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TelomereHunter – in silico estimation of telomere content and composition from cancer genomes
BACKGROUND: Establishment of telomere maintenance mechanisms is a universal step in tumor development to achieve replicative immortality. These processes leave molecular footprints in cancer genomes in the form of altered telomere content and aberrations in telomere composition. To retrieve these te...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540518/ https://www.ncbi.nlm.nih.gov/pubmed/31138115 http://dx.doi.org/10.1186/s12859-019-2851-0 |
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author | Feuerbach, Lars Sieverling, Lina Deeg, Katharina I. Ginsbach, Philip Hutter, Barbara Buchhalter, Ivo Northcott, Paul A. Mughal, Sadaf S. Chudasama, Priya Glimm, Hanno Scholl, Claudia Lichter, Peter Fröhling, Stefan Pfister, Stefan M. Jones, David T. W. Rippe, Karsten Brors, Benedikt |
author_facet | Feuerbach, Lars Sieverling, Lina Deeg, Katharina I. Ginsbach, Philip Hutter, Barbara Buchhalter, Ivo Northcott, Paul A. Mughal, Sadaf S. Chudasama, Priya Glimm, Hanno Scholl, Claudia Lichter, Peter Fröhling, Stefan Pfister, Stefan M. Jones, David T. W. Rippe, Karsten Brors, Benedikt |
author_sort | Feuerbach, Lars |
collection | PubMed |
description | BACKGROUND: Establishment of telomere maintenance mechanisms is a universal step in tumor development to achieve replicative immortality. These processes leave molecular footprints in cancer genomes in the form of altered telomere content and aberrations in telomere composition. To retrieve these telomere characteristics from high-throughput sequencing data the available computational approaches need to be extended and optimized to fully exploit the information provided by large scale cancer genome data sets. RESULTS: We here present TelomereHunter, a software for the detailed characterization of telomere maintenance mechanism footprints in the genome. The tool is implemented for the analysis of large cancer genome cohorts and provides a variety of diagnostic diagrams as well as machine-readable output for subsequent analysis. A novel key feature is the extraction of singleton telomere variant repeats, which improves the identification and subclassification of the alternative lengthening of telomeres phenotype. We find that whole genome sequencing-derived telomere content estimates strongly correlate with telomere qPCR measurements (r = 0.94). For the first time, we determine the correlation of in silico telomere content quantification from whole genome sequencing and whole genome bisulfite sequencing data derived from the same tumor sample (r = 0.78). An analogous comparison of whole exome sequencing data and whole genome sequencing data measured slightly lower correlation (r = 0.79). However, this is considerably improved by normalization with matched controls (r = 0.91). CONCLUSIONS: TelomereHunter provides new functionality for the analysis of the footprints of telomere maintenance mechanisms in cancer genomes. Besides whole genome sequencing, whole exome sequencing and whole genome bisulfite sequencing are suited for in silico telomere content quantification, especially if matched control samples are available. The software runs under a GPL license and is available at https://www.dkfz.de/en/applied-bioinformatics/telomerehunter/telomerehunter.html. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2851-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6540518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65405182019-06-03 TelomereHunter – in silico estimation of telomere content and composition from cancer genomes Feuerbach, Lars Sieverling, Lina Deeg, Katharina I. Ginsbach, Philip Hutter, Barbara Buchhalter, Ivo Northcott, Paul A. Mughal, Sadaf S. Chudasama, Priya Glimm, Hanno Scholl, Claudia Lichter, Peter Fröhling, Stefan Pfister, Stefan M. Jones, David T. W. Rippe, Karsten Brors, Benedikt BMC Bioinformatics Methodology Article BACKGROUND: Establishment of telomere maintenance mechanisms is a universal step in tumor development to achieve replicative immortality. These processes leave molecular footprints in cancer genomes in the form of altered telomere content and aberrations in telomere composition. To retrieve these telomere characteristics from high-throughput sequencing data the available computational approaches need to be extended and optimized to fully exploit the information provided by large scale cancer genome data sets. RESULTS: We here present TelomereHunter, a software for the detailed characterization of telomere maintenance mechanism footprints in the genome. The tool is implemented for the analysis of large cancer genome cohorts and provides a variety of diagnostic diagrams as well as machine-readable output for subsequent analysis. A novel key feature is the extraction of singleton telomere variant repeats, which improves the identification and subclassification of the alternative lengthening of telomeres phenotype. We find that whole genome sequencing-derived telomere content estimates strongly correlate with telomere qPCR measurements (r = 0.94). For the first time, we determine the correlation of in silico telomere content quantification from whole genome sequencing and whole genome bisulfite sequencing data derived from the same tumor sample (r = 0.78). An analogous comparison of whole exome sequencing data and whole genome sequencing data measured slightly lower correlation (r = 0.79). However, this is considerably improved by normalization with matched controls (r = 0.91). CONCLUSIONS: TelomereHunter provides new functionality for the analysis of the footprints of telomere maintenance mechanisms in cancer genomes. Besides whole genome sequencing, whole exome sequencing and whole genome bisulfite sequencing are suited for in silico telomere content quantification, especially if matched control samples are available. The software runs under a GPL license and is available at https://www.dkfz.de/en/applied-bioinformatics/telomerehunter/telomerehunter.html. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2851-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-28 /pmc/articles/PMC6540518/ /pubmed/31138115 http://dx.doi.org/10.1186/s12859-019-2851-0 Text en © The Author(s). 2019 Open AccessThis 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 | Methodology Article Feuerbach, Lars Sieverling, Lina Deeg, Katharina I. Ginsbach, Philip Hutter, Barbara Buchhalter, Ivo Northcott, Paul A. Mughal, Sadaf S. Chudasama, Priya Glimm, Hanno Scholl, Claudia Lichter, Peter Fröhling, Stefan Pfister, Stefan M. Jones, David T. W. Rippe, Karsten Brors, Benedikt TelomereHunter – in silico estimation of telomere content and composition from cancer genomes |
title | TelomereHunter – in silico estimation of telomere content and composition from cancer genomes |
title_full | TelomereHunter – in silico estimation of telomere content and composition from cancer genomes |
title_fullStr | TelomereHunter – in silico estimation of telomere content and composition from cancer genomes |
title_full_unstemmed | TelomereHunter – in silico estimation of telomere content and composition from cancer genomes |
title_short | TelomereHunter – in silico estimation of telomere content and composition from cancer genomes |
title_sort | telomerehunter – in silico estimation of telomere content and composition from cancer genomes |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540518/ https://www.ncbi.nlm.nih.gov/pubmed/31138115 http://dx.doi.org/10.1186/s12859-019-2851-0 |
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