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A cellular genetics approach identifies gene-drug interactions and pinpoints drug toxicity pathway nodes

Overview of attention for article published in Frontiers in Genetics, August 2014
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
A cellular genetics approach identifies gene-drug interactions and pinpoints drug toxicity pathway nodes
Published in
Frontiers in Genetics, August 2014
DOI 10.3389/fgene.2014.00272
Pubmed ID
Authors

Oscar T. Suzuki, Amber Frick, Bethany B. Parks, O. Joseph Trask, Natasha Butz, Brian Steffy, Emmanuel Chan, David K. Scoville, Eric Healy, Cristina Benton, Patricia E. McQuaid, Russell S. Thomas, Tim Wiltshire

Abstract

New approaches to toxicity testing have incorporated high-throughput screening across a broad-range of in vitro assays to identify potential key events in response to chemical or drug treatment. To date, these approaches have primarily utilized repurposed drug discovery assays. In this study, we describe an approach that combines in vitro screening with genetic approaches for the experimental identification of genes and pathways involved in chemical or drug toxicity. Primary embryonic fibroblasts isolated from 32 genetically-characterized inbred mouse strains were treated in concentration-response format with 65 compounds, including pharmaceutical drugs, environmental chemicals, and compounds with known modes-of-action. Integrated cellular responses were measured at 24 and 72 h using high-content imaging and included cell loss, membrane permeability, mitochondrial function, and apoptosis. Genetic association analysis of cross-strain differences in the cellular responses resulted in a collection of candidate loci potentially underlying the variable strain response to each chemical. As a demonstration of the approach, one candidate gene involved in rotenone sensitivity, Cybb, was experimentally validated in vitro and in vivo. Pathway analysis on the combined list of candidate loci across all chemicals identified a number of over-connected nodes that may serve as core regulatory points in toxicity pathways.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 8%
Brazil 1 8%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Ph. D. Student 3 23%
Other 2 15%
Student > Doctoral Student 1 8%
Student > Bachelor 1 8%
Other 2 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 23%
Neuroscience 2 15%
Biochemistry, Genetics and Molecular Biology 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Medicine and Dentistry 1 8%
Other 3 23%
Unknown 2 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 September 2014.
All research outputs
#13,178,901
of 22,761,738 outputs
Outputs from Frontiers in Genetics
#2,934
of 11,758 outputs
Outputs of similar age
#108,993
of 236,210 outputs
Outputs of similar age from Frontiers in Genetics
#66
of 131 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,758 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 236,210 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.