Engineering a skeletal muscle model to study extracellular vesicle dynamics

concentrations (40%-60% v/v), highlighting the importance of matrix composition in model design. EVs were successfully isolated using size-exclusion chromatography and ultrafiltration, with yield influenced by cellular differentiation status. Common EV markers (Alix, CD9, CD63) were consistently expressed. Importantly, sarcoplasmic reticulum markers α- and β-sarcoglycan were identified in SM-EV preparations. These findings validate our SM model as a defined platform for studying SM-EV biology and defining molecular cargo.

Authors

Institutions

Publication Details

Journal
Journal of Tissue Engineering
Published
2026-04-01
DOI
https://doi.org/10.1177/20417314261427541
Primary Topic
Muscle Physiology and Disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Engineering a skeletal muscle model to study extracellular vesicle dynamics

Owen G. Davies, Rowan P. Rimington, Mark P. Lewis, J. W. Fleming et al.
Journal of Tissue Engineering
Muscle Physiology and Disorders
article

Engineering a skeletal muscle model to study extracellular vesicle dynamics

Owen G. Davies, Rowan P. Rimington, Mark P. Lewis, J. W. Fleming, Andrew J. Capel, María Fernández-Rhodes
article en

Abstract

concentrations (40%-60% v/v), highlighting the importance of matrix composition in model design. EVs were successfully isolated using size-exclusion chromatography and ultrafiltration, with yield influenced by cellular differentiation status. Common EV markers (Alix, CD9, CD63) were consistently expressed. Importantly, sarcoplasmic reticulum markers α- and β-sarcoglycan were identified in SM-EV preparations. These findings validate our SM model as a defined platform for studying SM-EV biology and defining molecular cargo.

Journal of Tissue EngineeringVol. 17
Loughborough University (GB)
Wellcome Trust, Department for Business, Energy and Industrial Strategy, UK Government, National Institute for Health and Care Research, British Heart Foundation, Diabetes UK, Academy of Medical Sciences, Loughborough University, Engineering and Physical Sciences Research Council, NIHR Leicester Biomedical Research Centre
Life below water
Openalex Percentile: Top 29%
Muscle Physiology and Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Engineering a skeletal muscle model to study extracellular vesicle dynamics — Owen G. Davies, Rowan P. Rimington, et al. · Journal of Tissue Engineering (2026) | TGRS Research Map | TGRS