Evidence map›Paper›PMID 16923194›Full record

ArticleBMC genomics2006

Inferring direct regulatory targets from expression and genome location analyses: a comparison of transcription factor deletion and overexpression.

Lin Tang, Xiao Liu, Neil D Clarke

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Lin TangBiophysics and Biophysical Chemistry, Johns Hopkins School of Medicine, Baltimore, MD, USA. ltang@aviaradx.com
Xiao Liu
Neil D Clarke

Funding

Rationalization of Gene Regulation By Genome AnalysisR01GM065179 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI CLARKE, NEIL D. · 2003 to 2005
$987k
NIGMS NIH HHS GM065179NIGMS NIH HHS R01 GM065179
6 · The paper itself

Abstract

backgroundEffects on gene expression due to environmental or genetic changes can be easily measured using microarrays. However, indirect effects on expression can be substantial. The indirect effects of a perturbation need to be distinguished from the direct effects if we are to understand the structure and behavior of regulatory networks.

resultsThe most direct way to perturb a transcriptional network is to alter transcription factor activity. Here, for the first time, we compare expression changes and genomic binding in a simple regulon under conditions of both low and high transcription factor activity. Specifically, we assessed the effects on expression and binding due to deletion of the yeast LEU3 transcription factor gene and effects due to elevation of Leu3 activity. Leu3 activity was elevated through overexpression and the introduction of a mutation that renders the protein constitutively active. Genes that are bound and/or regulated by Leu3 under one or both conditions were characterized in terms of their functional annotations and their predicted potential to be bound by Leu3. We also assessed the evolutionary conservation of the predicted binding potential using a novel alignment-independent method. Both perturbations yield genes that are likely to be direct targets of Leu3, including most of the classically defined targets. Additional direct targets are identified by each of the methods. However, experimental and computational criteria suggest that most genes whose expression is affected by the Leu3 genotype are unlikely to be regulated by binding of the protein.

conclusionMost genes that are differentially expressed by Leu3 are not direct targets despite the exceptional simplicity of the regulon, and the unusually direct nature of the perturbations investigated. These conclusions are reached through computational analyses that support and extend chromatin immunoprecipitation data on the identities of direct targets. These results have implications for the interpretation of expression experiments, especially in cases for which chromatin immunoprecipitation data are unavailable, incomplete, or ambiguous.

Indexed as

2-Isopropylmalate SynthaseBase SequenceChromatin ImmunoprecipitationComputational BiologyDNA-Binding ProteinsGene Expression Regulation, FungalGenome, FungalMutationProtein BindingRegulatory Elements, TranscriptionalSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTrans-ActivatorsTranscription Factors2-Isopropylmalate SynthaseDNA-Binding ProteinsLEU3 protein, S cerevisiaeSaccharomyces cerevisiae ProteinsTrans-ActivatorsTranscription Factors

Identifiers

PMID16923194
PMCPMC1559704

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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.