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一种高通量功能成像方法,用于异质细胞制剂中的单个细胞。

A method for high-throughput functional imaging of single cells within heterogeneous cell preparations.

机构信息

UW Diabetes Institute, Department of Medicine, University of Washington, Seattle, WA, 98195, USA.

Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA.

出版信息

Sci Rep. 2016 Dec 16;6:39319. doi: 10.1038/srep39319.

Abstract

Functional characterization of individual cells within heterogeneous tissue preparations is challenging. Here, we report the development of a versatile imaging method that assesses single cell responses of various endpoints in real time, while identifying the individual cell types. Endpoints that can be measured include (but are not limited to) ionic flux (calcium, sodium, potassium and hydrogen), metabolic responsiveness (NAD(P)H, mitochondrial membrane potential), and signal transduction (HO and cAMP). Subsequent to fluorescent imaging, identification of cell types using immunohistochemistry allows for mapping of cell type to their respective functional real time responses. To validate the utility of this method, NAD(P)H responses to glucose of islet alpha versus beta cells generated from dispersed pancreatic islets, followed by the construction of frequency distributions characterizing the variability in the magnitude of each individual cell responses were compared. As expected, no overlap between the glucose response frequency distributions for beta cells versus alpha cells was observed, thereby establishing both the high degree of fidelity and low rate of both false-negatives and false-positives in this approach. This novel method has the ability not only to resolve single cell level functional differences between cell types, but also to characterize functional heterogeneity within a given cell type.

摘要

在异质组织制剂中对单个细胞进行功能表征具有挑战性。在这里,我们报告了一种通用成像方法的开发,该方法可实时评估各种终点的单细胞反应,同时识别单个细胞类型。可测量的终点包括(但不限于)离子通量(钙、钠、钾和氢)、代谢反应性(NAD(P)H、线粒体膜电位)和信号转导(HO 和 cAMP)。荧光成像后,使用免疫组织化学鉴定细胞类型,可将细胞类型与其各自的实时功能反应相关联。为了验证该方法的实用性,我们比较了从分散的胰岛中生成的胰岛 alpha 与 beta 细胞对葡萄糖的 NAD(P)H 反应,然后构建了特征化每个单个细胞反应幅度变异性的频率分布。正如预期的那样,beta 细胞与 alpha 细胞的葡萄糖反应频率分布之间没有重叠,从而在该方法中建立了高保真度和低假阴性和假阳性率。这种新方法不仅能够分辨细胞类型之间的单细胞水平功能差异,还能够描述给定细胞类型内的功能异质性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f787/5159830/617ad34d1594/srep39319-f1.jpg

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