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The mitochondrial cristae membrane is the primary site for the oxidative phosphorylation (OXPHOS) process of energy conversion mediated through respiratory complexes I to V. These complexes have been widely studied for decades, and it has been proven that they form supramolecular structures called respiratory supercomplexes (SC). These higher-order complexes may be crucial in maintaining the biochemical structure and improving the physiological activity of the individual complexes while...
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A single mitochondrion is a bean-shaped organelle enclosed by a double-membrane system. The outer membrane of mitochondria is smooth and contains many porins - the integral membrane transporters. Porins enable free diffusion of ions and small uncharged molecules through the outer mitochondrial membrane but limit the transport of molecules larger than 5000 Daltons. Further, the outer mitochondrial membrane forms a unique structure called membrane contact sites with other subcellular organelles,...
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Transomics: Mitochondrial Systems Analyses Get Supercomplex.

David J Pagliarini1

  • 1Morgridge Institute for Research, Madison, WI 53715, USA; Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.

Cell Metabolism
|July 14, 2016
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Summary
This summary is machine-generated.

New "omics" tools link genomic variation to complex traits. This study used systems genetics with proteomics and metabolomics in mice to uncover novel mitochondrial metabolism insights.

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Area of Science:

  • Genetics
  • Metabolomics
  • Proteomics

Background:

  • Genomic variation influences complex traits.
  • Omics technologies advance trait-gene association studies.

Purpose of the Study:

  • To investigate mitochondrial metabolism using systems genetics.
  • To connect genomic variation to metabolic traits.

Main Methods:

  • Systems genetics analysis.
  • Quantitative proteomics and metabolomics.
  • Recombinant inbred mouse strains.

Main Results:

  • Identified novel aspects of mitochondrial metabolism.
  • Demonstrated the utility of integrated omics data.

Conclusions:

  • Layering omics data enhances understanding of genotype-phenotype relationships.
  • Systems genetics is powerful for dissecting complex metabolic traits.