Evidence map›Paper›PMID 23129647›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

Bioinformatic identification of genes suppressing genome instability.

Christopher D Putnam, Stephanie R Allen-Soltero, Sandra L Martinez, Jason E Chan, Tikvah K Hayes, Richard D Kolodner

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

23 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Interstitial telomeric sequences promote gross chromosomal rearrangement via multiple mechanisms.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. FEN1 endonuclease as a therapeutic target for human cancers with defects in homologous recombination.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  7. Article
  8. EssentialProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. SET-ting the stage for DNA repair.Nature structural & molecular biology · 2014
    Article
  19. Mutational landscape of yeast mutator strains.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  20. Do mutator mutations fuel tumorigenesis?Cancer metastasis reviews · 2013
    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

6 authors at 1 institution in 2 countries.

Christopher D PutnamLudwig Institute for Cancer Research, Department of Medicine, University of California School of Medicine at San Diego, La Jolla, CA 92093, USA.
Stephanie R Allen-Soltero
Sandra L Martinez
Jason E Chan
Tikvah K Hayes
Richard D Kolodner
Ludwig Cancer Research · BE

Funding

SYNTHETIC SYSTEMSP50GM085764 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M, IDEKER, TREY · 2010 to 2018
$23.3M
ENZYMATIC MECHANISMS OF GENETIC RECOMBINATIONR01GM026017 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Richard D Kolodner · 1985 to 2026
$10.5M
ENZYMATIC MECHANISMS OF GENETIC RECOMBINATIONR37GM026017 · NIGMS · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI KOLODNER, RICHARD D · 1992 to 2001
$759k
NIGMS NIH HHS GM085764NIGMS NIH HHS GM26017NIGMS NIH HHS P50 GM085764NIGMS NIH HHS R01 GM026017NIGMS NIH HHS R37 GM026017
6 · The paper itself

Abstract

Unbiased forward genetic screens for mutations causing increased gross chromosomal rearrangement (GCR) rates in Saccharomyces cerevisiae are hampered by the difficulty in reliably using qualitative GCR assays to detect mutants with small but significantly increased GCR rates. We therefore developed a bioinformatic procedure using genome-wide functional genomics screens to identify and prioritize candidate GCR-suppressing genes on the basis of the shared drug sensitivity suppression and similar genetic interactions as known GCR suppressors. The number of known suppressors was increased from 75 to 110 by testing 87 predicted genes, which identified unanticipated pathways in this process. This analysis explicitly dealt with the lack of concordance among high-throughput datasets to increase the reliability of phenotypic predictions. Additionally, shared phenotypes in one assay were imperfect predictors for shared phenotypes in other assays, indicating that although genome-wide datasets can be useful in aggregate, caution and validation methods are required when deciphering biological functions via surrogate measures, including growth-based genetic interactions.

Indexed as

Genes, SuppressorChromosome AberrationsComputational BiologyDNA DamageGenes, FungalGenetic Association StudiesGenomic InstabilityMolecular Sequence AnnotationMultigene FamilyReproducibility of ResultsSaccharomyces cerevisiae

Identifiers

PMID23129647
PMCPMC3511103
OpenAlexW2142636035

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.