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Genome-Wide Analysis of Promoters: Clustering by Alignment and Analysis of Regular Patterns
In this paper we perform a genome-wide analysis of H. sapiens promoters. To this aim, we developed and combined two mathematical methods that allow us to (i) classify promoters into groups characterized by specific global structural features, and (ii) recover, in full generality, any regular sequenc...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3898993/ https://www.ncbi.nlm.nih.gov/pubmed/24465517 http://dx.doi.org/10.1371/journal.pone.0085260 |
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author | Pettinato, Lucia Calistri, Elisa Di Patti, Francesca Livi, Roberto Luccioli, Stefano |
author_facet | Pettinato, Lucia Calistri, Elisa Di Patti, Francesca Livi, Roberto Luccioli, Stefano |
author_sort | Pettinato, Lucia |
collection | PubMed |
description | In this paper we perform a genome-wide analysis of H. sapiens promoters. To this aim, we developed and combined two mathematical methods that allow us to (i) classify promoters into groups characterized by specific global structural features, and (ii) recover, in full generality, any regular sequence in the different classes of promoters. One of the main findings of this analysis is that H. sapiens promoters can be classified into three main groups. Two of them are distinguished by the prevalence of weak or strong nucleotides and are characterized by short compositionally biased sequences, while the most frequent regular sequences in the third group are strongly correlated with transposons. Taking advantage of the generality of these mathematical procedures, we have compared the promoter database of H. sapiens with those of other species. We have found that the above-mentioned features characterize also the evolutionary content appearing in mammalian promoters, at variance with ancestral species in the phylogenetic tree, that exhibit a definitely lower level of differentiation among promoters. |
format | Online Article Text |
id | pubmed-3898993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38989932014-01-24 Genome-Wide Analysis of Promoters: Clustering by Alignment and Analysis of Regular Patterns Pettinato, Lucia Calistri, Elisa Di Patti, Francesca Livi, Roberto Luccioli, Stefano PLoS One Research Article In this paper we perform a genome-wide analysis of H. sapiens promoters. To this aim, we developed and combined two mathematical methods that allow us to (i) classify promoters into groups characterized by specific global structural features, and (ii) recover, in full generality, any regular sequence in the different classes of promoters. One of the main findings of this analysis is that H. sapiens promoters can be classified into three main groups. Two of them are distinguished by the prevalence of weak or strong nucleotides and are characterized by short compositionally biased sequences, while the most frequent regular sequences in the third group are strongly correlated with transposons. Taking advantage of the generality of these mathematical procedures, we have compared the promoter database of H. sapiens with those of other species. We have found that the above-mentioned features characterize also the evolutionary content appearing in mammalian promoters, at variance with ancestral species in the phylogenetic tree, that exhibit a definitely lower level of differentiation among promoters. Public Library of Science 2014-01-22 /pmc/articles/PMC3898993/ /pubmed/24465517 http://dx.doi.org/10.1371/journal.pone.0085260 Text en © 2014 Pettinato et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Pettinato, Lucia Calistri, Elisa Di Patti, Francesca Livi, Roberto Luccioli, Stefano Genome-Wide Analysis of Promoters: Clustering by Alignment and Analysis of Regular Patterns |
title | Genome-Wide Analysis of Promoters: Clustering by Alignment and Analysis of Regular Patterns |
title_full | Genome-Wide Analysis of Promoters: Clustering by Alignment and Analysis of Regular Patterns |
title_fullStr | Genome-Wide Analysis of Promoters: Clustering by Alignment and Analysis of Regular Patterns |
title_full_unstemmed | Genome-Wide Analysis of Promoters: Clustering by Alignment and Analysis of Regular Patterns |
title_short | Genome-Wide Analysis of Promoters: Clustering by Alignment and Analysis of Regular Patterns |
title_sort | genome-wide analysis of promoters: clustering by alignment and analysis of regular patterns |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3898993/ https://www.ncbi.nlm.nih.gov/pubmed/24465517 http://dx.doi.org/10.1371/journal.pone.0085260 |
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