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Engineering cardiolipin binding to an artificial membrane protein reveals determinants for lipid-mediated stabilization
Open accessPreprint — published as 10.7554/elife.104237.3 · Paper page
Abstract
Integral membrane proteins carry out essential functions in the cell, and their activities are often modulated by specific protein-lipid interactions in the membrane. Here, we elucidate the intricate role of cardiolipin (CDL), a regulatory lipid, as a stabilizer of membrane proteins and their complexes. Using the in silico -designed model protein TMHC4_R (ROCKET) as a scaffold, we employ a combination of molecular dynamics simulations and native mass spectrometry to explore the protein features that facilitate preferential lipid interactions and mediate stabilization. We find that the spatial arrangement of positively charged residues as well as local conformational flexibility are factors that distinguish stabilizing from non-stabilizing CDL interactions. However, we also find that even in this controlled, artificial system, a clear-cut distinction between binding and stabilization is difficult to attain, revealing that overlapping lipid contacts can partially compensate for the effects of binding site mutations. Extending our insights to naturally occurring proteins, we identify a stabilizing CDL site within the E. coli rhomboid intramembrane protease GlpG and uncover its regulatory influence on enzyme substrate preference. In this work, we establish a framework for engineering functional lipid interactions, paving the way for the design of proteins with membrane-specific properties or functions.
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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
A structural biology community assessment of AlphaFold2 applications
Akdel, M., Pires, D. E. V., Pardo, E. P., Jänes, J., Zalevsky, A. O., Mészáros, B., Bryant, P., Good, L. L., Laskowski, R. A., Pozzati, G., et al. (2022) · Nature Structural & Molecular Biology · doi:10.1038/s41594-022-00849-w · Cited by 675
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Research works printed but not linked: 33
- I. Levental , E. Lyman , Regulation of membrane protein structure and function by their lipid nano-environment. Nat. Rev. Mol. Cell Biol., 1–16 (2022). · DOI
- 10.1021/acs.chemrev.8b00451 · DOI
- 10.1016/j.sbi.2020.03.006 · DOI
- 10.3390/ijms22169026 · DOI
- 10.1016/j.bpc.2021.106587 · DOI
- 10.1042/BST0330938 · DOI
- 10.1016/j.bbamem.2004.06.012 · DOI
- 10.1016/j.sbi.2016.04.005 · DOI
- 10.1016/j.biochi.2017.08.013 · DOI
- 10.1074/jbc.M308366200 · DOI · Paper page
- 10.1039/d2sc04072g · DOI
- 10.1038/ncomms13993 · DOI
- 10.1038/s41598-019-54198-8 · DOI
- 10.1038/s44318-024-00132-2 · DOI
- 10.1016/j.bbamcr.2023.119614 · DOI
- R. A. Corey , W. Song , A. L. Duncan , T. B. Ansell , M. S. P. Sansom , P. J. Stansfeld , Identification and assessment of cardiolipin interactions with E. coli inner membrane proteins. Sci. Adv. 7, eabh2217. · DOI
- 10.1038/s41467-018-06702-3 · DOI
- 10.1038/nature20820 · DOI
- 10.1038/s41589-020-00659-5 · DOI
- 10.1038/nature13419 · DOI
- 2020, A Mass-Spectrometry-Based Approach to Distinguish Annular and Specific Lipid Binding to Membrane Proteins, Angew. Chem, 132, 3551, 10.1002/ange.201914411 · DOI
- 10.1126/science.aaq1739 · DOI
- 10.1021/acs.jctc.1c00295 · DOI · Paper page
- 10.1002/jcc.23354 · DOI
- 10.1016/j.chembiol.2009.02.008 · DOI
- 10.1016/j.chembiol.2018.03.011 · DOI
- 10.1103/PhysRevLett.131.218401 · DOI · Paper page
- 10.1039/D2RA01282K · DOI
- 10.1016/j.jmb.2011.01.029 · DOI
- 10.1021/acs.jmedchem.2c01092 · DOI
- 10.1074/jbc.M116.762849 · DOI
- 10.1073/pnas.0611080104 · DOI
- 10.1073/pnas.0408306102 · DOI
Metadata
- Authors
- Abramsson, M. L., Corey, R. A., Škerle, J., Persson, L. J., Andén, O., Oluwole, A. O., Howard, R. J., Lindahl, E., Robinson, C. V., Strisovsky, K., Marklund, E. G., Drew, D., Stansfeld, P. J., & Landreh, M.
- Affiliations
- Karolinska Institutet (SE)
- University of Bristol (GB)
- Uppsala University (SE)
- Stockholm University (SE)
- University of Oxford (GB)
- University of Warwick (GB)
- Corresponding author
- Landreh, Michael
- ORCID
- Venue
- eLife
- Publisher
- openRxiv
- Published
- 2024-05-27
- Volume
- 14
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W4409986053
- Cited by
- 4
- References
- 2
- Citations by year
- 2026: 4
- FWCI
- 1.21
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
- Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
- Funders
- Wellcome Trust (10.35802/208361)
- Göran Gustafssons Stiftelser
- Sven och Lilly Lawskis Fond för Naturvetenskaplig Forskning
- Ministerstvo Školství, Mládeže a Tělovýchovy (InterCOST programme (project no. LUC23180))
- Cancerfonden (22–2023 Pj)
- Svenska Sällskapet för Medicinsk Forskning
- Vetenskapsrådet (2019-02433, 2021-05806, 2020-04825, 2019-01961)
- Medical Research Council (MR/V028839/1, MR/S009213/1)
- Biotechnology and Biological Sciences Research Council (BB/Y003187/1, BB/S003339/1, BB/P01948X/1, BB/R002517/1)
- European Regional Development Fund (Operational Programme CZ.02.1.01/0.0/0.0/16_019/0000729)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Lipid Membrane Structure and Behavior
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
- Keywords
- cardiolipin, protein-lipid interactions, membrane protein stabilization, positively charged residues, conformational flexibility, lipid binding sites, GlpG, Escherichia coli, substrate specificity, protein engineering
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