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使用高内涵成像分析评估心脏重编程

Assessing Cardiac Reprogramming using High Content Imaging Analysis.

作者信息

Zhang Zhentao, Nam Young-Jae

机构信息

Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center; Department of Cell and Developmental Biology, Vanderbilt University; Vanderbilt Center for Stem Cell Biology, Vanderbilt University.

Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center; Department of Cell and Developmental Biology, Vanderbilt University; Vanderbilt Center for Stem Cell Biology, Vanderbilt University;

出版信息

J Vis Exp. 2020 Oct 26(164). doi: 10.3791/61859.

Abstract

The goal of this protocol is to describe a method for quantifying induced cardiomyocyte-like cells (iCMs), which are directly reprogrammed in vitro by a reprogramming technique. Cardiac reprogramming provides a strategy to generate new cardiomyocytes. By introducing core cardiogenic transcription factors into fibroblasts; fibroblasts can be converted to iCMs without transition through the pluripotent stem cell state. However, the conversion rate of fibroblasts to iCMs still remains low. Accordingly, there have been numerous additional approaches to enhance cardiac reprogramming efficiency. Most of these studies assessed cardiac reprogramming efficiency using flow cytometry, while at the same time performed immunocytochemistry to visualize iCMs. Thus, at least two separate sets of reprogramming experiments are required to demonstrate the success of iCM reprogramming. In contrast, automated high content imaging analysis will provide both quantification and qualification of iCM reprogramming with a relatively small number of cells. With this method, it is possible to directly assess the quantity and quality of iCMs with a single reprogramming experiment. This approach will be able to facilitate future cardiac reprogramming studies that require large-scale reprogramming experiments such as screening genetic or pharmacological factors for enhancing reprogramming efficiency. In addition, the application of high content imaging analysis protocol is not limited to cardiac reprogramming. It can be applied to reprogramming of other cell lineages as well as any immunostaining experiments which need both quantification and visualization of immunostained cells.

摘要

本方案的目的是描述一种对诱导性心肌样细胞(iCMs)进行定量的方法,这些细胞是通过重编程技术在体外直接重编程得到的。心脏重编程提供了一种生成新心肌细胞的策略。通过将核心心脏发生转录因子导入成纤维细胞,成纤维细胞可不经多能干细胞状态而直接转化为iCMs。然而,成纤维细胞向iCMs的转化率仍然很低。因此,已经有许多其他方法来提高心脏重编程效率。这些研究大多使用流式细胞术评估心脏重编程效率,同时进行免疫细胞化学以观察iCMs。因此,至少需要两组独立的重编程实验来证明iCM重编程的成功。相比之下,自动化高内涵成像分析将以相对较少的细胞数量对iCM重编程进行定量和定性分析。使用这种方法,通过一次重编程实验就可以直接评估iCMs的数量和质量。这种方法将有助于未来需要大规模重编程实验的心脏重编程研究,比如筛选提高重编程效率的遗传或药理因素。此外,高内涵成像分析方案的应用并不局限于心脏重编程。它可应用于其他细胞谱系的重编程以及任何需要对免疫染色细胞进行定量和可视化的免疫染色实验。

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