This Article Full Text Full Text (PDF) Purchase Article View Shopping Cart Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Request Copyright Permission Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Medh, R. D. Search for Related Content PubMed PubMed Citation Articles by Medh, R. D.

Microarray-Based Expression Profiling of Normal and Malignant Immune Cells

Department of Biology, California State University at Northridge, Northridge, California 91330

Correspondence: Address all correspondence and requests for reprints to: Rheem D. Medh, Ph.D., Department of Biology, California State University Northridge, 18111 Nordhoff Street, Northridge, California 91330-8303. E-mail: rheem.medh{at}csun.edu

Recent advances in gene microarray technology have facilitated global analyses of gene expression profiles in normal and malignant immune cells. Great strides have been made in our understanding of molecular differences among various types of immune cells, the process of T and B cell activation, and the genomic changes that convert normal cells to malignant ones. Genomic analysis has become a crucial aspect of cancer classification, diagnosis, therapy, and prognosis. This technology has the potential to reveal the comprehensive transcriptional alterations that dictate fundamental biological processes such as signal transduction in response to specific stimuli, cell growth, differentiation, and apoptosis. While reaping the benefits of genomic analyses, it is important to realize its limitations with respect to accuracy of interpretation, reproducibility, and signal detection. It is crucial to optimize signals for individual probe-target pairs and to develop a uniform set of criteria for data analyses. The development of a public-access database of results from individual laboratories will pave the way for identifying discrepancies and advancing scientific breakthroughs.

This article has been cited by other articles:

				K. Korn, P. Gardellin, B. Liao, M. Amacker, A. Bergstrom, H. Bjorkman, A. Camacho, S. Dorhofer, K. Dorre, J. Enstrom, et al. Gene expression analysis using single molecule detection Nucleic Acids Res., August 15, 2003; 31(16): e89 - e89. [Abstract] [Full Text] [PDF]

				R. Silverstein and D. C. Johnson Endogenous versus exogenous glucocorticoid responses to experimental bacterial sepsis J. Leukoc. Biol., April 1, 2003; 73(4): 417 - 427. [Abstract] [Full Text] [PDF]