Integration of gel-based and gel-free proteomic data for functional analysis of proteins through Soybean Proteome Database
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Computational Bioscience Research Center (CBRC)
Online Publication Date2017-05-10
Print Publication Date2017-06
Permanent link to this recordhttp://hdl.handle.net/10754/623638
MetadataShow full item record
AbstractThe Soybean Proteome Database (SPD) stores data on soybean proteins obtained with gel-based and gel-free proteomic techniques. The database was constructed to provide information on proteins for functional analyses. The majority of the data is focused on soybean (Glycine max ‘Enrei’). The growth and yield of soybean are strongly affected by environmental stresses such as flooding. The database was originally constructed using data on soybean proteins separated by two-dimensional polyacrylamide gel electrophoresis, which is a gel-based proteomic technique. Since 2015, the database has been expanded to incorporate data obtained by label-free mass spectrometry-based quantitative proteomics, which is a gel-free proteomic technique. Here, the portions of the database consisting of gel-free proteomic data are described. The gel-free proteomic database contains 39,212 proteins identified in 63 sample sets, such as temporal and organ-specific samples of soybean plants grown under flooding stress or non-stressed conditions. In addition, data on organellar proteins identified in mitochondria, nuclei, and endoplasmic reticulum are stored. Furthermore, the database integrates multiple omics data such as genomics, transcriptomics, metabolomics, and proteomics. The SPD database is accessible at http://proteome.dc.affrc.go.jp/Soybean/. Biological significanceThe Soybean Proteome Database stores data obtained from both gel-based and gel-free proteomic techniques. The gel-free proteomic database comprises 39,212 proteins identified in 63 sample sets, such as different organs of soybean plants grown under flooding stress or non-stressed conditions in a time-dependent manner. In addition, organellar proteins identified in mitochondria, nuclei, and endoplasmic reticulum are stored in the gel-free proteomics database. A total of 44,704 proteins, including 5490 proteins identified using a gel-based proteomic technique, are stored in the SPD. It accounts for approximately 80% of all predicted proteins from genome sequences, though there are over lapped proteins. Based on the demonstrated application of data stored in the database for functional analyses, it is suggested that these data will be useful for analyses of biological mechanisms in soybean. Furthermore, coupled with recent advances in information and communication technology, the usefulness of this database would increase in the analyses of biological mechanisms.
CitationKomatsu S, Wang X, Yin X, Nanjo Y, Ohyanagi H, et al. (2017) Integration of gel-based and gel-free proteomic data for functional analysis of proteins through Soybean Proteome Database. Journal of Proteomics. Available: http://dx.doi.org/10.1016/j.jprot.2017.05.009.
SponsorsWe thank Mr. Shunsuke Fujieda of the Maebashi Institute of Technology, Japan for construction of the database. The authors also thank Dr. Kazuhiko Sugimoto of the Institute of Crop Science, NARO, Japan for support of the database. This work was supported by JSPS KAKENHI Grant Number JP15H04445. The Soybean Proteome Database (SPD) has been constructed using the “Virtual Lab System” in the Tsukuba Business-Academia Cooperation Support Center, Japan.
JournalJournal of Proteomics
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