Development of NIAD-4 derivatives for fluorescence-based detection of protein aggregates†

IF 3.5 Q2 CHEMISTRY, ANALYTICAL
Tze Cin Owyong, Laura E. Shippey, Siyang Ding, David S. Owen, Shouxiang Zhang, Jonathan M. White, Wallace W. H. Wong, David P. Smith and Yuning Hong
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Abstract

Impairment of protein quality control is a critical factor in the development of neurodegenerative disorders like Alzheimer's, Parkinson's and Huntington's disease, characterized by the accumulation of protein aggregates. As such, detection and monitoring of protein aggregates remains a crucial area of study. In this work, we synthesize a series of bithiophene derivatives based on a red emitting amyloid fluorophore NIAD-4. By molecular engineering, widened Stokes shifts and spectral tuning can be achieved in these derivatives. Through molecular docking and aggregation assays, we demonstrate the specificity of these derivatives towards protein fibrils over monomers and amorphous aggregates. Utilizing unbiased flow cytometry together with a cell viability indicator, we show that derivative NIAD-CNOET facilitates the discrimination of cells treated with and without preformed fibrils of α-synuclein, a model of the pathological hallmark of Parkinson's disease.

Abstract Image

用于蛋白聚集体荧光检测的NIAD-4衍生物的研制
蛋白质质量控制的损害是阿尔茨海默病、帕金森病和亨廷顿病等神经退行性疾病发展的关键因素,其特征是蛋白质聚集体的积累。因此,检测和监测蛋白质聚集体仍然是一个重要的研究领域。在这项工作中,我们合成了一系列基于红色淀粉样荧光团NIAD-4的双噻吩衍生物。通过分子工程,可以在这些导数中实现宽斯托克斯位移和光谱调谐。通过分子对接和聚集分析,我们证明了这些衍生物对蛋白质原纤维的特异性,而不是单体和无定形聚集体。利用无偏流式细胞术和细胞活力指标,我们发现衍生物NIAD-CNOET有助于区分有α-突触核蛋白和没有α-突触核蛋白预形成原纤维处理的细胞,α-突触核蛋白是帕金森病的病理标志模型。
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CiteScore
2.30
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