类有机物
细胞生物学
电池类型
质量细胞仪
生物
细胞
流式细胞术
单细胞分析
细胞信号
信号转导
分子生物学
生物化学
基因
表型
作者
Xiao Qin,Jahangir Sufi,Petra Vlckova,Pelagia Kyriakidou,Sophie E. Acton,Vivian Li,Mark Nitz,Christopher J. Tape
出处
期刊:Nature Methods
[Springer Nature]
日期:2020-02-17
卷期号:17 (3): 335-342
被引量:81
标识
DOI:10.1038/s41592-020-0737-8
摘要
Despite the widespread adoption of organoids as biomimetic tissue models, methods to comprehensively analyze cell-type-specific post-translational modification (PTM) signaling networks in organoids are absent. Here, we report multivariate single-cell analysis of such networks in organoids and organoid cocultures. Simultaneous analysis by mass cytometry of 28 PTMs in >1 million single cells derived from small intestinal organoids reveals cell-type- and cell-state-specific signaling networks in stem, Paneth, enteroendocrine, tuft and goblet cells, as well as enterocytes. Integrating single-cell PTM analysis with thiol-reactive organoid barcoding in situ (TOBis) enables high-throughput comparison of signaling networks between organoid cultures. Cell-type-specific PTM analysis of colorectal cancer organoid cocultures reveals that shApc, KrasG12D and Trp53R172H cell-autonomously mimic signaling states normally induced by stromal fibroblasts and macrophages. These results demonstrate how standard mass cytometry workflows can be modified to perform high-throughput multivariate cell-type-specific signaling analysis of healthy and cancerous organoids. Mass cytometry in combination with a thiol-reactive barcoding strategy allows analysis and comparison of cell-type-specific signaling networks in organoids.
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