Evidence map›Paper›PMID 16157666›Full record

ArticleGenetics2005

Analysis of repeat-mediated deletions in the mitochondrial genome of Saccharomyces cerevisiae.

Naina Phadnis, Rey A Sia, Elaine A Sia

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

28 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Mitochondrial DNA Repair in Neurodegenerative Diseases and Ageing.International journal of molecular sciences · 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

3 authors at 2 institutions in 1 country.

Naina PhadnisDepartment of Biological Sciences, University of Rochester, Rochester, NY 14627, USA.
Rey A Sia
Elaine A Sia
University of Rochester · USSUNY Brockport · US

Funding

DNA Repair and Mutagenesis in S cerevisiaeR01GM063626 · NIGMS · UNIVERSITY OF ROCHESTER · PI SIA, ELAINE A · 2001 to 2005
$1.3M
NIGMS NIH HHS GM 63626NIGMS NIH HHS R01 GM063626Wellcome Trust
6 · The paper itself

Abstract

Mitochondrial DNA deletions and point mutations accumulate in an age-dependent manner in mammals. The mitochondrial genome in aging humans often displays a 4977-bp deletion flanked by short direct repeats. Additionally, direct repeats flank two-thirds of the reported mitochondrial DNA deletions. The mechanism by which these deletions arise is unknown, but direct-repeat-mediated deletions involving polymerase slippage, homologous recombination, and nonhomologous end joining have been proposed. We have developed a genetic reporter to measure the rate at which direct-repeat-mediated deletions arise in the mitochondrial genome of Saccharomyces cerevisiae. Here we analyze the effect of repeat size and heterology between repeats on the rate of deletions. We find that the dependence on homology for repeat-mediated deletions is linear down to 33 bp. Heterology between repeats does not affect the deletion rate substantially. Analysis of recombination products suggests that the deletions are produced by at least two different pathways, one that generates only deletions and one that appears to generate both deletions and reciprocal products of recombination. We discuss how this reporter may be used to identify the proteins in yeast that have an impact on the generation of direct-repeat-mediated deletions.

Indexed as

Gene DeletionModels, GeneticBlotting, SouthernDNA, MitochondrialMutationPolymerase Chain ReactionRepetitive Sequences, Nucleic AcidSaccharomyces cerevisiaeDNA, Mitochondrial

Identifiers

PMID16157666
PMCPMC1456083
OpenAlexW2114255733

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.