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In silico proteome-wide amino aCid and elemental composition (PACE) analysis of expression proteomics data provides a fingerprint of dominant metabolic processes.
Good, David M; Mamdoh, Anwer; Budamgunta, Harshavardhan; Zubarev, Roman A.
Afiliación
  • Good DM; Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institute, SE 171 77 Stockholm, Sweden.
Genomics Proteomics Bioinformatics ; 11(4): 219-29, 2013 Aug.
Article en En | MEDLINE | ID: mdl-23917074
ABSTRACT
Proteome-wide Amino aCid and Elemental composition (PACE) analysis is a novel and informative way of interrogating the proteome. The PACE approach consists of in silico decomposition of proteins detected and quantified in a proteomics experiment into 20 amino acids and five elements (C, H, N, O and S), with protein abundances converted to relative abundances of amino acids and elements. The method is robust and very sensitive; it provides statistically reliable differentiation between very similar proteomes. In addition, PACE provides novel insights into proteome-wide metabolic processes, occurring, e.g., during cell starvation. For instance, both Escherichia coli and Synechocystis down-regulate sulfur-rich proteins upon sulfur deprivation, but E. coli preferentially down-regulates cysteine-rich proteins while Synechocystis mainly down-regulates methionine-rich proteins. Due to its relative simplicity, flexibility, generality and wide applicability, PACE analysis has the potential of becoming a standard analytical tool in proteomics.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Biología Computacional / Proteoma / Aminoácidos Límite: Humans Idioma: En Revista: Genomics Proteomics Bioinformatics Asunto de la revista: BIOQUIMICA / GENETICA / INFORMATICA MEDICA Año: 2013 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Biología Computacional / Proteoma / Aminoácidos Límite: Humans Idioma: En Revista: Genomics Proteomics Bioinformatics Asunto de la revista: BIOQUIMICA / GENETICA / INFORMATICA MEDICA Año: 2013 Tipo del documento: Article País de afiliación: Suecia