Literature DB >> 12782098

Use of microarray technologies in toxicology research.

Kent E Vrana1, Willard M Freeman, Michael Aschner.   

Abstract

Microarray technology provides a unique tool for the determination of gene expression at the level of messenger RNA (mRNA). The simultaneous measurement of the entire human genome (thousands of genes) will facilitate the uncovering of specific gene expression patterns that are associated with disease. One important application of microarray technology, within the context of neurotoxicological studies, is its use as a screening tool for the identification of molecular mechanisms of toxicity. Such approaches enable researchers to identify those genes and their products (either single or whole pathways) that are involved in conferring resistance or sensitivity to toxic substances. This review addresses: (1) the potential uses of array data; (2) the various array platforms, highlighting both their advantages and disadvantages; (3) insights into data analysis and presentation strategies; and (4) concrete examples of DNA array studies in neurotoxicological research.

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Mesh:

Year:  2003        PMID: 12782098     DOI: 10.1016/S0161-813X(02)00193-6

Source DB:  PubMed          Journal:  Neurotoxicology        ISSN: 0161-813X            Impact factor:   4.294


  3 in total

1.  A heuristic method for discovering biomarker candidates based on rough set theory.

Authors:  Yasuo Kudo; Yoshifumi Okada
Journal:  Bioinformation       Date:  2011-05-26

Review 2.  Gene expression profiling as a tool to investigate the molecular machinery activated during hippocampal neurodegeneration induced by trimethyltin (TMT) administration.

Authors:  Wanda Lattanzi; Valentina Corvino; Valentina Di Maria; Fabrizio Michetti; Maria Concetta Geloso
Journal:  Int J Mol Sci       Date:  2013-08-15       Impact factor: 5.923

3.  Identification of pathways and genes associated with synovitis in osteoarthritis using bioinformatics analyses.

Authors:  Hui Huang; Jiaxuan Zheng; Ningjiang Shen; Guangji Wang; Gang Zhou; Yehan Fang; Jianping Lin; Jianning Zhao
Journal:  Sci Rep       Date:  2018-07-03       Impact factor: 4.379

  3 in total

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