Literature DB >> 22889908

Protein kinases display minimal interpositional dependence on substrate sequence: potential implications for the evolution of signalling networks.

Brian A Joughin1, Chengcheng Liu, Douglas A Lauffenburger, Christopher W V Hogue, Michael B Yaffe.   

Abstract

Characterization of in vitro substrates of protein kinases by peptide library screening provides a wealth of information on the substrate specificity of kinases for amino acids at particular positions relative to the site of phosphorylation, but provides no information concerning interdependence among positions. High-throughput techniques have recently made it feasible to identify large numbers of in vivo kinase substrates. We used data from experiments on the kinases ATM/ATR and CDK1, and curated CK2 substrates to evaluate the prevalence of interactions between substrate positions within a motif and the utility of these interactions in predicting kinase substrates. Among these data, evidence of interpositional sequence dependencies is strikingly rare, and what dependency exists does little to aid in the prediction of novel kinase substrates. Significant increases in the ability of models to predict kinase-substrate specificity beyond position-independent models must come largely from inclusion of elements of biological and cellular context, rather than further analysis of substrate sequences alone. Our results suggest that, evolutionarily, kinase substrate fitness exists in a smooth energetic landscape. Taken with results from others indicating that phosphopeptide-binding domains do exhibit interpositional dependence, our data suggest that incorporation of new substrate molecules into phospho-signalling networks may be rate-limited by the evolution of suitability for binding by phosphopeptide-binding domains.

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Year:  2012        PMID: 22889908      PMCID: PMC3415838          DOI: 10.1098/rstb.2012.0010

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  28 in total

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Authors:  Flavio Meggio; Lorenzo A Pinna
Journal:  FASEB J       Date:  2003-03       Impact factor: 5.191

2.  Scansite 2.0: Proteome-wide prediction of cell signaling interactions using short sequence motifs.

Authors:  John C Obenauer; Lewis C Cantley; Michael B Yaffe
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

3.  PhosphoSite: A bioinformatics resource dedicated to physiological protein phosphorylation.

Authors:  Peter V Hornbeck; Indy Chabra; Jon M Kornhauser; Elzbieta Skrzypek; Bin Zhang
Journal:  Proteomics       Date:  2004-06       Impact factor: 3.984

Review 4.  Prediction of post-translational glycosylation and phosphorylation of proteins from the amino acid sequence.

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Journal:  Proteomics       Date:  2004-06       Impact factor: 3.984

5.  Annotation of post-translational modifications in the Swiss-Prot knowledge base.

Authors:  Nathalie Farriol-Mathis; John S Garavelli; Brigitte Boeckmann; Séverine Duvaud; Elisabeth Gasteiger; Alain Gateau; Anne-Lise Veuthey; Amos Bairoch
Journal:  Proteomics       Date:  2004-06       Impact factor: 3.984

6.  WebLogo: a sequence logo generator.

Authors:  Gavin E Crooks; Gary Hon; John-Marc Chandonia; Steven E Brenner
Journal:  Genome Res       Date:  2004-06       Impact factor: 9.043

7.  The International Protein Index: an integrated database for proteomics experiments.

Authors:  Paul J Kersey; Jorge Duarte; Allyson Williams; Youla Karavidopoulou; Ewan Birney; Rolf Apweiler
Journal:  Proteomics       Date:  2004-07       Impact factor: 3.984

8.  Substrate specificities and identification of putative substrates of ATM kinase family members.

Authors:  S T Kim; D S Lim; C E Canman; M B Kastan
Journal:  J Biol Chem       Date:  1999-12-31       Impact factor: 5.157

9.  The importance of intrinsic disorder for protein phosphorylation.

Authors:  Lilia M Iakoucheva; Predrag Radivojac; Celeste J Brown; Timothy R O'Connor; Jason G Sikes; Zoran Obradovic; A Keith Dunker
Journal:  Nucleic Acids Res       Date:  2004-02-11       Impact factor: 16.971

10.  Spatial exclusivity combined with positive and negative selection of phosphorylation motifs is the basis for context-dependent mitotic signaling.

Authors:  Jes Alexander; Daniel Lim; Brian A Joughin; Björn Hegemann; James R A Hutchins; Tobias Ehrenberger; Frank Ivins; Fabio Sessa; Otto Hudecz; Erich A Nigg; Andrew M Fry; Andrea Musacchio; P Todd Stukenberg; Karl Mechtler; Jan-Michael Peters; Stephen J Smerdon; Michael B Yaffe
Journal:  Sci Signal       Date:  2011-06-28       Impact factor: 8.192

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  4 in total

1.  Regulation and function of phosphorylation on VP8, the major tegument protein of bovine herpesvirus 1.

Authors:  Kuan Zhang; Sharmin Afroz; Robert Brownlie; Marlene Snider; Sylvia van Drunen Littel-van den Hurk
Journal:  J Virol       Date:  2015-02-11       Impact factor: 5.103

2.  Profiling the substrate specificity of protein kinases by on-bead screening of peptide libraries.

Authors:  Thi B Trinh; Qing Xiao; Dehua Pei
Journal:  Biochemistry       Date:  2013-07-24       Impact factor: 3.162

Review 3.  Exploiting holistic approaches to model specificity in protein phosphorylation.

Authors:  Antonio Palmeri; Fabrizio Ferrè; Manuela Helmer-Citterich
Journal:  Front Genet       Date:  2014-09-30       Impact factor: 4.599

4.  Ancestral resurrection reveals evolutionary mechanisms of kinase plasticity.

Authors:  Conor J Howard; Victor Hanson-Smith; Kristopher J Kennedy; Chad J Miller; Hua Jane Lou; Alexander D Johnson; Benjamin E Turk; Liam J Holt
Journal:  Elife       Date:  2014-10-13       Impact factor: 8.140

  4 in total

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