| Literature DB >> 11697218 |
Abstract
This is a review of the approaches that can be used to analyze genetic changes in ovarian cancer. Traditional gene localization methods are discussed, followed by a section on gene identification techniques. Once a putative disease-associated gene has been cloned, mutations have to be identified and analyzed. There are numerous mutation detection methods, and the most common ones are outlined. In the penultimate section, the role of immunohistochemistry as a surrogate method for mutation analysis is considered. Finally, the possible use of functional assays is discussed. At present, it would appear that DNA chip technology for the detection of mutations, and microarray analysis of gene expression, are two important techniques likely to have a significant impact on the genetic analysis of ovarian cancer.Entities:
Mesh:
Year: 2001 PMID: 11697218 DOI: 10.1385/MB:19:1:013
Source DB: PubMed Journal: Mol Biotechnol ISSN: 1073-6085 Impact factor: 2.695