The Lymphochip: A Specialized cDNA Microarray for the Genomic-scale Analysis of Gene Expression in Normal and Malignant Lymphocytes

Ash A. Alizadeh(Howard Hughes Medical Institute), Michael B. Eisen(National Cancer Institute), R. Eric Davis(National Institutes of Health), Chi Ma(Stanford University), Hajeer Sabet(Stanford University), Tracy S. Tran(Stanford University), John Powell(National Cancer Institute), Liming Yang(Howard Hughes Medical Institute), Gracia Martí(National Cancer Institute), Daniel Moore(National Cancer Institute), James R. Hudson(Howard Hughes Medical Institute), Wing C. Chan(Stanford University), Timothy C. Greiner(National Cancer Institute), Dennis D. Weisenburger(National Institutes of Health), Jamés O. Armitage(University of Nebraska Medical Center), Izidore S. Lossos(Howard Hughes Medical Institute), Ronald Levy(University of Nebraska Medical Center), David Botstein(National Institutes of Health), Patrick O. Brown(National Cancer Institute), Louis M. Staudt(University of Nebraska Medical Center)
Cold Spring Harbor Symposia on Quantitative Biology
January 1, 1999
Cited by 252

Abstract

Immunologists have a long tradition of dissecting thecellular components of the immune system based on theexpression of cell surface markers. Because of the easewith which immune cell subsets can be identified andsorted using these markers, the immune system is one ofthe best-understood differentiation systems in mammalian biology. Despite this success, the known lymphoid subsets are defined by using only a handful of theapproximately 100,000 genes in the mammalian genome.Recently, methods have been developed that offer a genomic-scale analysis of gene expression, and we have begun to view the immune system from this new perspective. Two technical advances have enabled this genomicview of biology: high throughput sequencing of cDNA libraries for gene discovery (Adams et al. 1992) and microarray technology for genomic-scale quantitation ofgene expression (Schena et al. 1995, 1996; Lockhart et al.1996; Shalon et al. 1996). These two technologies are intimately coupled, since microarray technology can onlymeasure the expression of genes for which a sequenceand/or a physical clone exists. In this paper, we summarize our work combining these two methodologies to understand the gene expression program of normal B-lymphocyte differentiation and its relationship to the geneexpression profiles of human B-cell malignancies...


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