Computationally Driven, Quantitative Experiments Discover Genes Required for Mitochondrial Biogenesis
Author(s) -
David Hess,
Chad L. Myers,
Curtis Huttenhower,
Matthew Hibbs,
Alicia P. Hayes,
Jadine Paw,
John J. Clore,
Rosa M. Mendoza,
Bryan San Luis,
Corey Nislow,
Guri Giaever,
Michael Costanzo,
Olga G. Troyanskaya,
Amy A. Caudy
Publication year - 2009
Publication title -
plos genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.587
H-Index - 233
eISSN - 1553-7404
pISSN - 1553-7390
DOI - 10.1371/journal.pgen.1000407
Subject(s) - biology , mitochondrial biogenesis , mitochondrion , phenotype , biogenesis , gene , genetics , genetic screen , mitochondrial dna , mitochondrial disease , mutant , proteomics , computational biology , saccharomyces cerevisiae , microbiology and biotechnology
Mitochondria are central to many cellular processes including respiration, ion homeostasis, and apoptosis. Using computational predictions combined with traditional quantitative experiments, we have identified 100 proteins whose deficiency alters mitochondrial biogenesis and inheritance in Saccharomyces cerevisiae . In addition, we used computational predictions to perform targeted double-mutant analysis detecting another nine genes with synthetic defects in mitochondrial biogenesis. This represents an increase of about 25% over previously known participants. Nearly half of these newly characterized proteins are conserved in mammals, including several orthologs known to be involved in human disease. Mutations in many of these genes demonstrate statistically significant mitochondrial transmission phenotypes more subtle than could be detected by traditional genetic screens or high-throughput techniques, and 47 have not been previously localized to mitochondria. We further characterized a subset of these genes using growth profiling and dual immunofluorescence, which identified genes specifically required for aerobic respiration and an uncharacterized cytoplasmic protein required for normal mitochondrial motility. Our results demonstrate that by leveraging computational analysis to direct quantitative experimental assays, we have characterized mutants with subtle mitochondrial defects whose phenotypes were undetected by high-throughput methods.
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