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Genome-Wide Analysis of Effectors of Peroxisome Biogenesis

Overview of attention for article published in PLOS ONE, August 2010
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Title
Genome-Wide Analysis of Effectors of Peroxisome Biogenesis
Published in
PLOS ONE, August 2010
DOI 10.1371/journal.pone.0011953
Pubmed ID
Authors

Ramsey A. Saleem, Rose Long-O'Donnell, David J. Dilworth, Abraham M. Armstrong, Arvind P. Jamakhandi, Yakun Wan, Theo A. Knijnenburg, Antti Niemistö, John Boyle, Richard A. Rachubinski, Ilya Shmulevich, John D. Aitchison

Abstract

Peroxisomes are intracellular organelles that house a number of diverse metabolic processes, notably those required for beta-oxidation of fatty acids. Peroxisomes biogenesis can be induced by the presence of peroxisome proliferators, including fatty acids, which activate complex cellular programs that underlie the induction process. Here, we used multi-parameter quantitative phenotype analyses of an arrayed mutant collection of yeast cells induced to proliferate peroxisomes, to establish a comprehensive inventory of genes required for peroxisome induction and function. The assays employed include growth in the presence of fatty acids, and confocal imaging and flow cytometry through the induction process. In addition to the classical phenotypes associated with loss of peroxisomal functions, these studies identified 169 genes required for robust signaling, transcription, normal peroxisomal development and morphologies, and transmission of peroxisomes to daughter cells. These gene products are localized throughout the cell, and many have indirect connections to peroxisome function. By integration with extant data sets, we present a total of 211 genes linked to peroxisome biogenesis and highlight the complex networks through which information flows during peroxisome biogenesis and function.

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Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Israel 1 1%
Portugal 1 1%
Germany 1 1%
Unknown 65 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 41%
Student > Ph. D. Student 11 15%
Student > Master 6 8%
Student > Bachelor 5 7%
Student > Doctoral Student 3 4%
Other 11 15%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 63%
Biochemistry, Genetics and Molecular Biology 12 17%
Nursing and Health Professions 1 1%
Chemical Engineering 1 1%
Computer Science 1 1%
Other 4 6%
Unknown 7 10%