Coupling live-cell imaging and in situ isolation of the same single cell to profile the transient states of predicted drug-tolerant cells

结合活细胞成像和原位分离单个细胞技术,分析预测的耐药细胞的瞬态特征

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作者:Benjamin Bian ,Agnès Paquet ,Marie-Jeanne Arguel ,Mickael Meyer ,Ludovic Peyre ,Asma Chalabi ,Marielle Péré ,Kevin Lebrigand ,Rainer Waldmann ,Pascal Barbry ,Paul Hofman ,Jérémie Roux

Abstract

Cell response variability is a starting point in cancer drug resistance that has been difficult to analyze because the tolerant cell states are short lived. Here, we present fate-seq, an approach to isolate single cells in their transient states of drug sensitivity or tolerance before profiling. The drug response is predicted in live cells, which are laser-captured by microdissection before any drug-induced change can alter their states. This framework enables the identification of the cell-state signatures causing differential cell decisions upon treatment. For complete details on the use and execution of this protocol, please refer to Meyer et al. (2020). Keywords: Cell isolation; Cell-based Assays; Microscopy; Single Cell; Systems biology.

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