change in chromatin accessibility or DMRs. Taken together, our data suggest that the niche environment plays a decisive role in controlling the transcriptional activity of MuSCs, and exposure to a young niche can reverse approximately half of all age-associated changes that are not epigenetically encoded. The muscle niche therefore serves as an important therapeutic venue to mitigate the negative consequence of aging on tissue regeneration.
- organism: mouse
- assay: bulk RNA-seq
- research focus: differential expression
- approach: experimental assay
- Citations
- 47
- FWCI
- 4.00
- Field percentile
- top 4%
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