scholarly journals Assemblages: Functional units formed by cellular phase separation

2014 ◽  
Vol 206 (5) ◽  
pp. 579-588 ◽  
Author(s):  
Jeffrey A. Toretsky ◽  
Peter E. Wright
Keyword(s):  
Phase Separation ◽  
Intrinsically Disordered Proteins ◽  
Intrinsic Disorder ◽  
Low Complexity ◽  
Disordered Proteins ◽  
Intracellular Space ◽  
Intrinsically Disordered ◽  
Intrinsically Disordered Regions ◽  
Disease States ◽  
Membrane Bound

The partitioning of intracellular space beyond membrane-bound organelles can be achieved with collections of proteins that are multivalent or contain low-complexity, intrinsically disordered regions. These proteins can undergo a physical phase change to form functional granules or other entities within the cytoplasm or nucleoplasm that collectively we term “assemblage.” Intrinsically disordered proteins (IDPs) play an important role in forming a subset of cellular assemblages by promoting phase separation. Recent work points to an involvement of assemblages in disease states, indicating that intrinsic disorder and phase transitions should be considered in the development of therapeutics.

scholarly journals Relation between single-molecule properties and phase behavior of intrinsically disordered proteins

2018 ◽  
Vol 115 (40) ◽  
pp. 9929-9934 ◽  
Author(s):  
Gregory L. Dignon ◽  
Wenwei Zheng ◽  
Robert B. Best ◽  
Young C. Kim ◽  
Jeetain Mittal
Keyword(s):  
Phase Separation ◽  
Phase Behavior ◽  
Single Molecule ◽  
Intrinsically Disordered Proteins ◽  
Critical Role ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Phase Boundaries ◽  
Intrinsically Disordered ◽  
Intrinsically Disordered Regions

Proteins that undergo liquid–liquid phase separation (LLPS) have been shown to play a critical role in many physiological functions through formation of condensed liquid-like assemblies that function as membraneless organelles within biological systems. To understand how different proteins may contribute differently to these assemblies and their functions, it is important to understand the molecular driving forces of phase separation and characterize their phase boundaries and material properties. Experimental studies have shown that intrinsically disordered regions of these proteins are a major driving force, as many of them undergo LLPS in isolation. Previous work on polymer solution phase behavior suggests a potential correspondence between intramolecular and intermolecular interactions that can be leveraged to discover relationships between single-molecule properties and phase boundaries. Here, we take advantage of a recently developed coarse-grained framework to calculate the θ temperatureTθ, the Boyle temperatureTB, and the critical temperatureTcfor 20 diverse protein sequences, and we show that these three properties are highly correlated. We also highlight that these correlations are not specific to our model or simulation methodology by comparing between different pairwise potentials and with data from other work. We, therefore, suggest that smaller simulations or experiments to determineTθorTBcan provide useful insights into the corresponding phase behavior.

scholarly journals Critical Assessment of Protein Intrinsic Disorder Prediction

2020 ◽  
Author(s):  
Marco Necci ◽  
Damiano Piovesan ◽  
Silvio C.E. Tosatto ◽  
◽  
Keyword(s):  
Intrinsically Disordered Proteins ◽  
Intrinsic Disorder ◽  
Critical Assessment ◽  
Disordered Proteins ◽  
Blind Test ◽  
Disorder Prediction ◽  
Intrinsically Disordered ◽  
Intrinsically Disordered Regions ◽  
Binding Regions ◽  
Protein Intrinsic Disorder

AbstractIntrinsically disordered proteins defying the traditional protein structure-function paradigm represent a challenge to study experimentally. As a large part of our knowledge rests on computational predictions, it is crucial for their accuracy to be high. The Critical Assessment of protein Intrinsic Disorder prediction (CAID) experiment was established as a community-based blind test to determine the state of the art in predicting intrinsically disordered regions in proteins and the subset of disordered residues involved in binding other molecules. A total of 43 methods, 32 for disorder and 11 for binding regions, were evaluated on a dataset of 646 novel manually curated proteins from DisProt. The best methods use deep learning techniques and significantly outperform widely used earlier physicochemical methods across different types of targets. Disordered binding regions remain hard to predict correctly. Depending on the definition used, the top disorder predictor has an FMax of 0.483 (DisProt) or 0.792 (DisProt-PDB). As the top binding predictor only attains an FMax of 0.231, this suggests significant potential for improvement. Intriguingly, computing times among the top performing methods vary by up to four orders of magnitude.

