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A regulatory similarity measure using the location information of transcription factor binding sites in Saccharomyces cerevisiae

BACKGROUND: Defining a measure for regulatory similarity (RS) of two genes is an important step toward identifying co-regulated genes. To date, transcription factor binding sites (TFBSs) have been widely used to measure the RS of two genes because transcription factors (TFs) binding to TFBSs in prom...

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Autores principales: Wu, Wei-Sheng, Wei, Ming-Liang, Yeh, Chia-Ming, Chang, Darby Tien-Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4305988/
https://www.ncbi.nlm.nih.gov/pubmed/25560196
http://dx.doi.org/10.1186/1752-0509-8-S5-S9
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author Wu, Wei-Sheng
Wei, Ming-Liang
Yeh, Chia-Ming
Chang, Darby Tien-Hao
author_facet Wu, Wei-Sheng
Wei, Ming-Liang
Yeh, Chia-Ming
Chang, Darby Tien-Hao
author_sort Wu, Wei-Sheng
collection PubMed
description BACKGROUND: Defining a measure for regulatory similarity (RS) of two genes is an important step toward identifying co-regulated genes. To date, transcription factor binding sites (TFBSs) have been widely used to measure the RS of two genes because transcription factors (TFs) binding to TFBSs in promoters is the most crucial and well understood step in gene regulation. However, existing TFBS-based RS measures consider the relation of a TFBS to a gene as a Boolean (either 'presence' or 'absence') without utilizing the information of TFBS locations in promoters. RESULTS: Functional TFBSs of many TFs in yeast are known to have a strong positional preference to occur in a small region in the promoters. This biological knowledge prompts us to develop a novel RS measure that exploits the TFBS location information. The performances of different RS measures are evaluated by the fraction of gene pairs that are co-regulated (validated by literature evidence) by at least one common TF under different RS scores. The experimental results show that the proposed RS measure is the best co-regulation indicator among the six compared RS measures. In addition, the co-regulated genes identified by the proposed RS measure are also shown to be able to benefit three co-regulation-based applications: detecting gene co-function, gene co-expression and protein-protein interactions. CONCLUSIONS: The proposed RS measure provides a good indicator for gene co-regulation. Besides, its good performance reveals the importance of the location information in TFBS-based RS measures.
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spelling pubmed-43059882015-02-12 A regulatory similarity measure using the location information of transcription factor binding sites in Saccharomyces cerevisiae Wu, Wei-Sheng Wei, Ming-Liang Yeh, Chia-Ming Chang, Darby Tien-Hao BMC Syst Biol Research BACKGROUND: Defining a measure for regulatory similarity (RS) of two genes is an important step toward identifying co-regulated genes. To date, transcription factor binding sites (TFBSs) have been widely used to measure the RS of two genes because transcription factors (TFs) binding to TFBSs in promoters is the most crucial and well understood step in gene regulation. However, existing TFBS-based RS measures consider the relation of a TFBS to a gene as a Boolean (either 'presence' or 'absence') without utilizing the information of TFBS locations in promoters. RESULTS: Functional TFBSs of many TFs in yeast are known to have a strong positional preference to occur in a small region in the promoters. This biological knowledge prompts us to develop a novel RS measure that exploits the TFBS location information. The performances of different RS measures are evaluated by the fraction of gene pairs that are co-regulated (validated by literature evidence) by at least one common TF under different RS scores. The experimental results show that the proposed RS measure is the best co-regulation indicator among the six compared RS measures. In addition, the co-regulated genes identified by the proposed RS measure are also shown to be able to benefit three co-regulation-based applications: detecting gene co-function, gene co-expression and protein-protein interactions. CONCLUSIONS: The proposed RS measure provides a good indicator for gene co-regulation. Besides, its good performance reveals the importance of the location information in TFBS-based RS measures. BioMed Central 2014-12-12 /pmc/articles/PMC4305988/ /pubmed/25560196 http://dx.doi.org/10.1186/1752-0509-8-S5-S9 Text en Copyright © 2014 Wu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Wu, Wei-Sheng
Wei, Ming-Liang
Yeh, Chia-Ming
Chang, Darby Tien-Hao
A regulatory similarity measure using the location information of transcription factor binding sites in Saccharomyces cerevisiae
title A regulatory similarity measure using the location information of transcription factor binding sites in Saccharomyces cerevisiae
title_full A regulatory similarity measure using the location information of transcription factor binding sites in Saccharomyces cerevisiae
title_fullStr A regulatory similarity measure using the location information of transcription factor binding sites in Saccharomyces cerevisiae
title_full_unstemmed A regulatory similarity measure using the location information of transcription factor binding sites in Saccharomyces cerevisiae
title_short A regulatory similarity measure using the location information of transcription factor binding sites in Saccharomyces cerevisiae
title_sort regulatory similarity measure using the location information of transcription factor binding sites in saccharomyces cerevisiae
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4305988/
https://www.ncbi.nlm.nih.gov/pubmed/25560196
http://dx.doi.org/10.1186/1752-0509-8-S5-S9
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