Immunoproteomics technologies in the discovery of autoantigens in autoimmune diseases
Immunoproteomics technologies in the discovery of autoantigens in autoimmune diseases
复制标题
DOI：
10.1515/bmc-2016-0007
复制
发表时间：
2016-05-01
影响因子：
--
通讯作者：
Minden, Jonathan S.
中科院分区：
文献类型：
--
作者：
Ganesan, Vinitha;Ascherman, Dana P.;Minden, Jonathan S.
蛋白质组学技术常用于免疫系统蛋白靶标的鉴定。在这里，我们讨论了免疫蛋白质组学技术用于发现自身免疫性疾病中的自身抗原，其中免疫系统失调在疾病的发病和进展中起着核心作用。这些自身抗原和相关的自身抗体可以作为潜在的生物标志物用于疾病诊断、预后和预测/监测药物反应（治疗学）。在这里，我们比较了多种方法，如质谱（MS）为基础的[血清学蛋白质组分析（SERPA），抗体介导的抗原鉴定（AMIDA），循环免疫复合物（CIC）分析，表面增强激光解吸/电离飞行时间（SELDI-TOF）]，核酸为基础的抗原血清学分析，重组cDNA表达克隆（SEREX），噬菌体免疫沉淀测序- (PhIP-seq)和基于阵列的免疫筛选（蛋白质组学微阵列），荧光素酶免疫沉淀系统（LIPS）、核酸可编程蛋白阵列（NAPPA）方法。我们还回顾了过去10年产生的免疫蛋白质组学数据的相关性，重点是上述基于MS的方法。
Proteomics technologies are often used for the identification of protein targets of the immune system. Here, we discuss the immunoproteomics technologies used for the discovery of autoantigens in autoimmune diseases where immune system dysregulation plays a central role in disease onset and progression. These autoantigens and associated autoantibodies can be used as potential biomarkers for disease diagnostics, prognostics and predicting/ monitoring drug responsiveness (theranostics). Here, we compare a variety of methods such as mass spectrometry (MS)-based [serological proteome analysis (SERPA), antibody mediated identification of antigens ( AMIDA), circulating immune complexome (CIC) analysis, surface enhanced laser desorption/ionization-time of flight (SELDI-TOF)], nucleic acid based serological analysis of antigens by recombinant cDNA expression cloning (SEREX), phage immunoprecipitation sequencing - (PhIP-seq) and array-based immunoscreening (proteomic microarrays), luciferase immunoprecipitation systems (LIPS), nucleic acid programmable protein array (NAPPA) methods. We also review the relevance of immunoproteomic data generated in the last 10 years, with a focus on the aforementioned MS based methods.