𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Molecular mechanisms of oxidative stress-induced carcinogenesis: From epidemiology to oxygenomics

✍ Scribed by Shinya Toyokuni


Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
197 KB
Volume
60
Category
Article
ISSN
1521-6543

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

Oxidative stress is associated with inflammation, radiation, reperfusion, and iron overload. Epidemiological observations have shown that oxidative stress is one of the major sources of carcinogenesis, the top‐ranked cause of human mortality worldwide. In situations of oxidative stress, reactive oxygen and nitrogen species contribute to the alteration of genome information, presumably followed by selection of the adapted proliferating cells in a given environment. Recent data suggest that common molecular mechanisms exist in oxidative stress‐induced carcinogenesis, including p16^INK4A^ inactivation. Thus far, oxidative DNA damage in the genome as a cause of mutation has been recognized to be randomly distributed based on in vitro experiments, while localization of oxidative DNA damage in vivo has not been pursued. However, using a novel technique based on DNA immunoprecipitation in combination with genome information, we now know that the localization of oxidative DNA damage is not random in vivo. We propose to call this rather novel research area β€œoxygenomics.” Many signaling pathways start from the recognition of DNA damage. Thus, possible underlying principles should be elucidated in association with each cell type, the genomic location of the damage with its transcriptional activity as well as the chromatin status determining the epigenetic effect. Β© 2008 IUBMB IUBMB Life, 60(7): 441–447, 2008


πŸ“œ SIMILAR VOLUMES


Can molecular mechanisms of biological p
✍ Maria Novatchkova; Frank Eisenhaber πŸ“‚ Article πŸ“… 2001 πŸ› John Wiley and Sons 🌐 English βš– 383 KB

## Abstract Whereas the genome contains all potential developmental programs, expression profiles permit the determination of genes that are actively transcribed under defined physiological conditions. In this article, the idea of extracting biological mechanisms from expression data is tested. Mol