Evidence map›Paper›PMID 24944581›Full record

ArticleGenome medicine2014

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

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

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genome medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 35 citations in OpenAlex.

  1. A unified genetic perturbation language for human cellular programming.bioRxiv : the preprint server for biology · 2025
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  15. Chemical genetics in drug discovery.Current opinion in systems biology · 2017
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Anthony ArnoldoDepartment of Molecular Genetics, University of Toronto, Toronto, M5S 3E1, Canada ; Banting and Best Department of Medical Research, University of Toronto, Toronto, M5S 3E1, Canada ; Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario M5S 3E1, Canada.
Saranya KittanakomDepartment of Molecular Genetics, University of Toronto, Toronto, M5S 3E1, Canada ; Banting and Best Department of Medical Research, University of Toronto, Toronto, M5S 3E1, Canada ; Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario M5S 3E1, Canada.
Lawrence E HeislerDepartment of Molecular Genetics, University of Toronto, Toronto, M5S 3E1, Canada ; Banting and Best Department of Medical Research, University of Toronto, Toronto, M5S 3E1, Canada ; Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario M5S 3E1, Canada ; Donnelly Sequencing Center, University of Toronto, 160 College Street, Toronto, Ontario M5S 3E1, Canada.
Anthony B MakDepartment of Molecular Genetics, University of Toronto, Toronto, M5S 3E1, Canada ; Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario M5S 3E1, Canada.
Andrey I ShukalyukInstitute of Biomaterials and Biomedical Engineering, University of Toronto, 170 College Street, Toronto M5S 3E3, Canada.
Dax TortiDonnelly Sequencing Center, University of Toronto, 160 College Street, Toronto, Ontario M5S 3E1, Canada.
Jason MoffatDepartment of Molecular Genetics, University of Toronto, Toronto, M5S 3E1, Canada ; Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario M5S 3E1, Canada.
Guri GiaeverDepartment of Molecular Genetics, University of Toronto, Toronto, M5S 3E1, Canada ; Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario M5S 3E1, Canada ; Department of Pharmaceutical Sciences, University of Toronto, 144 College Street, Toronto, Ontario M5S 3M2, Canada ; Department of Pharmaceutical Sciences, University of British Columbia, 6619-2405 Wesbrook Mall, Vancouver, BC V6T 1Z3, Canada.
Corey NislowDepartment of Molecular Genetics, University of Toronto, Toronto, M5S 3E1, Canada ; Banting and Best Department of Medical Research, University of Toronto, Toronto, M5S 3E1, Canada ; Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario M5S 3E1, Canada ; Donnelly Sequencing Center, University of Toronto, 160 College Street, Toronto, Ontario M5S 3E1, Canada ; Department of Pharmaceutical Sciences, University of British Columbia, 6619-2405 Wesbrook Mall, Vancouver, BC V6T 1Z3, Canada.
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID24944581
PMCPMC4062067
OpenAlexW2139866374

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.