Literature DB >> 19651100

An efficient extraction method to enhance analysis of low abundant proteins from soybean seed.

Savithiry S Natarajan1, Hari B Krishnan, Sukla Lakshman, Wesley M Garrett.   

Abstract

Large amounts of the major storage proteins, beta-conglycinin and glycinin, in soybean (Glycine max) seeds hinder the isolation and characterization of less abundant seed proteins. We investigated whether isopropanol extraction could facilitate resolution of the low abundant proteins, different from the main storage protein fractions, in one-dimensional polyacrylamide gel electrophoresis (1D-PAGE) and two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). 1D-PAGE of proteins extracted by different concentrations (10%, 20%, 30%, 40%, 50%, 60%, 70% and 80%) of isopropanol showed that greater than 30% isopropanol was suitable for preferential enrichment of low abundant proteins. Analysis of 2D-PAGE showed that proteins which were less abundant or absent by the conventional extraction procedure were clearly seen in the 40% isopropanol extracts. Increasing isopropanol concentration above 40% resulted in a decrease in the number of less abundant protein spots. We have identified a total of 107 protein spots using matrix-assisted laser desorption/ionization time of flight mass spectrophotometry (MALDI-TOF-MS) and liquid chromatography-mass spectrometry (LC-MS/MS). Our results suggest that extraction of soybean seed powder with 40% isopropanol enriches lower abundance proteins and is a suitable method for 2D-PAGE separation and identification. This methodology could potentially allow the extraction and characterization of low abundant proteins of other legume seeds containing highly abundant storage proteins.

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Year:  2009        PMID: 19651100     DOI: 10.1016/j.ab.2009.07.048

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  11 in total

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Journal:  Plant Physiol       Date:  2009-08-12       Impact factor: 8.340

2.  Protein and metabolite composition of xylem sap from field-grown soybeans (Glycine max).

Authors:  Hari B Krishnan; Savithiry S Natarajan; John O Bennett; Richard C Sicher
Journal:  Planta       Date:  2011-01-19       Impact factor: 4.116

3.  Assessment and Refinement of Sample Preparation Methods for Deep and Quantitative Plant Proteome Profiling.

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Journal:  Proteomics       Date:  2018-08-27       Impact factor: 3.984

4.  Optimization of low-abundance protein extraction and abundant protein removal from defatted soybean meal.

Authors:  Ming-Mei Liu; Bin Qi; Zheng-Xu Liu; Jin-Shun Zhan; Kang Zhan; Guo-Qi Zhao
Journal:  J Zhejiang Univ Sci B       Date:  2017 Oct.       Impact factor: 3.066

5.  Separomics applied to the proteomics and peptidomics of low-abundance proteins: Choice of methods and challenges - A review.

Authors:  Maria Cristina Baracat-Pereira; Meire de Oliveira Barbosa; Marcos Jorge Magalhães; Lanna Clicia Carrijo; Patrícia Dias Games; Hebréia Oliveira Almeida; José Fabiano Sena Netto; Matheus Rodrigues Pereira; Everaldo Gonçalves de Barros
Journal:  Genet Mol Biol       Date:  2012-06       Impact factor: 1.771

6.  SoyProLow: A protein database enriched in low abundant soybean proteins.

Authors:  Mona Tavakolan; Nadim W Alkharouf; Benjamin F Matthews; Savithiry S Natarajan
Journal:  Bioinformation       Date:  2014-09-30

7.  In-Depth Investigation of Low-Abundance Proteins in Matured and Filling Stages Seeds of Glycine max Employing a Combination of Protamine Sulfate Precipitation and TMT-Based Quantitative Proteomic Analysis.

Authors:  Cheol Woo Min; Joonho Park; Jin Woo Bae; Ganesh Kumar Agrawal; Randeep Rakwal; Youngsoo Kim; Pingfang Yang; Sun Tae Kim; Ravi Gupta
Journal:  Cells       Date:  2020-06-22       Impact factor: 6.600

8.  Study on Effect of Extraction Techniques and Seed Coat on Proteomic Distribution and Cheese Production from Soybean Milk.

Authors:  Nadia Al-Saedi; Manjree Agarwal; Wujun Ma; Shahidul Islam; Yonglin Ren
Journal:  Molecules       Date:  2020-07-16       Impact factor: 4.411

9.  SoyProDB: A database for the identification of soybean seed proteins.

Authors:  Mona Tavakolan; Nadim W Alkharouf; Farooq H Khan; Savithiry Natarajan
Journal:  Bioinformation       Date:  2013-02-06

10.  Expect the Unexpected Enrichment of "Hidden Proteome" of Seeds and Tubers by Depletion of Storage Proteins.

Authors:  Ravi Gupta; Cheol W Min; Yiming Wang; Yong C Kim; Ganesh K Agrawal; Randeep Rakwal; Sun T Kim
Journal:  Front Plant Sci       Date:  2016-06-01       Impact factor: 5.753

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