Submitted to: Journal of Data Mining in Genomics & Proteomics
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 9/11/2015
Publication Date: 9/18/2014
Citation: Natarajan, S.S. 2014. Analysis of soybean seed proteins using proteomics. Journal of Data Mining in Genomics & Proteomics. 5(3):161-169..
Interpretive Summary: Genetically modified (GM) soybean is widely grown in the U.S. and abroad and it is likely that soybean cultivars with a variety of modifications to enhance quality and crop yield will be developed in the future. Therefore, it is important to determine if any unintended changes occur in the soybean seed as a result of this genetic modification. Therefore, we have standardized and applied “proteomics” technology to characterize the spectrum of proteins present in soybean seed. This information will be useful to scientists who wish to compare normal versus GM soybean.
Technical Abstract: This editorial elaborates on investigations consisting of different proteomics technologies and their application to biological sciences. In addition, different classes of soybean seed proteins are discussed. This information will be useful to scientists in obtaining a greater understanding of the application of “proteomics” technology in the characterization of soybean seed proteins.