Literature DB >> 25641780

Protamine sulfate precipitation method depletes abundant plant seed-storage proteins: A case study on legume plants.

Yu Ji Kim1, Yiming Wang2, Ravi Gupta1, So Wun Kim1, Chul Woo Min1, Yong Chul Kim1, Ki Hun Park3, Ganesh Kumar Agrawal4,5, Randeep Rakwal4,5,6,7, Myoung-Gun Choung8, Kyu Young Kang3, Sun Tae Kim1.   

Abstract

Depletion of abundant proteins is one of the effective ways to improve detection and identification of low-abundance proteins. Our previous study showed that protamine sulfate precipitation (PSP) method can deplete abundant ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) from leaf proteins and is suitable for their in-depth proteome investigation. In this study, we provide evidence that the PSP method can also be effectively used for depletion of abundant seed-storage proteins (SSPs) from the total seed proteins of diverse legume plants including soybean, broad bean, pea, wild soybean, and peanut. The 0.05% protamine sulfate (PS) was sufficient to deplete major SSPs from all legumes tested except for peanut where 0.1% PS was required. SDS-PAGE, Western blotting and 2DE analyses of PS-treated soybean and peanut seed proteins showed enriched spots in PS-supernatant than total proteins. Coefficient of variation percentage (%CV) and principal component analysis of 2DE spots support the reproducibility, suitability, and efficacy of the PSP method for quantitative and comparative seed proteome analysis. MALDI-TOF-TOF successfully identified some protein spots from soybean and peanut. Hence, this simple, reproducible, economical PSP method has a broader application in depleting plant abundant proteins including SSPs in addition to RuBisCO, allowing discussion for comprehensive proteome establishment and parallel comparative studies in plants.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Legume seeds; Plant proteomics; Protamine sulfate precipitation method; Seed proteome; Seed storage proteins

Mesh:

Substances:

Year:  2015        PMID: 25641780     DOI: 10.1002/pmic.201400488

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  5 in total

1.  Gel-based and gel-free proteome data associated with controlled deterioration treatment of Glycine max seeds.

Authors:  Cheol Woo Min; Seo Hyun Lee; Ye Eun Cheon; Won Young Han; Jong Min Ko; Hang Won Kang; Yong Chul Kim; Ganesh Kumar Agrawal; Randeep Rakwal; Ravi Gupta; Sun Tae Kim
Journal:  Data Brief       Date:  2017-10-02

2.  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

3.  Protein Extraction Methods Shape Much of the Extracted Proteomes.

Authors:  Liangjie Niu; Huayi Yuan; Fangping Gong; Xiaolin Wu; Wei Wang
Journal:  Front Plant Sci       Date:  2018-06-12       Impact factor: 5.753

Review 4.  Bringing New Methods to the Seed Proteomics Platform: Challenges and Perspectives.

Authors:  Galina Smolikova; Daria Gorbach; Elena Lukasheva; Gregory Mavropolo-Stolyarenko; Tatiana Bilova; Alena Soboleva; Alexander Tsarev; Ekaterina Romanovskaya; Ekaterina Podolskaya; Vladimir Zhukov; Igor Tikhonovich; Sergei Medvedev; Wolfgang Hoehenwarter; Andrej Frolov
Journal:  Int J Mol Sci       Date:  2020-12-01       Impact factor: 5.923

5.  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

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.