Publication: A Computational Screen for Regulators of Oxidative Phosphorylation Implicates SLIRP in Mitochondrial RNA Homeostasis
Open/View Files
Date
2009
Published Version
Journal Title
Journal ISSN
Volume Title
Publisher
Public Library of Science
The Harvard community has made this article openly available. Please share how this access benefits you.
Citation
Baughman, Joshua M., Roland Nilsson, Vishal M. Gohil, Daniel H. Arlow, Zareen Gauhar, and Vamsi K. Mootha. 2009. A Computational Screen for Regulators of Oxidative Phosphorylation Implicates SLIRP in Mitochondrial RNA Homeostasis. PLoS Genetics 5(8): e1000590.
Research Data
Abstract
The human oxidative phosphorylation (OxPhos) system consists of approximately 90 proteins encoded by nuclear and mitochondrial genomes and serves as the primary cellular pathway for ATP biosynthesis. While the core protein machinery for OxPhos is well characterized, many of its assembly, maturation, and regulatory factors remain unknown. We exploited the tight transcriptional control of the genes encoding the core OxPhos machinery to identify novel regulators. We developed a computational procedure, which we call expression screening, which integrates information from thousands of microarray data sets in a principled manner to identify genes that are consistently co-expressed with a target pathway across biological contexts. We applied expression screening to predict dozens of novel regulators of OxPhos. For two candidate genes, CHCHD2 and SLIRP, we show that silencing with RNAi results in destabilization of OxPhos complexes and a marked loss of OxPhos enzymatic activity. Moreover, we show that SLIRP plays an essential role in maintaining mitochondrial-localized mRNA transcripts that encode OxPhos protein subunits. Our findings provide a catalogue of potential novel OxPhos regulators that advance our understanding of the coordination between nuclear and mitochondrial genomes for the regulation of cellular energy metabolism.
Description
Other Available Sources
Keywords
biochemistry, computational biology, genomics, metabolic networks, genetics and genomics, functional genomics, gene discovery, gene expression, medical genetics, molecular biology, mRNA stability, post-translational regulation of gene expression
Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service