Evidence map›Paper›PMID 23739767›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Integrated platform for genome-wide screening and construction of high-density genetic interaction maps in mammalian cells.

Martin Kampmann, Michael C Bassik, Jonathan S Weissman

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
3.5field-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

87 citing papers in PubMed, 134 citations in OpenAlex.

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  9. CRISPRi screens identify the lncRNA,Proceedings of the National Academy of Sciences of the United States of America · 2024
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  15. Review
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  20. Adaptive exchange sustains cullin-RING ubiquitin ligase networks and proper licensing of DNA replication.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article

27 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

3 authors at 1 institution in 1 country.

Martin KampmannDepartment of Cellular and Molecular Pharmacology, California Institute for Quantitative Biomedical Research, University of California, San Francisco, CA 94158, USA.
Michael C Bassik
Jonathan S Weissman
University of California, San Francisco · US

Funding

Bay Area Cancer Target Discovery and Development NetworkU01CA168370 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MCCORMICK, FRANK PATRICK, MCMANUS, MICHAEL T · 2012 to 2016
$3.9M
Howard Hughes Medical InstituteNCI NIH HHS 1U01CA168370-01NCI NIH HHS U01 CA168370
6 · The paper itself

Abstract

A major challenge of the postgenomic era is to understand how human genes function together in normal and disease states. In microorganisms, high-density genetic interaction (GI) maps are a powerful tool to elucidate gene functions and pathways. We have developed an integrated methodology based on pooled shRNA screening in mammalian cells for genome-wide identification of genes with relevant phenotypes and systematic mapping of all GIs among them. We recently demonstrated the potential of this approach in an application to pathways controlling the susceptibility of human cells to the toxin ricin. Here we present the complete quantitative framework underlying our strategy, including experimental design, derivation of quantitative phenotypes from pooled screens, robust identification of hit genes using ultra-complex shRNA libraries, parallel measurement of tens of thousands of GIs from a single double-shRNA experiment, and construction of GI maps. We describe the general applicability of our strategy. Our pooled approach enables rapid screening of the same shRNA library in different cell lines and under different conditions to determine a range of different phenotypes. We illustrate this strategy here for single- and double-shRNA libraries. We compare the roles of genes for susceptibility to ricin and Shiga toxin in different human cell lines and reveal both toxin-specific and cell line-specific pathways. We also present GI maps based on growth and ricin-resistance phenotypes, and we demonstrate how such a comparative GI mapping strategy enables functional dissection of physical complexes and context-dependent pathways.

Indexed as

Genomic LibraryModels, GeneticAnimalsB-LymphocytesChromosome MappingEpistasis, GeneticGenome-Wide Association StudyHeLa CellsHumansK562 CellsLymphomaMammalsPhenotypeRNA, Small InterferingRNA, Small Interferingepistasisfunctional genomicshuman genomeRNA interferencesynthetic lethality

Identifiers

PMID23739767
PMCPMC3690882
OpenAlexW2038161360

What OpenQuestion holds

Textmetadata
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.