Literature DB >> 32997198

IDPology of the living cell: intrinsic disorder in the subcellular compartments of the human cell.

Bi Zhao1, Akila Katuwawala1, Vladimir N Uversky2,3, Lukasz Kurgan4.   

Abstract

Intrinsic disorder can be found in all proteomes of all kingdoms of life and in viruses, being particularly prevalent in the eukaryotes. We conduct a comprehensive analysis of the intrinsic disorder in the human proteins while mapping them into 24 compartments of the human cell. In agreement with previous studies, we show that human proteins are significantly enriched in disorder relative to a generic protein set that represents the protein universe. In fact, the fraction of proteins with long disordered regions and the average protein-level disorder content in the human proteome are about 3 times higher than in the protein universe. Furthermore, levels of intrinsic disorder in the majority of human subcellular compartments significantly exceed the average disorder content in the protein universe. Relative to the overall amount of disorder in the human proteome, proteins localized in the nucleus and cytoskeleton have significantly increased amounts of disorder, measured by both high disorder content and presence of multiple long intrinsically disordered regions. We empirically demonstrate that, on average, human proteins are assigned to 2.3 subcellular compartments, with proteins localized to few subcellular compartments being more disordered than the proteins that are localized to many compartments. Functionally, the disordered proteins localized in the most disorder-enriched subcellular compartments are primarily responsible for interactions with nucleic acids and protein partners. This is the first-time disorder is comprehensively mapped into the human cell. Our observations add a missing piece to the puzzle of functional disorder and its organization inside the cell.

Entities:  

Keywords:  Human cell; Intrinsic disorder; Intrinsically disordered proteins; Subcellular location

Year:  2020        PMID: 32997198     DOI: 10.1007/s00018-020-03654-0

Source DB:  PubMed          Journal:  Cell Mol Life Sci        ISSN: 1420-682X            Impact factor:   9.261


  131 in total

1.  Intrinsically Disordered Proteins: The Dark Horse of the Dark Proteome.

Authors:  Prakash Kulkarni; Vladimir N Uversky
Journal:  Proteomics       Date:  2018-10-24       Impact factor: 3.984

2.  Nature of the protein universe.

Authors:  Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-18       Impact factor: 11.205

3.  How disordered is my protein and what is its disorder for? A guide through the "dark side" of the protein universe.

Authors:  Philippe Lieutaud; François Ferron; Alexey V Uversky; Lukasz Kurgan; Vladimir N Uversky; Sonia Longhi
Journal:  Intrinsically Disord Proteins       Date:  2016-12-21

4.  Taxonomic Landscape of the Dark Proteomes: Whole-Proteome Scale Interplay Between Structural Darkness, Intrinsic Disorder, and Crystallization Propensity.

Authors:  Gang Hu; Kui Wang; Jiangning Song; Vladimir N Uversky; Lukasz Kurgan
Journal:  Proteomics       Date:  2018-10-08       Impact factor: 3.984

5.  Global view of the protein universe.

Authors:  Sergey Nepomnyachiy; Nir Ben-Tal; Rachel Kolodny
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-28       Impact factor: 11.205

Review 6.  Introducing protein intrinsic disorder.

Authors:  Johnny Habchi; Peter Tompa; Sonia Longhi; Vladimir N Uversky
Journal:  Chem Rev       Date:  2014-04-17       Impact factor: 60.622

7.  Finding Our Way in the Dark Proteome.

Authors:  Asmit Bhowmick; David H Brookes; Shane R Yost; H Jane Dyson; Julie D Forman-Kay; Daniel Gunter; Martin Head-Gordon; Gregory L Hura; Vijay S Pande; David E Wemmer; Peter E Wright; Teresa Head-Gordon
Journal:  J Am Chem Soc       Date:  2016-07-19       Impact factor: 15.419

8.  SCOP2 prototype: a new approach to protein structure mining.

Authors:  Antonina Andreeva; Dave Howorth; Cyrus Chothia; Eugene Kulesha; Alexey G Murzin
Journal:  Nucleic Acids Res       Date:  2013-11-29       Impact factor: 16.971

9.  CATH: comprehensive structural and functional annotations for genome sequences.

Authors:  Ian Sillitoe; Tony E Lewis; Alison Cuff; Sayoni Das; Paul Ashford; Natalie L Dawson; Nicholas Furnham; Roman A Laskowski; David Lee; Jonathan G Lees; Sonja Lehtinen; Romain A Studer; Janet Thornton; Christine A Orengo
Journal:  Nucleic Acids Res       Date:  2014-10-27       Impact factor: 19.160

10.  A global map of the protein shape universe.

Authors:  Xusi Han; Atilla Sit; Charles Christoffer; Siyang Chen; Daisuke Kihara
Journal:  PLoS Comput Biol       Date:  2019-04-12       Impact factor: 4.475

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  4 in total

Review 1.  Intrinsically Disordered Proteins: Critical Components of the Wetware.

Authors:  Prakash Kulkarni; Supriyo Bhattacharya; Srisairam Achuthan; Amita Behal; Mohit Kumar Jolly; Sourabh Kotnala; Atish Mohanty; Govindan Rangarajan; Ravi Salgia; Vladimir Uversky
Journal:  Chem Rev       Date:  2022-02-16       Impact factor: 72.087

2.  iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets.

Authors:  Zhen Chen; Xuhan Liu; Pei Zhao; Chen Li; Yanan Wang; Fuyi Li; Tatsuya Akutsu; Chris Bain; Robin B Gasser; Junzhou Li; Zuoren Yang; Xin Gao; Lukasz Kurgan; Jiangning Song
Journal:  Nucleic Acids Res       Date:  2022-05-07       Impact factor: 19.160

Review 3.  Deep learning in prediction of intrinsic disorder in proteins.

Authors:  Bi Zhao; Lukasz Kurgan
Journal:  Comput Struct Biotechnol J       Date:  2022-03-08       Impact factor: 7.271

4.  Compositional Bias of Intrinsically Disordered Proteins and Regions and Their Predictions.

Authors:  Bi Zhao; Lukasz Kurgan
Journal:  Biomolecules       Date:  2022-06-25
  4 in total

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