Systematic analyses of lipid mobilization by human lipid transfer proteins

Lipid transfer proteins (LTPs) maintain the specialized lipid compositions of organellar membranes<sup>1,2</sup>. In humans, many LTPs are implicated in diseases<sup>3</sup>, but the cargo and auxiliary lipids that facilitate the transfer of the majority of LTPs remain unknown. Here we combined biochemical, lipidomic and computational methods to systematically characterize LTP-lipid complexes<sup>4</sup> and measure how LTP gains of function affect cellular lipidomes. We identified bound lipids for around half of the hundreds of LTPs that we analysed, confirming known ligands and identifying new ones across most LTP families. Gains in LTP function affected the cellular abundance of both their known and newly identified lipid ligands, indicating comparable functional relevance of the two ligand sets. Using structural bioinformatics, we characterized mechanisms that contribute to lipid selectivity and identified preferences based on headgroup or acyl chain. We demonstrate some basic principles of how LTPs mobilize their ligands. They commonly interact with several classes of lipids and exhibit broad but selective preference for particular headgroups and for lipid species with shorter acyl chains that contain one or two unsaturated carbons, suggesting that only subsets of lipid species are efficiently mobilized. The datasets represent a resource for further analysis in different cell types and states, such as those associated with pathologies.

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Journal
Nature
Published
2026-01-07
DOI
https://doi.org/10.1038/s41586-025-10040-y
Citations
1
Primary Topic
Lipid metabolism and biosynthesis
Type
article
Field-Weighted Citation Impact
31.02
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article

Systematic analyses of lipid mobilization by human lipid transfer proteins

Reza Talandashti, Julio Sáez-Rodríguez, Sergei Grudinin, Dénes Türei et al.
1 citations
Nature
Lipid metabolism and biosynthesis
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article

Systematic analyses of lipid mobilization by human lipid transfer proteins

Reza Talandashti, Julio Sáez-Rodríguez, Sergei Grudinin, Dénes Türei, Gavin Anne-Claude, Antonella Chiapparino, Charlotte Gehin, Camille Cuveillier, Mads Møller Foged, Inger Ødum Nielsen, Kevin Titeca, Nathalie Reuter, Larissa van Ek, Florian Echelard, Theodore Alexandrov, Kliment Olechnovič, Joanna Zukowska, Marco L. Hennrich, Mahmoud Moqadam, Kenji Maeda, Sergio Triana
article en
1 citations

Abstract

Lipid transfer proteins (LTPs) maintain the specialized lipid compositions of organellar membranes<sup>1,2</sup>. In humans, many LTPs are implicated in diseases<sup>3</sup>, but the cargo and auxiliary lipids that facilitate the transfer of the majority of LTPs remain unknown. Here we combined biochemical, lipidomic and computational methods to systematically characterize LTP-lipid complexes<sup>4</sup> and measure how LTP gains of function affect cellular lipidomes. We identified bound lipids for around half of the hundreds of LTPs that we analysed, confirming known ligands and identifying new ones across most LTP families. Gains in LTP function affected the cellular abundance of both their known and newly identified lipid ligands, indicating comparable functional relevance of the two ligand sets. Using structural bioinformatics, we characterized mechanisms that contribute to lipid selectivity and identified preferences based on headgroup or acyl chain. We demonstrate some basic principles of how LTPs mobilize their ligands. They commonly interact with several classes of lipids and exhibit broad but selective preference for particular headgroups and for lipid species with shorter acyl chains that contain one or two unsaturated carbons, suggesting that only subsets of lipid species are efficiently mobilized. The datasets represent a resource for further analysis in different cell types and states, such as those associated with pathologies.

NatureVol. 651(8105)
Institut polytechnique de Grenoble (FR), Broad Institute (US), University of Geneva (CH), Centre National de la Recherche Scientifique (FR), European Bioinformatics Institute (GB), European Molecular Biology Organization (DE), Saab (Switzerland) (CH), Vilnius University (LT), Heidelberg University (DE), University Hospital Heidelberg (DE), Technische Universität Darmstadt (DE), University of California San Diego (US), University of Oxford (GB), European Molecular Biology Laboratory (DE), ViaCyte (United States) (US), Danish Cancer Society (DK), Laboratoire Jean Kuntzmann (FR), European Molecular Biology Laboratory (DE), University of Bergen (NO), École Polytechnique Fédérale de Lausanne (CH), Massachusetts Institute of Technology (US), Université Grenoble Alpes (FR)
Openalex Percentile: Top 3%
Lipid metabolism and biosynthesis
31.02
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