Evidence map›Paper›PMID 29467179›Full record

ArticleMolecular systems biology2018

Toward an integrated map of genetic interactions in cancer cells.

Benedikt Rauscher, Florian Heigwer, Luisa Henkel, Thomas Hielscher, Oksana Voloshanenko, Michael Boutros

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

51 citing papers in PubMed, 84 citations in OpenAlex.

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  18. Computational Approaches for Designing Highly Specific and Efficient sgRNAs.Methods in molecular biology (Clifton, N.J.) · 2022
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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

6 authors at 1 institution in 1 country.

Benedikt RauscherDivision of Signaling and Functional Genomics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Florian HeigwerDivision of Signaling and Functional Genomics, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-8230-1485
Luisa HenkelDivision of Signaling and Functional Genomics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Thomas HielscherDivision of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Oksana VoloshanenkoDivision of Signaling and Functional Genomics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Michael BoutrosDivision of Signaling and Functional Genomics, German Cancer Research Center (DKFZ), Heidelberg, Germany m.boutros@dkfz.de.ORCID 0000-0002-9458-817X
German Cancer Research Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer genomes often harbor hundreds of molecular aberrations. Such genetic variants can be drivers or passengers of tumorigenesis and create vulnerabilities for potential therapeutic exploitation. To identify genotype-dependent vulnerabilities, forward genetic screens in different genetic backgrounds have been conducted. We devised MINGLE, a computational framework to integrate CRISPR/Cas9 screens originating from different libraries building on approaches pioneered for genetic network discovery in model organisms. We applied this method to integrate and analyze data from 85 CRISPR/Cas9 screens in human cancer cells combining functional data with information on genetic variants to explore more than 2.1 million gene-background relationships. In addition to known dependencies, we identified new genotype-specific vulnerabilities of cancer cells. Experimental validation of predicted vulnerabilities identified GANAB and PRKCSH as new positive regulators of Wnt/β-catenin signaling. By clustering genes with similar genetic interaction profiles, we drew the largest genetic network in cancer cells to date. Our scalable approach highlights how diverse genetic screens can be integrated to systematically build informative maps of genetic interactions in cancer, which can grow dynamically as more data are included.

Indexed as

Gene Regulatory NetworksCRISPR-Cas SystemsEpistasis, GeneticGenetic VariationHumansNeoplasmsSystems BiologyWnt Signaling Pathwaycancerepistasisgenetic interactionsnetworkssynthetic lethality

Identifiers

PMID29467179
PMCPMC5820685
OpenAlexW2788332605

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.