Evidence map›Paper›PMID 21715556›Full record

ArticleGenome research2011

Putting genetic interactions in context through a global modular decomposition.

Jeremy Bellay, Gowtham Atluri, Tina L Sing, Kiana Toufighi, Michael Costanzo, Philippe Souza Moraes Ribeiro, Gaurav Pandey, Joshua Baller, Benjamin VanderSluis, Magali Michaut and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
  2. Biclustering data analysis: a comprehensive survey.Briefings in bioinformatics · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Multiple Forms of Multifunctional Proteins in Health and Disease.Frontiers in cell and developmental biology · 2020
    Review
  7. Article
  8. Review
  9. Reusable building blocks in biological systems.Journal of the Royal Society, Interface · 2018
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

17 authors at 4 institutions in 3 countries.

Jeremy BellayDepartment of Computer Science and Engineering, University of Minnesota-Twin Cities, Minneapolis, Minnesota 55455, USA.
Gowtham Atluri
Tina L Sing
Kiana Toufighi
Michael Costanzo
Philippe Souza Moraes Ribeiro
Gaurav Pandey
Joshua Baller
Benjamin VanderSluis
Magali Michaut
Sangjo Han
Philip Kim
Grant W Brown
Brenda J Andrews
Charles Boone
Vipin Kumar
Chad L Myers
University of Toronto · CAUniversity of Minnesota · USCentre for Genomic Regulation · ESUniversity of California, Berkeley · US

Funding

Mapping the reference genetic network of a eukaryotic cellR01HG005853 · NHGRI · UNIVERSITY OF TORONTO · PI ANDREWS, BRENDA JEAN, BOONE, CHARLES · 2010 to 2025
$7.6M
Methods for large-scale analysis of chemical-genetic interactionsR01HG005084 · NHGRI · UNIVERSITY OF MINNESOTA · PI MYERS, CHAD L · 2010 to 2022
$2.9M
CIHR MOP-84292NHGRI NIH HHS 1R01HG005084-01A1NHGRI NIH HHS 1R01HG005853-01NHGRI NIH HHS R01 HG005084NHGRI NIH HHS R01 HG005853
6 · The paper itself

Abstract

Genetic interactions provide a powerful perspective into gene function, but our knowledge of the specific mechanisms that give rise to these interactions is still relatively limited. The availability of a global genetic interaction map in Saccharomyces cerevisiae, covering ∼30% of all possible double mutant combinations, provides an unprecedented opportunity for an unbiased assessment of the native structure within genetic interaction networks and how it relates to gene function and modular organization. Toward this end, we developed a data mining approach to exhaustively discover all block structures within this network, which allowed for its complete modular decomposition. The resulting modular structures revealed the importance of the context of individual genetic interactions in their interpretation and revealed distinct trends among genetic interaction hubs as well as insights into the evolution of duplicate genes. Block membership also revealed a surprising degree of multifunctionality across the yeast genome and enabled a novel association of VIP1 and IPK1 with DNA replication and repair, which is supported by experimental evidence. Our modular decomposition also provided a basis for testing the between-pathway model of negative genetic interactions and within-pathway model of positive genetic interactions. While we find that most modular structures involving negative genetic interactions fit the between-pathway model, we found that current models for positive genetic interactions fail to explain 80% of the modular structures detected. We also find differences between the modular structures of essential and nonessential genes.

Indexed as

Gene Regulatory NetworksGenes, FungalModels, GeneticProtein Interaction MappingSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSaccharomyces cerevisiae Proteins

Identifiers

PMID21715556
PMCPMC3149503
OpenAlexW2132489564

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.