Automated, systematic determination of protein subcellular location using fluorescence microscopy.
Automated, systematic determination of protein subcellular location using fluorescence microscopy.
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使用荧光显微镜自动、系统地测定蛋白质亚细胞位置。
DOI：
10.1007/978-1-4020-5943-8_12
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发表时间：
2007
影响因子：
--
通讯作者：
Murphy,RobertF
中科院分区：
文献类型：
--
作者：
GarcíaOsuna,Elvira;Murphy,RobertF
蛋白质组学是对蛋白质行为各个方面的综合研究。定位蛋白质组学的子领域是系统分析蛋白质的亚细胞定位。为了对所有蛋白质定位模式进行高分辨率、高通量分析，采集和分析都需要自动化。已经开发出用于分析荧光显微镜图像中的亚细胞位置模式的自动化方法，并且显示出对于单细胞的静态2D和3D图像工作良好。本章回顾了这项工作，并介绍了目前的努力，扩展这些方法，包括时间模式的分类和生成模型的建设，以代表位置模式。
Proteomics is the comprehensive study of all aspects of protein behavior. The subfield of location proteomics is concerned with the systematic analysis of the subcellular location of proteins. In order to perform high-resolution, high-throughput analysis of all protein location patterns, automation is needed both for acquisition and analysis. Automated methods for analyzing subcellular location patterns in fluorescence microscope images have been developed and shown to work well for static 2D and 3D images of single cells. This chapter reviews this work and describes current efforts to extend these approaches, including classification of temporal patterns and building of generative models to represent location patterns.