Sompuram Seshi R, Bastas Gerassimos, Vani Kodela, Bogen Steven A
Medical Discovery Partners, Boston, MA, USA.
Blood. 2008 Jan 1;111(1):302-8. doi: 10.1182/blood-2007-05-090654. Epub 2007 Sep 18.
We describe the first successful clinical application of a new discovery technology, epitope-mediated antigen prediction (E-MAP), to the investigation of multiple myeloma. Until now, there has been no reliable, systematic method to identify the cognate antigens of paraproteins. E-MAP is a variation of previous efforts to reconstruct the epitopes of paraproteins, with the significant difference that it provides enough epitope sequence data so as to enable successful protein database searches. We first reconstruct the paraprotein's epitope by analyzing the peptides that strongly bind. Then, we compile the data and interrogate the nonredundant protein database, searching for a close match. As a clinical proof-of-concept, we apply this technology to uncovering the protein targets of para-proteins in multiple myeloma (MM). E-MAP analysis of 2 MM paraproteins identified human cytomegalovirus (HCMV) as a target in both. E-MAP sequence analysis determined that one para-protein binds to the AD-2S1 epitope of HCMV glycoprotein B. The other binds to the amino terminus of the HCMV UL-48 gene product. We confirmed these predictions using immunoassays and immunoblot analyses. E-MAP represents a new investigative tool for analyzing the role of chronic antigenic stimulation in B-lymphoproliferative disorders.
我们描述了一种新的发现技术——表位介导的抗原预测(E-MAP)在多发性骨髓瘤研究中的首次成功临床应用。到目前为止,还没有可靠、系统的方法来鉴定副蛋白的同源抗原。E-MAP是之前重建副蛋白表位工作的一种变体,其显著差异在于它能提供足够的表位序列数据,从而能够成功进行蛋白质数据库搜索。我们首先通过分析强结合肽来重建副蛋白的表位。然后,我们整理数据并查询非冗余蛋白质数据库,寻找紧密匹配项。作为临床概念验证,我们将这项技术应用于揭示多发性骨髓瘤(MM)中副蛋白的蛋白质靶点。对2种MM副蛋白的E-MAP分析确定人巨细胞病毒(HCMV)在两者中均为靶点。E-MAP序列分析确定一种副蛋白与HCMV糖蛋白B的AD-2S1表位结合。另一种与HCMV UL-48基因产物的氨基末端结合。我们使用免疫测定和免疫印迹分析证实了这些预测。E-MAP代表了一种用于分析慢性抗原刺激在B淋巴细胞增殖性疾病中作用的新研究工具。