Transomics: Mitochondrial Systems Analyses Get Supercomplex

David J. Pagliarini

doi:10.1016/j.cmet.2016.06.018

Transomics: Mitochondrial Systems Analyses Get Supercomplex

David J. Pagliarini

Research output: Contribution to journal › Short survey › peer-review

Abstract

New “omics” tools are accelerating our ability to connect genomic variation to complex traits. Williams et al. (2016) reveal the power of layering quantitative proteomics and metabolomics measurements into a “systems genetics” analysis of recombinant inbred mouse strains to unravel new aspects of mitochondrial metabolism.

Original language	English
Pages (from-to)	13-14
Number of pages	2
Journal	Cell metabolism
Volume	24
Issue number	1
DOIs	https://doi.org/10.1016/j.cmet.2016.06.018
State	Published - Jul 12 2016

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title = "Transomics: Mitochondrial Systems Analyses Get Supercomplex",

abstract = "New “omics” tools are accelerating our ability to connect genomic variation to complex traits. Williams et al. (2016) reveal the power of layering quantitative proteomics and metabolomics measurements into a “systems genetics” analysis of recombinant inbred mouse strains to unravel new aspects of mitochondrial metabolism.",

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AB - New “omics” tools are accelerating our ability to connect genomic variation to complex traits. Williams et al. (2016) reveal the power of layering quantitative proteomics and metabolomics measurements into a “systems genetics” analysis of recombinant inbred mouse strains to unravel new aspects of mitochondrial metabolism.

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DO - 10.1016/j.cmet.2016.06.018

M3 - Short survey

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Transomics: Mitochondrial Systems Analyses Get Supercomplex

Abstract

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