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Disentangling Genetic and Environmental Effects on the Proteotypes of Individuals.
Romanov, Natalie; Kuhn, Michael; Aebersold, Ruedi; Ori, Alessandro; Beck, Martin; Bork, Peer.
  • Romanov N; Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
  • Kuhn M; Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
  • Aebersold R; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland; Faculty of Science, University of Zurich, Zurich, Switzerland.
  • Ori A; Leibniz Institute on Aging - Fritz Lipmann Institute, Jena, Germany.
  • Beck M; Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany; Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany. Electronic address: martin.beck@embl.de.
  • Bork P; Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany; Max Delbrück Center for Molecular Medicine, Berlin, Germany. Electronic address: bork@embl.de.
Cell ; 177(5): 1308-1318.e10, 2019 05 16.
Article en En | MEDLINE | ID: mdl-31031010
ABSTRACT
Proteotypes, like genotypes, have been found to vary between individuals in several studies, but consistent molecular functional traits across studies remain to be quantified. In a meta-analysis of 11 proteomics datasets from humans and mice, we use co-variation of proteins in known functional modules across datasets and individuals to obtain a consensus landscape of proteotype variation. We find that individuals differ considerably in both protein complex abundances and stoichiometry. We disentangle genetic and environmental factors impacting these metrics, with genetic sex and specific diets together explaining 13.5% and 11.6% of the observed variation of complex abundance and stoichiometry, respectively. Sex-specific differences, for example, include various proteins and complexes, where the respective genes are not located on sex-specific chromosomes. Diet-specific differences, added to the individual genetic backgrounds, might become a starting point for personalized proteotype modulation toward desired features.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Caracteres Sexuales / Bases de Datos de Proteínas / Interacción Gen-Ambiente / Genotipo Límite: Animals / Female / Humans / Male Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Caracteres Sexuales / Bases de Datos de Proteínas / Interacción Gen-Ambiente / Genotipo Límite: Animals / Female / Humans / Male Idioma: En Año: 2019 Tipo del documento: Article