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A genome scale overexpression screen to reveal drug activity in human cells

Overview of attention for article published in Genome Medicine, April 2014
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Title
A genome scale overexpression screen to reveal drug activity in human cells
Published in
Genome Medicine, April 2014
DOI 10.1186/gm549
Pubmed ID
Authors

Anthony Arnoldo, Saranya Kittanakom, Lawrence E Heisler, Anthony B Mak, Andrey I Shukalyuk, Dax Torti, Jason Moffat, Guri Giaever, Corey Nislow

Abstract

Target identification is a critical step in the lengthy and expensive process of drug development. Here, we describe a genome-wide screening platform that uses systematic overexpression of pooled human ORFs to understand drug mode-of-action and resistance mechanisms. We first calibrated our screen with the well-characterized drug methotrexate. We then identified new genes involved in the bioactivity of diverse drugs including antineoplastic agents and biologically active molecules. Finally, we focused on the transcription factor RHOXF2 whose overexpression conferred resistance to DNA damaging agents. This approach represents an orthogonal method for functional screening and, to our knowledge, has never been reported before.

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The data shown below were collected from the profile of 1 X user 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Italy 1 2%
Germany 1 2%
Unknown 53 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Researcher 12 21%
Student > Bachelor 6 11%
Student > Master 6 11%
Lecturer 3 5%
Other 7 13%
Unknown 9 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 36%
Agricultural and Biological Sciences 13 23%
Immunology and Microbiology 4 7%
Computer Science 3 5%
Neuroscience 2 4%
Other 3 5%
Unknown 11 20%
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 29 April 2014.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Genome Medicine
#1,509
of 1,585 outputs
Outputs of similar age
#178,333
of 242,054 outputs
Outputs of similar age from Genome Medicine
#23
of 23 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 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.