Measuring carbohydrate recognition profile of lectins on live cells using liquid glycan array (LiGA).

IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Nature Protocols Pub Date : 2024-10-16 DOI:10.1038/s41596-024-01070-3
Mirat Sojitra, Edward N Schmidt, Guilherme M Lima, Eric J Carpenter, Kelli A McCord, Alexey Atrazhev, Matthew S Macauley, Ratmir Derda
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Abstract

Glycans constitute a significant fraction of biomolecular diversity on cellular surfaces across all kingdoms of life. As the structure of glycans is not directly encoded by the organism's DNA, it is impossible to use high-throughput DNA technologies to study the role of cellular glycosylation or to understand how glycocalyx is recognized by glycan-binding proteins (GBPs). To address this gap, we recently described a liquid glycan array (LiGA) platform that allows profiling of glycan-GBP interactions on the surface of live cells in vitro and in vivo using next-generation sequencing. LiGA is a library of DNA-barcoded bacteriophages, where each clonal bacteriophage displays 5-1,500 copies of a glycan and the distinct DNA barcode inside each bacteriophage clone encodes the structure and density of the displayed glycans. Deep sequencing of the glycophages associated with live cells yields a glycan-binding profile of GBPs expressed on the surface of cells. This protocol provides detailed instructions for how to use LiGA to probe cell surface receptors and includes information on the preparation of glycophages, analysis by MALDI-TOF mass spectrometry, the assembly of a LiGA library and its deep sequencing. Using this protocol, we measure glycan-binding profiles of the immunomodulatory sialic acid-binding immunoglobulin-like lectins‑1, -2, -6, -7 and -9 expressed on the surface of different cell types. Compared with existing methods that require complex specialist equipment, this method allows users with basic molecular biology expertise to measure the precise glycan-binding profile of GBPs on the surface of any cell type expressing exogenous GBP within 2-3 d.

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利用液态聚糖阵列(LiGA)测量活细胞上凝集素的碳水化合物识别特征。
在所有生物界的细胞表面生物分子多样性中,聚糖占了很大一部分。由于生物体的 DNA 并不直接编码聚糖的结构,因此无法使用高通量 DNA 技术来研究细胞糖基化的作用,也无法了解聚糖结合蛋白(GBP)如何识别聚糖。为了填补这一空白,我们最近描述了一种液态聚糖阵列(LiGA)平台,它可以利用新一代测序技术分析体外和体内活细胞表面的聚糖-GBP相互作用。LiGA 是一个 DNA 条形码噬菌体库,每个克隆噬菌体显示 5-1,500 份聚糖,每个克隆噬菌体内部的不同 DNA 条形码编码所显示聚糖的结构和密度。对与活细胞相关的噬菌体进行深度测序,可获得细胞表面表达的 GBP 的聚糖结合概况。本方案详细说明了如何使用 LiGA 探测细胞表面受体,包括噬糖体的制备、MALDI-TOF 质谱分析、LiGA 文库的组装及其深度测序。利用这一方案,我们测量了表达在不同类型细胞表面的具有免疫调节作用的硅铝酸结合免疫球蛋白样凝集素-1、-2、-6、-7 和-9 的糖结合概况。与现有的需要复杂专业设备的方法相比,这种方法能让具有基本分子生物学专业知识的用户在 2-3 d 内精确测量表达外源 GBP 的任何细胞类型表面 GBP 的糖结合概况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nature Protocols
Nature Protocols 生物-生化研究方法
CiteScore
29.10
自引率
0.70%
发文量
128
审稿时长
4 months
期刊介绍: Nature Protocols focuses on publishing protocols used to address significant biological and biomedical science research questions, including methods grounded in physics and chemistry with practical applications to biological problems. The journal caters to a primary audience of research scientists and, as such, exclusively publishes protocols with research applications. Protocols primarily aimed at influencing patient management and treatment decisions are not featured. The specific techniques covered encompass a wide range, including but not limited to: Biochemistry, Cell biology, Cell culture, Chemical modification, Computational biology, Developmental biology, Epigenomics, Genetic analysis, Genetic modification, Genomics, Imaging, Immunology, Isolation, purification, and separation, Lipidomics, Metabolomics, Microbiology, Model organisms, Nanotechnology, Neuroscience, Nucleic-acid-based molecular biology, Pharmacology, Plant biology, Protein analysis, Proteomics, Spectroscopy, Structural biology, Synthetic chemistry, Tissue culture, Toxicology, and Virology.
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