Liquid–Liquid Phase Separation Modifies the Dynamic Properties of Intrinsically Disordered Proteins

Liquid–liquid phase separation of flexible biomolecules has been identified as a ubiquitous phenomenon underlying the formation of membraneless organelles that harbor a multitude of essential cellular processes. We use nuclear magnetic resonance (NMR) spectroscopy to compare the dynamic properties of an intrinsically disordered protein (measles virus NTAIL) in the dilute and dense phases at atomic resolution. By measuring 15N NMR relaxation at different magnetic field strengths, we are able to characterize the dynamics of the protein in dilute and crowded conditions and to compare the amplitude and timescale of the different motional modes to those present in the membraneless organelle. Although the local backbone conformational sampling appears to be largely retained, dynamics occurring on all detectable timescales, including librational, backbone dihedral angle dynamics and segmental, chainlike motions, are considerably slowed down. Their relative amplitudes are also drastically modified, with slower, chain-like motions dominating the dynamic profile. In order to provide additional mechanistic insight, we performed extensive molecular dynamics simulations of the protein under self-crowding conditions at concentrations comparable to those found in the dense liquid phase. Simulation broadly reproduces the impact of formation of the condensed phase on both the free energy landscape and the kinetic interconversion between states. In particular, the experimentally observed reduction in the amplitude of the fastest component of backbone dynamics correlates with higher levels of intermolecular contacts or entanglement observed in simulations, reducing the conformational space available to this mode under strongly self-crowding conditions.

[1]  J. Shea,et al.  Hydrophobicity of arginine leads to reentrant liquid-liquid phase separation behaviors of arginine-rich proteins , 2022, Nature Communications.

[2]  Lars V. Schäfer,et al.  Probing Methyl Group Dynamics in Proteins by NMR Cross-Correlated Dipolar Relaxation and Molecular Dynamics Simulations. , 2022, Journal of chemical theory and computation.

[3]  G. Bouvignies,et al.  How does it really move? Recent progress in the investigation of protein nanosecond dynamics by NMR and simulation. , 2022, Current opinion in structural biology.

[4]  M. Blackledge,et al.  Convergent views on disordered protein dynamics from NMR and computational approaches , 2022, Biophysical journal.

[5]  L. Holt,et al.  Condensed-phase signaling can expand kinase specificity and respond to macromolecular crowding , 2022, Molecular cell.

[6]  M. Blackledge,et al.  NMR Provides Unique Insight into the Functional Dynamics and Interactions of Intrinsically Disordered Proteins , 2022, Chemical reviews.

[7]  M. Blackledge,et al.  Conformational Dynamics of Intrinsically Disordered Proteins Regulate Biomolecular Condensate Chemistry , 2022, Chemical reviews.

[8]  T. Knowles,et al.  Conformational Expansion of Tau in Condensates Promotes Irreversible Aggregation. , 2021, Journal of the American Chemical Society.

[9]  G. Jeschke,et al.  Structural biology of RNA-binding proteins in the context of phase separation: What NMR and EPR can bring? , 2021, Current opinion in structural biology.

[10]  Nicolas L. Fawzi,et al.  Biophysical studies of phase separation integrating experimental and computational methods. , 2021, Current opinion in structural biology.

[11]  L. Kay,et al.  Interaction hot spots for phase separation revealed by NMR studies of a CAPRIN1 condensed phase , 2021, Proceedings of the National Academy of Sciences.

[12]  M. Rosen,et al.  Mechanistic dissection of increased enzymatic rate in a phase-separated compartment , 2021, Nature Chemical Biology.

[13]  F. Damberger,et al.  NMR and EPR reveal a compaction of the RNA-binding protein FUS upon droplet formation , 2021, Nature Chemical Biology.

[14]  Joan-Emma Shea,et al.  Physics-based computational and theoretical approaches to intrinsically disordered proteins. , 2021, Current opinion in structural biology.

[15]  M. Rosen,et al.  A framework for understanding the functions of biomolecular condensates across scales , 2020, Nature Reviews Molecular Cell Biology.

[16]  G. Hummer,et al.  Simulation of FUS Protein Condensates with an Adapted Coarse-Grained Model , 2020, bioRxiv.

