Protein Recognition of Glycosphingolipids in Membranes: Mechanistic and Quantitative Insights

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL Analytical Chemistry Pub Date : 2025-03-24 DOI:10.1021/acs.analchem.4c03438
Linh Nguyen, Ling Han, Elena N. Kitova, Jianing Li, Nai-Kong V. Cheung, Kenneth K. S. Ng, John S. Klassen
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Abstract

Recognition of glycosphingolipids (GSLs) in cell membranes by glycan-binding proteins (GBPs) is essential for diverse biological processes. However, owing to deficiencies in available analytical methods, the thermodynamics of GBP–GSL interactions remains poorly characterized. Native mass spectrometry (nMS) analysis performed using soluble GSL-containing model membranes provides a direct readout of the identity and stoichiometry of bound GSL ligands and, under certain conditions, can inform on affinity. Yet, for multivalent GBPs capable of engaging multiple model membranes simultaneously, data analysis relies on untested assumptions, which has limited adoption of the assay. Here, we apply mass photometry to quantify a series of high-affinity interactions between glycolipids in soluble model membranes (nanodiscs) and mono- and multivalent GBPs and compare with binding data acquired with nMS. Remarkably, the mass photometry results indicate that glycolipids are distributed nonstatistically across the lipid bilayer and engage in clustering that is sensitive to GBP binding. Moreover, the affinities and stoichiometries (of bound nanodiscs) measured for multivalent GBPs are strongly modulated by glycolipid clustering, which can overwhelm avidity gains from multivalent binding. After normalization for the number of GBP binding sites and glycolipid content, the affinities from mass photometry are found to be, overall, in good agreement with native nMS-derived affinities. Collectively, the findings of this study provide critically needed affinity and stoichiometry benchmarks for assay validation and significant new insights into the mechanisms of GBP recognition of GSLs in model membranes, which serve as a foundation for understanding binding in natural cellular environments.

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膜中鞘糖脂的蛋白质识别:机制和定量见解
糖结合蛋白(GBPs)识别细胞膜中的糖磷脂(GSLs)对多种生物过程至关重要。然而,由于现有分析方法的不足,GBP-GSL 相互作用的热力学特征仍然不甚明了。使用含可溶性 GSL 的模型膜进行的原生质谱(nMS)分析可直接读出结合的 GSL 配体的特性和配比,在某些条件下还能提供亲和力方面的信息。然而,对于能同时与多个模型膜结合的多价 GBP,数据分析依赖于未经测试的假设,这限制了该检测方法的应用。在这里,我们应用质量光度法量化了可溶性模型膜(纳米盘)中糖脂与单价和多价 GBP 之间的一系列高亲和力相互作用,并与 nMS 获得的结合数据进行了比较。值得注意的是,质量光度测定结果表明,糖脂在脂质双分子层中的分布是非统计性的,并且参与了对 GBP 结合敏感的聚类。此外,针对多价 GBP 测得的亲和力和(结合纳米盘的)化学计量系数受到糖脂聚类的强烈调节,糖脂聚类可能会压倒多价结合带来的亲和力增益。在对 GBP 结合位点数量和糖脂含量进行归一化处理后,发现质量光度法得出的亲和力总体上与本地 nMS 得出的亲和力非常一致。总之,本研究的发现为检测验证提供了急需的亲和力和化学计量基准,并为了解模型膜中 GBP 识别 GSLs 的机制提供了重要的新见解,为了解天然细胞环境中的结合奠定了基础。
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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