Evidence map›Paper›PMID 21548937›Full record

ArticleBMC genomics2011

A comprehensive platform for highly multiplexed mammalian functional genetic screens.

Troy Ketela, Lawrence E Heisler, Kevin R Brown, Ron Ammar, Dahlia Kasimer, Anuradha Surendra, Elke Ericson, Kim Blakely, Dina Karamboulas, Andrew M Smith and 12 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 40 citations in OpenAlex.

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  12. Functional genomic screen of human stem cell differentiation reveals pathways involved in neurodevelopment and neurodegeneration.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
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  18. MISSION LentiPlex pooled shRNA library screening in mammalian cells.Journal of visualized experiments : JoVE · 2011
    Article
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  20. Review
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

22 authors at 2 institutions in 2 countries.

Troy KetelaDonnelly Centre and Banting & Best Department of Medical Research, University of Toronto, Toronto, Canada.
Lawrence E Heisler
Kevin R Brown
Ron Ammar
Dahlia Kasimer
Anuradha Surendra
Elke Ericson
Kim Blakely
Dina Karamboulas
Andrew M Smith
Tanja Durbic
Anthony Arnoldo
Kahlin Cheung-Ong
Judice L Y Koh
Shuba Gopal
Glenn S Cowley
Xiaoping Yang
Jennifer K Grenier
Guri Giaever
David E Root
Jason Moffat
Corey Nislow
University of Toronto · CABroad Institute · US

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

backgroundGenome-wide screening in human and mouse cells using RNA interference and open reading frame over-expression libraries is rapidly becoming a viable experimental approach for many research labs. There are a variety of gene expression modulation libraries commercially available, however, detailed and validated protocols as well as the reagents necessary for deconvolving genome-scale gene screens using these libraries are lacking. As a solution, we designed a comprehensive platform for highly multiplexed functional genetic screens in human, mouse and yeast cells using popular, commercially available gene modulation libraries. The Gene Modulation Array Platform (GMAP) is a single microarray-based detection solution for deconvolution of loss and gain-of-function pooled screens.

resultsExperiments with specially constructed lentiviral-based plasmid pools containing ~78,000 shRNAs demonstrated that the GMAP is capable of deconvolving genome-wide shRNA "dropout" screens. Further experiments with a larger, ~90,000 shRNA pool demonstrate that equivalent results are obtained from plasmid pools and from genomic DNA derived from lentivirus infected cells. Parallel testing of large shRNA pools using GMAP and next-generation sequencing methods revealed that the two methods provide valid and complementary approaches to deconvolution of genome-wide shRNA screens. Additional experiments demonstrated that GMAP is equivalent to similar microarray-based products when used for deconvolution of open reading frame over-expression screens.

conclusionHerein, we demonstrate four major applications for the GMAP resource, including deconvolution of pooled RNAi screens in cells with at least 90,000 distinct shRNAs. We also provide detailed methodologies for pooled shRNA screen readout using GMAP and compare next-generation sequencing to GMAP (i.e. microarray) based deconvolution methods.

Indexed as

AnimalsGenetic TestingGenomicsHumansMiceOligonucleotide Array Sequence AnalysisOpen Reading FramesQuality ControlRNA InterferenceSaccharomyces cerevisiaeSoftware

Identifiers

PMID21548937
PMCPMC3115879
OpenAlexW2099771881

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.