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用于研究丙型肝炎病毒连续表位抗体的肽阵列的优化。

Optimization of peptide arrays for studying antibodies to hepatitis C virus continuous epitopes.

机构信息

Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA, United States.

Microarray Core Facility, The Scripps Research Institute, La Jolla, CA, United States.

出版信息

J Immunol Methods. 2014 Jan 15;402(1-2):35-42. doi: 10.1016/j.jim.2013.11.005. Epub 2013 Nov 19.

Abstract

Accurate and in-depth mapping of antibody responses is of great value in vaccine and antibody research. Using hepatitis C virus (HCV) as a model, we developed an affordable and high-throughput microarray-based assay for mapping antibody specificities to continuous antibody epitopes of HCV at high resolution. Important parameters in the chemistry for conjugating peptides/antigens to the array surface, the array layout, fluorophore choice and the methods for data analysis were investigated. Microscopic glass slide pre-coated with N-Hydroxysuccinimide (NHS)-ester (Slide H) was the preferred surface for conjugation of aminooxy-tagged peptides. This combination provides a simple chemical means to orient the peptides to the conjugation surface via an orthogonal covalent linkage at the N- or C-terminus of each peptide. The addition of polyvinyl alcohol to printing buffer gave uniform spot morphology and improved sensitivity and specificity of binding signals. Libraries of overlapping peptides covering the HCV E1 and E2 glycoprotein polypeptides (15-mer, 10 amino acids overlap) of 6 major HCV genotypes and the entire polypeptide sequence of the prototypic strain H77 were synthesized and printed in quadruplets in the assays. The utility of the peptide arrays was confirmed using HCV monoclonal antibodies (mAbs) specific to known continuous epitopes and immune sera of rabbits immunized with HCV antigens. The methods developed here can be easily adapted to studying antibody responses to antigens relevant in vaccine and autoimmune research.

摘要

准确和深入的抗体反应图谱在疫苗和抗体研究中具有重要价值。我们以丙型肝炎病毒 (HCV) 为模型,开发了一种经济高效、高通量的基于微阵列的分析方法,用于高分辨率地绘制 HCV 连续抗体表位的抗体特异性图谱。我们研究了用于将肽/抗原缀合到阵列表面的化学、阵列布局、荧光染料选择和数据分析方法中的重要参数。预先用 N-羟基琥珀酰亚胺 (NHS)-酯 (Slide H) 涂覆的显微镜载玻片是氨基氧基标记肽缀合的首选表面。这种组合通过每个肽的 N 或 C 末端的正交共价键提供了一种简单的化学手段,将肽定向到缀合表面。在打印缓冲液中添加聚乙烯醇可改善斑点形态,提高结合信号的灵敏度和特异性。合成并以四重方式打印了覆盖 HCV E1 和 E2 糖蛋白多肽 (15 -mer,10 个氨基酸重叠) 的 6 种主要 HCV 基因型和原型株 H77 的整个多肽序列的重叠肽文库。使用针对已知连续表位的 HCV 单克隆抗体 (mAb) 和用 HCV 抗原免疫的兔免疫血清证实了肽阵列的实用性。这里开发的方法可以很容易地适应研究与疫苗和自身免疫研究相关的抗原的抗体反应。

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