Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200230, China.
State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai 200230, China.
Anal Chem. 2023 Aug 1;95(30):11399-11409. doi: 10.1021/acs.analchem.3c01577. Epub 2023 Jul 17.
Single-cell western blotting (scWB) is a prevalent technique for high-resolution protein analysis on low-abundance cell samples. However, the extensive signal loss during repeated antibody stripping precludes multiplex protein detection. Herein, we introduce luorescent-quenching ptamer-based ingle-cell estern lotting (FAS-WB) for multiplex protein detection at single-cell resolution. The minimal size of aptamer probes allows rapid in-gel penetration, diffusion, and elution. Meanwhile, the fluorophore-tagged aptamers, coordinated with complementary quenching strands, avoid the massive signal loss conventionally caused by antibody stripping during repeated staining. Such a strategy also facilitates multiplex protein analysis with a limited number of fluorescent tags. We demonstrated FAS-WB for co-imaging four biomarker proteins (EpCAM, PTK7, HER2, CA125) at single-cell resolution with lower signal loss and enhanced signal-to-noise ratio compared to conventional antibody-based scWB. Being more time-saving (less than 25 min per cycle) and economical (1/1000 cost of conventional antibody probes), FAS-WB offers a highly efficient platform for profiling multiplex proteins at single-cell resolution.
单细胞 Western 印迹(scWB)是一种用于分析低丰度细胞样本中高分辨率蛋白质的流行技术。然而,在重复抗体剥离过程中会广泛丢失信号,从而无法进行多重蛋白质检测。在此,我们介绍了基于荧光猝灭适体的单细胞 Western 印迹(FAS-WB),用于在单细胞分辨率下进行多重蛋白质检测。适体探针的最小尺寸允许其快速在凝胶中渗透、扩散和洗脱。同时,荧光标记的适体与互补的猝灭链结合,避免了传统抗体剥离过程中在重复染色过程中通常会导致的大量信号丢失。这种策略还可以通过有限数量的荧光标记物来促进多重蛋白质分析。我们证明了 FAS-WB 可在单细胞分辨率下对四种生物标志物蛋白(EpCAM、PTK7、HER2、CA125)进行共成像,与传统基于抗体的 scWB 相比,其信号丢失更少,信噪比更高。与传统抗体探针相比,FAS-WB 更省时(每个循环少于 25 分钟)、更经济(成本仅为传统抗体探针的 1/1000),为在单细胞分辨率下进行多重蛋白质分析提供了一个高效的平台。