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使用唾液酸聚糖微阵列分析法分析人血清中的抗Neu5Gc IgG

Profiling Anti-Neu5Gc IgG in Human Sera with a Sialoglycan Microarray Assay.

作者信息

Leviatan Ben-Arye Shani, Yu Hai, Chen Xi, Padler-Karavani Vered

机构信息

Department of Cell Research and Immunology, Tel Aviv University.

Department of Chemistry, University of California-Davis.

出版信息

J Vis Exp. 2017 Jul 13(125):56094. doi: 10.3791/56094.

Abstract

Cells are covered with a cloak of carbohydrate chains (glycans) that is commonly altered in cancer and that includes variations in sialic acid (Sia) expression. These are acidic sugars that have a 9-carbon backbone and that cap vertebrate glycans on cell surfaces. Two of the major Sia forms in mammals are N-acetylneuraminic acid (Neu5Ac) and its hydroxylated form, N-glycolylneuraminic acid (Neu5Gc). Humans cannot produce endogenous Neu5Gc due to the inactivation of the gene encoding cytidine 5'monophosphate-Neu5Ac (CMP-Neu5Ac) hydroxylase (CMAH). Foreign Neu5Gc is acquired by human cells through the dietary consumption of red meat and dairy and subsequently appears on diverse glycans on the cell surface, accumulating mostly on carcinomas. Consequently, humans have circulating anti-Neu5Gc antibodies that play diverse roles in cancer and other chronic inflammation-mediated diseases and that are becoming potential diagnostic and therapeutic targets. Here, we describe a high-throughput sialoglycan microarray assay to assess such anti-Neu5Gc antibodies in the human sera. Neu5Gc-containing glycans and their matched pairs of controls (Neu5Ac-containing glycans), each with a core primary amine, are covalently linked to epoxy-coated glass slides. We exemplify the printing of 56 slides in a 16-well format using a specific nano-printer capable of generating up to 896 arrays per print. Each slide can be used to screen 16 different human sera samples for the evaluation of anti-Neu5Gc antibody specificity, intensity, and diversity. The protocol describes the complexity of this robust tool and provides a basic guideline for those aiming to investigate the response to Neu5Gc dietary carbohydrate antigen in diverse clinical samples in an array format.

摘要

细胞被一层碳水化合物链(聚糖)所覆盖,这种聚糖在癌症中通常会发生改变,其中包括唾液酸(Sia)表达的变化。这些是具有9碳骨架的酸性糖,它们封端细胞表面的脊椎动物聚糖。哺乳动物中两种主要的Sia形式是N - 乙酰神经氨酸(Neu5Ac)及其羟基化形式N - 羟乙酰神经氨酸(Neu5Gc)。由于编码胞苷5'-单磷酸 - Neu5Ac(CMP - Neu5Ac)羟化酶(CMAH)的基因失活,人类无法产生内源性Neu5Gc。人类细胞通过食用红肉和奶制品从饮食中获取外源性Neu5Gc,随后其出现在细胞表面的各种聚糖上,主要在癌细胞上积累。因此,人类体内存在循环抗Neu5Gc抗体,这些抗体在癌症和其他慢性炎症介导的疾病中发挥多种作用,并且正成为潜在的诊断和治疗靶点。在此,我们描述了一种高通量唾液酸聚糖微阵列分析方法,用于评估人血清中的此类抗Neu5Gc抗体。含Neu5Gc的聚糖及其匹配的对照对(含Neu5Ac的聚糖),每个都带有核心伯胺,被共价连接到环氧包被的载玻片上。我们举例说明了使用一种特定的纳米打印机以16孔格式打印56张载玻片,每次打印能够生成多达896个阵列。每张载玻片可用于筛选16种不同的人血清样本,以评估抗Neu5Gc抗体的特异性、强度和多样性。该方案描述了这个强大工具的复杂性,并为那些旨在以阵列形式研究不同临床样本中对Neu5Gc饮食碳水化合物抗原反应的人提供了基本指南。

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