Otten L, Gibson M I
Department of Chemistry , University of Warwick , Gibbet Hill Road , Coventry , CV4 7AL UK . Email:
RSC Adv. 2015 Jul 19;5(66):53172-53179. doi: 10.1039/c5ra08857g. Epub 2015 Jun 18.
Carbohydrate-lectin interactions dictate a range of signalling and recognition processes in biological systems. The exploitation of these, particularly for diagnostic applications, is complicated by the inherent promiscuity of lectins along with their low affinity for individual glycans which themselves are challenging to access (bio)synthetically. Inspired by how a 'tongue' can discriminate between hundreds of flavours using a minimal set of multiplexed sensors and a training algorithm, here individual lectins are 'profiled' based on their unique binding profile (barcode) to a range of monosaccharides. By comparing the relative binding of a panel of 5 lectins to 3 monosaccharide-coated surfaces, it was possible to generate a training algorithm that enables correct identification of lectins, even those with similar glycan preferences. This is demonstrated to be useful for discrimination between the cholera and ricin toxin lectins showing the potential of this minimalist approach for exploiting glycan complexity.
碳水化合物-凝集素相互作用决定了生物系统中的一系列信号传导和识别过程。这些相互作用的利用，特别是在诊断应用中，由于凝集素固有的多特异性以及它们对单个聚糖的低亲和力而变得复杂，而单个聚糖本身在（生物）合成上也难以获取。受“舌头”如何使用一组最少的复用传感器和训练算法区分数百种味道的启发，此处基于单个凝集素与一系列单糖的独特结合谱（条形码）对其进行“分析”。通过比较一组5种凝集素与3种单糖包被表面的相对结合情况，有可能生成一种训练算法，即使对于具有相似聚糖偏好的凝集素，也能正确识别。这被证明对于区分霍乱毒素凝集素和蓖麻毒素凝集素很有用，显示了这种极简方法在利用聚糖复杂性方面的潜力。
