scholarly journals Sequence dependent co-phase separation of RNA-protein mixtures elucidated using molecular simulations

2020 ◽  
Author(s):  
Roshan Mammen Regy ◽  
Gregory L. Dignon ◽  
Wenwei Zheng ◽  
Young Chan Kim ◽  
Jeetain Mittal
Keyword(s):  
Phase Separation ◽  
Intrinsically Disordered Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Experimental Studies ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Sequence Specificity ◽  
Intrinsically Disordered ◽  
Modelling Framework

ABSTRACTRibonucleoprotein (RNP) granules are membraneless organelles (MLOs) which majorly consist of RNA and RNA-binding proteins and are formed via liquid-liquid phase separation (LLPS). Experimental studies investigating the drivers of LLPS have shown that intrinsically disordered proteins (IDPs) and nucleic acids like RNA play a key role in modulating protein phase separation. There is currently a dearth of modelling techniques which allow one to delve deeper into how RNA plays its role as a modulator/promoter of LLPS in cells using computational methods. Here we present a coarse-grained RNA model developed to fill this gap, which together with our recently developed HPS model for protein LLPS, allows us to capture the factors driving RNA-protein co-phase separation. We explore the capabilities of the modelling framework with the LAF-1 RGG/RNA system which has been well studied in experiments and also with the HPS model previously. Further taking advantage of the fact that the HPS model maintains sequence specificity we explore the role of charge patterning on controlling RNA incorporation into condensates. With increased charge patterning we observe formation of structured or patterned condensates which suggests the possible roles of RNA in not only shifting the phase boundaries but also introducing microscopic organization in MLOs.

scholarly journals Sequence dependent phase separation of protein-polynucleotide mixtures elucidated using molecular simulations

2020 ◽  
Vol 48 (22) ◽  
pp. 12593-12603 ◽  
Author(s):  
Roshan Mammen Regy ◽  
Gregory L Dignon ◽  
Wenwei Zheng ◽  
Young C Kim ◽  
Jeetain Mittal
Keyword(s):  
Phase Separation ◽  
Intrinsically Disordered Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Experimental Studies ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Sequence Specificity ◽  
Intrinsically Disordered

Abstract Ribonucleoprotein (RNP) granules are membraneless organelles (MLOs), which majorly consist of RNA and RNA-binding proteins and are formed via liquid–liquid phase separation (LLPS). Experimental studies investigating the drivers of LLPS have shown that intrinsically disordered proteins (IDPs) and nucleic acids like RNA and other polynucleotides play a key role in modulating protein phase separation. There is currently a dearth of modelling techniques which allow one to delve deeper into how polynucleotides play the role of a modulator/promoter of LLPS in cells using computational methods. Here, we present a coarse-grained polynucleotide model developed to fill this gap, which together with our recently developed HPS model for protein LLPS, allows us to capture the factors driving protein-polynucleotide phase separation. We explore the capabilities of the modelling framework with the LAF-1 RGG system which has been well studied in experiments and also with the HPS model previously. Further taking advantage of the fact that the HPS model maintains sequence specificity we explore the role of charge patterning on controlling polynucleotide incorporation into condensates. With increased charge patterning we observe formation of structured or patterned condensates which suggests the possible roles of polynucleotides in not only shifting the phase boundaries but also introducing microscopic organization in MLOs.

scholarly journals RNA Droplets

2020 ◽  
Vol 49 (1) ◽  
pp. 247-265 ◽  
Author(s):  
Kevin Rhine ◽  
Velinda Vidaurre ◽  
Sua Myong
Keyword(s):  
Phase Separation ◽  
Intrinsically Disordered Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Disordered Proteins ◽  
In Vivo Studies ◽  
Anionic Polymer ◽  
Temporal And Spatial Distribution ◽  
Intrinsically Disordered ◽  
Rnp Granules

Liquid–liquid phase separation is emerging as the universal mechanism by which membraneless cellular granules form. Despite many previous studies on condensation of intrinsically disordered proteins and low complexity domains, we lack understanding about the role of RNA, which is the essential component of all ribonucleoprotein (RNP) granules. RNA, as an anionic polymer, is inherently an excellent platform for achieving multivalency and can accommodate many RNA binding proteins. Recent findings have highlighted the diverse function of RNA in tuning phase-separation propensity up or down, altering viscoelastic properties and thereby driving immiscibility between different condensates. In addition to contributing to the biophysical properties of droplets, RNA is a functionally critical constituent that defines the identity of cellular condensates and controls the temporal and spatial distribution of specific RNP granules. In this review, we summarize what we have learned so far about such roles of RNA in the context of in vitro and in vivo studies.

