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Impact of cancer mutational signatures on transcription factor motifs in the human genome
BACKGROUND: Somatic mutations in cancer genomes occur through a variety of molecular mechanisms, which contribute to different mutational patterns. To summarize these, mutational signatures have been defined using a large number of cancer genomes, and related to distinct mutagenic processes. Each ca...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528224/ https://www.ncbi.nlm.nih.gov/pubmed/31109337 http://dx.doi.org/10.1186/s12920-019-0525-4 |
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author | Yiu Chan, Calvin Wing Gu, Zuguang Bieg, Matthias Eils, Roland Herrmann, Carl |
author_facet | Yiu Chan, Calvin Wing Gu, Zuguang Bieg, Matthias Eils, Roland Herrmann, Carl |
author_sort | Yiu Chan, Calvin Wing |
collection | PubMed |
description | BACKGROUND: Somatic mutations in cancer genomes occur through a variety of molecular mechanisms, which contribute to different mutational patterns. To summarize these, mutational signatures have been defined using a large number of cancer genomes, and related to distinct mutagenic processes. Each cancer genome can be compared to this reference dataset and its exposure to one or the other signature be determined. Given the very different mutational patterns of these signatures, we anticipate that they will have distinct impact on genomic elements, in particular motifs for transcription factor binding sites (TFBS). METHODS: We used the 30 mutational signatures from the COSMIC database, and derived a theoretical framework to infer the impact of these signatures on the alteration of transcription factor (TF) binding motifs from the JASPAR database. Hence, we translated the trinucleotide mutation frequencies of the signatures into alteration frequencies of specific TF binding motifs, leading either to creation or disruption of these motifs. RESULTS: Motif families show different susceptibility to alterations induced by the mutational signatures. For certain motifs, a high correlation is observed between the TFBS motif creation and disruption events related to the information content of the motif. Moreover, we observe striking patterns regarding for example the Ets-motif family, for which a high impact of UV induced signatures is observed. Our model also confirms the susceptibility of specific transcription factor motifs to deamination processes. CONCLUSION: Our results show that the mutational signatures have different impact on the binding motifs of transcription factors and that for certain high complexity motifs there is a strong correlation between creation and disruption, related to the information content of the motif. This study represents a background estimation of the alterations due purely to mutational signatures in the absence of additional contributions, e.g. from evolutionary processes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-019-0525-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6528224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65282242019-05-28 Impact of cancer mutational signatures on transcription factor motifs in the human genome Yiu Chan, Calvin Wing Gu, Zuguang Bieg, Matthias Eils, Roland Herrmann, Carl BMC Med Genomics Research Article BACKGROUND: Somatic mutations in cancer genomes occur through a variety of molecular mechanisms, which contribute to different mutational patterns. To summarize these, mutational signatures have been defined using a large number of cancer genomes, and related to distinct mutagenic processes. Each cancer genome can be compared to this reference dataset and its exposure to one or the other signature be determined. Given the very different mutational patterns of these signatures, we anticipate that they will have distinct impact on genomic elements, in particular motifs for transcription factor binding sites (TFBS). METHODS: We used the 30 mutational signatures from the COSMIC database, and derived a theoretical framework to infer the impact of these signatures on the alteration of transcription factor (TF) binding motifs from the JASPAR database. Hence, we translated the trinucleotide mutation frequencies of the signatures into alteration frequencies of specific TF binding motifs, leading either to creation or disruption of these motifs. RESULTS: Motif families show different susceptibility to alterations induced by the mutational signatures. For certain motifs, a high correlation is observed between the TFBS motif creation and disruption events related to the information content of the motif. Moreover, we observe striking patterns regarding for example the Ets-motif family, for which a high impact of UV induced signatures is observed. Our model also confirms the susceptibility of specific transcription factor motifs to deamination processes. CONCLUSION: Our results show that the mutational signatures have different impact on the binding motifs of transcription factors and that for certain high complexity motifs there is a strong correlation between creation and disruption, related to the information content of the motif. This study represents a background estimation of the alterations due purely to mutational signatures in the absence of additional contributions, e.g. from evolutionary processes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-019-0525-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-20 /pmc/articles/PMC6528224/ /pubmed/31109337 http://dx.doi.org/10.1186/s12920-019-0525-4 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Article Yiu Chan, Calvin Wing Gu, Zuguang Bieg, Matthias Eils, Roland Herrmann, Carl Impact of cancer mutational signatures on transcription factor motifs in the human genome |
title | Impact of cancer mutational signatures on transcription factor motifs in the human genome |
title_full | Impact of cancer mutational signatures on transcription factor motifs in the human genome |
title_fullStr | Impact of cancer mutational signatures on transcription factor motifs in the human genome |
title_full_unstemmed | Impact of cancer mutational signatures on transcription factor motifs in the human genome |
title_short | Impact of cancer mutational signatures on transcription factor motifs in the human genome |
title_sort | impact of cancer mutational signatures on transcription factor motifs in the human genome |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528224/ https://www.ncbi.nlm.nih.gov/pubmed/31109337 http://dx.doi.org/10.1186/s12920-019-0525-4 |
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