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Molecular characterization of the intact mouse muscle spindle using a multi-omics approach

Heinemann-Yerushalmi, Lia; Bornstein, Bavat; Krief, Sharon; Adler, Ruth; Dassa, Bareket; Leshkowitz, Dena; Kim, Minchul; Bewick, Guy; Banks, Robert W; Zelzer, Elazar

Molecular characterization of the intact mouse muscle spindle using a multi-omics approach Thumbnail


Authors

Lia Heinemann-Yerushalmi

Bavat Bornstein

Sharon Krief

Ruth Adler

Bareket Dassa

Dena Leshkowitz

Minchul Kim

Guy Bewick

Elazar Zelzer



Abstract

The proprioceptive system is essential for the control of coordinated movement, posture, and skeletal integrity. The sense of proprioception is produced in the brain using peripheral sensory input from receptors such as the muscle spindle, which detects changes in the length of skeletal muscles. Despite its importance, the molecular composition of the muscle spindle is largely unknown. In this study, we generated comprehensive transcriptomic and proteomic datasets of the entire muscle spindle isolated from the murine deep masseter muscle. We then associated differentially expressed genes with the various tissues composing the spindle using bioinformatic analysis. Immunostaining verified these predictions, thus establishing new markers for the different spindle tissues. Utilizing these markers, we identified the differentiation stages the spindle capsule cells undergo during development. Together, these findings provide comprehensive molecular characterization of the intact spindle as well as new tools to study its development and function in health and disease.

Citation

Heinemann-Yerushalmi, L., Bornstein, B., Krief, S., Adler, R., Dassa, B., Leshkowitz, D., …Zelzer, E. (2023). Molecular characterization of the intact mouse muscle spindle using a multi-omics approach. eLife, 12, Article e81843. https://doi.org/10.7554/elife.81843

Journal Article Type Article
Acceptance Date Feb 3, 2023
Online Publication Date Feb 6, 2023
Publication Date 2023
Deposit Date Jun 12, 2023
Publicly Available Date Jun 12, 2023
Journal eLife
Publisher eLife Sciences Publications
Peer Reviewed Peer Reviewed
Volume 12
Article Number e81843
DOI https://doi.org/10.7554/elife.81843

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.





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