scholarly journals Molecular details of protein condensates probed by microsecond-long atomistic simulations

2020 ◽  
Author(s):  
Wenwei Zheng ◽  
Gregory L. Dignon ◽  
Xichen Xu ◽  
Roshan M. Regy ◽  
Nicolas L. Fawzi ◽  
...  
Keyword(s):  
Phase Separation ◽  
Intrinsically Disordered Proteins ◽  
Low Complexity ◽  
Coarse Grained ◽  
Disordered Proteins ◽  
Intrinsically Disordered ◽  
Residue Interaction ◽  
Coarse Grained Simulations ◽  
Protein Density

AbstractThe formation of membraneless organelles in cells commonly occurs via liquid-liquid phase separation (LLPS), and is in many cases driven by multivalent interactions between intrinsically disordered proteins (IDPs). Molecular simulations can reveal the specific amino acid interactions driving LLPS, which is hard to obtain from experiment. Coarse-grained simulations have been used to directly observe the sequence determinants of phase separation but have limited spatial resolution, while all-atom simulations have yet to be applied to LLPS due to the challenges of large system sizes and long time scales relevant to phase separation. We present a novel multiscale computational framework by obtaining initial molecular configurations of a condensed protein-rich phase from equilibrium coarse-grained simulations, and back mapping to an all-atom representation. Using the specialized Anton 2 supercomputer, we resolve microscopic structural and dynamical details of protein condensates through microsecond-scale all-atom explicit-solvent simulations. We have studied two IDPs which phase separate in vitro: the low complexity domain of FUS and the N-terminal disordered domain of LAF-1. Using this approach, we explain the partitioning of ions between phases with low and high protein density, demonstrate that the proteins are remarkably dynamic within the condensed phase, identify the key residue-residue interaction modes stabilizing the dense phase, all while showing good agreement with experimental observations. Our approach is generally applicable to all-atom studies of other single and multi-component systems of proteins and nucleic acids involved in the formation of membraneless organelles.

scholarly journals New classification of intrinsic disorder in the Human proteome

2018 ◽  
Author(s):  
Antonio Deiana ◽  
Sergio Forcelloni ◽  
Alessandro Porrello ◽  
Andrea Giansanti
Keyword(s):  
Intrinsically Disordered Proteins ◽  
Chemical Properties ◽  
Intrinsic Disorder ◽  
Disordered Proteins ◽  
General Category ◽  
Nucleic Acid Binding ◽  
Functional Protein ◽  
Intrinsically Disordered ◽  
Intrinsically Disordered Regions

ABSTRACTWe propose a new, sequence-only, classification of intrinsically disordered human proteins which is based on two parameters: dr, the percentage of disordered residues, and Ld, the length of the longest disordered segment in the sequence. Depending on dr and Ld, we distinguish five variants: i) ordered proteins (ORDs); ii) not disordered proteins (NDPsj; (iii) proteins with intrinsically disordered regions (PDRs); iv) intrinsically disordered proteins (IDPs) and v) proteins with fragmented disorder (FRAGs). PDRs have been considered in the general category of intrinsically disordered proteins for a long time. We show that PDRs are closer to globular, ordered proteins (ORDs and NDPs) than to disordered ones (IDPs), both in amino acid composition and functionally. Moreover, NDPs and PDRs are uniformly spread over several functional protein classes, whereas IDPs are concentrated only on two, namely nucleic acid binding proteins and transcription factors, which are just a subset of the functions that are commonly associated with protein intrinsic disorder. As a conclusion, PDRs and IDPs should be considered, in future classifications, as distinct variants of disordered proteins, with different physical-chemical properties and functional spectra.

scholarly journals Seeing Keratinocyte Proteins through the Looking Glass of Intrinsic Disorder

2021 ◽  
Vol 22 (15) ◽  
pp. 7912
Author(s):  
Rambon Shamilov ◽  
Victoria L. Robinson ◽  
Brian J. Aneskievich
Keyword(s):  
Intrinsically Disordered Proteins ◽  
Amino Acid Content ◽  
Intrinsic Disorder ◽  
Low Complexity ◽  
Disordered Proteins ◽  
Keratinocyte Differentiation ◽  
Compositional Bias ◽  
Light Microscope Level ◽  
Intrinsically Disordered ◽  
Looking Glass

