Linear motif atlas for phosphorylation-dependent signaling.

Martin Lee Miller, LJ Jensen, F Diella, C Jørgensen, M Tinti, L Li, M Hsiung, SA Parker, J Bordeaux, Thomas Sicheritz-Pontén, M Olhovsky, A Pasculescu, J Alexander, S Knapp, Nikolaj Blom, P Bork, S Li, G Cesareni, T Pawson, BE TurkMB Yaffe, Søren Brunak, R Linding

    Research output: Contribution to journalJournal articleResearchpeer-review

    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).
    Original languageEnglish
    JournalScience Signaling
    Volume1
    Issue number35
    Pages (from-to)2
    ISSN1945-0877
    DOIs
    Publication statusPublished - 2008

    Bibliographical note

    Pagination: Ra2

    Cite this

    Miller, M. L., Jensen, LJ., Diella, F., Jørgensen, C., Tinti, M., Li, L., Hsiung, M., Parker, SA., Bordeaux, J., Sicheritz-Pontén, T., Olhovsky, M., Pasculescu, A., Alexander, J., Knapp, S., Blom, N., Bork, P., Li, S., Cesareni, G., Pawson, T., ... Linding, R. (2008). Linear motif atlas for phosphorylation-dependent signaling. Science Signaling, 1(35), 2. https://doi.org/10.1126/scisignal.1159433