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Thermodynamic Forces from Protein and Water Govern Condensate Formation of an Intrinsically Disordered Protein Domain
Open accessPreprint — published as 10.1038/s41467-023-41586-y
Abstract
Liquid-liquid phase separation (LLPS) can drive a multitude of cellular processes by compartmentalizing biological cells via the formation of dense liquid biomolecular condensates, which can function as membraneless organelles. Despite its importance, the molecular-level understanding of the underlying thermodynamics of this process remains incomplete. In this study, we use atomistic molecular dynamics simulations of the low complexity domain (LCD) of human fused in sarcoma (FUS) protein to investigate the contributions of water and protein molecules to the free energy changes that govern LLPS. Both protein and water components are found to have comparably sizeable thermodynamic contributions to the formation of FUS condensates. Moreover, we quantify the counteracting effects of water molecules that are released into the bulk upon condensate formation and the waters retained within the protein droplets. Among the various factors considered, solvation entropy and protein interaction enthalpy are identified as the most important contributions, while solvation enthalpy and protein entropy changes are smaller. These insights provide detailed molecular insights on the intricate thermodynamic interplay between protein- and solvation-related forces underlying the formation of biomolecular condensates.
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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
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Research works printed but not linked: 109
- 10.1016/0022-2836(91)90499-V · DOI · Paper page
- 10.1021/ja305300m · DOI
- 2017, Crowders and cosolvents—major contributors to the cellular milieu and efficient means to counteract environmental stresses, ChemPhysChem, 18, 2951, 10.1002/cphc.201700762 · DOI
- 10.1021/cr400695p · DOI
- 10.1016/j.ceb.2015.04.017 · DOI
- 10.1073/pnas.2019918118 · DOI
- 10.1016/S0168-9525(01)02323-X · DOI
- 2022, The material properties of a bacterial-derived biomolecular condensate tune biological function in natural and synthetic systems, Nat. Commun, 13, 5643, 10.1038/s41467-022-33221-z · DOI
- 10.1016/j.cell.2015.04.013 · DOI · Paper page
- 10.1016/j.jmb.2005.11.075 · DOI
- 10.1146/annurev.biochem.75.101304.123901 · DOI
- 10.1021/ar2000869 · DOI
- 10.1074/jbc.M111.328757 · DOI
- 10.1016/j.cell.2013.07.038 · DOI
- 10.1016/j.cell.2015.07.047 · DOI
- 10.1016/j.cell.2018.03.004 · DOI
- 10.1146/annurev-physchem-071819-113553 · DOI
- Bagchi, B. Water in biological and chemical processes: From structure and dynamics to function; Cambridge University Press, 2013. · DOI
- 10.1021/acs.chemrev.5b00664 · DOI
- 2022, From structure and dynamics to biomolecular functions: The ubiquitous role of solvent in biology, Curr. Opin. Struct. Biol, 77, 102462, 10.1016/j.sbi.2022.102462 · DOI
- 2022, Spatially Resolved Hydration Thermodynamics in Biomolecular Systems, J. Phys. Chem. B, 126, 3619, 10.1021/acs.jpcb.2c01088 · DOI
- 2022, Tug-of-War between Internal and External Frictions and Viscosity Dependence of Rate in Biological Reactions, Phys. Rev. Lett, 128, 108101, 10.1103/PhysRevLett.128.108101 · DOI
- 2019, The synergic effect of water and biomolecules in intracellular phase separation, Nat. Rev. Chem, 3, 552, 10.1038/s41570-019-0120-4 · DOI
- 2019, Disassembling solvation free energies into local contributions – Toward a microscopic understanding of solvation processes, WIREs Comput. Mol. Sci, 9, e1390, 10.1002/wcms.1390 · DOI
- 10.1016/j.cell.2018.12.035 · DOI · Paper page
- 10.1126/science.aaw8653 · DOI · Paper page
- 10.1016/j.molcel.2022.05.018 · DOI
- 2023, Phase Transitions of Associative Biomacromolecules, Chem. Rev, 123, 8945, 10.1021/acs.chemrev.2c00814 · DOI
- 10.1126/science.1172046 · DOI
- 10.1038/nrm.2017.7 · DOI
- 10.1038/s41467-021-21181-9 · DOI
