Literature DB >> 18765831

Linear motif atlas for phosphorylation-dependent signaling.

Martin Lee Miller1, Lars Juhl Jensen, Francesca Diella, Claus Jørgensen, Michele Tinti, Lei Li, Marilyn Hsiung, Sirlester A Parker, Jennifer Bordeaux, Thomas Sicheritz-Ponten, Marina Olhovsky, Adrian Pasculescu, Jes Alexander, Stefan Knapp, Nikolaj Blom, Peer Bork, Shawn Li, Gianni Cesareni, Tony Pawson, Benjamin E Turk, Michael B Yaffe, Søren Brunak, Rune Linding.   

Abstract

Systematic and quantitative analysis of protein phosphorylation is revealing dynamic regulatory networks underlying cellular responses to environmental cues. However, matching these sites to the kinases that phosphorylate them and the phosphorylation-dependent binding domains that may subsequently bind to them remains a challenge. NetPhorest is an atlas of consensus sequence motifs that covers 179 kinases and 104 phosphorylation-dependent binding domains [Src homology 2 (SH2), phosphotyrosine binding (PTB), BRCA1 C-terminal (BRCT), WW, and 14-3-3]. The atlas reveals new aspects of signaling systems, including the observation that tyrosine kinases mutated in cancer have lower specificity than their non-oncogenic relatives. The resource is maintained by an automated pipeline, which uses phylogenetic trees to structure the currently available in vivo and in vitro data to derive probabilistic sequence models of linear motifs. The atlas is available as a community resource (http://netphorest.info).

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Year:  2008        PMID: 18765831      PMCID: PMC6215708          DOI: 10.1126/scisignal.1159433

Source DB:  PubMed          Journal:  Sci Signal        ISSN: 1945-0877            Impact factor:   8.192


  57 in total

1.  Sequence and structure-based prediction of eukaryotic protein phosphorylation sites.

Authors:  N Blom; S Gammeltoft; S Brunak
Journal:  J Mol Biol       Date:  1999-12-17       Impact factor: 5.469

2.  Co-evolution of transcriptional and post-translational cell-cycle regulation.

Authors:  Lars Juhl Jensen; Thomas Skøt Jensen; Ulrik de Lichtenberg; Søren Brunak; Peer Bork
Journal:  Nature       Date:  2006-09-27       Impact factor: 49.962

Review 3.  Phage display for engineering and analyzing protein interaction interfaces.

Authors:  Sachdev S Sidhu; Shohei Koide
Journal:  Curr Opin Struct Biol       Date:  2007-09-17       Impact factor: 6.809

4.  A curated compendium of phosphorylation motifs.

Authors:  Ramars Amanchy; Balamurugan Periaswamy; Suresh Mathivanan; Raghunath Reddy; Sudhir Gopal Tattikota; Akhilesh Pandey
Journal:  Nat Biotechnol       Date:  2007-03       Impact factor: 54.908

5.  Global, in vivo, and site-specific phosphorylation dynamics in signaling networks.

Authors:  Jesper V Olsen; Blagoy Blagoev; Florian Gnad; Boris Macek; Chanchal Kumar; Peter Mortensen; Matthias Mann
Journal:  Cell       Date:  2006-11-03       Impact factor: 41.582

6.  MAPKAP kinase-2 is a cell cycle checkpoint kinase that regulates the G2/M transition and S phase progression in response to UV irradiation.

Authors:  Isaac A Manke; Anhco Nguyen; Daniel Lim; Mary Q Stewart; Andrew E H Elia; Michael B Yaffe
Journal:  Mol Cell       Date:  2005-01-07       Impact factor: 17.970

7.  Activation segment exchange: a common mechanism of kinase autophosphorylation?

Authors:  Antony W Oliver; Stefan Knapp; Laurence H Pearl
Journal:  Trends Biochem Sci       Date:  2007-07-12       Impact factor: 13.807

8.  GPS: a comprehensive www server for phosphorylation sites prediction.

Authors:  Yu Xue; Fengfeng Zhou; Minjie Zhu; Kashif Ahmed; Guoliang Chen; Xuebiao Yao
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

9.  DOMINO: a database of domain-peptide interactions.

Authors:  Arnaud Ceol; Andrew Chatr-aryamontri; Elena Santonico; Roberto Sacco; Luisa Castagnoli; Gianni Cesareni
Journal:  Nucleic Acids Res       Date:  2006-11-29       Impact factor: 16.971

10.  KinasePhos 2.0: a web server for identifying protein kinase-specific phosphorylation sites based on sequences and coupling patterns.

