Syndecan-4 affects myogenesis via Rac1-mediated actin remodeling and exhibits copy-number amplification and increased expression in human rhabdomyosarcoma tumors.


Journal

Cellular and molecular life sciences : CMLS
ISSN: 1420-9071
Titre abrégé: Cell Mol Life Sci
Pays: Switzerland
ID NLM: 9705402

Informations de publication

Date de publication:
07 Feb 2022
Historique:
received: 13 08 2021
accepted: 29 12 2021
revised: 14 12 2021
entrez: 7 2 2022
pubmed: 8 2 2022
medline: 11 2 2022
Statut: epublish

Résumé

Skeletal muscle demonstrates a high degree of regenerative capacity repeating the embryonic myogenic program under strict control. Rhabdomyosarcoma is the most common sarcoma in childhood and is characterized by impaired muscle differentiation. In this study, we observed that silencing the expression of syndecan-4, the ubiquitously expressed transmembrane heparan sulfate proteoglycan, significantly enhanced myoblast differentiation, and fusion. During muscle differentiation, the gradually decreasing expression of syndecan-4 allows the activation of Rac1, thereby mediating myoblast fusion. Single-molecule localized superresolution direct stochastic optical reconstruction microscopy (dSTORM) imaging revealed nanoscale changes in actin cytoskeletal architecture, and atomic force microscopy showed reduced elasticity of syndecan-4-knockdown cells during fusion. Syndecan-4 copy-number amplification was observed in 28% of human fusion-negative rhabdomyosarcoma tumors and was accompanied by increased syndecan-4 expression based on RNA sequencing data. Our study suggests that syndecan-4 can serve as a tumor driver gene in promoting rabdomyosarcoma tumor development. Our results contribute to the understanding of the role of syndecan-4 in skeletal muscle development, regeneration, and tumorigenesis.

Identifiants

pubmed: 35128576
doi: 10.1007/s00018-021-04121-0
pii: 10.1007/s00018-021-04121-0
pmc: PMC8818642
doi:

Substances chimiques

Actins 0
RNA, Small Interfering 0
Syndecan-4 0
T-Lymphoma Invasion and Metastasis-inducing Protein 1 0
rac1 GTP-Binding Protein EC 3.6.5.2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

122

Subventions

Organisme : National Research, Development and Innovation Office of Hungary
ID : GINOP-2.3.2-15-2016-00040
Organisme : National Research, Development and Innovation Office of Hungary
ID : NKFI FK 134684
Organisme : National Research, Development and Innovation Office of Hungary
ID : NKFI FK 128654
Organisme : National Research, Development and Innovation Office of Hungary
ID : NKFI K 132446
Organisme : National Research, Development and Innovation Office of Hungary
ID : GINOP-2.3.2-15-2016-00036
Organisme : Hungarian Brain Research Programme
ID : 2017-1.2.1-NKP-2017-00002
Organisme : EU-funded Hungarian Grant
ID : EFOP-3.6.1-16-2016-00008
Organisme : New National Excellence Program of the Ministry for Innovation and Technology Sciences
ID : UNKP-21-5-SZTE-571
Organisme : János Bolyai Research Scholarship of the Hungarian Academy of Sciences
ID : BO/00734/19/5

Informations de copyright

© 2022. The Author(s).

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Auteurs

Kitti Szabo (K)

Department of Biochemistry, Albert Szent-Gyorgyi Medical School, University of Szeged, Szeged, Hungary.

Daniel Varga (D)

Department of Optics and Quantum Electronics, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary.

Attila Gergely Vegh (AG)

Institute of Biophysics, Biological Research Centre, Eotvos Lorand Research Network (ELKH), Szeged, Hungary.

Ning Liu (N)

Department of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Xue Xiao (X)

Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Lin Xu (L)

Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Laszlo Dux (L)

Department of Biochemistry, Albert Szent-Gyorgyi Medical School, University of Szeged, Szeged, Hungary.

Miklos Erdelyi (M)

Department of Optics and Quantum Electronics, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary.

Laszlo Rovo (L)

Department of Oto-Rhino-Laryngology and Head- Neck Surgery, University of Szeged, Szeged, Hungary.

Aniko Keller-Pinter (A)

Department of Biochemistry, Albert Szent-Gyorgyi Medical School, University of Szeged, Szeged, Hungary. keller.aniko@med.u-szeged.hu.

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Classifications MeSH