Worstell Nolan C, Krishnan Pratik, Weatherston Joshua D, Wu Hung-Jen
Department of Chemical Engineering, Texas A&M University, College Station, Texas, United States of America.
PLoS One. 2016 Apr 12;11(4):e0153265. doi: 10.1371/journal.pone.0153265. eCollection 2016.
Protein-glycan recognition is often mediated by multivalent binding. These multivalent bindings can be further complicated by cooperative interactions between glycans and individual glycan binding subunits. Here we have demonstrated a nanocube-based lipid bilayer array capable of quantitatively elucidating binding dissociation constants, maximum binding capacity, and binding cooperativity in a high-throughput format. Taking cholera toxin B subunit (CTB) as a model cooperativity system, we studied both GM1 and GM1-like gangliosides binding to CTB. We confirmed the previously observed CTB-GM1 positive cooperativity. Surprisingly, we demonstrated fucosyl-GM1 has approximately 7 times higher CTB binding capacity than GM1. In order to explain this phenomenon, we hypothesized that the reduced binding cooperativity of fucosyl-GM1 caused the increased binding capacity. This was unintuitive, as GM1 exhibited higher binding avidity (16 times lower dissociation constant). We confirmed the hypothesis using a theoretical stepwise binding model of CTB. Moreover, by taking a mixture of fucosyl-GM1 and GM2, we observed the mild binding avidity fucosyl-GM1 activated GM2 receptors enhancing the binding capacity of the lipid bilayer surface. This was unexpected as GM2 receptors have negligible binding avidity in pure GM2 bilayers. These unexpected discoveries demonstrate the importance of binding cooperativity in multivalent binding mechanisms. Thus, quantitative analysis of multivalent protein-glycan interactions in heterogeneous glycan systems is of critical importance. Our user-friendly, robust, and high-throughput nanocube-based lipid bilayer array offers an attractive method for dissecting these complex mechanisms.
蛋白质-聚糖识别通常由多价结合介导。这些多价结合可能会因聚糖与单个聚糖结合亚基之间的协同相互作用而进一步复杂化。在这里,我们展示了一种基于纳米立方体的脂质双层阵列,它能够以高通量形式定量阐明结合解离常数、最大结合容量和结合协同性。以霍乱毒素B亚基(CTB)作为模型协同系统,我们研究了GM1和GM1样神经节苷脂与CTB的结合。我们证实了先前观察到的CTB-GM1正协同性。令人惊讶的是,我们发现岩藻糖基-GM1与CTB的结合能力比GM1高约7倍。为了解释这一现象,我们假设岩藻糖基-GM1结合协同性的降低导致了结合能力的增加。这并不直观,因为GM1表现出更高的结合亲和力(解离常数低16倍)。我们使用CTB的理论逐步结合模型证实了这一假设。此外,通过混合岩藻糖基-GM1和GM2,我们观察到岩藻糖基-GM1轻度的结合亲和力激活了GM2受体,增强了脂质双层表面的结合能力。这是出乎意料的,因为GM2受体在纯GM2双层中的结合亲和力可忽略不计。这些意外发现证明了结合协同性在多价结合机制中的重要性。因此,对异质聚糖系统中多价蛋白质-聚糖相互作用进行定量分析至关重要。我们基于纳米立方体的用户友好、稳健且高通量的脂质双层阵列提供了一种剖析这些复杂机制的有吸引力的方法。