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  Disentangling Genetic and Environmental Effects on the Proteotypes of Individuals

Romanov, N., Kuhn, M., Aebersold, R., Ori, A., Beck, M., & Bork, P. (2019). Disentangling Genetic and Environmental Effects on the Proteotypes of Individuals. Cell, 177(5), 1308-1318. doi:10.1016/j.cell.2019.03.015.

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 Creators:
Romanov, Natalie1, Author           
Kuhn, Michael1, Author
Aebersold, Ruedi2, 3, Author
Ori, Alessandro4, Author
Beck, Martin1, Author                 
Bork, Peer1, 5, Author
Affiliations:
1European Molecular Biology Laboratory (EMBL), Heidelberg, Germany, ou_persistent22              
2Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland, ou_persistent22              
3Faculty of Science, University of Zurich, Zurich, Switzerland, ou_persistent22              
4Leibniz Institute on Aging – Fritz Lipmann Institute, Jena, Germany, ou_persistent22              
5Max Delbrück Center for Molecular Medicine, Berlin, Germany, ou_persistent22              

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Free keywords: A549 Cells, Animals, Databases, Protein, Female, Gene-Environment Interaction, Genotype, HEK293 Cells, HeLa Cells, Hep G2 Cells, Humans, Jurkat Cells, K562 Cells, Male, MCF-7 Cells, Mice, Proteomics, Sex Characteristics
 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.

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Language(s): eng - English
 Dates: 2019-01-182019-09-132019-03-052019-04-252019-05-16
 Publication Status: Issued
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.cell.2019.03.015
BibTex Citekey: romanov_disentangling_2019
 Degree: -

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Title: Cell
Source Genre: Journal
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Publ. Info: Cambridge, Mass. : Cell Press
Pages: - Volume / Issue: 177 (5) Sequence Number: - Start / End Page: 1308 - 1318 Identifier: ISSN: 0092-8674
CoNE: https://pure.mpg.de/cone/journals/resource/954925463183