Evidence map›Paper›PMID 19956643›Full record

ArticlePloS one2009

Chromatin regulation and gene centrality are essential for controlling fitness pleiotropy in yeast.

Linqi Zhou, Xiaotu Ma, Michelle N Arbeitman, Fengzhu Sun

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 2 countries.

Linqi ZhouDepartment of Biological Sciences, University of Southern California, Los Angeles, California, United States of America.
Xiaotu Ma
Michelle N Arbeitman
Fengzhu Sun
University of Southern California · USThe University of Texas at Dallas · US

Funding

Implications of haplotype structure in the human genomeP50HG002790 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TAVARE, SIMON · 2003 to 2013
$29.9M
Genes Underlying Reproductive Behavior and PhysiologyR01GM073039 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARBEITMAN, MICHELLE N · 2006 to 2020
$4.4M
Computational and Statistical Studies for Multiple Molecular NetworksR21AG032743 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SUN, FENGZHU · 2008 to 2009
$367k
NHGRI NIH HHS P50 HG002790NIA NIH HHS R21 AG032743NIA NIH HHS R21AG032743NIGMS NIH HHS R01 GM073039
6 · The paper itself

Abstract

backgroundThere are a wide range of phenotypes that are due to loss-of-function or null mutations. Previously, the functions of gene products that distinguish essential from nonessential genes were characterized. However, the functions of products of non-essential genes that contribute to fitness remain minimally understood. PRINCIPAL

findingsUsing data from Saccharomyces cerevisiae, we investigated several gene characteristics, which we are able to measure, that are significantly associated with a gene's fitness pleiotropy. Fitness pleiotropy is a measurement of the gene's importance to fitness. These characteristics include: 1) whether the gene's product functions in chromatin regulation, 2) whether the regulation of the gene is influenced by chromatin state, measured by chromatin regulation effect (CRE), 3) whether the gene's product functions as a transcription factor (TF) and the number of genes a TF regulates, 4) whether the gene contains TATA-box, and 5) whether the gene's product is central in a protein interaction network. Partial correlation analysis was used to study how these characteristics interact to influence fitness pleiotropy. We show that all five characteristics that were measured are statistically significantly associated with fitness pleiotropy. However, fitness pleiotropy is not associated with the presence of TATA-box when CRE is controlled. In particular, two characteristics: 1) whether the regulation of a gene is more likely to be influenced by chromatin state, and 2) whether the gene product is central in a protein interaction network measured by the number of protein interactions were found to play the most important roles affecting a gene's fitness pleiotropy.

conclusionsThese findings highlight the significance of both epigenetic gene regulation and protein interaction networks in influencing the fitness pleiotropy.

Indexed as

Epigenesis, GeneticGene Expression Regulation, FungalChromatinFungiGene DeletionGene Regulatory NetworksModels, StatisticalMutationPhenotypeProtein Interaction MappingSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTATA BoxTranscription FactorsChromatinSaccharomyces cerevisiae ProteinsTranscription Factors

Identifiers

PMID19956643
PMCPMC2778950
OpenAlexW2024422811

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.