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Integration of Data from Liquid–Liquid Phase Separation Databases Highlights Concentration and Dosage Sensitivity of LLPS Drivers
Authors:Nazanin Farahi  Tamas Lazar  Shoshana J. Wodak  Peter Tompa  Rita Pancsa
Affiliation:1.VIB-VUB Center for Structural Biology, Flemish Institute for Biotechnology, 1050 Brussels, Belgium; (N.F.); (T.L.); (S.J.W.);2.Structural Biology Brussels, Vrije Universiteit Brussel, 1050 Brussels, Belgium;3.Department of Biology, Technical University of Kaiserslautern, 67663 Kaiserslautern, Germany;4.Institute of Enzymology, Research Centre for Natural Sciences, 1117 Budapest, Hungary
Abstract:Liquid–liquid phase separation (LLPS) is a molecular process that leads to the formation of membraneless organelles, representing functionally specialized liquid-like cellular condensates formed by proteins and nucleic acids. Integrating the data on LLPS-associated proteins from dedicated databases revealed only modest agreement between them and yielded a high-confidence dataset of 89 human LLPS drivers. Analysis of the supporting evidence for our dataset uncovered a systematic and potentially concerning difference between protein concentrations used in a good fraction of the in vitro LLPS experiments, a key parameter that governs the phase behavior, and the proteomics-derived cellular abundance levels of the corresponding proteins. Closer scrutiny of the underlying experimental data enabled us to offer a sound rationale for this systematic difference, which draws on our current understanding of the cellular organization of the proteome and the LLPS process. In support of this rationale, we find that genes coding for our human LLPS drivers tend to be dosage-sensitive, suggesting that their cellular availability is tightly regulated to preserve their functional role in direct or indirect relation to condensate formation. Our analysis offers guideposts for increasing agreement between in vitro and in vivo studies, probing the roles of proteins in LLPS.
Keywords:liquid–  liquid phase separation, liquid demixing, membraneless organelles, dosage sensitivity, protein abundance, quantitative proteomics, local concentration, data integration
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