Evidence map›Paper›PMID 19690563›Full record

ArticleMolecular systems biology2009

Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture.

Raja Jothi, S Balaji, Arthur Wuster, Joshua A Grochow, Jörg Gsponer, Teresa M Przytycka, L Aravind, M Madan Babu

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

90 citing papers in PubMed, 176 citations in OpenAlex.

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  19. How directed is a directed network?Royal Society open science · 2020
    Article
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30 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 2 countries.

Raja JothiBiostatistics Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC 27709, USA. jothi@mail.nih.gov
S Balaji
Arthur Wuster
Joshua A Grochow
Jörg Gsponer
Teresa M Przytycka
L Aravind
M Madan Babu
MRC Laboratory of Molecular Biology · GBNational Institutes of Health · USNational Center for Biotechnology Information · USUniversity of Chicago · US

Funding

Gene regulatory elements, networks, and mechanismsZIAES102625 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI JOTHI, RAJA · 2009 to 2025
$27.4M
Combinatorial and graph theoretical approach to systems biology and mol. evo.ZIALM200887 · NLM · NATIONAL LIBRARY OF MEDICINE · PI PRZYTYCKA, TERESA · 2009 to 2025
$24.4M
Combinatorial and graph theoretical approach to systems biology and mol. evo.Z01LM200887 · NLM · NATIONAL LIBRARY OF MEDICINE · PI PRZYTYCKA, TERESA · 2008 to 2008
$526k
Intramural NIH HHSMedical Research Council G0600158Medical Research Council MC_U105185859
6 · The paper itself

Abstract

Although several studies have provided important insights into the general principles of biological networks, the link between network organization and the genome-scale dynamics of the underlying entities (genes, mRNAs, and proteins) and its role in systems behavior remain unclear. Here we show that transcription factor (TF) dynamics and regulatory network organization are tightly linked. By classifying TFs in the yeast regulatory network into three hierarchical layers (top, core, and bottom) and integrating diverse genome-scale datasets, we find that the TFs have static and dynamic properties that are similar within a layer and different across layers. At the protein level, the top-layer TFs are relatively abundant, long-lived, and noisy compared with the core- and bottom-layer TFs. Although variability in expression of top-layer TFs might confer a selective advantage, as this permits at least some members in a clonal cell population to initiate a response to changing conditions, tight regulation of the core- and bottom-layer TFs may minimize noise propagation and ensure fidelity in regulation. We propose that the interplay between network organization and TF dynamics could permit differential utilization of the same underlying network by distinct members of a clonal cell population.

Indexed as

Systems BiologyAlgorithmsAmino Acid MotifsChromatin ImmunoprecipitationGene Expression Regulation, FungalGene Regulatory NetworksGenomeGenome, FungalModels, BiologicalModels, StatisticalSaccharomyces cerevisiaeTranscription FactorsTranscription Factors

Identifiers

PMID19690563
PMCPMC2736650
OpenAlexW2101296410

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.