scholarly journals Identifying sequence perturbations to an intrinsically disordered protein that determine its phase-separation behavior

2020 ◽  
Vol 117 (21) ◽  
pp. 11421-11431 ◽  
Author(s):  
Benjamin S. Schuster ◽  
Gregory L. Dignon ◽  
Wai Shing Tang ◽  
Fleurie M. Kelley ◽  
Aishwarya Kanchi Ranganath ◽  
...  
Keyword(s):  
Phase Separation ◽  
Intrinsically Disordered Proteins ◽  
Lipid Membrane ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Sequence Features ◽  
Intrinsically Disordered ◽  
Arginine Residues

Phase separation of intrinsically disordered proteins (IDPs) commonly underlies the formation of membraneless organelles, which compartmentalize molecules intracellularly in the absence of a lipid membrane. Identifying the protein sequence features responsible for IDP phase separation is critical for understanding physiological roles and pathological consequences of biomolecular condensation, as well as for harnessing phase separation for applications in bioinspired materials design. To expand our knowledge of sequence determinants of IDP phase separation, we characterized variants of the intrinsically disordered RGG domain from LAF-1, a model protein involved in phase separation and a key component of P granules. Based on a predictive coarse-grained IDP model, we identified a region of the RGG domain that has high contact probability and is highly conserved between species; deletion of this region significantly disrupts phase separation in vitro and in vivo. We determined the effects of charge patterning on phase behavior through sequence shuffling. We designed sequences with significantly increased phase separation propensity by shuffling the wild-type sequence, which contains well-mixed charged residues, to increase charge segregation. This result indicates the natural sequence is under negative selection to moderate this mode of interaction. We measured the contributions of tyrosine and arginine residues to phase separation experimentally through mutagenesis studies and computationally through direct interrogation of different modes of interaction using all-atom simulations. Finally, we show that despite these sequence perturbations, the RGG-derived condensates remain liquid-like. Together, these studies advance our fundamental understanding of key biophysical principles and sequence features important to phase separation.

scholarly journals A predictive coarse-grained model for position-specific effects of post-translational modifications on disordered protein phase separation

2020 ◽  
Author(s):  
T. M. Perdikari ◽  
N. Jovic ◽  
G. L. Dignon ◽  
Y. C. Kim ◽  
N. L. Fawzi ◽  
...  
Keyword(s):  
Amino Acids ◽  
Phase Separation ◽  
Phase Behavior ◽  
Intrinsically Disordered Proteins ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Post Translational Modifications ◽  
Coarse Grained Model ◽  
Intrinsically Disordered ◽  
Liquid Liquid Phase Separation

AbstractBiomolecules undergo liquid-liquid phase separation (LLPS) resulting in the formation of multicomponent protein-RNA membraneless organelles in cells. However, the physiological and pathological role of post translational modifications (PTMs) on the biophysics of phase behavior is only beginning to be probed. To study the effect of PTMs on LLPS in silico, we extend our transferable coarse-grained model of intrinsically disordered proteins to include phosphorylated and acetylated amino acids. Using the parameters for modified amino acids available for fixed charge atomistic forcefields, we parameterize the size and atomistic hydropathy of the coarse-grained modified amino acid beads, and hence the interactions between the modified and natural amino acids. We then elucidate how the number and position of phosphorylated and acetylated residues alter the protein’s single chain compactness and its propensity to phase separate. We show that both the number and the position of phosphorylated threonines/serines or acetylated lysines can serve as a molecular on/off switch for phase separation in the well-studied disordered regions of FUS and DDX3X, respectively. We also compare modified residues to their commonly used PTM mimics for their impact on chain properties. Importantly, we show that the model can predict and capture experimentally measured differences in the phase behavior for position-specific modifications, showing that the position of modifications can dictate phase separation. In sum, this model will be useful for studying LLPS of post-translationally modified intrinsically disordered proteins and predicting how modifications control phase behavior with position-specific resolution.Statement of SignificancePost-translational modifications are important regulators of liquid-liquid phase separation (LLPS) which drives the formation of biomolecular condensates. Theoretical methods can be used to characterize the biophysical properties of intrinsically disordered proteins (IDPs). Our recent framework for molecular simulations using a Cα-centered coarse-grained model can predict the effect of various perturbations such as mutations (Dignon et al. PloS Comput. Biol, 2018) and temperature (Dignon et al, ACS Cent. Sci., 2019) on LLPS. Here, we expand this framework to incorporate modified residues like phosphothreonine, phosphoserine and acetylysine. This model will prove useful for simulating the phase separation of post-translationally modified IDPs and predicting how position-specific modifications can control phase behavior across the large family of proteins known to be phosphorylated and acetylated.

