Chapter

Systems Biology in Cancer Research and Drug Discovery

pp 113-134

Date:

Protein Microarray: An Ideal Platform for Systems Biology

  • Zong-Xiu WangAffiliated withShanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong UniversityState Key Laboratory of Oncogenes and Related Genes, Shanghai Jiao Tong UniversityNational Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University
  • , Rui-Ping DengAffiliated withShanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong UniversityState Key Laboratory of Oncogenes and Related Genes, Shanghai Jiao Tong University
  • , Shu-Juan GuoAffiliated withShanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong UniversityState Key Laboratory of Oncogenes and Related Genes, Shanghai Jiao Tong University
  • , Ji-Bin ZhangAffiliated withNational Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University
  • , Sheng-Ce TaoAffiliated withShanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong UniversityState Key Laboratory of Oncogenes and Related Genes, Shanghai Jiao Tong University Email author 

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Abstract

Systems biology intends to understand the biological systems as a whole, it may hold the key for eventually cure of some of the most challenging complex diseases, such as cancer, diabetes, obesity, mental disorders and etc. The major driving forces of systems biology are high-throughput “-omics” technologies, i.e., genomics, transcriptomics, proteomics and metabolomics and etc. Featured as high-throughput, miniaturized and capable of parallel analyses, protein microarray has already become a powerful tool for systems biology. In this chapter, we will focus on the application of protein microarrays for global analysis of biological systems and clinical samples, especially cancer related studies. We will discuss the four major types of protein microarray, i.e., proteome microarray, antibody microarray, reverse phase protein array (RPA) and lectin microarrays. We will also discuss the challenges that we are facing and the future trends of protein microarray technology and its applications for systems biology. We strongly believe that protein microarrays will become a standard technology in both basic research and clinical study.

Keywords

Systems biology Proteome microarray Antibody microarray Reverse phase protein array (RPA) Cancer