Identification of Proteome Molecules by Proteomics Using Two-Dimensional Gel Electrophoresis and MALDI-TOF MS.
- Author:
Eun Joo SONG
1
;
Kong Joo LEE
Author Information
1. College of Pharmacy and Divison of Molecular Life Sciences, Ewha Womans University, Korea.
- Publication Type:Review
- MeSH:
Base Sequence;
Biological Phenomena;
Biotechnology;
Complement System Proteins;
Electrophoresis;
Electrophoresis, Gel, Two-Dimensional*;
Genome;
Peptides;
Protein Processing, Post-Translational;
Proteome*;
Proteomics*;
Transcriptome
- From:Korean Journal of Infectious Diseases
2001;33(6):470-476
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
Genomic technologies have enabled rapid accumulation of information from complex biological systems over the last two decades. The complete DNA sequence is now known for many organism and the informational database obtained from genome sequencing projects has provide the base for the specification of proteome-the protein complement of genome. Genomic functions can be inferred from the analysis of gene structure and gene expression profiles because proteins are the functional molecules of an organism. Integrated technologies including protein separation, identification, characterization and information manage system are essential to analyze the proteins in complex cellular matrix. This study is focusing on the strategies of proteome analysis using sample preparation, 2-dimensional gel electrophoresis, processing of protein spots and identification of proteins, protein-protein interaction and posttranslational modification using MALDI-TOF-MS. 2-Dimensional gel electrophoresis is currently the most powerful protein separation technique and MALDI-TOF MS is powerful identification technique for protein and peptides as a sensitive, rapid, and high resolution analytical method. The developed integrated proteome technologies are very useful to understand the biological phenomena at molecular level by identifying the new molecules and their modifications in various cellular processes, and can be applied for biotechnology including medical science.
