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Spectroscopic profiling variations in extracellular vesicle biochemistry in a model of myogenesis
journal contribution
posted on 2021-06-08, 09:56 authored by Owen DaviesOwen Davies, Stephen Powell, Jonathan JS Rickard, Michael Clancy, Pola Goldberg OppenheimerExtracellular vesicles (EVs) hold value as accessible biomarkers for understanding cellular differentiation and related pathologies. Herein, EV biomarkers in models of skeletal muscle dormancy and differentiation have been comparatively profiled using Raman spectroscopy (RS). Significant variations in the biochemical fingerprint of EVs were detected, with an elevation in peaks associated with lipid and protein signatures during early myogenic differentiation (day 2). Principal component analysis revealed a clear separation between the spectra of EVs derived from myogenic and senescent cell types, with non-overlapping interquartile ranges and population median. Observations aligned with nanoparticle tracking data, highlighting a significant early reduction in EV concentration in senescent myoblast cultures as well as notable variations in EV morphology and diameter. As differentiation progressed physical and biochemical differences in the properties of EVs became less pronounced. This study demonstrates the applicability of RS as a high-resolution analytical method for profiling biochemical changes in EVs during early myogenesis.
Funding
EPSRC E-TERM Landscape fellowship
Academy of Medical Sciences
Royal Academy of Engineering Fellowship
Wellcome Trust ISSF fund
History
School
- Sport, Exercise and Health Sciences
Published in
Journal of Tissue EngineeringVolume
12Pages
1-9Publisher
SAGE PublicationsVersion
- VoR (Version of Record)
Rights holder
© The authorsPublisher statement
This is an Open Access Article. It is published by Sage under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/Acceptance date
2021-05-17Publication date
2021-05-31Copyright date
2021ISSN
2041-7314Publisher version
Language
- en
Depositor
Dr Owen Davies. Deposit date: 7 June 2021Usage metrics
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