scholarly journals Interactions between the Intrinsically Disordered Regions of hnRNP-A2 and TDP-43 Accelerate TDP-43′s Conformational Transition

2020 ◽  
Vol 21 (16) ◽  
pp. 5930
Author(s):  
Wan-Chin Chiang ◽  
Ming-Hsuan Lee ◽  
Tsai-Chen Chen ◽  
Jie-rong Huang
Keyword(s):  
Intrinsically Disordered Proteins ◽  
Rna Binding ◽  
Conformational Transition ◽  
Rna Binding Proteins ◽  
Sequence Similarity ◽  
Disordered Proteins ◽  
General Mechanism ◽  
Intrinsically Disordered ◽  
Intrinsically Disordered Regions ◽  
Disordered Regions

Most biological functions involve protein–protein interactions. Our understanding of these interactions is based mainly on those of structured proteins, because encounters between intrinsically disordered proteins (IDPs) or proteins with intrinsically disordered regions (IDRs) are much less studied, regardless of the fact that more than half eukaryotic proteins contain IDRs. RNA-binding proteins (RBPs) are a large family whose members almost all have IDRs in addition to RNA binding domains. These IDRs, having low sequence similarity, interact, but structural details on these interactions are still lacking. Here, using the IDRs of two RBPs (hnRNA-A2 and TDP-43) as a model, we demonstrate that the rate at which TDP-43′s IDR undergoes the neurodegenerative disease related α-helix-to-β-sheet transition increases in relation to the amount of hnRNP-A2′s IDR that is present. There are more than 1500 RBPs in human cells and most of them have IDRs. RBPs often join the same complexes to regulate genes. In addition to the structured RNA-recognition motifs, our study demonstrates a general mechanism through which RBPs may regulate each other’s functions through their IDRs.

scholarly journals Coupling Bulk Phase Separation of Disordered Proteins to Membrane Domain Formation in Molecular Simulations on a Bespoke Compute Fabric

Membranes ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 17
Author(s):  
Julian C. Shillcock ◽  
David B. Thomas ◽  
Jonathan R. Beaumont ◽  
Graeme M. Bragg ◽  
Mark L. Vousden ◽  
...  
Keyword(s):  
Phase Separation ◽  
Intrinsically Disordered Proteins ◽  
Lipid Membrane ◽  
Molecular Simulations ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Computational Techniques ◽  
Domain Formation ◽  
Intrinsically Disordered ◽  
Ideal Mixing

Phospholipid membranes surround the cell and its internal organelles, and their multicomponent nature allows the formation of domains that are important in cellular signalling, the immune system, and bacterial infection. Cytoplasmic compartments are also created by the phase separation of intrinsically disordered proteins into biomolecular condensates. The ubiquity of lipid membranes and protein condensates raises the question of how three-dimensional droplets might interact with two-dimensional domains, and whether this coupling has physiological or pathological importance. Here, we explore the equilibrium morphologies of a dilute phase of a model disordered protein interacting with an ideal-mixing, two-component lipid membrane using coarse-grained molecular simulations. We find that the proteins can wet the membrane with and without domain formation, and form phase separated droplets bound to membrane domains. Results from much larger simulations performed on a novel non-von-Neumann compute architecture called POETS, which greatly accelerates their execution compared to conventional hardware, confirm the observations. Reducing the wall clock time for such simulations requires new architectures and computational techniques. We demonstrate here an inter-disciplinary approach that uses real-world biophysical questions to drive the development of new computing hardware and simulation algorithms.

scholarly journals Model for disordered proteins with strongly sequence-dependent liquid phase behavior

2019 ◽  
Author(s):  
Antonia Statt ◽  
Helena Casademunt ◽  
Clifford P. Brangwynne ◽  
Athanassios Z. Panagiotopoulos
Keyword(s):  
Phase Separation ◽  
Liquid Phase ◽  
Phase Behavior ◽  
Intrinsically Disordered Proteins ◽  
Protein A ◽  
Liquid Phase Separation ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Intrinsically Disordered ◽  
Liquid Liquid Phase Separation

