荧光
肽
化学
生物物理学
未折叠蛋白反应
蛋白质组
绿色荧光蛋白
半胱氨酸
蛋白质聚集
蛋白质折叠
流式细胞术
结合
体外
合理设计
共焦显微镜
生物化学
细胞生物学
纳米技术
生物
材料科学
分子生物学
酶
内质网
数学
量子力学
数学分析
物理
基因
作者
Soheila Sabouri,Mengjie Liu,Shouxiang Zhang,Bicheng Yao,Hamid Soleimaninejad,Amy A. Baxter,Georgina Armendáriz-Vidales,Pramod Subedi,Chong Duan,Xiaoding Lou,Conor F. Hogan,Begoña Heras,Ivan K. H. Poon,Yuning Hong
标识
DOI:10.1002/adhm.202101300
摘要
Impairment of the protein quality control network leads to the accumulation of unfolded and aggregated proteins. Direct detection of unfolded protein accumulation in the cells may provide the possibility for early diagnosis of neurodegenerative diseases. Here a new platform based on a peptide-conjugated thiol-reactive aggregation-induced emission fluorogen (AIEgen), named MI-BTD-P (or D1), for labeling and tracking unfolded proteins in cells is reported. In vitro experiments with model proteins show that the non-fluorescent D1 only becomes highly fluorescent when reacted with the thiol group of free cysteine (Cys) residues on unfolded proteins but not glutathione or folded proteins with buried or surface exposed Cys. When the labeled unfolded proteins form aggregates, D1 fluorescence intensity is further increased, and fluorescence lifetime is prolonged. D1 is then used to measure unfolded protein loads in cells by flow cytometry and track the aggregate formation of the D1 labeled unfolded proteins using confocal microscopy. In combination with fluorescence lifetime imaging technique, the proteome at different folding statuses can be better differentiated, demonstrating the versatility of this new platform. The rational design of D1 demonstrates the outlook of incorporation of diverse functional groups to achieve maximal sensitivity and selectivity in biological samples.
科研通智能强力驱动
Strongly Powered by AbleSci AI