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利用生物传感器和化学信息学探索糖转运蛋白的底物特异性。

Exploring the Substrate Specificity of a Sugar Transporter with Biosensors and Cheminformatics.

机构信息

School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.

School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.

出版信息

ACS Synth Biol. 2023 Feb 17;12(2):565-571. doi: 10.1021/acssynbio.2c00571. Epub 2023 Jan 31.

Abstract

Sugars will eventually be exported transporters (SWEETs) are conserved sugar transporters that play crucial roles in plant physiology and biotechnology. The genomes of flowering plants typically encode about 20 SWEET paralogs that can be classified into four clades. Clades I, II, and IV have been reported to favor hexoses, while clade III SWEETs prefer sucrose. However, the molecular features of substrates required for recognition by members of this family have not been investigated in detail. Here, we show that SweetTrac1, a previously reported biosensor constructed from the Clade I SWEET1, can provide insight into the structural requirements for substrate recognition. The biosensor translates substrate binding to the transporter into a change in fluorescence, and its application in a small-molecule screen combined with cheminformatics uncovered 12 new sugars and their derivatives capable of eliciting a response. Furthermore, we confirmed that the wild-type transporter mediates cellular uptake of three of these species, including the diabetes drugs 1-deoxynojirimycin and voglibose. Our results show that SWEETs can recognize different furanoses, pyranoses, and acyclic sugars, illustrating the potential of combining biosensors and computational techniques to uncover the basis of substrate specificity.

摘要

糖最终会被输出载体(SWEETs)是保守的糖转运蛋白,在植物生理学和生物技术中发挥着关键作用。开花植物的基因组通常编码约 20 个 SWEET 基因家族的同源物,可以分为四个亚家族。I、II 和 IV 亚家族被报道优先转运己糖,而 III 亚家族 SWEET 转运蛋白偏好蔗糖。然而,尚未详细研究该家族成员识别所需底物的分子特征。在这里,我们展示了先前报道的由 I 亚家族 SWEET1 构建的生物传感器 SweetTrac1,可以深入了解底物识别的结构要求。该生物传感器将底物与转运蛋白的结合转化为荧光的变化,并且其在小分子筛选中的应用与化学信息学相结合,发现了 12 种新的能够引发响应的糖及其衍生物。此外,我们证实野生型转运蛋白介导了三种这些物质的细胞摄取,包括糖尿病药物 1-脱氧野尻霉素和伏格列波糖。我们的结果表明 SWEETs 可以识别不同的呋喃糖、吡喃糖和无环糖,说明了结合生物传感器和计算技术来揭示底物特异性基础的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/489b/9942192/2e71d5406a9a/sb2c00571_0002.jpg

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