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Accuracy and application of the motif expression decomposition method in dissecting transcriptional regulation

Understanding transcriptional regulation is a major goal of molecular biology. Motif expression decomposition (MED) was recently introduced to describe the expression level of a gene as the sum of the products of the binding strengths of its cis-regulatory motifs and the activities of the correspond...

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Autores principales: Zhang, Zhihua, Zhang, Jianzhi
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2425491/
https://www.ncbi.nlm.nih.gov/pubmed/18411204
http://dx.doi.org/10.1093/nar/gkn127
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author Zhang, Zhihua
Zhang, Jianzhi
author_facet Zhang, Zhihua
Zhang, Jianzhi
author_sort Zhang, Zhihua
collection PubMed
description Understanding transcriptional regulation is a major goal of molecular biology. Motif expression decomposition (MED) was recently introduced to describe the expression level of a gene as the sum of the products of the binding strengths of its cis-regulatory motifs and the activities of the corresponding trans-acting transcription factors (TFs). Here, we use computer simulation to examine the accuracy of MED. We found that although MED accurately rebuilds gene expression levels from decomposed motif binding strengths and TF activities, estimates of motif binding strengths and TF activities are unreliable. Nonetheless, MED provides accurate estimates of relative binding strengths of the same motif in different genes and relative activities of the same TF under different conditions. We found that reasonably accurate results are achievable with genome-wide expression data from only 30 conditions and that MED results are robust to the existence of unknown occurrences of known motifs, although they are less robust to the presence of unknown motifs. With these understandings, judicious use of MED will likely provide useful information about eukaryotic transcriptional regulation. As an example, MED results are used to demonstrate that motifs generally have higher binding strengths when appearing in multiple copies than appearing in one copy per promoter.
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spelling pubmed-24254912008-06-12 Accuracy and application of the motif expression decomposition method in dissecting transcriptional regulation Zhang, Zhihua Zhang, Jianzhi Nucleic Acids Res Computational Biology Understanding transcriptional regulation is a major goal of molecular biology. Motif expression decomposition (MED) was recently introduced to describe the expression level of a gene as the sum of the products of the binding strengths of its cis-regulatory motifs and the activities of the corresponding trans-acting transcription factors (TFs). Here, we use computer simulation to examine the accuracy of MED. We found that although MED accurately rebuilds gene expression levels from decomposed motif binding strengths and TF activities, estimates of motif binding strengths and TF activities are unreliable. Nonetheless, MED provides accurate estimates of relative binding strengths of the same motif in different genes and relative activities of the same TF under different conditions. We found that reasonably accurate results are achievable with genome-wide expression data from only 30 conditions and that MED results are robust to the existence of unknown occurrences of known motifs, although they are less robust to the presence of unknown motifs. With these understandings, judicious use of MED will likely provide useful information about eukaryotic transcriptional regulation. As an example, MED results are used to demonstrate that motifs generally have higher binding strengths when appearing in multiple copies than appearing in one copy per promoter. Oxford University Press 2008-06 2008-04-14 /pmc/articles/PMC2425491/ /pubmed/18411204 http://dx.doi.org/10.1093/nar/gkn127 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Biology
Zhang, Zhihua
Zhang, Jianzhi
Accuracy and application of the motif expression decomposition method in dissecting transcriptional regulation
title Accuracy and application of the motif expression decomposition method in dissecting transcriptional regulation
title_full Accuracy and application of the motif expression decomposition method in dissecting transcriptional regulation
title_fullStr Accuracy and application of the motif expression decomposition method in dissecting transcriptional regulation
title_full_unstemmed Accuracy and application of the motif expression decomposition method in dissecting transcriptional regulation
title_short Accuracy and application of the motif expression decomposition method in dissecting transcriptional regulation
title_sort accuracy and application of the motif expression decomposition method in dissecting transcriptional regulation
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2425491/
https://www.ncbi.nlm.nih.gov/pubmed/18411204
http://dx.doi.org/10.1093/nar/gkn127
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