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Cell-surface display applications for characterization of antibody-epitope recognition patterns and antigen discovery in autoimmune disease.

机译:细胞表面显示应用在自身免疫性疾病中表征抗体-表位识别模式和发现抗原。

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摘要

Autoimmune disorders are a group of immune-mediated diseases which arise in an individual when their immune system inappropriately recognizes self-components as non-self components. Collectively, autoimmune diseases are estimated to affect 5-8% of the human population and world-wide prevalence is increasing for unknown reasons. Environmental factors are hypothesized to play a pathogenic role in the majority of autoimmune disorders but current tools are ill-suited for studying and/or discovering antigenic players in autoimmunity. To address this problem, cell-surface display methodologies were developed to understand relationships between antibody recognition and environmental pathogens in autoimmune diseases. A methodology for serum antibody epitope mapping using antigen fragment libraries was devised and implemented to elucidate autoimmune disease-specific epitopes present within a common environmental antigen. Specifically, the findings from this study strengthen the evidence linking Epstein-Barr Nuclear Antigen 1 (EBNA1) epitopes to Systemic Lupus Erythematosus and Multiple Sclerosis, but not Rheumatoid Arthritis, and suggest molecular mimicry between portions of EBNA1 and self-proteins may play a role in propagating these autoimmune diseases. This application serves as a new approach to examining autoimmune disease associations with ubiquitous environmental pathogens, which has been a long-standing challenge. To enable database-driven antigen discovery, a search strategy was developed to identify and expand linear peptide epitopes recognized by Celiac Disease patients' antibodies using randomized peptide libraries. Expansion of identified linear consensus epitopes possessed information content sufficient to unambiguously identify immunodominant epitopes in wheat, barley, and rye cereal grain proteins. Bacterial clones expressing the expanded epitope discriminated celiac and non-celiac patients (n = 78) with exceptional accuracy in a one-way blind test, yielding 100% sensitivity and 98% specificity. Since sequentially expanded epitope discovery (SEED) does not require a priori knowledge of the environmental antigens or organisms involved in pathology, it may be broadly useful for de novo discovery of environmental antigens that give rise to pathological immune responses.
机译:自身免疫性疾病是一组免疫介导的疾病,当其免疫系统不适当地将自身成分识别为非自身成分时,会在个体中发生。总体上,据估计,自身免疫性疾病会影响5-8%的人口,并且由于未知原因,全世界的患病率正在增加。假定环境因素在大多数自身免疫性疾病中起着致病作用,但目前的工具不适用于研究和/或发现自身免疫性中的抗原分子。为了解决这个问题,开发了细胞表面展示方法以了解自身免疫性疾病中抗体识别与环境病原体之间的关系。设计并实施了使用抗原片段文库进行血清抗体表位作图的方法,以阐明常见环境抗原中存在的自身免疫性疾病特异性表位。具体而言,这项研究的发现加强了将爱泼斯坦-巴尔核抗原1(EBNA1)表位与系统性红斑狼疮和多发性硬化联系起来的证据,但对类风湿性关节炎却没有联系,并且表明EBNA1部分与自身蛋白之间的分子拟态性可能起作用传播这些自身免疫性疾病。此应用程序是检查与普遍存在的环境病原体的自身免疫性疾病关联的新方法,这一直是一项长期挑战。为了实现数据库驱动的抗原发现,开发了一种搜索策略,以使用随机化的肽库来识别和扩展被腹腔疾病患者的抗体识别的线性肽表位。鉴定的线性共有表位的扩展具有足以明确鉴定小麦,大麦和黑麦谷物蛋白中免疫优势表位的信息内容。在单向盲法测试中,表达扩展表位的细菌克隆以优异的准确性区分了腹腔和非狂犬病患者(n = 78),灵敏度为100%,特异性为98%。由于顺序扩展的表位发现(SEED)不需要事先了解与病理有关的环境抗原或生物,因此对于从头发现引起病理免疫反应的环境抗原可能广泛有用。

著录项

  • 作者

    Ballew, John Thomas.;

  • 作者单位

    University of California, Santa Barbara.;

  • 授予单位 University of California, Santa Barbara.;
  • 学科 Chemistry Biochemistry.;Engineering Chemical.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 133 p.
  • 总页数 133
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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