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Asymmetron: a toolkit for the identification of strand asymmetry patterns in biological sequences
DNA strand asymmetries can have a major effect on several biological functions, including replication, transcription and transcription factor binding. As such, DNA strand asymmetries and mutational strand bias can provide information about biological function. However, a versatile tool to explore th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797064/ https://www.ncbi.nlm.nih.gov/pubmed/33211865 http://dx.doi.org/10.1093/nar/gkaa1052 |
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author | Georgakopoulos-Soares, Ilias Mouratidis, Ioannis Parada, Guillermo E Matharu, Navneet Hemberg, Martin Ahituv, Nadav |
author_facet | Georgakopoulos-Soares, Ilias Mouratidis, Ioannis Parada, Guillermo E Matharu, Navneet Hemberg, Martin Ahituv, Nadav |
author_sort | Georgakopoulos-Soares, Ilias |
collection | PubMed |
description | DNA strand asymmetries can have a major effect on several biological functions, including replication, transcription and transcription factor binding. As such, DNA strand asymmetries and mutational strand bias can provide information about biological function. However, a versatile tool to explore this does not exist. Here, we present Asymmetron, a user-friendly computational tool that performs statistical analysis and visualizations for the evaluation of strand asymmetries. Asymmetron takes as input DNA features provided with strand annotation and outputs strand asymmetries for consecutive occurrences of a single DNA feature or between pairs of features. We illustrate the use of Asymmetron by identifying transcriptional and replicative strand asymmetries of germline structural variant breakpoints. We also show that the orientation of the binding sites of 45% of human transcription factors analyzed have a significant DNA strand bias in transcribed regions, that is also corroborated in ChIP-seq analyses, and is likely associated with transcription. In summary, we provide a novel tool to assess DNA strand asymmetries and show how it can be used to derive new insights across a variety of biological disciplines. |
format | Online Article Text |
id | pubmed-7797064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77970642021-01-13 Asymmetron: a toolkit for the identification of strand asymmetry patterns in biological sequences Georgakopoulos-Soares, Ilias Mouratidis, Ioannis Parada, Guillermo E Matharu, Navneet Hemberg, Martin Ahituv, Nadav Nucleic Acids Res Methods Online DNA strand asymmetries can have a major effect on several biological functions, including replication, transcription and transcription factor binding. As such, DNA strand asymmetries and mutational strand bias can provide information about biological function. However, a versatile tool to explore this does not exist. Here, we present Asymmetron, a user-friendly computational tool that performs statistical analysis and visualizations for the evaluation of strand asymmetries. Asymmetron takes as input DNA features provided with strand annotation and outputs strand asymmetries for consecutive occurrences of a single DNA feature or between pairs of features. We illustrate the use of Asymmetron by identifying transcriptional and replicative strand asymmetries of germline structural variant breakpoints. We also show that the orientation of the binding sites of 45% of human transcription factors analyzed have a significant DNA strand bias in transcribed regions, that is also corroborated in ChIP-seq analyses, and is likely associated with transcription. In summary, we provide a novel tool to assess DNA strand asymmetries and show how it can be used to derive new insights across a variety of biological disciplines. Oxford University Press 2020-11-19 /pmc/articles/PMC7797064/ /pubmed/33211865 http://dx.doi.org/10.1093/nar/gkaa1052 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Georgakopoulos-Soares, Ilias Mouratidis, Ioannis Parada, Guillermo E Matharu, Navneet Hemberg, Martin Ahituv, Nadav Asymmetron: a toolkit for the identification of strand asymmetry patterns in biological sequences |
title | Asymmetron: a toolkit for the identification of strand asymmetry patterns in biological sequences |
title_full | Asymmetron: a toolkit for the identification of strand asymmetry patterns in biological sequences |
title_fullStr | Asymmetron: a toolkit for the identification of strand asymmetry patterns in biological sequences |
title_full_unstemmed | Asymmetron: a toolkit for the identification of strand asymmetry patterns in biological sequences |
title_short | Asymmetron: a toolkit for the identification of strand asymmetry patterns in biological sequences |
title_sort | asymmetron: a toolkit for the identification of strand asymmetry patterns in biological sequences |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797064/ https://www.ncbi.nlm.nih.gov/pubmed/33211865 http://dx.doi.org/10.1093/nar/gkaa1052 |
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