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用于分析病灶的计算方法:对人类细胞中辐射诱导的γ-H2AX病灶的验证

Computational Methods for analysis of foci: validation for radiation-induced gamma-H2AX foci in human cells.

作者信息

Böcker Wilfried, Iliakis George

机构信息

Institute of Medical Radiation Biology, University Duisburg-Essen Medical School, Essen, Germany.

出版信息

Radiat Res. 2006 Jan;165(1):113-24. doi: 10.1667/rr3486.1.

Abstract

Observation and counting of gamma-H2AX foci in untreated cells as well as in cells exposed to cytotoxic agents is a widely used method for documenting the presence of double-strand breaks (DSBs) in the DNA and for analysis of their repair. Similar methods are employed to analyze formation of foci by a variety of proteins implicated in the cellular responses to DNA damage. Despite the wide application of the approach, the manual counting that is frequently used is prone to inaccuracies and investigator-related biases and artifacts. To alleviate this limitation, we developed and describe here personal computer-based algorithms, operating as utilities on available software, that allow an objective and quantitative analysis of foci from confocal images. The algorithms allow focus counting as well as size definition and correct for focus coincidence due to the overlap normally occurring with an increasing number of foci per nucleus. Furthermore, the software allows measurement of the integrated optical density (IOD) of each individual focus, which enables analysis of properties of foci as a function of time. Finally, the information generated by the above analysis algorithms can be employed to evaluate colocalization between foci formed by different proteins. A validation of the software is presented for radiation-induced gamma-H2AX foci in three widely used human cell lines and colocalization tested with RAD51 and gamma-H2AX foci. The computational methods presented extend to images generated by digital cameras.

摘要

观察和计数未处理细胞以及暴露于细胞毒性剂的细胞中的γ-H2AX焦点,是一种广泛用于记录DNA中双链断裂(DSB)的存在及其修复分析的方法。类似的方法也用于分析参与细胞对DNA损伤反应的多种蛋白质形成焦点的情况。尽管该方法应用广泛,但经常使用的手动计数容易出现不准确以及与研究者相关的偏差和假象。为了缓解这一局限性,我们开发并在此描述了基于个人计算机的算法,这些算法作为可用软件上的实用工具运行,可对共聚焦图像中的焦点进行客观定量分析。这些算法可以进行焦点计数、定义大小,并校正由于每个细胞核中焦点数量增加通常会出现的重叠而导致的焦点重合。此外,该软件还可以测量每个单独焦点的积分光密度(IOD),从而能够分析焦点性质随时间的变化。最后,上述分析算法生成的信息可用于评估由不同蛋白质形成的焦点之间的共定位。本文展示了该软件在三种广泛使用的人类细胞系中对辐射诱导的γ-H2AX焦点的验证,并测试了RAD51与γ-H2AX焦点的共定位。所提出的计算方法适用于数码相机生成的图像。

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