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Spectroscopic profiling variations in extracellular vesicle biochemistry in a model of myogenesis

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posted on 2021-06-08, 09:56 authored by Owen DaviesOwen Davies, Stephen Powell, Jonathan JS Rickard, Michael Clancy, Pola Goldberg Oppenheimer
Extracellular 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 Engineering

Volume

12

Pages

1-9

Publisher

SAGE Publications

Version

  • VoR (Version of Record)

Rights holder

© The authors

Publisher 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

2021-05-17

Publication date

2021-05-31

Copyright date

2021

ISSN

2041-7314

Language

  • en

Depositor

Dr Owen Davies. Deposit date: 7 June 2021

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