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一种新型基于图像的细胞术方法,用于检测活细胞中的自噬作用。

A novel image-based cytometry method for autophagy detection in living cells.

机构信息

Department of Technology R&D, Nexcelom Bioscience, LLC, Lawrence, MA, USA.

出版信息

Autophagy. 2012 Sep;8(9):1371-82. doi: 10.4161/auto.21028. Epub 2012 Aug 16.

Abstract

Autophagy is an important cellular catabolic process that plays a variety of important roles, including maintenance of the amino acid pool during starvation, recycling of damaged proteins and organelles, and clearance of intracellular microbes. Currently employed autophagy detection methods include fluorescence microscopy, biochemical measurement, SDS-PAGE and western blotting, but they are time consuming, labor intensive, and require much experience for accurate interpretation. More recently, development of novel fluorescent probes have allowed the investigation of autophagy via standard flow cytometry. However, flow cytometers remain relatively expensive and require a considerable amount of maintenance. Previously, image-based cytometry has been shown to perform automated fluorescence-based cellular analysis comparable to flow cytometry. In this study, we developed a novel method using the Cellometer image-based cytometer in combination with Cyto-ID(®) Green dye for autophagy detection in live cells. The method is compared with flow cytometry by measuring macroautophagy in nutrient-starved Jurkat cells. Results demonstrate similar trends of autophagic response, but different magnitude of fluorescence signal increases, which may arise from different analysis approaches characteristic of the two instrument platforms. The possibility of using this method for drug discovery applications is also demonstrated through the measurement of dose-response kinetics upon induction of autophagy with rapamycin and tamoxifen. The described image-based cytometry/fluorescent dye method should serve as a useful addition to the current arsenal of techniques available in support of autophagy-based drug discovery relating to various pathological disorders.

摘要

自噬是一种重要的细胞分解代谢过程,具有多种重要作用,包括在饥饿时维持氨基酸池、回收受损蛋白质和细胞器,以及清除细胞内微生物。目前使用的自噬检测方法包括荧光显微镜、生化测定、SDS-PAGE 和 Western blot,但这些方法耗时、费力,并且需要丰富的经验才能进行准确解释。最近,新型荧光探针的开发允许通过标准流式细胞术研究自噬。然而,流式细胞仪仍然相对昂贵,并且需要大量的维护。先前已经表明,基于图像的细胞术可以与流式细胞术一样进行自动化荧光细胞分析。在这项研究中,我们使用 Cellometer 基于图像的细胞仪结合 Cyto-ID®Green 染料开发了一种新的方法,用于活细胞中自噬的检测。该方法通过测量营养饥饿的 Jurkat 细胞中的巨自噬来与流式细胞术进行比较。结果表明自噬反应的趋势相似,但荧光信号增加的幅度不同,这可能是由于两种仪器平台的不同分析方法所致。通过测量雷帕霉素和他莫昔芬诱导自噬时的剂量反应动力学,也证明了该方法在药物发现应用中的可能性。该描述的基于图像的细胞术/荧光染料方法应该成为支持与各种病理疾病相关的基于自噬的药物发现的现有技术的有用补充。

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