Evidence map›Paper›PMID 29043616›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2018

Analyzing Genome Rearrangements in Saccharomyces cerevisiae.

Anjana Srivatsan, Christopher D Putnam, Richard D Kolodner

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. TheThe Journal of biological chemistry · 2018
    Article
  8. 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

3 authors.

Anjana SrivatsanLudwig Institute for Cancer Research, University of California School of Medicine, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0669, USA.
Christopher D PutnamLudwig Institute for Cancer Research, University of California School of Medicine, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0669, USA.
Richard D KolodnerLudwig Institute for Cancer Research, University of California School of Medicine, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0669, USA. rkolodner@ucsd.edu.

Funding

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 R01 GM026017NIGMS NIH HHS R37 GM026017
6 · The paper itself

Abstract

Genome rearrangements underlie different human diseases including many cancers. Determining the rates at which genome rearrangements arise and isolating unique, independent genome rearrangements is critical to understanding the genes and pathways that prevent or promote genome rearrangements. Here, we describe quantitative S. cerevisiae genetic assays for measuring the rates of accumulating genome rearrangements including deletions, translocations, and broken chromosomes healed by de novo telomere addition that result in the deletion of two counter-selectable genes, CAN1 and URA3, placed in the nonessential regions of the S. cerevisiae genome. The assays also allow for the isolation of individual genome rearrangements for structural studies, and a method for analyzing genome rearrangements by next-generation DNA sequencing is provided.

Indexed as

Genome, FungalGenomicsRecombination, GeneticGenomic InstabilityGenomic LibrarySaccharomyces cerevisiaeSequence DeletionTranslocation, GeneticWhole Genome SequencingDeletionDe novo telomere additionDicentric translocationGCR ratesGeneticsGenome instabilityMonocentric translocationWhole-genome sequencing

Identifiers

PMID29043616
PMCPMC5657460

What OpenQuestion holds

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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.