Phosphoregulators: Protein kinases and protein phosphatases of mouse

Alistair R.R. Forrest*, Timothy Ravasi, Darrin Taylor, Thomas Huber, David A. Hume, Takahiro Arakawa, Piero Carninci, Jun Kawai, Yoshihide Hayashizaki, Sean Grimmond

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Abstract

With the completion of the human and mouse genome sequences, the task now turns to identifying their encoded transcripts and assigning gene function. In this study, we have undertaken a computational approach to identify and classify all of the protein kinases and phosphatases present in the mouse gene complement. A nonredundant set of these sequences was produced by mining Ensembl gene predictions and publicly available cDNA sequences with a panel of InterPro domains. This approach identified 561 candidate protein kinases and 162 candidate protein phosphatases. This cohort was then analyzed using TribeMCL protein sequence similarity clustering followed by CLUSTALV alignment and hierarchical tree generation. This approach allowed us to (1) distinguish between true members of the protein kinase and phosphatase families and enzymes of related biochemistry, (2) determine the structure of the families, and (3) suggest functions for previously uncharacterized members. The classifications obtained by this approach were in good agreement with previous schemes and allowed us to demonstrate domain associations with a number of clusters. Finally, we comment on the complementary nature of cDNA and genome-based gene detection and the impact of the FANTOM2 transcriptome project.

Original languageEnglish (US)
Pages (from-to)1443-1454
Number of pages12
JournalGenome Research
Volume13
Issue number6 B
DOIs
StatePublished - Jun 1 2003

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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