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

connective tissue developmental biology intrafusal fibers mouse muscle spindle proprioception skeletal deformation γ-motoneurons

Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
06 02 2023
Historique:
received: 13 07 2022
accepted: 03 02 2023
pubmed: 7 2 2023
medline: 18 2 2023
entrez: 6 2 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 36744866
doi: 10.7554/eLife.81843
pii: 81843
pmc: PMC9931388
doi:
pii:

Banques de données

GEO
['GSE208147', 'GSE161621', 'GSE131230']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023, Bornstein, Heinemann-Yerushalmi et al.

Déclaration de conflit d'intérêts

BB, LH, SK, RA, BD, DL, MK, GB, RB, EZ No competing interests declared

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Auteurs

Bavat Bornstein (B)

Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.

Lia Heinemann-Yerushalmi (L)

Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.

Sharon Krief (S)

Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.

Ruth Adler (R)

Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.

Bareket Dassa (B)

Bioinformatics Unit, Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel.

Dena Leshkowitz (D)

Bioinformatics Unit, Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel.

Minchul Kim (M)

Developmental Biology/Signal Transduction, Max Delbrueck Center for Molecular Medicine, Berlin, Germany.
Team of syncytial cell biology, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Illkirch, France.

Guy Bewick (G)

Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom.

Robert W Banks (RW)

Department of Biosciences, Durham University, Durham, United Kingdom.

Elazar Zelzer (E)

Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.

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Classifications MeSH