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Soybean seed proteomics: Methods for the isolation, detection, and identification of low abundance proteins.
Kim, Wonseok; Nott, Joel; Kim, Sunhyung; Krishnan, Hari B.
Afiliación
  • Kim W; Division of Plant Science and Technology, University of Missouri, Columbia, MO, United States.
  • Nott J; The Protein Facility of the Iowa State University Office of Biotechnology, Ames, IA, United States.
  • Kim S; Division of Plant Science and Technology, University of Missouri, Columbia, MO, United States.
  • Krishnan HB; Division of Plant Science and Technology, University of Missouri, Columbia, MO, United States; Plant Genetics Research Unit, USDA, Agricultural Research Service, Columbia, MO, United States. Electronic address: hari.b.krishnan@usda.gov.
Methods Enzymol ; 676: 325-345, 2022.
Article en En | MEDLINE | ID: mdl-36280356
ABSTRACT
The salt-soluble globulins, glycinins (11S globulin), and ß-conglycinins (7S globulin), are the most abundant seed proteins of soybean seeds. Together, these two groups of proteins account for 60-70% of total soybean seed proteins. Proteomic assessment of the less abundant soybean seed proteins using general isolation protocols is challenging due to the overwhelming abundance of storage proteins. Development of a simple, fast, and inexpensive method to remove most storage proteins from a seed extract will significantly enhance the study of the nonabundant proteins within seeds. We have developed two simple methods for the depletion of abundant seed proteins resulting in the enrichment of low abundance proteins from soybean seeds. Here, we provide a detailed procedure for the isolation, separation, identification, and quantification of low abundance seed proteins of soybean.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Glycine max / Globulinas Tipo de estudio: Diagnostic_studies Idioma: En Revista: Methods Enzymol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Glycine max / Globulinas Tipo de estudio: Diagnostic_studies Idioma: En Revista: Methods Enzymol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos