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Identification and characteristic analysis of enhancers across 13 major cancer types
Enhancers are often mutated and dysregulated in various diseases such as cancer. By integrating the function annotation of the mammalian genome (FANTOM) enhancers expression profiles and RNA-seq data from The Cancer Genome Atlas (TCGA) of 13 cancers and their corresponding para-cancerous tissues, we...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982554/ https://www.ncbi.nlm.nih.gov/pubmed/35693214 http://dx.doi.org/10.1093/pcmedi/pbab019 |
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author | Qian, Mingming Wang, Wenzhu Zhang, Yana Zhao, Yi Quan, Huige Chen, Yuting Dai, Xinyue Guo, Zhiyun |
author_facet | Qian, Mingming Wang, Wenzhu Zhang, Yana Zhao, Yi Quan, Huige Chen, Yuting Dai, Xinyue Guo, Zhiyun |
author_sort | Qian, Mingming |
collection | PubMed |
description | Enhancers are often mutated and dysregulated in various diseases such as cancer. By integrating the function annotation of the mammalian genome (FANTOM) enhancers expression profiles and RNA-seq data from The Cancer Genome Atlas (TCGA) of 13 cancers and their corresponding para-cancerous tissues, we systematically identified a total of 4702 significantly differentially expressed (DE) enhancers. Furthermore, a total of 1036 DE genes regulated by DE enhancers were identified. It was found that in these 13 cancers, most (61.13%) enhancers were ubiquitously expressed, whereas DE enhancers were more likely to be tissue-specific expressed, and the DE genes regulated by DE enhancers were significantly enriched in cancer-related pathways. Finally, it was manifested that 74 single nucleotide polymorphisms (SNPs) were located in 37 DE enhancers, and these SNPs affected the gain and loss of functional transcription factor binding sites of 758 transcription factors, which were shown to be highly correlated with tumorigenesis and development. |
format | Online Article Text |
id | pubmed-8982554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-89825542022-06-10 Identification and characteristic analysis of enhancers across 13 major cancer types Qian, Mingming Wang, Wenzhu Zhang, Yana Zhao, Yi Quan, Huige Chen, Yuting Dai, Xinyue Guo, Zhiyun Precis Clin Med Methodology Enhancers are often mutated and dysregulated in various diseases such as cancer. By integrating the function annotation of the mammalian genome (FANTOM) enhancers expression profiles and RNA-seq data from The Cancer Genome Atlas (TCGA) of 13 cancers and their corresponding para-cancerous tissues, we systematically identified a total of 4702 significantly differentially expressed (DE) enhancers. Furthermore, a total of 1036 DE genes regulated by DE enhancers were identified. It was found that in these 13 cancers, most (61.13%) enhancers were ubiquitously expressed, whereas DE enhancers were more likely to be tissue-specific expressed, and the DE genes regulated by DE enhancers were significantly enriched in cancer-related pathways. Finally, it was manifested that 74 single nucleotide polymorphisms (SNPs) were located in 37 DE enhancers, and these SNPs affected the gain and loss of functional transcription factor binding sites of 758 transcription factors, which were shown to be highly correlated with tumorigenesis and development. Oxford University Press 2021-08-02 /pmc/articles/PMC8982554/ /pubmed/35693214 http://dx.doi.org/10.1093/pcmedi/pbab019 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the West China School of Medicine & West China Hospital of Sichuan University. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Qian, Mingming Wang, Wenzhu Zhang, Yana Zhao, Yi Quan, Huige Chen, Yuting Dai, Xinyue Guo, Zhiyun Identification and characteristic analysis of enhancers across 13 major cancer types |
title | Identification and characteristic analysis of enhancers across 13 major cancer types |
title_full | Identification and characteristic analysis of enhancers across 13 major cancer types |
title_fullStr | Identification and characteristic analysis of enhancers across 13 major cancer types |
title_full_unstemmed | Identification and characteristic analysis of enhancers across 13 major cancer types |
title_short | Identification and characteristic analysis of enhancers across 13 major cancer types |
title_sort | identification and characteristic analysis of enhancers across 13 major cancer types |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982554/ https://www.ncbi.nlm.nih.gov/pubmed/35693214 http://dx.doi.org/10.1093/pcmedi/pbab019 |
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