Probing the human natural autoantibody repertoire using an immunoscreening approach

利用免疫筛选方法探测人类天然自身抗体库

阅读:1

Abstract

While an increasing number of studies report the presence of antibodies capable of recognizing self-antigens, the function of these natural autoantibodies remains elusive. A variety of concepts has been advanced ranging from evolutionarily tolerated but non-functional natural autoantibodies to autoantibodies effecting various biological functions. Known IgM, IgG, and IgA natural autoantibodies are directed against various antigens, including nuclear and cell surface proteins. To explore further autoantibodies and their autoantigens, we employed an immunological screening method called SEREX recently used to characterize tumour-expressed antigens eliciting an immune response in patients [1]. Sera from 12 individuals were used to screen a cDNA expression library prepared from a cytogenetically normal meningioma to identify antigens reactive with normal human sera from individuals without obvious disease. Nineteen reactive normal antigen clones were identified representing 15 different antigens, including nine genes with known functions, five genes with unknown functions, and one gene with a novel sequence not present in the databases. Of the 12 individual normal sera tested, 75% were reactive to one or more of the 15 different antigens with two highly reactive sera demonstrating reactivity with 33% of the antigens. When screening the same meningioma expression library with serum from the patient, eight antigens were identified that were totally different from those identified using sera from normal individuals. This SEREX immunological screening method presents a new option for probing the natural autoantibody repertoire and identifying normal antigens whose functions may provide additional insights into how natural autoantibodies effect various biological functions.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。