Authors:  Yung-Hao Wong; Tzong-Yi Lee; Han-Kuen Liang; Chia-Mao Huang; Ting-Yuan Wang; Yi-Huan Yang; Chia-Huei Chu; Hsien-Da Huang; Ming-Tat Ko; Jenn-Kang Hwang
Journal:  Nucleic Acids Res       Date:  2007-05-21       Impact factor: 16.971

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  212 in total

1.  Dynamics of the G protein-coupled vasopressin V2 receptor signaling network revealed by quantitative phosphoproteomics.

Authors:  Jason D Hoffert; Trairak Pisitkun; Fahad Saeed; Jae H Song; Chung-Lin Chou; Mark A Knepper
Journal:  Mol Cell Proteomics       Date:  2011-11-21       Impact factor: 5.911

2.  MMFPh: a maximal motif finder for phosphoproteomics datasets.

Authors:  Tuobin Wang; Arminja N Kettenbach; Scott A Gerber; Chris Bailey-Kellogg
Journal:  Bioinformatics       Date:  2012-04-23       Impact factor: 6.937

3.  Large-scale phosphotyrosine proteomic profiling of rat renal collecting duct epithelium reveals predominance of proteins involved in cell polarity determination.

Authors:  Boyang Zhao; Mark A Knepper; Chung-Lin Chou; Trairak Pisitkun
Journal:  Am J Physiol Cell Physiol       Date:  2011-09-21       Impact factor: 4.249

4.  Musite, a tool for global prediction of general and kinase-specific phosphorylation sites.

Authors:  Jianjiong Gao; Jay J Thelen; A Keith Dunker; Dong Xu
Journal:  Mol Cell Proteomics       Date:  2010-08-11       Impact factor: 5.911

Review 5.  Decoding signalling networks by mass spectrometry-based proteomics.

Authors:  Chunaram Choudhary; Matthias Mann
Journal:  Nat Rev Mol Cell Biol       Date:  2010-05-12       Impact factor: 94.444

6.  Identifying protein kinase target preferences using mass spectrometry.

Authors:  Jacqueline Douglass; Ruwan Gunaratne; Davis Bradford; Fahad Saeed; Jason D Hoffert; Peter J Steinbach; Mark A Knepper; Trairak Pisitkun
Journal:  Am J Physiol Cell Physiol       Date:  2012-06-20       Impact factor: 4.249

7.  Positive-unlabeled ensemble learning for kinase substrate prediction from dynamic phosphoproteomics data.

Authors:  Pengyi Yang; Sean J Humphrey; David E James; Yee Hwa Yang; Raja Jothi
Journal:  Bioinformatics       Date:  2015-09-22       Impact factor: 6.937

8.  The tumor suppressor Mst1 promotes changes in the cellular redox state by phosphorylation and inactivation of peroxiredoxin-1 protein.

Authors:  Sonali Jalan Rawat; Caretha L Creasy; Jeffrey R Peterson; Jonathan Chernoff
Journal:  J Biol Chem       Date:  2013-02-05       Impact factor: 5.157

Review 9.  Vasopressin-2 receptor signaling and autosomal dominant polycystic kidney disease: from bench to bedside and back again.

Authors:  Markus M Rinschen; Bernhard Schermer; Thomas Benzing
Journal:  J Am Soc Nephrol       Date:  2014-02-20       Impact factor: 10.121

Review 10.  Homing in: Mechanisms of Substrate Targeting by Protein Kinases.

Authors:  Chad J Miller; Benjamin E Turk
Journal:  Trends Biochem Sci       Date:  2018-03-12       Impact factor: 13.807

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