Literature DB >> 20123049

Image analysis of two-dimensional gel electrophoresis for comparative proteomics of transgenic and non-transgenic soybean seeds.

A R Brandão1, H S Barbosa, M A Z Arruda.   

Abstract

Considering the importance of bidimensional electrophoresis and image analysis in comparative proteomics, the parameters that influence the analysis of protein expression of transgenic and non-transgenic soybean seeds were evaluated. The loaded mass of the proteins (150-500 microg), the pH separation range (3-10 or 4-7), and manual/automatic image editing were evaluated. Additionally, after optimizing the conditions, histograms and matchings were obtained in order to accurately analyze the variations (90%) in protein expression. From this, 10 proteins displayed significant differences in expression, and eight of them were characterized and identified by mass spectrometry. Copyright 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20123049     DOI: 10.1016/j.jprot.2010.01.009

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  18 in total

1.  Proteomic analysis of MON810 and comparable non-GM maize varieties grown in agricultural fields.

Authors:  Anna Coll; Anna Nadal; Michel Rossignol; Pere Puigdomènech; Maria Pla
Journal:  Transgenic Res       Date:  2010-10-23       Impact factor: 2.788

2.  Volatile Organic Compounds Induced by Herbivory of the Soybean Looper Chrysodeixis includens in Transgenic Glyphosate-Resistant Soybean and the Behavioral Effect on the Parasitoid, Meteorus rubens.

Authors:  Priscila Strapasson; Delia M Pinto-Zevallos; Sandra M Da Silva Gomes; Paulo H G Zarbin
Journal:  J Chem Ecol       Date:  2016-08-31       Impact factor: 2.626

3.  High light exposure on seed coat increases lipid accumulation in seeds of castor bean (Ricinus communis L.), a nongreen oilseed crop.

Authors:  Yang Zhang; Sujatha Mulpuri; Aizhong Liu
Journal:  Photosynth Res       Date:  2015-11-20       Impact factor: 3.573

4.  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

5.  Proteomics analysis reveals that foreign cp4-epsps gene regulates the levels of shikimate and branched pathways in genetically modified soybean line H06-698.

Authors:  Longguo Jin; Daoping Wang; Yongying Mu; Yong Guo; Yangjie Lin; Lijuan Qiu; Yinghong Pan
Journal:  GM Crops Food       Date:  2021-01-02       Impact factor: 3.118

6.  Comparative proteomics of Bt-transgenic and non-transgenic cotton leaves.

Authors:  Limin Wang; Xuchu Wang; Xiang Jin; Ruizong Jia; Qixing Huang; Yanhua Tan; Anping Guo
Journal:  Proteome Sci       Date:  2015-05-02       Impact factor: 2.480

7.  Morpho-Physiological and Proteomic Response of Bt-Cotton and Non-Bt Cotton to Drought Stress.

Authors:  Swetha Sudha Nagamalla; Malini Devi Alaparthi; Sunitha Mellacheruvu; Ravindar Gundeti; Jana Priya Sony Earrawandla; Someswar Rao Sagurthi
Journal:  Front Plant Sci       Date:  2021-05-10       Impact factor: 5.753

8.  NanoUPLC-MSE proteomic data assessment of soybean seeds using the Uniprot database.

Authors:  Andre M Murad; Elibio L Rech
Journal:  BMC Biotechnol       Date:  2012-11-05       Impact factor: 2.563

9.  Proteomic evaluation of genetically modified crops: current status and challenges.

Authors:  Chun Yan Gong; Tai Wang
Journal:  Front Plant Sci       Date:  2013-03-07       Impact factor: 5.753

10.  Is central dogma a global property of cellular information flow?

Authors:  Vincent Piras; Masaru Tomita; Kumar Selvarajoo
Journal:  Front Physiol       Date:  2012-11-23       Impact factor: 4.566

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