Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Language
Publication year range
1.
Wiley Interdiscip Rev RNA ; 14(6): e1812, 2023.
Article in English | MEDLINE | ID: mdl-37544928

ABSTRACT

Cancer is driven by both germline and somatic genetic changes. Efforts have been devoted to characterizing essential genetic variations in cancer initiation and development. Most attention has been given to mutations in protein-coding genes and associated regulatory elements such as promoters and enhancers. The development of sequencing technologies and in silico and experimental methods has allowed further exploration of cancer predisposition variants and important somatic mutations in noncoding RNAs, mainly for long noncoding RNAs and microRNAs. Association studies including GWAS have revealed hereditary variations including SNPs and indels in lncRNA or miRNA genes and regulatory regions. These mutations altered RNA secondary structures, expression levels, and target recognition and then conferred cancer predisposition to carriers. Whole-exome/genome sequencing comparing cancer and normal tissues has revealed important somatic mutations in noncoding RNA genes. Mutation hotspots and somatic copy number alterations have been identified in various tumor-associated noncoding RNAs. Increasing focus and effort have been devoted to studying the noncoding region of the genome. The complex genetic network of cancer initiation is being unveiled. This article is categorized under: RNA in Disease and Development > RNA in Disease.


Subject(s)
MicroRNAs , Neoplasms , RNA, Long Noncoding , Humans , Gene Regulatory Networks , Mutation , MicroRNAs/genetics , Neoplasms/genetics , RNA, Untranslated/genetics , RNA, Long Noncoding/genetics , Genetic Predisposition to Disease
2.
Nucleic Acids Res ; 51(D1): D232-D239, 2023 01 06.
Article in English | MEDLINE | ID: mdl-36373614

ABSTRACT

Noncoding RNAs (ncRNAs) play key regulatory roles in biological processes by interacting with other biomolecules. With the development of high-throughput sequencing and experimental technologies, extensive ncRNA interactions have been accumulated. Therefore, we updated the NPInter database to a fifth version to document these interactions. ncRNA interaction entries were doubled from 1 100 618 to 2 596 695 by manual literature mining and high-throughput data processing. We integrated global RNA-DNA interactions from iMARGI, ChAR-seq and GRID-seq, greatly expanding the number of RNA-DNA interactions (from 888 915 to 8 329 382). In addition, we collected different types of RNA interaction between SARS-CoV-2 virus and its host from recently published studies. Long noncoding RNA (lncRNA) expression specificity in different cell types from tumor single cell RNA-seq (scRNA-seq) data were also integrated to provide a cell-type level view of interactions. A new module named RBP was built to display the interactions of RNA-binding proteins with annotations of localization, binding domains and functions. In conclusion, NPInter v5.0 (http://bigdata.ibp.ac.cn/npinter5/) provides informative and valuable ncRNA interactions for biological researchers.


Subject(s)
Databases, Nucleic Acid , RNA, Untranslated , Humans , COVID-19/genetics , DNA/metabolism , RNA, Long Noncoding/genetics , RNA, Long Noncoding/metabolism , RNA, Untranslated/genetics , RNA, Untranslated/metabolism , SARS-CoV-2/genetics , SARS-CoV-2/metabolism
3.
Mol Carcinog ; 45(6): 431-5, 2006 Jun.
Article in English | MEDLINE | ID: mdl-16652355

ABSTRACT

Inhibition of carcinogenesis by tea and tea polyphenols has been demonstrated in many animal models. The mechanisms of action have been extensively investigated mostly in cell culture systems with (-)-epigallocatechin-3-gallate (EGCG), the most active and major polyphenolic compound from green tea. However, the mechanisms of cancer preventive activity by tea and tea polyphenols are not clearly understood. This article discusses some of the reported mechanisms and possible targets for the action of EGCG. The difficulties and major issues in extrapolating data from studies in cancer cell lines to cancer prevention mechanisms are discussed. Activities observed in cell culture with high concentrations of EGCG may not be relevant because of the limited systemic bioavailability of EGCG. In addition, possible artifacts due to the auto-oxidation of EGCG may complicate this issue. Some recent studies revealed high-affinity EGCG binding proteins as possible direct targets for the action of EGCG. Validating the related cancer preventive mechanisms found in in vitro studies in animal models and human samples would be exciting.


Subject(s)
Anticarcinogenic Agents/pharmacology , Flavonoids/pharmacology , Phenols/pharmacology , Tea/chemistry , Animals , Cell Line , Enzyme Inhibitors/pharmacology , Humans , Mice , Polyphenols
SELECTION OF CITATIONS
SEARCH DETAIL
...