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Prioritization of gene regulatory interactions from large-scale modules in yeast

BACKGROUND: The identification of groups of co-regulated genes and their transcription factors, called transcriptional modules, has been a focus of many studies about biological systems. While methods have been developed to derive numerous modules from genome-wide data, individual links between regu...

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Autores principales: Lee, Ho-Joon, Manke, Thomas, Bringas, Ricardo, Vingron, Martin
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2244593/
https://www.ncbi.nlm.nih.gov/pubmed/18211684
http://dx.doi.org/10.1186/1471-2105-9-32
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author Lee, Ho-Joon
Manke, Thomas
Bringas, Ricardo
Vingron, Martin
author_facet Lee, Ho-Joon
Manke, Thomas
Bringas, Ricardo
Vingron, Martin
author_sort Lee, Ho-Joon
collection PubMed
description BACKGROUND: The identification of groups of co-regulated genes and their transcription factors, called transcriptional modules, has been a focus of many studies about biological systems. While methods have been developed to derive numerous modules from genome-wide data, individual links between regulatory proteins and target genes still need experimental verification. In this work, we aim to prioritize regulator-target links within transcriptional modules based on three types of large-scale data sources. RESULTS: Starting with putative transcriptional modules from ChIP-chip data, we first derive modules in which target genes show both expression and function coherence. The most reliable regulatory links between transcription factors and target genes are established by identifying intersection of target genes in coherent modules for each enriched functional category. Using a combination of genome-wide yeast data in normal growth conditions and two different reference datasets, we show that our method predicts regulatory interactions with significantly higher predictive power than ChIP-chip binding data alone. A comparison with results from other studies highlights that our approach provides a reliable and complementary set of regulatory interactions. Based on our results, we can also identify functionally interacting target genes, for instance, a group of co-regulated proteins related to cell wall synthesis. Furthermore, we report novel conserved binding sites of a glycoprotein-encoding gene, CIS3, regulated by Swi6-Swi4 and Ndd1-Fkh2-Mcm1 complexes. CONCLUSION: We provide a simple method to prioritize individual TF-gene interactions from large-scale transcriptional modules. In comparison with other published works, we predict a complementary set of regulatory interactions which yields a similar or higher prediction accuracy at the expense of sensitivity. Therefore, our method can serve as an alternative approach to prioritization for further experimental studies.
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spelling pubmed-22445932008-02-15 Prioritization of gene regulatory interactions from large-scale modules in yeast Lee, Ho-Joon Manke, Thomas Bringas, Ricardo Vingron, Martin BMC Bioinformatics Research Article BACKGROUND: The identification of groups of co-regulated genes and their transcription factors, called transcriptional modules, has been a focus of many studies about biological systems. While methods have been developed to derive numerous modules from genome-wide data, individual links between regulatory proteins and target genes still need experimental verification. In this work, we aim to prioritize regulator-target links within transcriptional modules based on three types of large-scale data sources. RESULTS: Starting with putative transcriptional modules from ChIP-chip data, we first derive modules in which target genes show both expression and function coherence. The most reliable regulatory links between transcription factors and target genes are established by identifying intersection of target genes in coherent modules for each enriched functional category. Using a combination of genome-wide yeast data in normal growth conditions and two different reference datasets, we show that our method predicts regulatory interactions with significantly higher predictive power than ChIP-chip binding data alone. A comparison with results from other studies highlights that our approach provides a reliable and complementary set of regulatory interactions. Based on our results, we can also identify functionally interacting target genes, for instance, a group of co-regulated proteins related to cell wall synthesis. Furthermore, we report novel conserved binding sites of a glycoprotein-encoding gene, CIS3, regulated by Swi6-Swi4 and Ndd1-Fkh2-Mcm1 complexes. CONCLUSION: We provide a simple method to prioritize individual TF-gene interactions from large-scale transcriptional modules. In comparison with other published works, we predict a complementary set of regulatory interactions which yields a similar or higher prediction accuracy at the expense of sensitivity. Therefore, our method can serve as an alternative approach to prioritization for further experimental studies. BioMed Central 2008-01-22 /pmc/articles/PMC2244593/ /pubmed/18211684 http://dx.doi.org/10.1186/1471-2105-9-32 Text en Copyright © 2008 Lee et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lee, Ho-Joon
Manke, Thomas
Bringas, Ricardo
Vingron, Martin
Prioritization of gene regulatory interactions from large-scale modules in yeast
title Prioritization of gene regulatory interactions from large-scale modules in yeast
title_full Prioritization of gene regulatory interactions from large-scale modules in yeast
title_fullStr Prioritization of gene regulatory interactions from large-scale modules in yeast
title_full_unstemmed Prioritization of gene regulatory interactions from large-scale modules in yeast
title_short Prioritization of gene regulatory interactions from large-scale modules in yeast
title_sort prioritization of gene regulatory interactions from large-scale modules in yeast
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2244593/
https://www.ncbi.nlm.nih.gov/pubmed/18211684
http://dx.doi.org/10.1186/1471-2105-9-32
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