Pharmaceutical Target Identification by Gene Expression Analysis

Author: Walker M.G.

Source: Mini Reviews in Medicinal Chemistry, Volume 1, Number 2, July 2001 , pp. 197-205(9)

Publisher: Bentham Science Publishers

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Abstract:

The majority of newly-identified genes in the human genome show no significant sequence similarity to genes whose function is known, so they are not easily recognized as potential drug targets. Expression analysis is an alternative method to suggest possible functions of genes. We review statistical methods for gene expression analysis to identify potential pharmaceutical targets. Specifically, we illustrate the analysis of differential gene expression (using discriminant analysis, t-tests, and analysis of variance) and co-expression (using correlation, clustering, and chi-square). We present an example of the use of expression analysis to identify co-expressed cardiomyopathy-associated genes.

Keywords: Gene Expression Analysis; CARDIOMYOPATHY-ASSOCIATED GENES; Cardiodilatin; Creatine kinase; Myoglobin; cardiodilatin; Telethonin; Titin; Troponin C

Language: English

Document Type: Review article

DOI: http://dx.doi.org/10.2174/1389557013407034

Publication date: 2001-07-01

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The aim of Mini-Reviews in Medicinal Chemistry is to publish short reviews on the important recent developments in medicinal chemistry and allied disciplines.

The scope of Mini-Reviews in Medicinal Chemistry will cover all areas of medicinal chemistry including developments in rational drug design, synthetic chemistry, bioorganic chemistry, high-throughput screening, combinatorial chemistry, drug targets, and natural product research and structure-activity relationship studies.

Mini-Reviews in Medicinal Chemistry is an essential journal for every medicinal and pharmaceutical chemist who wishes to be kept informed and up-to-date with the latest and most important developments.