American Journal of Physiology-Cell PhysiologyCell BiologyPeer-reviewed journal article
Spatially distinct ECM-producing fibroblasts and myonuclei orchestrate early adaptation to mechanical loading in the human muscle-tendon unit
Ask MøbjergiD, Danielle SteffeniD, Peter SchjerlingiD, Jens Rithamer JakobseniD, Anja Jokipii‐Utzon, Mykhailo Y. BatiukiD, Konstantin V. KhodosevichiD, Michael Rindom KrogsgaardiD, Valerio IzziiD, Abigail Louise MackeyiD, Michael KjæriD, Ching‐Yan Chloé YeungiD
Abstract
Mechanical loading drives structural and functional improvements in muscle and tendon, protecting against injury at their interface - the myotendinous junction (MTJ) - and within the tendon matrix. However, the early cellular and molecular events that initiate these adaptations in humans remain poorly understood. To investigate this, we applied single nucleus RNA sequencing and in situ hybridization to map the acute transcriptional response of the human muscle-tendon unit to a single bout of eccentric resistance exercise, with a focus on extracellular matrix (ECM) regulation. We identified four transcriptionally distinct fibroblast subtypes expressing key ECM components, including COL1A1 and DCN. Three of these subtypes were localized to tendon and responded to exercise: two were spatially restricted to the collagen fascicles or the MTJ, while the third, enriched in the interfascicular matrix (IFM), exhibited the strongest response. This IFM population, marked by PDGFRA, upregulated PRG4 and VCAN, ECM genes linked to tissue lubrication and resilience. In parallel, exercise induced dynamic ECM regulation in myonuclei, particularly in a distinct subset of type II myonuclei at the MTJ that expanded in number and robustly upregulated COL22A1, a collagen essential for MTJ integrity. Together, these findings uncover a spatially organized, cell type-specific program of ECM remodeling in response to mechanical load, offering new insight into the early molecular events of human muscle-tendon adaptation.
- organism: human
- assay: scRNA-seq
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: spatial domain detection
- approach: experimental assay
- approach: statistical model
- Citations
- 8
- FWCI
- 7.99
- Field percentile
- top 2%
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