Journal of Bioinformatics, Proteomics and Imaging Analysis
Microbial Proteomics: Approaches, Advances, and Applications
- 1Institutes of Biomedical Sciences, Fudan University, Shanghai, China
- 2Department of Systems Biology for Medicine, Shanghai Medical College, Fudan University, Shanghai, China
- 3State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China
Fuchu He, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China, Tel: 86- 021-54237155; E-mail: email@example.com
Fuchu, He, et al. Microbial Proteomics: Approaches, Advances, and Applications. (2016) Bioinfo Proteom Img Anal 2(1): 85-91.
© 2016 Fuchu, H. This is an Open access article distributed under the terms of Creative Commons Attribution 4.0 International License.
KeywordsCellular physiology / Microbial proteomics / Microbial pathogens / Proteomic technologies
At present, whole genome sequences are reasonably available for many organisms. However, genomics alone is insufficient in providing comprehensive information on the mechanisms underlying the biological processes of an organism. With the development of various proteomic technologies, proteomics has enhanced our understanding of biological processes on a global scale. Enormous efforts have been exerted to deeply inspect microbial systems using proteomic technologies. Inspiring progress and achievements have facilitated our understanding of the cellular physiology of microorganisms in many aspects. In this review, we present different proteomic technologies and advances, and enumerate their significant applications in microbial studies. Taking advantage of multiple proteomic technologies, we first discuss the molecular physiology of microbial systems when facing external environmental stimuli. We also illustrate the pathogenic mechanisms of microbial pathogens and their significance to clinical vaccine selection on a proteomic scale. The integrated analyses of multi-omics appear to be a new method of analyzing biological systems.