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Scalable Purification and Characterization of the Anticancer Lunasin Peptide from Soybean

Overview of attention for article published in PLOS ONE, April 2012
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Title
Scalable Purification and Characterization of the Anticancer Lunasin Peptide from Soybean
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035409
Pubmed ID
Authors

Lauren E. Seber, Brian W. Barnett, Elizabeth J. McConnell, Steven D. Hume, Jian Cai, Kati Boles, Keith R. Davis

Abstract

Lunasin is a peptide derived from the soybean 2S albumin seed protein that has both anticancer and anti-inflammatory activities. Large-scale animal studies and human clinical trials to determine the efficacy of lunasin in vivo have been hampered by the cost of synthetic lunasin and the lack of a method for obtaining gram quantities of highly purified lunasin from plant sources. The goal of this study was to develop a large-scale method to generate highly purified lunasin from defatted soy flour. A scalable method was developed that utilizes the sequential application of anion-exchange chromatography, ultrafiltration, and reversed-phase chromatography. This method generates lunasin preparations of >99% purity with a yield of 442 mg/kg defatted soy flour. Mass spectrometry of the purified lunasin revealed that the peptide is 44 amino acids in length and represents the original published sequence of lunasin with an additional C-terminal asparagine residue. Histone-binding assays demonstrated that the biological activity of the purified lunasin was similar to that of synthetic lunasin. This study provides a robust method for purifying commercial-scale quantities of biologically-active lunasin and clearly identifies the predominant form of lunasin in soy flour. This method will greatly facilitate the development of lunasin as a potential nutraceutical or therapeutic anticancer agent.

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Geographical breakdown

Country Count As %
United States 1 1%
Czechia 1 1%
Brazil 1 1%
Unknown 77 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 16%
Researcher 12 15%
Student > Ph. D. Student 11 14%
Student > Master 11 14%
Student > Doctoral Student 4 5%
Other 13 16%
Unknown 16 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 33%
Biochemistry, Genetics and Molecular Biology 16 20%
Medicine and Dentistry 6 8%
Engineering 5 6%
Nursing and Health Professions 2 3%
Other 8 10%
Unknown 17 21%