Phase separation of intrinsically disordered proteins is important for the formation of membraneless organelles, or biomolecular condensates, which play key roles in the regulation of biochemical processes within cells. In this work, we investigated the phase separation of different sequences of a coarse-grained model for intrinsically disordered proteins and discovered a surprisingly rich phase behavior. We studied both the fraction of total hydrophobic parts and the distribution of hydrophobic parts. Not surprisingly, sequences with larger hydrophobic fractions showed conventional liquid-liquid phase separation. The location of the critical point was systematically influenced by the terminal beads of the sequence, due to changes in interfacial composition and tension. For sequences with lower hydrophobicity, we observed not only conventional liquid-liquid phase separation, but also reentrant phase behavior, in which the liquid phase density decreases at lower temperatures. For some sequences, we observed formation of open phases consisting of aggregates, rather than a normal liquid. These aggregates had overall lower densities than the conventional liquid phases, and exhibited complex geometries with large interconnected string-like or membrane-like clusters. Our findings suggest that minor alterations in the ordering of residues may lead to large changes in the phase behavior of the protein, a fact of significant potential relevance for biology.

scholarly journals Structure of biomolecular condensates from dissipative particle dynamics simulations

2019 ◽  
Author(s):  
Julian C. Shillcock ◽  
Maelick Brochut ◽  
Etienne Chénais ◽  
John H. Ipsen
Keyword(s):  
Phase Separation ◽  
Liquid Phase ◽  
Intrinsically Disordered Proteins ◽  
Liquid Phase Separation ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Intrinsically Disordered ◽  
Wide Range ◽  
End Caps ◽  
Liquid Liquid Phase Separation

ABSTRACTPhase separation of immiscible fluids is a common phenomenon in polymer chemistry, and is recognized as an important mechanism by which cells compartmentalize their biochemical reactions. Biomolecular condensates are condensed fluid droplets in cells that form by liquid-liquid phase separation of intrinsically-disordered proteins. They have a wide range of functions and are associated with chronic neurodegenerative diseases in which they become pathologically rigid. Intrinsically-disordered proteins are conformationally flexible and possess multiple, distributed binding sites for each other or for RNA. However, it remains unclear how their material properties depend on the molecular structure of the proteins. Here we use coarse-grained simulations to explore the phase behavior and structure of a model biomolecular condensate composed of semi-flexible polymers with attractive end-caps in a good solvent. Although highly simplified, the model contains the minimal molecular features that are sufficient to observe liquid-liquid phase separation of soluble polymers. The polymers condense into a porous, three-dimensional network in which their end-caps reversibly bind at junctions. The spatial separation of connected junctions scales with the polymer backbone length as a self-avoiding random walk over a wide range of concentration with a weak affinity-dependent prefactor. By contrast, the average number of polymers that meet at the junctions depends strongly on the end-cap affinity but only weakly on the polymer length. The regularity and porosity of the condensed network suggests a mechanism for cells to regulate biomolecular condensates. Interaction sites along a protein may be turned on or off to modulate the condensate’s porosity and tune the diffusion and interaction of additional proteins.

scholarly journals Deciphering how naturally occurring sequence features impact the phase behaviors of disordered prion-like domains

2021 ◽  
Author(s):  
Anne Bremer ◽  
Mina Farag ◽  
Wade M. Borcherds ◽  
Ivan Peran ◽  
Erik W. Martin ◽  
...  
Keyword(s):  
Phase Separation ◽  
Rna Binding ◽  
Driving Forces ◽  
Rna Binding Proteins ◽  
Low Complexity ◽  
Coarse Grained ◽  
Coarse Grained Model ◽  
Intrinsically Disordered ◽  
Lysine Residues ◽  
Arginine Residues

AbstractPhase separation of intrinsically disordered prion-like low-complexity domains (PLCDs) derived from RNA-binding proteins enable the formation of biomolecular condensates in cells. PLCDs have distinct amino acid compositions, and here we decipher the physicochemical impact of conserved compositional biases on the driving forces for phase separation. We find that tyrosine residues make for stronger drivers of phase separation than phenylalanine. Depending on their sequence contexts, arginine residues enhance or weaken phase separation, whereas lysine residues weaken cohesive interactions within PLCDs. Increased net charge per residue (NCPR) weakens the driving forces for phase separation of PLCDs and this effect can be modeled quantitatively. The effects of NCPR also weaken known correlations between the dimensions of single chains in dilute solution and the driving forces for phase separation. We build on experimental data to develop a coarse-grained model for accurate simulations of phase separation that yield novel insights regarding PLCD phase behavior.

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