[17]  T. Mittag,et al.  How do intrinsically disordered protein regions encode a driving force for liquid-liquid phase separation? , 2020, Current opinion in structural biology.

[18]  Nicolas L. Fawzi,et al.  Molecular details of protein condensates probed by microsecond-long atomistic simulations , 2020, bioRxiv.

[19]  R. Riek,et al.  α-Synuclein aggregation nucleates through liquid–liquid phase separation , 2020, Nature Chemistry.

[20]  Matthew C. Good,et al.  Identifying sequence perturbations to an intrinsically disordered protein that determine its phase-separation behavior , 2020, Proceedings of the National Academy of Sciences.

[21]  R. Best,et al.  Biomolecular Phase Separation: From Molecular Driving Forces to Macroscopic Properties. , 2020, Annual review of physical chemistry.

[22]  M. Blackledge,et al.  Measles virus nucleo- and phosphoproteins form liquid-like phase-separated compartments that promote nucleocapsid assembly , 2020, Science Advances.

[23]  R. Pappu,et al.  Valence and patterning of aromatic residues determine the phase behavior of prion-like domains , 2020, Science.

[24]  R. Pappu,et al.  Physical Principles Underlying the Complex Biology of Intracellular Phase Transitions. , 2020, Annual review of biophysics.

[25]  L. Kay,et al.  NMR experiments for studies of dilute and condensed protein phases: Application to the phase-separating protein CAPRIN1. , 2020, Journal of the American Chemical Society.

[26]  M. Blackledge,et al.  A Unified Description of Intrinsically Disordered Protein Dynamics under Physiological Conditions using NMR Spectroscopy. , 2019, Journal of the American Chemical Society.

[27]  C. Brangwynne,et al.  Quantifying Dynamics in Phase-Separated Condensates Using Fluorescence Recovery after Photobleaching. , 2019, Biophysical journal.

[28]  Tu Anh Nguyen,et al.  Arginine-enriched mixed-charge domains provide cohesion for nuclear speckle condensation , 2019, bioRxiv.

[29]  L. Kay,et al.  Phospho-dependent phase separation of FMRP and CAPRIN1 recapitulates regulation of translation and deadenylation , 2019, Science.

[30]  S. Mukhopadhyay,et al.  Liquid-Liquid Phase Separation is Driven by Large-Scale Conformational Unwinding and Fluctuations of Intrinsically Disordered Protein Molecules , 2019, bioRxiv.

[31]  M. Blackledge,et al.  Solvent-dependent segmental dynamics in intrinsically disordered proteins , 2019, Science Advances.

[32]  Nicolas L. Fawzi,et al.  Molecular interactions underlying liquid-liquid phase separation of the FUS low complexity domain , 2019, Nature Structural & Molecular Biology.

[33]  Rohit V. Pappu,et al.  LASSI: A lattice model for simulating phase transitions of multivalent proteins , 2019, bioRxiv.

[34]  Wenwei Zheng,et al.  Simulation methods for liquid-liquid phase separation of disordered proteins. , 2019, Current opinion in chemical engineering.

[35]  T. Mittag,et al.  Considerations and Challenges in Studying Liquid-Liquid Phase Separation and Biomolecular Condensates , 2019, Cell.

[36]  R. Pappu,et al.  Spontaneous driving forces give rise to protein−RNA condensates with coexisting phases and complex material properties , 2018, Proceedings of the National Academy of Sciences.

[37]  R. Pappu,et al.  Conformational preferences and phase behavior of intrinsically disordered low complexity sequences: insights from multiscale simulations. , 2019, Current opinion in structural biology.

[38]  S. A. Izmailov,et al.  What Drives 15N Spin Relaxation in Disordered Proteins? Combined NMR/MD Study of the H4 Histone Tail. , 2018, Biophysical journal.

[39]  R. Pappu,et al.  A Molecular Grammar Governing the Driving Forces for Phase Separation of Prion-like RNA Binding Proteins , 2018, Cell.

[40]  C. Holt,et al.  FUS Phase Separation Is Modulated by a Molecular Chaperone and Methylation of Arginine Cation-π Interactions , 2018, Cell.

