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通过血清学抗原选择分析自身抗体库。

Profiling the autoantibody repertoire by serological antigen selection.

作者信息

Somers V, Govarts C, Hellings N, Hupperts R, Stinissen P

机构信息

Hasselt University, Biomedical Research Institute, and Transnationale Universiteit Limburg, School of Life Sciences, Agoralaan, Building A, B-3590 Diepenbeek, Belgium.

出版信息

J Autoimmun. 2005 Nov;25(3):223-8. doi: 10.1016/j.jaut.2005.09.023. Epub 2005 Oct 26.

Abstract

The identification of disease related autoantigens targeted by pathogenic T- and B-cell responses is crucial for the development of improved therapies for autoimmune diseases. To identify immunogenic targets recognized by the humoral immune response, we have recently applied a novel and powerful molecular approach, named 'serological antigen selection' (SAS). This method involves the display of a cDNA expression library on filamentous phage and subsequent selection on patient immunoglobulin G (IgG). In the present study, we have cloned a cDNA repertoire from a multiple sclerosis (MS) patient in pVI phage display vectors and performed selections on pooled MS cerebrospinal fluid (CSF) samples immobilized with anti-human IgG. To further streamline this procedure, we report an optimized SAS procedure in which we have successfully established methods for enrichment of MS-specific candidate antigens. In conclusion, the broad applicability of the SAS method makes it a highly promising method for investigating the autoimmune repertoire.

摘要

鉴定致病性T细胞和B细胞反应所靶向的疾病相关自身抗原对于开发改进的自身免疫性疾病治疗方法至关重要。为了鉴定体液免疫反应所识别的免疫原性靶点,我们最近应用了一种新颖且强大的分子方法,即“血清学抗原选择”(SAS)。该方法包括在丝状噬菌体上展示cDNA表达文库,随后用患者免疫球蛋白G(IgG)进行选择。在本研究中,我们已将来自一名多发性硬化症(MS)患者的cDNA文库克隆到pVI噬菌体展示载体中,并在用抗人IgG固定的合并MS脑脊液(CSF)样本上进行选择。为了进一步简化该程序,我们报告了一种优化的SAS程序,其中我们已成功建立了富集MS特异性候选抗原的方法。总之,SAS方法的广泛适用性使其成为研究自身免疫库的极具前景的方法。

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