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Two-dimensional electrophoresis analysis of proteomics based on image feature and mathematical morphology
作者姓名:SHEN Peng  FAN Xiaohui  ZENG Zhen & CHENG Yiyu .The First Affiliated Hospital  College of Medicine  Zhejiang University  Hangzhou  China  .Pharmaceutical Informatics Institute  Zhejiang University  Hangzhou  China
作者单位:SHEN Peng1,FAN Xiaohui2,ZENG Zhen2 & CHENG Yiyu2 1.The First Affiliated Hospital,College of Medicine,Zhejiang University,Hangzhou 310003,China;2.Pharmaceutical Informatics Institute,Zhejiang University,Hangzhou 310027,China
基金项目:中国科学院资助项目,浙江省科技厅资助项目
摘    要:Protein analysis techniques, including 2-D electro- phoresis, image analysis, biological mass spectrometry, database search, etc., are fundamental technologies of proteomics, a front area in biochemistry and life sci- ences1―3]. Among them image analysi…


Two-dimensional electrophoresis analysis of proteomics based on image feature and mathematical morphology
SHEN Peng,FAN Xiaohui,ZENG Zhen & CHENG Yiyu .The First Affiliated Hospital,College of Medicine,Zhejiang University,Hangzhou ,China,.Pharmaceutical Informatics Institute,Zhejiang University,Hangzhou ,China.Two-dimensional electrophoresis analysis of proteomics based on image feature and mathematical morphology[J].Science in China(Chemistry),2005,48(4):361-367.
Authors:SHEN Peng  FAN Xiaohui  ZENG Zhen  CHENG Yiyu
Institution:1. The First Affiliated Hospital,College of Medicine,Zhejiang University,Hangzhou 310003,China
2. Pharmaceutical Informatics Institute,Zhejiang University,Hangzhou 310027,China
Abstract:In this paper,a novel method to automatically detect protein spots on a two-dimensional (2-D) electrophoresis gel image is proposed to implement proteomics analysis of complex analyte.On the basis of the identifying spots results based on color variation and spot size features,morphological feature is introduced as a new criterion to distinguish protein spots from non-protein spots.Image-sharpening,edge-detecting and morphological feature extraction methods were consequently combined to detect protein spots on a 2-D electrophoresis gel image subject to strong disturbance.The proposed method was applied to detect the protein spots of proteomic gel images from E.coli cell,human kidney tissue and human serum.The results demonstrated that this method is more accurate and reliable than previous methods such as PDQuest 7.2 and ImageMaster 5.0 software for detecting protein spots on gel images with strong interferences.
Keywords:proteomics  2-dimensional electrophoresis  protein spot recognition  analytical chemistry for life  morphological feature  image recognition  
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