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High DNA melting temperature predicts transcription start site location in human and mouse

The accurate computational prediction of transcription start sites (TSS) in vertebrate genomes is a difficult problem. The physicochemical properties of DNA can be computed in various ways and a many combinations of DNA features have been tested in the past for use as predictors of transcription. We...

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Detalles Bibliográficos
Autores principales: Dineen, David G., Wilm, Andreas, Cunningham, Pádraig, Higgins, Desmond G.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2794178/
https://www.ncbi.nlm.nih.gov/pubmed/19820114
http://dx.doi.org/10.1093/nar/gkp821
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author Dineen, David G.
Wilm, Andreas
Cunningham, Pádraig
Higgins, Desmond G.
author_facet Dineen, David G.
Wilm, Andreas
Cunningham, Pádraig
Higgins, Desmond G.
author_sort Dineen, David G.
collection PubMed
description The accurate computational prediction of transcription start sites (TSS) in vertebrate genomes is a difficult problem. The physicochemical properties of DNA can be computed in various ways and a many combinations of DNA features have been tested in the past for use as predictors of transcription. We looked in detail at melting temperature, which measures the temperature, at which two strands of DNA separate, considering the cooperative nature of this process. We find that peaks in melting temperature correspond closely to experimentally determined transcription start sites in human and mouse chromosomes. Using melting temperature alone, and with simple thresholding, we can predict TSS with accuracy that is competitive with the most accurate state-of-the-art TSS prediction methods. Accuracy is measured using both experimentally and manually determined TSS. The method works especially well with CpG island containing promoters, but also works when CpG islands are absent. This result is clear evidence of the important role of the physical properties of DNA in the process of transcription. It also points to the importance for TSS prediction methods to include melting temperature as prior information.
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spelling pubmed-27941782009-12-16 High DNA melting temperature predicts transcription start site location in human and mouse Dineen, David G. Wilm, Andreas Cunningham, Pádraig Higgins, Desmond G. Nucleic Acids Res Computational Biology The accurate computational prediction of transcription start sites (TSS) in vertebrate genomes is a difficult problem. The physicochemical properties of DNA can be computed in various ways and a many combinations of DNA features have been tested in the past for use as predictors of transcription. We looked in detail at melting temperature, which measures the temperature, at which two strands of DNA separate, considering the cooperative nature of this process. We find that peaks in melting temperature correspond closely to experimentally determined transcription start sites in human and mouse chromosomes. Using melting temperature alone, and with simple thresholding, we can predict TSS with accuracy that is competitive with the most accurate state-of-the-art TSS prediction methods. Accuracy is measured using both experimentally and manually determined TSS. The method works especially well with CpG island containing promoters, but also works when CpG islands are absent. This result is clear evidence of the important role of the physical properties of DNA in the process of transcription. It also points to the importance for TSS prediction methods to include melting temperature as prior information. Oxford University Press 2009-12 2009-10-09 /pmc/articles/PMC2794178/ /pubmed/19820114 http://dx.doi.org/10.1093/nar/gkp821 Text en © The Author(s) 2009. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5/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/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Biology
Dineen, David G.
Wilm, Andreas
Cunningham, Pádraig
Higgins, Desmond G.
High DNA melting temperature predicts transcription start site location in human and mouse
title High DNA melting temperature predicts transcription start site location in human and mouse
title_full High DNA melting temperature predicts transcription start site location in human and mouse
title_fullStr High DNA melting temperature predicts transcription start site location in human and mouse
title_full_unstemmed High DNA melting temperature predicts transcription start site location in human and mouse
title_short High DNA melting temperature predicts transcription start site location in human and mouse
title_sort high dna melting temperature predicts transcription start site location in human and mouse
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2794178/
https://www.ncbi.nlm.nih.gov/pubmed/19820114
http://dx.doi.org/10.1093/nar/gkp821
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