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Bridging the Chromosome-centric and Biology/Disease-driven Human Proteome Projects: Accessible and Automated Tools for Interpreting the Biological and Pathological Impact of Protein Sequence Variants Detected via Proteogenomics.
Sajulga, Ray; Mehta, Subina; Kumar, Praveen; Johnson, James E; Guerrero, Candace R; Ryan, Michael C; Karchin, Rachel; Jagtap, Pratik D; Griffin, Timothy J.
Afiliación
  • Sajulga R; Department of Biochemistry, Molecular Biology and Biophysics , University of Minnesota , Minneapolis , Minnesota 55455 , United States.
  • Mehta S; Department of Biochemistry, Molecular Biology and Biophysics , University of Minnesota , Minneapolis , Minnesota 55455 , United States.
  • Kumar P; Department of Biochemistry, Molecular Biology and Biophysics , University of Minnesota , Minneapolis , Minnesota 55455 , United States.
  • Johnson JE; Bioinformatics and Computational Biology Program , University of Minnesota-Rochester , Rochester , Minnesota 55904 , United States.
  • Guerrero CR; Minnesota Supercomputing Institute , University of Minnesota , Minneapolis , Minnesota 55455 , United States.
  • Ryan MC; Department of Biochemistry, Molecular Biology and Biophysics , University of Minnesota , Minneapolis , Minnesota 55455 , United States.
  • Karchin R; In-Silico Solutions , Falls Church , Virginia 22043 , United States.
  • Jagtap PD; Department of Biomedical Engineering , The Johns Hopkins University , Baltimore , Maryland 21218 , United States.
  • Griffin TJ; The Institute for Computational Medicine , The Johns Hopkins University , Baltimore , Maryland 21218 , United States.
J Proteome Res ; 17(12): 4329-4336, 2018 12 07.
Article en En | MEDLINE | ID: mdl-30130115
The Chromosome-centric Human Proteome Project (C-HPP) seeks to comprehensively characterize all protein products coded by the genome, including those expressed sequence variants confirmed via proteogenomics methods. The closely related Biology/Disease-driven Human Proteome Project (B/D-HPP) seeks to understand the biological and pathological associations of expressed protein products, especially those carrying sequence variants that may be drivers of disease. To achieve these objectives, informatics tools are required that interpret potential functional or disease implications of variant protein sequence detected via proteogenomics. Toward this end, we have developed an automated workflow within the Galaxy for Proteomics (Galaxy-P) platform, which leverages the Cancer-Related Analysis of Variants Toolkit (CRAVAT) and makes it interoperable with proteogenomic results. Protein sequence variants confirmed by proteogenomics are assessed for potential structure-function effects as well as associations with cancer using CRAVAT's rich suite of functionalities, including visualization of results directly within the Galaxy user interface. We demonstrate the effectiveness of this workflow on proteogenomic results generated from an MCF7 breast cancer cell line. Our free and open software should enable improved interpretation of the functional and pathological effects of protein sequence variants detected via proteogenomics, acting as a bridge between the C-HPP and B/D-HPP.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Proteoma / Proteogenómica Límite: Humans Idioma: En Revista: J Proteome Res Asunto de la revista: BIOQUIMICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Proteoma / Proteogenómica Límite: Humans Idioma: En Revista: J Proteome Res Asunto de la revista: BIOQUIMICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos