Inferring condition-specific modulation of transcription factor activity in yeast through regulon-based analysis of genomewide expression.

A key goal of systems biology is to understand how genomewide mRNA expression levels are controlled by transcription factors (TFs) in a condition-specific fashion. TF activity is frequently modulated at the post-translational level through ligand binding, covalent modification, or changes in sub-cel...

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Main Authors: André Boorsma, Xiang-Jun Lu, Anna Zakrzewska, Frans M Klis, Harmen J Bussemaker
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2008-09-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC2518834?pdf=render
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author André Boorsma
Xiang-Jun Lu
Anna Zakrzewska
Frans M Klis
Harmen J Bussemaker
author_facet André Boorsma
Xiang-Jun Lu
Anna Zakrzewska
Frans M Klis
Harmen J Bussemaker
author_sort André Boorsma
collection DOAJ
description A key goal of systems biology is to understand how genomewide mRNA expression levels are controlled by transcription factors (TFs) in a condition-specific fashion. TF activity is frequently modulated at the post-translational level through ligand binding, covalent modification, or changes in sub-cellular localization. In this paper, we demonstrate how prior information about regulatory network connectivity can be exploited to infer condition-specific TF activity as a hidden variable from the genomewide mRNA expression pattern in the yeast Saccharomyces cerevisiae.We first validate experimentally that by scoring differential expression at the level of gene sets or "regulons" comprised of the putative targets of a TF, we can accurately predict modulation of TF activity at the post-translational level. Next, we create an interactive database of inferred activities for a large number of TFs across a large number of experimental conditions in S. cerevisiae. This allows us to perform TF-centric analysis of the yeast regulatory network.We analyze the degree to which the mRNA expression level of each TF is predictive of its regulatory activity. We also organize TFs into "co-modulation networks" based on their inferred activity profile across conditions, and find that this reveals functional and mechanistic relationships. Finally, we present evidence that the PAC and rRPE motifs antagonize TBP-dependent regulation, and function as core promoter elements governed by the transcription regulator NC2. Regulon-based monitoring of TF activity modulation is a powerful tool for analyzing regulatory network function that should be applicable in other organisms. Tools and results are available online at http://bussemakerlab.org/RegulonProfiler/.
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spelling doaj.art-1ffedef2ec9e4ea7ae15113e34364bbb2022-12-22T03:11:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032008-09-0139e311210.1371/journal.pone.0003112Inferring condition-specific modulation of transcription factor activity in yeast through regulon-based analysis of genomewide expression.André BoorsmaXiang-Jun LuAnna ZakrzewskaFrans M KlisHarmen J BussemakerA key goal of systems biology is to understand how genomewide mRNA expression levels are controlled by transcription factors (TFs) in a condition-specific fashion. TF activity is frequently modulated at the post-translational level through ligand binding, covalent modification, or changes in sub-cellular localization. In this paper, we demonstrate how prior information about regulatory network connectivity can be exploited to infer condition-specific TF activity as a hidden variable from the genomewide mRNA expression pattern in the yeast Saccharomyces cerevisiae.We first validate experimentally that by scoring differential expression at the level of gene sets or "regulons" comprised of the putative targets of a TF, we can accurately predict modulation of TF activity at the post-translational level. Next, we create an interactive database of inferred activities for a large number of TFs across a large number of experimental conditions in S. cerevisiae. This allows us to perform TF-centric analysis of the yeast regulatory network.We analyze the degree to which the mRNA expression level of each TF is predictive of its regulatory activity. We also organize TFs into "co-modulation networks" based on their inferred activity profile across conditions, and find that this reveals functional and mechanistic relationships. Finally, we present evidence that the PAC and rRPE motifs antagonize TBP-dependent regulation, and function as core promoter elements governed by the transcription regulator NC2. Regulon-based monitoring of TF activity modulation is a powerful tool for analyzing regulatory network function that should be applicable in other organisms. Tools and results are available online at http://bussemakerlab.org/RegulonProfiler/.http://europepmc.org/articles/PMC2518834?pdf=render
spellingShingle André Boorsma
Xiang-Jun Lu
Anna Zakrzewska
Frans M Klis
Harmen J Bussemaker
Inferring condition-specific modulation of transcription factor activity in yeast through regulon-based analysis of genomewide expression.
PLoS ONE
title Inferring condition-specific modulation of transcription factor activity in yeast through regulon-based analysis of genomewide expression.
title_full Inferring condition-specific modulation of transcription factor activity in yeast through regulon-based analysis of genomewide expression.
title_fullStr Inferring condition-specific modulation of transcription factor activity in yeast through regulon-based analysis of genomewide expression.
title_full_unstemmed Inferring condition-specific modulation of transcription factor activity in yeast through regulon-based analysis of genomewide expression.
title_short Inferring condition-specific modulation of transcription factor activity in yeast through regulon-based analysis of genomewide expression.
title_sort inferring condition specific modulation of transcription factor activity in yeast through regulon based analysis of genomewide expression
url http://europepmc.org/articles/PMC2518834?pdf=render
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