[41]  C. Brangwynne,et al.  Physical principles of intracellular organization via active and passive phase transitions , 2018, Reports on progress in physics. Physical Society.

[42]  Hong Lin,et al.  Pi-Pi contacts are an overlooked protein feature relevant to phase separation , 2018, eLife.

[43]  Nicolas L. Fawzi,et al.  Mechanistic View of hnRNPA2 Low-Complexity Domain Structure, Interactions, and Phase Separation Altered by Mutation and Arginine Methylation. , 2018, Molecular cell.

[44]  J. Korb Multiscale nuclear magnetic relaxation dispersion of complex liquids in bulk and confinement. , 2018, Progress in nuclear magnetic resonance spectroscopy.

[45]  L. Kay,et al.  Probing Conformational Exchange in Weakly Interacting, Slowly Exchanging Protein Systems via Off-Resonance R1ρ Experiments: Application to Studies of Protein Phase Separation. , 2018, Journal of the American Chemical Society.

[46]  Wenwei Zheng,et al.  Sequence determinants of protein phase behavior from a coarse-grained model , 2017, bioRxiv.

[47]  M. Blackledge,et al.  Analytical Description of NMR Relaxation Highlights Correlated Dynamics in Intrinsically Disordered Proteins. , 2017, Angewandte Chemie.

[48]  C. Brangwynne,et al.  Liquid phase condensation in cell physiology and disease , 2017, Science.

[49]  H. Chan,et al.  Structural and hydrodynamic properties of an intrinsically disordered region of a germ cell-specific protein on phase separation , 2017, Proceedings of the National Academy of Sciences.

[50]  E. Mandelkow,et al.  Liquid–liquid phase separation of the microtubule-binding repeats of the Alzheimer-related protein Tau , 2017, Nature Communications.

[51]  R. Kimmich,et al.  Self-diffusion studies by intra- and inter-molecular spin-lattice relaxometry using field-cycling: Liquids, plastic crystals, porous media, and polymer segments. , 2017, Progress in nuclear magnetic resonance spectroscopy.

[52]  Rohit V Pappu,et al.  Intrinsically disordered linkers determine the interplay between phase separation and gelation in multivalent proteins , 2017, bioRxiv.

[53]  Ming-Tzo Wei,et al.  Phase behaviour of disordered proteins underlying low density and high permeability of liquid organelles. , 2017, Nature chemistry.

[54]  Lisa D. Muiznieks,et al.  Direct observation of structure and dynamics during phase separation of an elastomeric protein , 2017, Proceedings of the National Academy of Sciences.

[55]  M. Blackledge,et al.  Multi-Timescale Dynamics in Intrinsically Disordered Proteins from NMR Relaxation and Molecular Simulation. , 2016, The journal of physical chemistry letters.

[56]  M. Blackledge,et al.  Identification of Dynamic Modes in an Intrinsically Disordered Protein Using Temperature-Dependent NMR Relaxation. , 2016, Journal of the American Chemical Society.

[57]  A. Palmer,et al.  Dynamics of GCN4 facilitate DNA interaction: a model-free analysis of an intrinsically disordered region. , 2016, Physical chemistry chemical physics : PCCP.

[58]  Peter Tompa,et al.  Polymer physics of intracellular phase transitions , 2015, Nature Physics.

[59]  Nicolas L. Fawzi,et al.  Residue-by-Residue View of In Vitro FUS Granules that Bind the C-Terminal Domain of RNA Polymerase II. , 2015, Molecular cell.

[60]  P. Pelupessy,et al.  Distribution of Pico- and Nanosecond Motions in Disordered Proteins from Nuclear Spin Relaxation , 2015, Biophysical journal.

[61]  M. Blackledge,et al.  Visualizing the molecular recognition trajectory of an intrinsically disordered protein using multinuclear relaxation dispersion NMR. , 2015, Journal of the American Chemical Society.

[62]  Woonghee Lee,et al.  NMRFAM-SPARKY: enhanced software for biomolecular NMR spectroscopy , 2014, Bioinform..

[63]  Martin Blackledge,et al.  Testing the validity of ensemble descriptions of intrinsically disordered proteins , 2014, Proceedings of the National Academy of Sciences.