- 10.7554/eLife.04123 · DOI
- 10.1126/science.aaf4382 · DOI
- 10.1038/nature22989 · DOI
- 10.15252/embj.201797452 · DOI
- 10.1016/j.jmb.2018.04.041 · DOI
- 10.1073/pnas.1017150108 · DOI
- 2020, LLPSDB: a database of proteins undergoing liquid–liquid phase separation in vitro, Nucleic Acids Res, 48, D320, 10.1093/nar/gkz778 · DOI
- 2022, LLPSDB v2.0: an updated database of proteins undergoing liquid– liquid phase separation in vitro, Bioinformatics, 38, 2010, 10.1093/bioinformatics/btac026 · DOI
- 10.1016/j.molcel.2015.09.006 · DOI
- 10.1016/j.neuron.2015.10.030 · DOI
- 2021, Pressure-Jump Kinetics of Liquid–Liquid Phase Separation: Comparison of Two Different Condensed Phases of the RNA-Binding Protein, Fused in Sarcoma, J. Am. Chem. Soc, 143, 19697, 10.1021/jacs.1c07571 · DOI
- 10.1038/s41467-016-0009-6 · DOI · Paper page
- 10.1073/pnas.1810413115 · DOI
- 10.1093/nar/gkt835 · DOI
- 10.1016/j.molcel.2018.02.001 · DOI
- 10.1083/jcb.201306058 · DOI
- 10.1021/acs.jpclett.2c00962 · DOI
- 10.1021/acs.jctc.0c01064 · DOI
- 10.1038/s41467-022-32143-0 · DOI
- 10.1016/j.molcel.2015.01.013 · DOI · Paper page
- 10.7554/eLife.42571 · DOI
- 2021, The key role of solvent in condensation: mapping water in liquid-liquid phase-separated FUS, Biophys. J, 120, 1266, 10.1016/j.bpj.2021.01.019 · DOI
- 2023, Liquid–Liquid Phase Separation? Ask the Water!, J. Phys. Chem. Lett, 14, 1556, 10.1021/acs.jpclett.2c02697 · DOI
- 10.1038/s41594-019-0250-x · DOI · Paper page
- 10.1016/j.sbi.2020.12.012 · DOI
- 10.1021/acs.jpcb.0c10489 · DOI
- 2020, Unraveling Molecular Interactions in Liquid–Liquid Phase Separation of Disordered Proteins by Atomistic Simulations, J. Phys. Chem. B, 124, 9009, 10.1021/acs.jpcb.0c06288 · DOI
- 10.1021/jacs.2c13647 · DOI
- 2023, Extreme dynamics in a biomolecular condensate, Nature, 619, 876, 10.1038/s41586-023-06329-5 · DOI
- 10.7554/eLife.30294 · DOI · Paper page
- 10.1371/journal.pcbi.1006223 · DOI
- 10.1073/pnas.1804177115 · DOI
- Statt, A. ; Casademunt, H. ; Brangwynne, C. P. ; Panagiotopoulos, A. Z. Model for disordered proteins with strongly sequence-dependent liquid phase behavior. J. Chem. Phys. 2020, 152 . · DOI
- 2021, Using a sequence-specific coarse-grained model for studying protein liquid–liquid phase separation, Methods Enzymol, 646, 1, 10.1016/bs.mie.2020.07.009 · DOI
- McCall, P. M. ; Kim, K. ; Fritsch, A. W. ; Iglesias-Artola, J. ; Jawerth, L. M. ; Wang, J. ; Ruer, M. ; Peychl, J. ; Poznyakovskiy, A. ; Guck, J. ; Alberti, S. ; Hyman, A. A. ; Brugués, J. Quantitative phase microscopy enables precise and efficient determination of biomolecular condensate composition. bioRxiv 2020,
- 10.1039/d0sc06095j · DOI
- 10.1080/002689798169195 · DOI
- 10.1038/35053024 · DOI
- 2015, Characterization of the local structure in liquid water by various order parameters, J. Phys. Chem. B, 119, 8406, 10.1021/acs.jpcb.5b02936 · DOI
- 2021, Surface tension and viscosity of protein condensates quantified by micropipette aspiration, Biophys. Rep, 1, 100011
- 2021, Liquid–liquid phase separation in human health and diseases, Sig. Transduct. Target Ther, 6, 290, 10.1038/s41392-021-00678-1 · DOI
- 10.1002/bip.1975.360140704 · DOI
- 10.1063/1.455080 · DOI
- 2016, Water-mediated hydrophobic interactions, Annu. Rev. Phys. Chem, 67, 617, 10.1146/annurev-physchem-040215-112412 · DOI
- Heinz, L. P. ; Grubmüller, H. Why solvent response contributions to solvation free energies are compatible with Ben-Naim’s theorem. arXiv 2023, 2306.09392. · DOI
- 10.1021/jp103120q · DOI
- 10.1063/1.1740409 · DOI
- 10.1063/1.1877132 · DOI
- 10.1016/j.cell.2015.09.015 · DOI
- 2018, PDB2ENTROPY and PDB2TRENT: Conformational and translational–rotational entropy from molecular ensembles, J. Chem. Inf. Model, 58, 1319, 10.1021/acs.jcim.8b00143 · DOI
- 2012, Will Molecular Dynamics Simulations of Proteins Ever Reach Equilibrium?, Phys. Chem. Chem. Phys, 14, 8662, 10.1039/c2cp23961b · DOI
- 2022, How Much Entropy Is Contained in NMR Relaxation Parameters?, J. Phys. Chem. B, 126, 54, 10.1021/acs.jpcb.1c07786 · DOI
