Chen Zhuo, Lu Yao, Zhang Kerou, Xiao Yang, Lu Jun, Fan Rong
Department of Biomedical Engineering Yale University New Haven CT 06520 USA.
Department of Biotechnology Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian Liaoning 116023 China.
Adv Sci (Weinh). 2019 Mar 13;6(9):1801361. doi: 10.1002/advs.201801361. eCollection 2019 May 3.
The effector response of immune cells dictated by an array of secreted proteins is a highly dynamic process, requiring sequential measurement of all relevant proteins from single cells. Herein, a microchip-based, 10-plexed, sequential secretion assay on the same single cells and at the scale of ≈5000 single cells measured simultaneously over 4 time points are shown. It is applied to investigating the time course of single human macrophage response to toll-like receptor 4 (TLR4) ligand lipopolysaccharide (LPS) and reveals four distinct activation modes for different proteins in single cells. Protein secretion dynamics classifies the cells into two major activation states dependent on the basal state of each cell. Single-cell RNA sequencing performed on the same samples at the matched time points further demonstrates the existence of two major activation states at the transcriptional level, which are enriched for translation versus inflammatory programs, respectively. These results show a cell-intrinsic heterogeneous response in a phenotypically homogeneous cell population. This work demonstrates the longitudinal tracking of protein secretion signature in thousands of single cells at multiple time points, providing dynamic information to better understand how individual immune cells react to pathogenic challenges over time and how they together constitute a population response.
由一系列分泌蛋白决定的免疫细胞效应反应是一个高度动态的过程,需要对单个细胞中的所有相关蛋白进行连续测量。在此展示了一种基于微芯片的、10重的、在同一单个细胞上进行的连续分泌检测方法,该方法可在4个时间点同时对约5000个单个细胞进行检测。它被应用于研究单个人类巨噬细胞对Toll样受体4(TLR4)配体脂多糖(LPS)反应的时间进程,并揭示了单个细胞中不同蛋白的四种不同激活模式。蛋白分泌动力学根据每个细胞的基础状态将细胞分为两种主要激活状态。在匹配的时间点对相同样本进行的单细胞RNA测序进一步证明了在转录水平上存在两种主要激活状态,分别富集了翻译相关程序和炎症相关程序。这些结果表明在表型上同质的细胞群体中存在细胞内在的异质性反应。这项工作展示了在多个时间点对数千个单个细胞的蛋白分泌特征进行纵向追踪,提供了动态信息,以更好地理解单个免疫细胞如何随时间对病原体挑战做出反应以及它们如何共同构成群体反应。