The conformational plasticity of structurally unrelated lipid transport proteins correlates with their mode of action

PLoS Biol. 2024 Aug 19;22(8):e3002737. doi: 10.1371/journal.pbio.3002737. eCollection 2024 Aug.

Abstract

Lipid transfer proteins (LTPs) are key players in cellular homeostasis and regulation, as they coordinate the exchange of lipids between different cellular organelles. Despite their importance, our mechanistic understanding of how LTPs function at the molecular level is still in its infancy, mostly due to the large number of existing LTPs and to the low degree of conservation at the sequence and structural level. In this work, we use molecular simulations to characterize a representative dataset of lipid transport domains (LTDs) of 12 LTPs that belong to 8 distinct families. We find that despite no sequence homology nor structural conservation, the conformational landscape of LTDs displays common features, characterized by the presence of at least 2 main conformations whose populations are modulated by the presence of the bound lipid. These conformational properties correlate with their mechanistic mode of action, allowing for the interpretation and design of experimental strategies to further dissect their mechanism. Our findings indicate the existence of a conserved, fold-independent mechanism of lipid transfer across LTPs of various families and offer a general framework for understanding their functional mechanism.

MeSH terms

  • Biological Transport
  • Carrier Proteins* / chemistry
  • Carrier Proteins* / metabolism
  • Humans
  • Lipid Metabolism
  • Molecular Dynamics Simulation
  • Protein Conformation*
  • Protein Domains

Substances

  • lipid transfer protein
  • Carrier Proteins

Grants and funding

S.V. acknowledges support by the SNSF (PP00P3_194807) and by the European Research Council under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 803952). G.D’A. acknowledges support by the Swiss Cancer League, KFS-4999-02-2020; by the EPFL institutional fund; and by SNSF (310030_184926). This work was supported by grants from the Swiss National Supercomputing Centre under projects ID s1030 and s1132. S.V. and A.J.P. acknowledge support from the Novartis Forschungsstiftung via a FreeNovation grant. D.A. acknowledges support from the Margarita Salas program 2021–2023 funded by Ministerio de Universidades (MU-21-UP2021-030-53773022). M.A.L. acknowledges support from the Foundation Suisse de Recherche sur le Maladies Musculaires (FSRMM). TH acknowledges support from Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (310030_215134) and from European Joint Program on Rare Diseases (32ER30_187505). MAL acknowledges support from EMPIRIS foundation, Zürich. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.