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Genome-Wide Functional Profiling Reveals Genes Required for Tolerance to Benzene Metabolites in Yeast

Overview of attention for article published in PLOS ONE, August 2011
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Title
Genome-Wide Functional Profiling Reveals Genes Required for Tolerance to Benzene Metabolites in Yeast
Published in
PLOS ONE, August 2011
DOI 10.1371/journal.pone.0024205
Pubmed ID
Authors

Matthew North, Vickram J. Tandon, Reuben Thomas, Alex Loguinov, Inna Gerlovina, Alan E. Hubbard, Luoping Zhang, Martyn T. Smith, Chris D. Vulpe

Abstract

Benzene is a ubiquitous environmental contaminant and is widely used in industry. Exposure to benzene causes a number of serious health problems, including blood disorders and leukemia. Benzene undergoes complex metabolism in humans, making mechanistic determination of benzene toxicity difficult. We used a functional genomics approach to identify the genes that modulate the cellular toxicity of three of the phenolic metabolites of benzene, hydroquinone (HQ), catechol (CAT) and 1,2,4-benzenetriol (BT), in the model eukaryote Saccharomyces cerevisiae. Benzene metabolites generate oxidative and cytoskeletal stress, and tolerance requires correct regulation of iron homeostasis and the vacuolar ATPase. We have identified a conserved bZIP transcription factor, Yap3p, as important for a HQ-specific response pathway, as well as two genes that encode putative NAD(P)H:quinone oxidoreductases, PST2 and YCP4. Many of the yeast genes identified have human orthologs that may modulate human benzene toxicity in a similar manner and could play a role in benzene exposure-related disease.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 17%
Student > Master 8 13%
Researcher 7 11%
Student > Bachelor 4 6%
Professor > Associate Professor 4 6%
Other 10 16%
Unknown 19 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 30%
Biochemistry, Genetics and Molecular Biology 10 16%
Environmental Science 3 5%
Chemistry 2 3%
Materials Science 2 3%
Other 8 13%
Unknown 19 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 August 2011.
All research outputs
#20,145,561
of 22,651,245 outputs
Outputs from PLOS ONE
#172,528
of 193,366 outputs
Outputs of similar age
#114,037
of 124,309 outputs
Outputs of similar age from PLOS ONE
#2,330
of 2,528 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,366 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 2,528 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.