Literature DB >> 32393642

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

Benjamin S Schuster1,2, Gregory L Dignon3,4, Wai Shing Tang5, Fleurie M Kelley2, Aishwarya Kanchi Ranganath2, Craig N Jahnke6, Alison G Simpkins6, Roshan Mammen Regy3, Daniel A Hammer1,6, Matthew C Good1,7, Jeetain Mittal8.   

Abstract

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.

Entities:  

Keywords:  liquid–liquid phase separation; membraneless organelles; molecular simulations

Year:  2020        PMID: 32393642      PMCID: PMC7261017          DOI: 10.1073/pnas.2000223117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  61 in total

1.  A theoretical method to compute sequence dependent configurational properties in charged polymers and proteins.

Authors:  Lucas Sawle; Kingshuk Ghosh
Journal:  J Chem Phys       Date:  2015-08-28       Impact factor: 3.488

2.  Six classes of nuclear localization signals specific to different binding grooves of importin alpha.

Authors:  Shunichi Kosugi; Masako Hasebe; Nobutaka Matsumura; Hideaki Takashima; Etsuko Miyamoto-Sato; Masaru Tomita; Hiroshi Yanagawa
Journal:  J Biol Chem       Date:  2008-11-10       Impact factor: 5.157

3.  Engineered Ribonucleoprotein Granules Inhibit Translation in Protocells.

Authors:  Joseph R Simon; Seyed Ali Eghtesadi; Michael Dzuricky; Lingchong You; Ashutosh Chilkoti
Journal:  Mol Cell       Date:  2019-06-04       Impact factor: 17.970

Review 4.  Membraneless nuclear organelles and the search for phases within phases.

Authors:  Iain A Sawyer; David Sturgill; Miroslav Dundr
Journal:  Wiley Interdiscip Rev RNA       Date:  2018-10-25       Impact factor: 9.957

5.  Convergence of Artificial Protein Polymers and Intrinsically Disordered Proteins.

Authors:  Michael Dzuricky; Stefan Roberts; Ashutosh Chilkoti
Journal:  Biochemistry       Date:  2018-04-23       Impact factor: 3.162

6.  The liquid structure of elastin.

Authors:  Sarah Rauscher; Régis Pomès
Journal:  Elife       Date:  2017-11-09       Impact factor: 8.140

7.  Controllable protein phase separation and modular recruitment to form responsive membraneless organelles.

Authors:  Benjamin S Schuster; Ellen H Reed; Ranganath Parthasarathy; Craig N Jahnke; Reese M Caldwell; Jessica G Bermudez; Holly Ramage; Matthew C Good; Daniel A Hammer
Journal:  Nat Commun       Date:  2018-07-30       Impact factor: 14.919

Review 8.  Biomolecular condensates: organizers of cellular biochemistry.

Authors:  Salman F Banani; Hyun O Lee; Anthony A Hyman; Michael K Rosen
Journal:  Nat Rev Mol Cell Biol       Date:  2017-02-22       Impact factor: 94.444

9.  Polycation-π interactions are a driving force for molecular recognition by an intrinsically disordered oncoprotein family.

Authors:  Jianhui Song; Sheung Chun Ng; Peter Tompa; Kevin A W Lee; Hue Sun Chan
Journal:  PLoS Comput Biol       Date:  2013-09-26       Impact factor: 4.475

10.  Hydrogen bond guidance and aromatic stacking drive liquid-liquid phase separation of intrinsically disordered histidine-rich peptides.

Authors:  Bartosz Gabryelczyk; Hao Cai; Xiangyan Shi; Yue Sun; Piet J M Swinkels; Stefan Salentinig; Konstantin Pervushin; Ali Miserez
Journal:  Nat Commun       Date:  2019-11-29       Impact factor: 14.919

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  58 in total

1.  Comparative roles of charge, π, and hydrophobic interactions in sequence-dependent phase separation of intrinsically disordered proteins.

Authors:  Suman Das; Yi-Hsuan Lin; Robert M Vernon; Julie D Forman-Kay; Hue Sun Chan
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-02       Impact factor: 11.205

Review 2.  Phase Separation in Germ Cells and Development.

Authors:  Anne E Dodson; Scott Kennedy
Journal:  Dev Cell       Date:  2020-10-01       Impact factor: 12.270

3.  Hydropathy Patterning Complements Charge Patterning to Describe Conformational Preferences of Disordered Proteins.

Authors:  Wenwei Zheng; Gregory Dignon; Matthew Brown; Young C Kim; Jeetain Mittal
Journal:  J Phys Chem Lett       Date:  2020-04-17       Impact factor: 6.475

4.  Real-time observation of structure and dynamics during the liquid-to-solid transition of FUS LC.

Authors:  Raymond F Berkeley; Maryam Kashefi; Galia T Debelouchina
Journal:  Biophys J       Date:  2021-02-17       Impact factor: 4.033

5.  Effects of pH on an IDP conformational ensemble explored by molecular dynamics simulation.

Authors:  Richard J Lindsay; Rachael A Mansbach; S Gnanakaran; Tongye Shen
Journal:  Biophys Chem       Date:  2021-01-26       Impact factor: 2.352

6.  A predictive coarse-grained model for position-specific effects of post-translational modifications.

Authors:  Theodora Myrto Perdikari; Nina Jovic; Gregory L Dignon; Young C Kim; Nicolas L Fawzi; Jeetain Mittal
Journal:  Biophys J       Date:  2021-02-12       Impact factor: 4.033

Review 7.  Physics-based computational and theoretical approaches to intrinsically disordered proteins.

Authors:  Joan-Emma Shea; Robert B Best; Jeetain Mittal
Journal:  Curr Opin Struct Biol       Date:  2021-02-02       Impact factor: 6.809

8.  Molecular Details of Protein Condensates Probed by Microsecond Long Atomistic Simulations.

Authors:  Wenwei Zheng; Gregory L Dignon; Nina Jovic; Xichen Xu; Roshan M Regy; Nicolas L Fawzi; Young C Kim; Robert B Best; Jeetain Mittal
Journal:  J Phys Chem B       Date:  2020-12-10       Impact factor: 2.991

9.  Using a sequence-specific coarse-grained model for studying protein liquid-liquid phase separation.

Authors:  Roshan Mammen Regy; Wenwei Zheng; Jeetain Mittal
Journal:  Methods Enzymol       Date:  2020-08-17       Impact factor: 1.600

10.  Sequence determinants of in cell condensate morphology, dynamics, and oligomerization as measured by number and brightness analysis.

Authors:  Ryan J Emenecker; Alex S Holehouse; Lucia C Strader
Journal:  Cell Commun Signal       Date:  2021-06-05       Impact factor: 5.712

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