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PreprintCited by 0Protein Structure and DynamicsGlycosylation and Glycoproteins ResearchMuscle Physiology and Disorders

The DOI matches its Crossref record; 37 of the 42 references it cites were found in a registry or an index.

The Impact of Glycosylation on the Conformational Ensembles of β -, δ -, and γ Sarcoglycans

Open access

Preprint — published as 10.1016/j.bpj.2026.04.018 · Paper page

Abstract

Glycosylation is a pivotal post-translational modification that influences protein folding, stability, and interactions, with direct implications for muscular dystrophy pathogenesis and emerging gene therapies. Sarcoglycans (SGs), β -, δ -, γ -, and α - subunits of the dystrophin–glycoprotein complex (DGC), contain essential N-linked glycosylation sites, and mutations that disrupt glycan attachment, destabilize the complex and cause limb-girdle muscular dystrophy. Yet, the structural consequences of SG glycosylation remain poorly defined due to the absence of experimental sarcoglycan complex structures. Here, we use homology modeling, AlphaFold predictions, and allatom molecular dynamics simulations to probe how N-linked glycans reshape the conformational ensembles of β -, δ -, and γ -SG monomers and the β – δ – γ heterotrimer core. We find that glycosylation increases flexibility and conformational heterogeneity in isolated monomers but reinforces a compact, stabilized architecture in the heterotrimer. Contact map and clustering analyses show that glycans redistribute local residue interactions while preserving global trimer organization, suggesting a context-dependent role in destabilizing monomers yet reinforcing complex stability. These findings provide the first atomistic insight into how glycosylation primes sarcoglycans for assembly and may explain why mutations at glycosylation sites disrupt complex integrity and drive muscular dystrophy phenotypes.

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Registry

Crossref · 10.64898/2026.01.13.699269

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Citations

Cites

Research works printed but not linked: 6

  1. 10.1074/jbc.273.52.34667 · DOI
  2. 10.1038/s41586-024-08310-2 · DOI
  3. 10.1093/nar/gky092 · DOI
  4. 10.1016/j.bpj.2015.11.3431 · DOI
  5. 2008, Scalable parallel programming with cuda: Is cuda the parallel programming model that application developers have been waiting for?, Queue, 6, 40, 10.1145/1365490.1365500 · DOI
  6. 1996, others Mild and severe muscular dystrophy caused by a single gamma-sarcoglycan mutation, American journal of human genetics, 59, 1040

Metadata

Authors
Fazelpour, E., Cook, G. A., & McCullagh, M.
Affiliations
Oklahoma State University (US)
Corresponding author
McCullagh, Martin
Venue
Biophysical Journal
Publisher
openRxiv
Published
2026-01-14
Volume
125
Issue
11
Pages
2657-2669
ISSN
0006-3495 (ISSN-L)
OpenAlex
W7155102384
Cited by
0
References
42
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • Biophysical Journal (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (submittedVersion, cc-by-nd)
Funders
  • National Science Foundation (1531128)
  • Division of Intramural Research, National Institute of Allergy and Infectious Diseases (R01AI166050)
  • Oklahoma State University (OAC-1531128)
  • National Institute of Allergy and Infectious Diseases (R01AI166050)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Glycosylation and Glycoproteins Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
Keywords
sarcoglycans, glycosylation, N-glycans, dystrophin-glycoprotein complex, limb-girdle muscular dystrophy, conformational ensembles, protein flexibility, glycosylation site mutations

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.