Integrated microarray-based tools for detection of genomic DNA damage and repair mechanisms

Van Eijk, Patrick ORCID: https://orcid.org/0000-0001-9549-555X, Teng, Yumin, Bennet, Mark R, Evans, Katie, Powell, James R, Webster, Richard and Reed, Simon ORCID: https://orcid.org/0000-0002-4711-0560 2017. Integrated microarray-based tools for detection of genomic DNA damage and repair mechanisms. Muzi-Falconi, Marco and Brown, Grant W, eds. Genome Instability. Methods in Molecular Biology, Vol. 1672. New York, NY: Humana Press, p. 77. (10.1007/978-1-4939-7306-4_7)

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Abstract

The genetic information contained within the DNA molecule is highly susceptible to chemical and physical insult, caused by both endogenous and exogenous sources that can generate in the order of thousands of lesions a day in each of our cells (Lindahl, Nature 362(6422):709–715, 1993). DNA damages interfere with DNA metabolic processes such as transcription and replication and can be potent inhibitors of cell division and gene expression. To combat these regular threats to genome stability, a host of DNA repair mechanisms have evolved. When DNA lesions are left unrepaired due to defects in the repair pathway, mutations can arise that may alter the genetic information of the cell. DNA repair is thus fundamental to genome stability and defects in all the major repair pathways can lead to cancer predisposition. Therefore, the ability to accurately measure DNA damage at a genomic scale and determine the level, position, and rates of removal by DNA repair can contribute greatly to our understanding of how DNA repair in chromatin is organized throughout the genome. For this reason, we developed the 3D-DIP-Chip protocol described in this chapter. Conducting such measurements has potential applications in a variety of other fields, such as genotoxicity testing and cancer treatment using DNA damage inducing chemotherapy. Being able to detect and measure genomic DNA damage and repair patterns in individuals following treatment with chemotherapy could enable personalized medicine by predicting response to therapy.

Item Type:	Book Section
Date Type:	Publication
Status:	Published
Schools:	Medicine
Subjects:	R Medicine > R Medicine (General)
Publisher:	Humana Press
ISBN:	9781493973057
ISSN:	10643745
Last Modified:	21 Apr 2023 06:30
URI:	https://orca.cardiff.ac.uk/id/eprint/106008

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