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epihet for intra-tumoral epigenetic heterogeneity analysis and visualization
Intra-tumoral epigenetic heterogeneity is an indicator of tumor population fitness and is linked to the deregulation of transcription. However, there is no published computational tool to automate the measurement of intra-tumoral epigenetic allelic heterogeneity. We developed an R/Bioconductor packa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801679/ https://www.ncbi.nlm.nih.gov/pubmed/33432081 http://dx.doi.org/10.1038/s41598-020-79627-x |
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author | Chen, Xiaowen Ashoor, Haitham Musich, Ryan Wang, Jiahui Zhang, Mingsheng Zhang, Chao Lu, Mingyang Li, Sheng |
author_facet | Chen, Xiaowen Ashoor, Haitham Musich, Ryan Wang, Jiahui Zhang, Mingsheng Zhang, Chao Lu, Mingyang Li, Sheng |
author_sort | Chen, Xiaowen |
collection | PubMed |
description | Intra-tumoral epigenetic heterogeneity is an indicator of tumor population fitness and is linked to the deregulation of transcription. However, there is no published computational tool to automate the measurement of intra-tumoral epigenetic allelic heterogeneity. We developed an R/Bioconductor package, epihet, to calculate the intra-tumoral epigenetic heterogeneity and to perform differential epigenetic heterogeneity analysis. Furthermore, epihet can implement a biological network analysis workflow for transforming cancer-specific differential epigenetic heterogeneity loci into cancer-related biological function and clinical biomarkers. Finally, we demonstrated epihet utility on acute myeloid leukemia. We found statistically significant differential epigenetic heterogeneity (DEH) loci compared to normal controls and constructed co-epigenetic heterogeneity network and modules. epihet is available at https://bioconductor.org/packages/release/bioc/html/epihet.html. |
format | Online Article Text |
id | pubmed-7801679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78016792021-01-13 epihet for intra-tumoral epigenetic heterogeneity analysis and visualization Chen, Xiaowen Ashoor, Haitham Musich, Ryan Wang, Jiahui Zhang, Mingsheng Zhang, Chao Lu, Mingyang Li, Sheng Sci Rep Article Intra-tumoral epigenetic heterogeneity is an indicator of tumor population fitness and is linked to the deregulation of transcription. However, there is no published computational tool to automate the measurement of intra-tumoral epigenetic allelic heterogeneity. We developed an R/Bioconductor package, epihet, to calculate the intra-tumoral epigenetic heterogeneity and to perform differential epigenetic heterogeneity analysis. Furthermore, epihet can implement a biological network analysis workflow for transforming cancer-specific differential epigenetic heterogeneity loci into cancer-related biological function and clinical biomarkers. Finally, we demonstrated epihet utility on acute myeloid leukemia. We found statistically significant differential epigenetic heterogeneity (DEH) loci compared to normal controls and constructed co-epigenetic heterogeneity network and modules. epihet is available at https://bioconductor.org/packages/release/bioc/html/epihet.html. Nature Publishing Group UK 2021-01-11 /pmc/articles/PMC7801679/ /pubmed/33432081 http://dx.doi.org/10.1038/s41598-020-79627-x Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chen, Xiaowen Ashoor, Haitham Musich, Ryan Wang, Jiahui Zhang, Mingsheng Zhang, Chao Lu, Mingyang Li, Sheng epihet for intra-tumoral epigenetic heterogeneity analysis and visualization |
title | epihet for intra-tumoral epigenetic heterogeneity analysis and visualization |
title_full | epihet for intra-tumoral epigenetic heterogeneity analysis and visualization |
title_fullStr | epihet for intra-tumoral epigenetic heterogeneity analysis and visualization |
title_full_unstemmed | epihet for intra-tumoral epigenetic heterogeneity analysis and visualization |
title_short | epihet for intra-tumoral epigenetic heterogeneity analysis and visualization |
title_sort | epihet for intra-tumoral epigenetic heterogeneity analysis and visualization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801679/ https://www.ncbi.nlm.nih.gov/pubmed/33432081 http://dx.doi.org/10.1038/s41598-020-79627-x |
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