Literature DB >> 24721451

Studying post-translational modifications with protein interaction networks.

Jonathan Woodsmith1, Ulrich Stelzl2.   

Abstract

At least 46 interactome studies, broad at proteome scale or biologically more focused, have together mapped about 75,000 human protein-protein interactions (PPIs). Many of the studies addressed local interactome data paucity analyzing specific homeostatic and regulatory systems, with recent focus demonstrating the involvement of post-translational protein modification (PTM) enzyme families in a wide range of cellular functions. These datasets provided insight into binding mechanisms, the dynamic modularity of complexes or delineated combinatorial enzymatic cascades. Furthermore, the combined study of PPI and PTM dynamics has begun to reveal conditional rewiring of molecular networks through PTM-mediated recognition events. Taken together these studies highlight the utility of local and global interaction networks to functionally prioritize the many changing PTMs mapped in human cells.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 24721451     DOI: 10.1016/j.sbi.2013.11.009

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  23 in total

1.  Quantifying noise in mass spectrometry and yeast two-hybrid protein interaction detection experiments.

Authors:  A Annibale; A C C Coolen; N Planell-Morell
Journal:  J R Soc Interface       Date:  2015-09-06       Impact factor: 4.118

2.  PKA-mediated phosphorylation of Dexras1 suppresses iron trafficking by inhibiting S-nitrosylation.

Authors:  Yong Chen; Lauren Mathias; Juliana M Falero-Perez; Sangwon F Kim
Journal:  FEBS Lett       Date:  2015-09-07       Impact factor: 4.124

Review 3.  Network Medicine in Pathobiology.

Authors:  Laurel Yong-Hwa Lee; Joseph Loscalzo
Journal:  Am J Pathol       Date:  2019-04-20       Impact factor: 4.307

4.  iPTMnet: an integrated resource for protein post-translational modification network discovery.

Authors:  Hongzhan Huang; Cecilia N Arighi; Karen E Ross; Jia Ren; Gang Li; Sheng-Chih Chen; Qinghua Wang; Julie Cowart; K Vijay-Shanker; Cathy H Wu
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

5.  Systematic Protein-Protein Interaction Analysis Reveals Intersubcomplex Contacts in the Nuclear Pore Complex.

Authors:  Luise Apelt; Kevin E Knockenhauer; Nina C Leksa; Nouhad Benlasfer; Thomas U Schwartz; Ulrich Stelzl
Journal:  Mol Cell Proteomics       Date:  2016-05-18       Impact factor: 5.911

Review 6.  Next-generation Interactomics: Considerations for the Use of Co-elution to Measure Protein Interaction Networks.

Authors:  Daniela Salas; R Greg Stacey; Mopelola Akinlaja; Leonard J Foster
Journal:  Mol Cell Proteomics       Date:  2019-12-02       Impact factor: 5.911

7.  Defining Human Tyrosine Kinase Phosphorylation Networks Using Yeast as an In Vivo Model Substrate.

Authors:  Thomas Corwin; Jonathan Woodsmith; Federico Apelt; Jean-Fred Fontaine; David Meierhofer; Johannes Helmuth; Arndt Grossmann; Miguel A Andrade-Navarro; Bryan A Ballif; Ulrich Stelzl
Journal:  Cell Syst       Date:  2017-08-23       Impact factor: 10.304

8.  Protein interaction perturbation profiling at amino-acid resolution.

Authors:  Jonathan Woodsmith; Luise Apelt; Victoria Casado-Medrano; Ziya Özkan; Bernd Timmermann; Ulrich Stelzl
Journal:  Nat Methods       Date:  2017-10-16       Impact factor: 28.547

Review 9.  Proteome-Scale Human Interactomics.

Authors:  Katja Luck; Gloria M Sheynkman; Ivy Zhang; Marc Vidal
Journal:  Trends Biochem Sci       Date:  2017-03-08       Impact factor: 13.807

10.  Context-enriched interactome powered by proteomics helps the identification of novel regulators of macrophage activation.

Authors:  Arda Halu; Jian-Guo Wang; Hiroshi Iwata; Alexander Mojcher; Ana Luisa Abib; Sasha A Singh; Masanori Aikawa; Amitabh Sharma
Journal:  Elife       Date:  2018-10-10       Impact factor: 8.140

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