Lucchese Alberta, Mittelman Abraham, Lin Mong-Shang, Kanduc Darja, Sinha Animesh A
Department of Biochemistry and Molecular Biology, University of Bari, Via Orabona 4, 70126 Bari, Italy.
J Transl Med. 2004 Dec 11;2(1):43. doi: 10.1186/1479-5876-2-43.
Walking along disease-associated protein sequences in the search for specific segments able to induce cellular immune response may direct clinical research towards effective peptide-based vaccines. To this aim, we are studying the targets of the immune response in autoimmune diseases by applying the principle of non-self-discrimination as a driving concept in the identification of the autoimmunogenic peptide sequences. METHODS: Computer-assisted proteomic analysis of the autoantigen protein sequence and dot-blot/NMR immunoassays are applied to the prediction and subsequent validation of the epitopic sequences. RESULTS: Using the experimental model Pemphigus vulgaris/desmoglein 3, we have identified the antigenic linear determinant recognized by MAb 5H10, a monoclonal antibody raised against the extracellular domain of human desmoglein-3. The computer-assisted search for the Dsg3 epitope was conducted by analyzing the similarity level to the mouse proteome of the human desmoglein protein sequence. Dot-blot immunoassay analyses mapped the epitope within the sequence Dsg349-60 REWVKFAKPCRE, which shows low similarity to the mouse proteome. NMR spectroscopy analyses confirmed the specificity of MAb 5H10 for the predicted epitope. CONCLUSIONS: This report promotes the concept that low level of sequence similarity to the host's proteome may modulate peptide epitopicity.
沿着疾病相关蛋白序列寻找能够诱导细胞免疫反应的特定片段,可能会将临床研究导向有效的基于肽的疫苗。为此,我们通过应用非自我识别原则作为识别自身免疫原性肽序列的驱动概念,来研究自身免疫性疾病中的免疫反应靶点。
将自身抗原蛋白序列的计算机辅助蛋白质组分析以及斑点印迹/核磁共振免疫测定应用于表位序列的预测及后续验证。
使用寻常型天疱疮/桥粒芯糖蛋白3实验模型,我们鉴定出了单克隆抗体5H10所识别的抗原线性决定簇,5H10是一种针对人桥粒芯糖蛋白-3细胞外结构域产生的单克隆抗体。通过分析人桥粒芯糖蛋白序列与小鼠蛋白质组的相似性水平,对桥粒芯糖蛋白3表位进行了计算机辅助搜索。斑点印迹免疫测定分析将表位定位在序列Dsg349-60 REWVKFAKPCRE内,该序列与小鼠蛋白质组的相似性较低。核磁共振波谱分析证实了单克隆抗体5H10对预测表位的特异性。
本报告提出了一个概念,即与宿主蛋白质组的低序列相似性可能会调节肽的表位性。