Evidence map›Paper›PMID 28733404›Full record

ArticleCold Spring Harbor protocols2018

High-Throughput Quantitative Genetic Interaction Mapping in the Fission Yeast

Assen Roguev, Colm J Ryan, Edgar Hartsuiker, Nevan J Krogan

Abstract read
In one paragraph

Article in Cold Spring Harbor protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
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  6. 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

4 authors.

Assen RoguevDepartment of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California 94518 roguev@gmail.com nevan.krogan@ucsf.edu.
Colm J RyanSystems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland.
Edgar HartsuikerNorth West Cancer Research Institute, Bangor University, Bangor LL57 2UW, United Kingdom.
Nevan J KroganDepartment of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California 94518 roguev@gmail.com nevan.krogan@ucsf.edu.

Funding

Comparative Analysis of Genetic Interaction NetworksR01GM084279 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY, KROGAN, NEVAN J · 2008 to 2017
$3.9M
Cancer Research UK 11809NIGMS NIH HHS R01 GM084279
6 · The paper itself

Abstract

Epistasis mapping, in which the phenotype that emerges from combining pairs of mutations is measured quantitatively, is a powerful tool for unbiased study of gene function. When performed at a large scale, this approach has been used to assign function to previously uncharacterized genes, define functional modules and pathways, and study their cross talk. These experiments rely heavily on methods for rapid sampling of binary combinations of mutant alleles by systematic generation of a series of double mutants. Epistasis mapping technologies now exist in various model systems. Here we provide an overview of different epistasis mapping technologies, including the pombe epistasis mapper (PEM) system designed for the collection of quantitative genetic interaction data in fission yeast

Indexed as

Epistasis, GeneticGenes, FungalChromosome MappingGenetics, MicrobialMutationSchizosaccharomycesSelection, Genetic

Identifiers

PMID28733404
PMCPMC6764749

What OpenQuestion holds

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Registered trials

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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.