Multi-omic analysis suggests tumor suppressor genes evolved specific promoter features to optimize cancer resistance. Issue 5 (30th March 2021)
- Record Type:
- Journal Article
- Title:
- Multi-omic analysis suggests tumor suppressor genes evolved specific promoter features to optimize cancer resistance. Issue 5 (30th March 2021)
- Main Title:
- Multi-omic analysis suggests tumor suppressor genes evolved specific promoter features to optimize cancer resistance
- Authors:
- Huang, Dan
Wang, Xiansong
Liu, Yingzhi
Huang, Ziheng
Hu, Xiaoxu
Hu, Wei
Li, Qing
Chan, Hung
Zou, Yidan
Ho, Idy H T
Wang, Yan
Cheng, Alfred S L
Kang, Wei
To, Ka F
Wang, Maggie H T
Wong, Sunny H
Yu, Jun
Gin, Tony
Zhang, Qingpeng
Li, Zheng
Shen, Jianxiong
Zhang, Lin
Chan, Matthew T V
Liu, Xiaodong
Wu, William K K - Abstract:
- Abstract: Tumor suppressor genes (TSGs) exhibit distinct evolutionary features. We speculated that TSG promoters could have evolved specific features that facilitate their tumor-suppressing functions. We found that the promoter CpG dinucleotide frequencies of TSGs are significantly higher than that of non-cancer genes across vertebrate genomes, and positively correlated with gene expression across tissue types. The promoter CpG dinucleotide frequencies of all genes gradually increase with gene age, for which young TSGs have been subject to a stronger evolutionary pressure. Transcription-related features, namely chromatin accessibility, methylation and ZNF263-, SP1-, E2F4- and SP2-binding elements, are associated with gene expression. Moreover, higher promoter CpG dinucleotide frequencies and chromatin accessibility are positively associated with the ability of TSGs to resist downregulation during tumorigenesis. These results were successfully validated with independent datasets. In conclusion, TSGs evolved specific promoter features that optimized cancer resistance through achieving high expression in normal tissues and resistance to downregulation during tumorigenesis.
- Is Part Of:
- Briefings in bioinformatics. Volume 22:Issue 5(2021)
- Journal:
- Briefings in bioinformatics
- Issue:
- Volume 22:Issue 5(2021)
- Issue Display:
- Volume 22, Issue 5 (2021)
- Year:
- 2021
- Volume:
- 22
- Issue:
- 5
- Issue Sort Value:
- 2021-0022-0005-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-03-30
- Subjects:
- promoter evolution -- pan-cancer -- CpG island -- chromatin -- methylation
Genetics -- Data processing -- Periodicals
Molecular biology -- Data processing -- Periodicals
Genomes -- Data processing -- Periodicals
572.80285 - Journal URLs:
- http://bib.oxfordjournals.org ↗
http://www.oxfordjournals.org/content?genre=journal&issn=1477-4054 ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1093/bib/bbab040 ↗
- Languages:
- English
- ISSNs:
- 1467-5463
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2283.958363
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24944.xml