[64]  V. Sklenar,et al.  Spectral density mapping protocols for analysis of molecular motions in disordered proteins , 2014, Journal of biomolecular NMR.

[65]  Peter M. Kasson,et al.  GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit , 2013, Bioinform..

[66]  C. Jaroniec,et al.  Nmrglue: an open source Python package for the analysis of multidimensional NMR data , 2013, Journal of biomolecular NMR.

[67]  B. Schuler,et al.  Single-molecule spectroscopy of protein folding dynamics--expanding scope and timescales. , 2013, Current opinion in structural biology.

[68]  A. Hyman,et al.  Beyond Oil and Water—Phase Transitions in Cells , 2012, Science.

[69]  A. Bax,et al.  Measurement of 15N relaxation rates in perdeuterated proteins by TROSY-based methods , 2012, Journal of biomolecular NMR.

[70]  Jimin Pei,et al.  Cell-free Formation of RNA Granules: Low Complexity Sequence Domains Form Dynamic Fibers within Hydrogels , 2012, Cell.

[71]  Paul S. Russo,et al.  Phase Transitions in the Assembly of MultiValent Signaling Proteins , 2016 .

[72]  Sonia Longhi,et al.  Intrinsic disorder in measles virus nucleocapsids , 2011, Proceedings of the National Academy of Sciences.

[73]  A. Bax,et al.  SPARTA+: a modest improvement in empirical NMR chemical shift prediction by means of an artificial neural network , 2010, Journal of biomolecular NMR.

[74]  L. Kay,et al.  An improved 15N relaxation dispersion experiment for the measurement of millisecond time-scale dynamics in proteins. , 2008, The journal of physical chemistry. B.

[75]  B. Halle,et al.  Cell water dynamics on multiple time scales , 2008, Proceedings of the National Academy of Sciences.

[76]  M. Parrinello,et al.  Canonical sampling through velocity rescaling. , 2007, The Journal of chemical physics.

[77]  Igor Polikarpov,et al.  Average protein density is a molecular‐weight‐dependent function , 2004, Protein science : a publication of the Protein Society.

[78]  P. Pelupessy,et al.  Symmetrical reconversion: measuring cross-correlation rates with enhanced accuracy. , 2003, Journal of magnetic resonance.

[79]  Rafael Brüschweiler,et al.  Contact model for the prediction of NMR N-H order parameters in globular proteins. , 2002, Journal of the American Chemical Society.

[80]  Rafael Brüschweiler,et al.  General framework for studying the dynamics of folded and nonfolded proteins by NMR relaxation spectroscopy and MD simulation. , 2002, Journal of the American Chemical Society.

[81]  Lorna J. Smith,et al.  Long-Range Interactions Within a Nonnative Protein , 2002, Science.

[82]  R Brüschweiler,et al.  Reorientational eigenmode dynamics: a combined MD/NMR relaxation analysis method for flexible parts in globular proteins. , 2001, Journal of the American Chemical Society.

[83]  R. Brüschweiler,et al.  Backbone dynamics and structural characterization of the partially folded A state of ubiquitin by 1H, 13C, and 15N nuclear magnetic resonance spectroscopy. , 1997, Biochemistry.

[84]  L. Kay,et al.  Contributions to protein entropy and heat capacity from bond vector motions measured by NMR spin relaxation. , 1997, Journal of molecular biology.

[85]  Berk Hess,et al.  LINCS: A linear constraint solver for molecular simulations , 1997, J. Comput. Chem..

[86]  T. Darden,et al.  A smooth particle mesh Ewald method , 1995 .

[87]  S. Grzesiek,et al.  NMRPipe: A multidimensional spectral processing system based on UNIX pipes , 1995, Journal of biomolecular NMR.

[88]  A. Szabó,et al.  Model-free approach to the interpretation of nuclear magnetic resonance relaxation in macromolecules. 1. Theory and range of validity , 1982 .

[89]  M. Parrinello,et al.  Polymorphic transitions in single crystals: A new molecular dynamics method , 1981 .

[90]  M. Huggins Some Properties of Solutions of Long-chain Compounds. , 1942 .

[91]  P. Flory Thermodynamics of High Polymer Solutions , 1941 .