- 10.1073/pnas.1821038116 · DOI
- 2023, Spatially nonuniform condensates emerge from dynamically arrested phase separation, Nat. Commun, 14, 684, 10.1038/s41467-023-36059-1 · DOI
- 10.1016/0010-4655(95)00042-E · DOI
- 10.1016/j.softx.2015.06.001 · DOI · Paper page
- 10.1093/NAR/GKAB1061 · DOI · Paper page
- 10.1021/ct700324x · DOI
- 10.1021/ct300646g · DOI · Paper page
- 2013, Toward optimized potential functions for protein–protein interactions in aqueous solutions: osmotic second virial coefficient calculations using the martini coarse-grained force field, J. Chem. Theory Comput, 9, 4176, 10.1021/ct400008p · DOI
- 10.1063/1.448118 · DOI
- 10.1016/j.cpc.2015.09.014 · DOI
- 10.1021/ct400617g · DOI
- 10.1073/pnas.1800690115 · DOI
- 2023, Benchmarking Molecular Dynamics Force Fields for All-Atom Simulations of Biological Condensates, J. Chem. Theory Comput, 12, 3721
- 10.1063/1.2408420 · DOI
- 10.1063/1.464397 · DOI
- 2016, Accurate schemes for calculation of thermodynamic properties of liquid mixtures from molecular dynamics simulations, J. Chem. Phys, 145, 244504, 10.1063/1.4973001 · DOI
- 2017, Redox potentials from ab initio molecular dynamics and explicit entropy calculations: Application to transition metals in aqueous solution, J. Chem. Theory Comput, 13, 3432, 10.1021/acs.jctc.7b00314 · DOI
- 10.1063/1.1624057 · DOI
- 2017, Signatures of solvation thermodynamics in spectra of intermolecular vibrations, J. Chem. Theory Comput, 13, 4467, 10.1021/acs.jctc.7b00184 · DOI
- 2016, Hydration dynamics of a peripheral membrane protein, J. Am. Chem. Soc, 138, 11526, 10.1021/jacs.6b07005 · DOI
- Mukherjee, S. ; Bagchi, B. Theoretical analyses of pressure induced glass transition in water: Signatures of surprising diffusion-entropy scaling across the transition. Mol. Phys. 2021, e1930222. · DOI
- 2021, Dissecting the Conformational Free Energy of a Small Peptide in Solution, J. Phys. Chem. B, 125, 4634, 10.1021/acs.jpcb.1c00699 · DOI
- 2021, Spectrally resolved estimation of water entropy in the active site of human carbonic anhydrase II, J. Chem. Theory Comput, 17, 5409, 10.1021/acs.jctc.1c00554 · DOI
- 2009, Thermodynamic properties of liquid water: an application of a nonparametric approach to computing the entropy of a neat fluid, J. Chem. Theory Comput, 5, 1462, 10.1021/ct900078k · DOI
- 2014, Estimating translational and orientational entropies using the k-nearest neighbors algorithm, J. Chem. Theory Comput, 10, 3617, 10.1021/ct500415g · DOI
- 10.1093/bioinformatics/btp109 · DOI
Metadata
- Authors
- Mukherjee, S., & Schäfer, L. V.
- Affiliations
- Ruhr University Bochum (DE)
- Corresponding author
- Schäfer, Lars V.
- Venue
- Nature Communications
- Publisher
- openRxiv
- Published
- 2023-09-06
- Volume
- 14
- Issue
- 1
- Pages
- 5892-5892
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC10514047
- OpenAlex
- W4386915691
- Cited by
- 118
- References
- 1
- Citations by year
- 2026: 41 · 2025: 44 · 2024: 30 · 2023: 3
- FWCI
- 10.51
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Nature Communications (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Dokumentenrepositorium der RUB (Ruhr University Bochum) (submittedVersion, cc-by)
- Funders
- Arizona State University
- European Commission (801459, HORIZON2020)
- Deutsche Forschungsgemeinschaft (390677874, EXC2033390677874, EXC2033, 2033390677874‐RESOLV, EXC-2033390677874-RESOLV)
- Horizon 2020 Framework Programme (801459-FP-RESOMUS)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Health Sciences › Medicine › Clinical Neurology › Amyotrophic Lateral Sclerosis Research
- Keywords
- liquid-liquid phase separation, biomolecular condensates, intrinsically disordered proteins, FUS protein, low-complexity domains, solvation entropy, free energy change, atomistic molecular dynamics
- MeSH terms
- Biomolecular Condensates, Humans, Thermodynamics, Water, Entropy, Intrinsically Disordered Proteins
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