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Originally published In Press as doi:10.1074/mcp.M600077-MCP200 on March 8, 2006.
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Molecular & Cellular Proteomics 5:1072-1081, 2006.
© 2006 by The American Society for Biochemistry and Molecular Biology, Inc.


Research

From Gene Expression Analysis to Tissue Microarrays

A Rational Approach to Identify Therapeutic and Diagnostic Targets in Lymphoid Malignancies*

Sara Ek{ddagger},§, Ulrika Andréasson{ddagger}, Sophia Hober, Caroline Kampf, Fredrik Pontén, Mathias Uhlén, Hartmut Merz|| and Carl A. K. Borrebaeck{ddagger}

From the {ddagger} Department of Immunotechnology, Lund University, SE-220 07 Lund, Sweden, Department of Biotechnology, Royal Institute of Technology, AlbaNova University Center, SE-106 91 Stockholm, Sweden, and || Institut für Pathologie, Medizinische Universität Schleswig Holstein, Campus Lübeck, 235 38 Lübeck, Germany

Mantle cell lymphoma (MCL) is an aggressive lymphoid malignancy for which better treatment strategies are needed. To identify potential diagnostic and therapeutic targets, a signature consisting of MCL-associated genes was selected based on a comprehensive gene expression analysis of malignant and normal B cells. The corresponding protein epitope signature tags were identified and used to raise monospecific, polyclonal antibodies, which were subsequently analyzed on paraffin-embedded sections of malignant and normal tissue. In this study, we demonstrate that the initial selection strategy of MCL-associated genes successfully allows identification of protein antigens either uniquely expressed or overexpressed in MCL compared with normal lymphoid tissues. We propose that genome-based, affinity proteomics, using protein epitope signature tag-induced antibodies, is an efficient way to rapidly identify a number of disease-associated protein candidates of both previously known and unknown identities.


§ To whom correspondence should be addressed: Dept. of Immunotechnology, Lund University, P O. Box 7031, SE-220 07 Lund, Sweden. Tel.: 46462223824; Fax: 46462224200; E-mail: sara.ek{at}immun.lth.se


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