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      Dual Coordination of Post Translational Modifications in Human Protein Networks

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          Abstract

          Post-translational modifications (PTMs) regulate protein activity, stability and interaction profiles and are critical for cellular functioning. Further regulation is gained through PTM interplay whereby modifications modulate the occurrence of other PTMs or act in combination. Integration of global acetylation, ubiquitination and tyrosine or serine/threonine phosphorylation datasets with protein interaction data identified hundreds of protein complexes that selectively accumulate each PTM, indicating coordinated targeting of specific molecular functions. A second layer of PTM coordination exists in these complexes, mediated by PTM integration (PTMi) spots. PTMi spots represent very dense modification patterns in disordered protein regions and showed an equally high mutation rate as functional protein domains in cancer, inferring equivocal importance for cellular functioning. Systematic PTMi spot identification highlighted more than 300 candidate proteins for combinatorial PTM regulation. This study reveals two global PTM coordination mechanisms and emphasizes dataset integration as requisite in proteomic PTM studies to better predict modification impact on cellular signaling.

          Author Summary

          Normal cellular functioning is maintained by a vast array of macro-molecular machines that control both core and specialised molecular tasks. These machines are in large part multi-subunit protein complexes that undergo regulation at multiple levels, from expression of requisite components to a vast array of post translational modifications (PTMs). PTMs such as phosphorylation, ubiquitination and acetylation currently number up to more than 100,000 in the human proteome yet how, or if, they coordinate remains poorly understood. Here we show two mechanisms of systematic modification coordination that likely combine to provide finer control of protein complex function. Firstly, individual modifications selectively target protein complexes to execute specific molecular functions. Secondly, highly modified subunits of these complexes further accumulate multiple distinct modifications and contain regions of dense modification patterns, termed PTM integration (PTMi) spots. Through multiple PTM inputs, PTMi spots represent key regions for integrating multiple signals within these complexes, allowing finer regulation of protein function. Here we highlight the large extent of coordinated PTM regulation of protein complexes, and hence cellular function. Systematic dataset integration revealed biological insight into PTM mediated cellular regulatory mechanisms and further provides a resource for future hypothesis-driven studies.

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          Author and article information

          Contributors
          Role: Editor
          Journal
          PLoS Comput Biol
          PLoS Comput. Biol
          plos
          ploscomp
          PLoS Computational Biology
          Public Library of Science (San Francisco, USA )
          1553-734X
          1553-7358
          March 2013
          March 2013
          7 March 2013
          : 9
          : 3
          : e1002933
          Affiliations
          [1]Otto-Warburg Laboratory, Max Planck Institute for Molecular Genetics (MPIMG), Berlin, Germany
          University of Heidelberg, Germany
          Author notes

          The authors have declared that no competing interests exist.

          Supervised the project: US. Conceived and designed the experiments: JW. Performed the experiments: JW. Analyzed the data: JW. Contributed reagents/materials/analysis tools: AK. Wrote the paper: JW US.

          Article
          PCOMPBIOL-D-12-01465
          10.1371/journal.pcbi.1002933
          3591266
          23505349
          b78c117c-8f44-4ca6-ae55-d8079c370f64
          Copyright @ 2013

          This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

          History
          : 17 September 2012
          : 8 January 2013
          Page count
          Pages: 15
          Funding
          The work was supported by the Max Planck Society ( http://www.mpg.de/en). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
          Categories
          Research Article
          Biology
          Computational Biology
          Signaling Networks
          Systems Biology
          Molecular Cell Biology
          Signal Transduction
          Signaling in Cellular Processes

          Quantitative & Systems biology
          Quantitative & Systems biology

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