Evidence map›Paper›PMID 20080313›Full record

ArticleTrends in genetics : TIG2010

The strength of transcription-factor binding modulates co-variation in transcriptional networks.

Sergey V Nuzhdin, Anna Rychkova, Matthew W Hahn

Open access · greenAbstract read
In one paragraph

Article in Trends in genetics : TIG, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  4. Article
  5. 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

3 authors at 2 institutions in 1 country.

Sergey V NuzhdinUniversity of Southern California, Program in Molecular and Computational Biology, Los Angeles, CA 90089, USA. snuzhdin@usc.edu <snuzhdin@usc.edu>
Anna Rychkova
Matthew W Hahn
University of Southern California · USIndiana University Bloomington · US

Funding

Quantitative genomics of sexual dimorphismR24GM065513 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI NUZHDIN, SERGEY V · 2002 to 2005
$1.5M
Nucleotide polymorphisms responsible for expression variation in DrosophilaR01GM076643 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NUZHDIN, SERGEY V · 2006 to 2009
$1.2M
QUANTITATIVE TRAIT LOCI RELATED TO DROSOPHILA SPECIATIONR01GM061773 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI NUZHDIN, SERGEY V · 2000 to 2004
$633k
NIGMS NIH HHS R01 GM061773NIGMS NIH HHS R01 GM076643NIGMS NIH HHS R01-GM076643NIGMS NIH HHS R24 GM065513
6 · The paper itself

Abstract

An appreciable fraction of the transcriptome differs in level of expression among individuals. Transcription factor (TF) expression and DNA binding causes cell-specific activation and repression of downstream targets, and TF expression levels vary across individuals. However, it is not clear how the strength of DNA binding for individual TFs translates into regulatory control, or whether a different set of binding motifs is used for strongly regulated modules. Here we integrate two publicly available data sets in Drosophila melanogaster, as well as conduct novel analyses, to address these questions.

Indexed as

Gene Regulatory NetworksGenetic VariationAnimalsDNAProtein BindingTranscription FactorsDNATranscription Factors

Identifiers

PMID20080313
PMCPMC2826431
OpenAlexW2133132048

What OpenQuestion holds

Textmetadata
LicenceTDM
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.