TMEM63 proteins act as mechanically activated cholesterol modulated lipid scramblases contributing to membrane mechano-resilience
Open accessPublished version of a preprint
Abstract
OSCA/TMEM63 mechanosensitive ion channels play critical physiological roles in plants and animals. These channels bear structural homology to the dual functional TMEM16 family, and OSCA1.2 was recently shown to form a lipid-lined ion conduction pathway in the open state. This raised the question of whether members of the OSCA/TMEM63 family may also function as mechanically activated lipid scramblases. Using a combination of in vitro and cellular assays with computational techniques, we show that phospholipids can be translocated through the open pores of OSCA1.1/1.2/2.2 and TMEM63A/B proteins, suggesting a dual ion channel and lipid scramblase function for members of this protein family. We characterize the effects of mutating key groove lining residues demonstrating that different residues form bottlenecks for lipids and ions respectively and show that cholesterol inhibits lipid scrambling by stabilizing the closed state and slowing translocation through the open pore. We show that lipid scrambling in TMEM63 proteins can be activated by mechanical forces in the membrane, making these mechanically activated lipid scramblases. Finally, we demonstrate that this activity is important for the mechanically induced morphological remodeling of biological membranes and the resilience of cells to high mechanical forces.
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Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
‘Improved parameters for the Martini coarse-grained protein force field’
de Jong, D. H., Singh, G., Bennett, W. F. D., Arnarez, C., Wassenaar, T. A., Schäfer, L. V., Periole, X., Tieleman, D. P., & Marrink, S. J. (2013) · Journal of Chemical Theory and Computation · doi:10.1021/ct300646g · Cited by 1,486 · see citing works
Predicting multiple conformations via sequence clustering and AlphaFold2
Wayment-Steele, H. K., Ojoawo, A., Otten, R., Apitz, J. M., Pitsawong, W., Hömberger, M., Ovchinnikov, S., Colwell, L., & Kern, D. (2024) · Nature · doi:10.1038/s41586-023-06832-9 · Cited by 545 · see citing works
Sampling alternative conformational states of transporters and receptors with AlphaFold2
del Alamo, D., Sala, D., Mchaourab, H. S., & Meiler, J. (2022) · eLife · doi:10.7554/elife.75751 · Cited by 511 · see citing works
SPEACH_AF: Sampling protein ensembles and conformational heterogeneity with Alphafold2
Stein, R. A., & Mchaourab, H. S. (2022) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1010483 · Cited by 258 · see citing works
High-throughput prediction of protein conformational distributions with subsampled AlphaFold2
Monteiro da Silva, G., Cui, J. Y., Dalgarno, D. C., Lisi, G. P., & Rubenstein, B. M. (2024) · Nature Communications · doi:10.1038/s41467-024-46715-9 · Cited by 196 · see citing works
CG2AT2: An enhanced fragment-based approach for serial multi-scale molecular dynamics simulations
Vickery, O. N., & Stansfeld, P. J. (2021) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.1c00295 · Cited by 150 · see citing works
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- Authors
- Lin, Y., Zhou, Z., Han, Y., Cheng, D., Wang, H. J., Ju, L. A., Zhang, Y., Cox, C. D., & Corry, B.
- Affiliations
- Australian National University (AU)
- Victor Chang Cardiac Research Institute (AU)
- Chinese Academy of Sciences (CN)
- The University of Sydney (AU)
- Corresponding author
- Zhang, Yixiao
- Cox, Charles D.
- Corry, Ben
- ORCID
- Venue
- Nature Communications
- Published
- 2026-01-30
- Volume
- 17
- Issue
- 1
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC13013810
- OpenAlex
- W7126198019
- Cited by
- 7
- References
- 7
- Citations by year
- 2026: 7
- FWCI
- 14.47
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nature Communications (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Computational Infrastructure
- Australian Government
- Science and Technology Commission of Shanghai Municipality
- Australian Research Council (DP250100893)
- Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences
- National Cancer Institute
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Lipid Membrane Structure and Behavior
- Health Sciences › Medicine › Physiology › Erythrocyte Function and Pathophysiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion channel regulation and function
- Keywords
- lipid scramblase, lipid translocation, mechanical forces
- MeSH terms
- Anoctamins, Animals, Cell Membrane, Cholesterol, Humans, Phospholipids, Arabidopsis Proteins, Phospholipid Transfer Proteins, HEK293 Cells
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