Epidermal keratinocyte proteins include many with an eccentric amino acid content (compositional bias), atypical ultrastructural fate (built-in protease sensitivity), or assembly visible at the light microscope level (cytoplasmic granules). However, when considered through the looking glass of intrinsic disorder (ID), these apparent oddities seem quite expected. Keratinocyte proteins with highly repetitive motifs are of low complexity but high adaptation, providing polymers (e.g., profilaggrin) for proteolysis into bioactive derivatives, or monomers (e.g., loricrin) repeatedly cross-linked to self and other proteins to shield underlying tissue. Keratohyalin granules developing from liquid–liquid phase separation (LLPS) show that unique biomolecular condensates (BMC) and proteinaceous membraneless organelles (PMLO) occur in these highly customized cells. We conducted bioinformatic and in silico assessments of representative keratinocyte differentiation-dependent proteins. This was conducted in the context of them having demonstrated potential ID with the prospect of that characteristic driving formation of distinctive keratinocyte structures. Intriguingly, while ID is characteristic of many of these proteins, it does not appear to guarantee LLPS, nor is it required for incorporation into certain keratinocyte protein condensates. Further examination of keratinocyte-specific proteins will provide variations in the theme of PMLO, possibly recognizing new BMC for advancements in understanding intrinsically disordered proteins as reflected by keratinocyte biology.

scholarly journals Critical assessment of protein intrinsic disorder prediction

2021 ◽  
Author(s):  
Marco Necci ◽  
◽  
Damiano Piovesan ◽  
Silvio C. E. Tosatto ◽  
Keyword(s):  
Intrinsically Disordered Proteins ◽  
Intrinsic Disorder ◽  
Critical Assessment ◽  
Disordered Proteins ◽  
Blind Test ◽  
Disorder Prediction ◽  
Intrinsically Disordered ◽  
Intrinsically Disordered Regions ◽  
Full Dataset ◽  
Protein Intrinsic Disorder

AbstractIntrinsically disordered proteins, defying the traditional protein structure–function paradigm, are a challenge to study experimentally. Because a large part of our knowledge rests on computational predictions, it is crucial that their accuracy is high. The Critical Assessment of protein Intrinsic Disorder prediction (CAID) experiment was established as a community-based blind test to determine the state of the art in prediction of intrinsically disordered regions and the subset of residues involved in binding. A total of 43 methods were evaluated on a dataset of 646 proteins from DisProt. The best methods use deep learning techniques and notably outperform physicochemical methods. The top disorder predictor has Fmax = 0.483 on the full dataset and Fmax = 0.792 following filtering out of bona fide structured regions. Disordered binding regions remain hard to predict, with Fmax = 0.231. Interestingly, computing times among methods can vary by up to four orders of magnitude.

scholarly journals Natural and designed proteins inspired by extremotolerant organisms can form condensates and attenuate apoptosis in human cells

2021 ◽  
Author(s):  
Mike T. Veling ◽  
Dan T. Nguyen ◽  
Nicole N. Thadani ◽  
Michela E. Oster ◽  
Nathan J. Rollins ◽  
...  
Keyword(s):  
Phase Separation ◽  
Intrinsically Disordered Proteins ◽  
Human Cells ◽  
Disordered Proteins ◽  
Cellular Protection ◽  
Intrinsically Disordered ◽  
Apoe Protein ◽  
Condensate Formation ◽  
Associated Proteins ◽  
Induced Apoptosis

ABSTRACTMany organisms can survive extreme conditions and successfully recover to normal life. This extremotolerant behavior has been attributed in part to repetitive, amphipathic, and intrinsically disordered proteins that are upregulated in the protected state. Here, we assemble a library of approximately 300 naturally-occurring and designed extremotolerance-associated proteins to assess their ability to protect human cells from chemically-induced apoptosis. We show that proteins from tardigrades, nematodes, and the Chinese giant salamander are apoptosis protective. Notably, we identify a region of the human ApoE protein with similarity to extremotolerance-associated proteins that also protects against apoptosis. This region mirrors the phase separation behavior seen with such proteins, like the tardigrade protein CAHS2. Moreover, we identify a synthetic protein, DHR81, that shares this combination of elevated phase separation propensity and apoptosis protection. Finally, we demonstrate that driving protective proteins into the condensate state increases apoptosis protection, and highlight the ability for DHR81 condensates to sequester caspase-7. Taken together, this work draws a link between extremotolerance-associated proteins, condensate formation, and human cellular protection.

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