Dataset Information

Mouse liver SWATH-MS - Systems proteomics of liver mitochondria function

ABSTRACT: Here, we have profiled 386 individuals in 80 cohorts of the BXD mouse genetic reference population across two environmental states through a metabolic phenotyping program including glucose response, exercise capacity, and cold response. To understand how the observed phenotypic differences are related to genetic variance, we generated a multilayered set of molecular phenotypes—genomics, transcriptomics, proteomics, and metabolomics across all cohorts, then modeled these molecular patterns with the phenotypic variance.

OTHER RELATED OMICS DATASETS IN: PRJNA257635

INSTRUMENT(S): TripleTOF 5600

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Liver

SUBMITTER: Yibo Wu

LAB HEAD: Ruedi Aebersold

PROVIDER: PXD003266 | Pride | 2016-06-13

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	InterProphet.pep.xml	Pepxml
	ywu_K140324_011b_SW.zip	Other
	ywu_K140324_012b_SW.zip	Other
	ywu_K140324_017b_SW.zip	Other
	ywu_K140324_018b_SW.zip	Other

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Publications

Systems proteomics of liver mitochondria function.

Williams Evan G EG Wu Yibo Y Jha Pooja P Dubuis Sébastien S Blattmann Peter P Argmann Carmen A CA Houten Sander M SM Amariuta Tiffany T Wolski Witold W Zamboni Nicola N Aebersold Ruedi R Auwerx Johan J

Science (New York, N.Y.) 20160601 6291

Recent improvements in quantitative proteomics approaches, including Sequential Window Acquisition of all Theoretical Mass Spectra (SWATH-MS), permit reproducible large-scale protein measurements across diverse cohorts. Together with genomics, transcriptomics, and other technologies, transomic data sets can be generated that permit detailed analyses across broad molecular interaction networks. Here, we examine mitochondrial links to liver metabolism through the genome, transcriptome, proteome, a ...[more]

PMID: 27284200

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