Title

Authors

Affiliation

¹Department of computer and information sciences, Towson University, Towson, MD 21252, USA; ²USDA-ARS, Soybean Genomics and Improvement Laboratory, Beltsville, MD 20705, USA.

Email

savi.natarajan@ars.usda.gov; *Corresponding author

Article Type

Database

Date

Received January 11, 2013; Accepted January 13, 2012; Published February 06, 2013

Soybean continues to serve as a rich and inexpensive source of protein for humans and animals. A substantial amount of information has been reported on the genotypic variation and beneficial genetic manipulation of soybeans. For better understanding of the consequences of genetic manipulation, elucidation of soybean protein composition is necessary, because of its direct relationship to phenotype. We have conducted studies to determine the composition of storage, allergen and anti-nutritional proteins in cultivated soybean using a combined proteomics approach. Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) was implemented for the separation of proteins along with matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS) and liquid chromatography mass spectrometry (LC-MS/MS) for the identification of proteins. Our analysis resulted in the identification of several proteins, and a web based database named soybean protein database (SoyProDB) was subsequently built to house and allow scientists to search the data. This database will be useful to scientists who wish to genetically alter soybean with higher quality storage proteins, and also helpful for consumers to get a greater understanding about proteins that compose soy products available in the market. The database is freely accessible.

Availability

http://bioinformatics.towson.edu/Soybean_Seed_Proteins_2D_Gel_DB/Home.aspx

Keywords

Soybean, 2D-PAGE, MALDI-TOF-MS, LC-MS/MS, Conglycinin, Glycinin, Allergen proteins.

Citation

Tavakolan et al.  Bioinformation 9(3): 165-167 (2013)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.