Dynamical modeling reveals RNA decay mediates the effect of matrix stiffness on aged muscle stem cell fate
Hettinger, Z. R.; Hu, S.; Mamiya, H.; Sahu, A.; Iijima, H.; Wang, K.; Gilmer, G.; Miller, A.; Nasello, G.; D'Amore, A.; Vorp, D.; Rando, T. A.; Xing, J.; Ambrosio, F.
Show abstract
Loss of muscle stem cell (MuSC) self-renewal with aging reflects a combination of influences from the intracellular (e.g., post-transcriptional modifications) and extracellular (e.g., matrix stiffness) environment. Whereas conventional single cell analyses have revealed valuable insights into factors contributing to impaired self-renewal with age, most are limited by static measurements that fail to capture nonlinear dynamics. Using bioengineered matrices mimicking the stiffness of young and old muscle, we showed that while young MuSCs were unaffected by aged matrices, old MuSCs were phenotypically rejuvenated by young matrices. Dynamical modeling of RNA velocity vector fields in silico revealed that soft matrices promoted a self-renewing state in old MuSCs by attenuating RNA decay. Vector field perturbations demonstrated that the effects of matrix stiffness on MuSC self-renewal could be circumvented by fine-tuning the expression of the RNA decay machinery. These results demonstrate that post-transcriptional dynamics dictate the negative effect of aged matrices on MuSC self-renewal. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=125 SRC="FIGDIR/small/529950v2_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@1a840corg.highwire.dtl.DTLVardef@d354cforg.highwire.dtl.DTLVardef@650556org.highwire.dtl.DTLVardef@41587c_HPS_FORMAT_FIGEXP M_FIG Graphical abstract description: The balance of self-renewal and differentiation in young muscle stem cells (MuSCs) is robust to perturbations of the biophysical microenvironment. In contrast, aged MuSCs are highly sensitive to extrinsic perturbations, and exposure to a youthful microenvironment rejuvenates the self-renewing potential of aged MuSCs by modulating post-transcriptional RNA dynamics. C_FIG
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- The biphasic and age-dependent impact of Klotho on hallmarks of aging and skeletal muscle function 96%
- In Vivo Transcriptomic Profiling using Cell Encapsulation Identifies Effector Pathways of Systemic Aging 96%
- Scleraxis-lineage cells are required for tendon homeostasis and their depletion induces an accelerated extracellular matrix aging phenotype 95%
Similar papers in this journal
- The androgen receptor in mesenchymal progenitors regulates skeletal muscle mass via Igf1 expression in male mice. 94%
- Murine gut microbiota dysbiosis via enteric infection modulates the foreign body response to a distal biomaterial implant 93%
- Abolishing the prelamin A ZMPSTE24 cleavage site leads to progeroid phenotypes with near-normal longevity in mice 93%
Similar papers in this journal
- Xenogeneic Skin Transplantation Promotes Angiogenesis and Tissue Regeneration Through Vitamin D-Activated Trem2+ Macrophages 94%
- Toughening mechanisms for the attachment of architectured materials: The mechanics of the tendon enthesis 94%
- Hoxa10 mediates positional memory to govern stem cell function in adult skeletal muscle 93%
Similar papers in this journal
- The immune landscape of murine skeletal muscle regeneration and aging 95%
- Single-cell analysis of the muscle stem cell hierarchy identifies heterotypic communication signals involved in skeletal muscle regeneration 94%
- Cellular and molecular landscapes of human tendons across the lifespan revealed by spatial and single-cell transcriptomics 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.