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Proteome-level assessment of origin, prevalence and function of leucine-aspartic acid (LD) motifs.
Alam, Tanvir; Alazmi, Meshari; Naser, Rayan; Huser, Franceline; Momin, Afaque A; Astro, Veronica; Hong, SeungBeom; Walkiewicz, Katarzyna W; Canlas, Christian G; Huser, Raphaël; Ali, Amal J; Merzaban, Jasmeen; Adamo, Antonio; Jaremko, Mariusz; Jaremko, Lukasz; Bajic, Vladimir B; Gao, Xin; Arold, Stefan T.
Afiliação
  • Alam T; Computational Bioscience Research Center (CBRC), Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE), Saudi Arabia.
  • Alazmi M; Computational Bioscience Research Center (CBRC), Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE), Saudi Arabia.
  • Naser R; Computational Bioscience Research Center (CBRC), Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
  • Huser F; Computational Bioscience Research Center (CBRC), Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
  • Momin AA; Computational Bioscience Research Center (CBRC), Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
  • Astro V; Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
  • Hong S; Computational Bioscience Research Center (CBRC), Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
  • Walkiewicz KW; Computational Bioscience Research Center (CBRC), Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
  • Canlas CG; Core Labs, Thuwal, Saudi Arabia.
  • Huser R; Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
  • Ali AJ; Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
  • Merzaban J; Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
  • Adamo A; Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
  • Jaremko M; Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
  • Jaremko L; Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
  • Bajic VB; Computational Bioscience Research Center (CBRC), Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE), Saudi Arabia.
  • Gao X; Computational Bioscience Research Center (CBRC), Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE), Saudi Arabia.
  • Arold ST; Computational Bioscience Research Center (CBRC), Division of Biological and Environmental Sciences and Engineering (BESE), Saudi Arabia.
Bioinformatics ; 36(4): 1121-1128, 2020 02 15.
Article em En | MEDLINE | ID: mdl-31584626
ABSTRACT
MOTIVATION Leucine-aspartic acid (LD) motifs are short linear interaction motifs (SLiMs) that link paxillin family proteins to factors controlling cell adhesion, motility and survival. The existence and importance of LD motifs beyond the paxillin family is poorly understood.

RESULTS:

To enable a proteome-wide assessment of LD motifs, we developed an active learning based framework (LD motif finder; LDMF) that iteratively integrates computational predictions with experimental validation. Our analysis of the human proteome revealed a dozen new proteins containing LD motifs. We found that LD motif signalling evolved in unicellular eukaryotes more than 800 Myr ago, with paxillin and vinculin as core constituents, and nuclear export signal as a likely source of de novo LD motifs. We show that LD motif proteins form a functionally homogenous group, all being involved in cell morphogenesis and adhesion. This functional focus is recapitulated in cells by GFP-fused LD motifs, suggesting that it is intrinsic to the LD motif sequence, possibly through their effect on binding partners. Our approach elucidated the origin and dynamic adaptations of an ancestral SLiM, and can serve as a guide for the identification of other SLiMs for which only few representatives are known. AVAILABILITY AND IMPLEMENTATION LDMF is freely available online at www.cbrc.kaust.edu.sa/ldmf; Source code is available at https//github.com/tanviralambd/LD/. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteoma Tipo de estudo: Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Arábia Saudita

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteoma Tipo de estudo: Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Arábia Saudita