Evidence map›Paper›PMID 26928769›Full record

ArticleNature biotechnology2016

High-throughput identification of genotype-specific cancer vulnerabilities in mixtures of barcoded tumor cell lines.

Channing Yu, Aristotle M Mannan, Griselda Metta Yvone, Kenneth N Ross, Yan-Ling Zhang, Melissa A Marton, Bradley R Taylor, Andrew Crenshaw, Joshua Z Gould, Pablo Tamayo and 11 more

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 230 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
230citing papers in PubMed, 1 pooled it
10.3field-weighted citation impact, top 1% 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

230 citing papers in PubMed, 1 synthesis or guideline pooled it, 378 citations in OpenAlex.

  1. Pooled it
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  9. Harmonization and integration of pharmacogenomics screens.Bioinformatics (Oxford, England) · 2026
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170 more citing papers are in PubMed but not listed here.

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

21 authors at 2 institutions in 1 country.

Channing YuBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.ORCID http://orcid.org/0000-0002-3231-2565
Aristotle M MannanBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Griselda Metta YvoneBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Kenneth N RossBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Yan-Ling ZhangBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Melissa A MartonBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Bradley R TaylorBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Andrew CrenshawBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Joshua Z GouldBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Pablo TamayoBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.ORCID http://orcid.org/0000-0002-9360-4668
Barbara A WeirBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Aviad TsherniakBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.ORCID http://orcid.org/0000-0002-3797-1877
Bang WongBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Levi A GarrawayBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Alykhan F ShamjiBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Michelle A PalmerBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Michael A FoleyBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Wendy WincklerBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Stuart L SchreiberBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Andrew L KungDana-Farber Cancer Institute, Boston, Massachusetts, USA.
Todd R GolubBroad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Broad Institute · USHarvard University · US

Funding

Signatures of Kinase Activation in Cancer (MIT consortium)U54CA112962 · NCI · DANA-FARBER CANCER INSTITUTE · PI GOLUB, TODD R. · 2004 to 2014
$24.2M
Discovery Pipeline (2 of 4)RL1CA133834 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GOLUB, TODD R. · 2007 to 2011
$9.9M
Driving Medical Projects (4 of 4)RL1GM084437 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SCOLNICK, EDWARD MARK · 2007 to 2011
$5.9M
Target ID (3 of 4)RL1HG004671 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SCHREIBER, STUART L · 2007 to 2011
$5.8M
Genomics Based Drug Discovery (1 of 4)UL1DE019585 · NIDCR · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SCHERER, CHRISTINA ANN · 2008 to 2011
$1.5M
Howard Hughes Medical InstituteNCI NIH HHS RL1 CA133834NCI NIH HHS RL1-CA133834NCI NIH HHS U54 CA112962NCI NIH HHS U54CA112962NHGRI NIH HHS RL1 HG004671NHGRI NIH HHS RL1-HG004671NIDCR NIH HHS UL1 DE019585NIDCR NIH HHS UL1DE019585NIGMS NIH HHS RL1 GM084437NIGMS NIH HHS RL1-GM084437
6 · The paper itself

Abstract

Hundreds of genetically characterized cell lines are available for the discovery of genotype-specific cancer vulnerabilities. However, screening large numbers of compounds against large numbers of cell lines is currently impractical, and such experiments are often difficult to control. Here we report a method called PRISM that allows pooled screening of mixtures of cancer cell lines by labeling each cell line with 24-nucleotide barcodes. PRISM revealed the expected patterns of cell killing seen in conventional (unpooled) assays. In a screen of 102 cell lines across 8,400 compounds, PRISM led to the identification of BRD-7880 as a potent and highly specific inhibitor of aurora kinases B and C. Cell line pools also efficiently formed tumors as xenografts, and PRISM recapitulated the expected pattern of erlotinib sensitivity in vivo.

Indexed as

AnimalsCell Line, TumorDNA Barcoding, TaxonomicDrug Resistance, NeoplasmGenotyping TechniquesHigh-Throughput Nucleotide SequencingHumansMiceNeoplasms

Identifiers

PMID26928769
PMCPMC5508574
OpenAlexW2294990791

What OpenQuestion holds

Textmetadata
LicenceTDM
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.