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幼稚型、形成型和启动型多能干细胞中多能细胞蛋白标志物的流式细胞术表征

Flow Cytometric Characterization of Pluripotent Cell Protein Markers in Naïve, Formative, and Primed Pluripotent Stem Cells.

作者信息

Dierolf Joshua G, Chadwick Kristin, Brooks Courtney R, Watson Andrew J, Betts Dean H

机构信息

Department of Physiology and Pharmacology, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, ON, Canada.

Robarts Research Institute, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, ON, Canada.

出版信息

Methods Mol Biol. 2022;2490:81-92. doi: 10.1007/978-1-0716-2281-0_8.

Abstract

Here we describe methodologies to characterize, delineate, and quantify pluripotent cells between naïve, formative, and primed pluripotent state mouse embryonic stem cell (mESCs) populations using flow cytometric analysis. This methodology can validate pluripotent states, sort individual cells of interest, and determine the efficiency of transitioning naïve mESCs to a primed-like state as mouse epiblast-like cells (mEpiLCs) and onto fully primed mouse epiblast stem cells (mEpiSCs). Quantification of the cell surface markers; SSEA1(CD15) and CD24 introduces an effective method of distinguishing individual cells from a population by their respective positioning in the pluripotent spectrum. Additionally, this protocol can be used to demarcate and sort cells via fluorescently activated cell sorting for downstream applications. Flow cytometric analysis within mESCs, mEpiLCs, and mEpiSCs can be efficiently completed using these optimized protocols.

摘要

在这里,我们描述了使用流式细胞术分析来表征、描绘和量化处于原始、形成性和启动多能状态的小鼠胚胎干细胞(mESCs)群体之间的多能细胞的方法。这种方法可以验证多能状态,分选感兴趣的单个细胞,并确定将原始mESCs转变为类似启动状态的小鼠上胚层样细胞(mEpiLCs)以及进一步转变为完全启动的小鼠上胚层干细胞(mEpiSCs)的效率。对细胞表面标志物SSEA1(CD15)和CD24的定量分析引入了一种有效的方法,可根据单个细胞在多能谱中的各自位置将其与群体中的其他细胞区分开来。此外,该方案可用于通过荧光激活细胞分选来划分和分选细胞,以用于下游应用。使用这些优化方案,可以高效地完成对mESCs、mEpiLCs和mEpiSCs的流式细胞术分析。

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