Literature DB >> 22452248

Performance of isobaric and isotopic labeling in quantitative plant proteomics.

Fábio C S Nogueira1, Giuseppe Palmisano, Veit Schwämmle, Francisco A P Campos, Martin R Larsen, Gilberto B Domont, Peter Roepstorff.   

Abstract

Mass spectrometry has become indispensable for peptide and protein quantification in proteomics studies. When proteomics technologies are applied to understand the biology of plants, two-dimensional gel electrophoresis is still the prevalent method for protein fractionation, identification, and quantitation. In the present work, we have used LC-MS to compare an isotopic (ICPL) and isobaric (iTRAQ) chemical labeling technique to quantify proteins in the endosperm of Ricinus communis seeds at three developmental stages (IV, VI, and X). Endosperm proteins of each stage were trypsin-digested in-solution, and the same amount of peptides was labeled with ICPL and iTRAQ tags in two orders (forward and reverse). Each sample was submitted to nanoLC coupled to an LTQ-Orbitrap high-resolution mass spectrometer. Comparing labeling performance, iTRAQ was able to label 99.8% of all identified unique peptides, while 94.1% were labeled by ICPL. After statistical analysis, it was possible to quantify 309 (ICPL) and 321 (iTRAQ) proteins, from which 95 are specific to ICPL, 107 to iTRAQ, and 214 common to both labeling strategies. We noted that the iTRAQ quantification could be influenced by the tag. Even though the efficiency of the iTRAQ and ICPL in protein quantification depends on several parameters, both labeling methods were able to successfully quantify proteins present in the endosperm of castor bean during seed development and, when combined, increase the number of quantified proteins.

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Year:  2012        PMID: 22452248     DOI: 10.1021/pr300192f

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  16 in total

1.  Genomic DNA Methylation Analyses Reveal the Distinct Profiles in Castor Bean Seeds with Persistent Endosperms.

Authors:  Wei Xu; Tianquan Yang; Xue Dong; De-Zhu Li; Aizhong Liu
Journal:  Plant Physiol       Date:  2016-04-28       Impact factor: 8.340

2.  iFASP: combining isobaric mass tagging with filter-aided sample preparation.

Authors:  Gary S McDowell; Aleksandr Gaun; Hanno Steen
Journal:  J Proteome Res       Date:  2013-07-22       Impact factor: 4.466

3.  Quantitative Proteomic Profiling of Early and Late Responses to Salicylic Acid in Cucumber Leaves.

Authors:  Chun-Juan Dong; Ning Cao; Liang Li; Qing-Mao Shang
Journal:  PLoS One       Date:  2016-08-23       Impact factor: 3.240

4.  iTRAQ-Based Quantitative Proteomic Analysis of Spirulina platensis in Response to Low Temperature Stress.

Authors:  Qingye Li; Rong Chang; Yijun Sun; Bosheng Li
Journal:  PLoS One       Date:  2016-11-30       Impact factor: 3.240

5.  Proteomic analysis of stress-related proteins and metabolic pathways in Picea asperata somatic embryos during partial desiccation.

Authors:  Danlong Jing; Jianwei Zhang; Yan Xia; Lisheng Kong; Fangqun OuYang; Shougong Zhang; Hanguo Zhang; Junhui Wang
Journal:  Plant Biotechnol J       Date:  2016-07-14       Impact factor: 9.803

6.  iTRAQ-Based Quantitative Proteomic Analysis Reveals Cold Responsive Proteins Involved in Leaf Senescence in Upland Cotton (Gossypium hirsutum L.).

Authors:  Xuewei Zheng; Shuli Fan; Hengling Wei; Chengcheng Tao; Qiang Ma; Qifeng Ma; Siping Zhang; Hongbin Li; Chaoyou Pang; Shuxun Yu
Journal:  Int J Mol Sci       Date:  2017-09-16       Impact factor: 5.923

7.  iTRAQ-Based Comparative Proteomic Analysis Provides Insights into Molecular Mechanisms of Salt Tolerance in Sugar Beet (Beta vulgaris L.).

Authors:  Guo-Qiang Wu; Jin-Long Wang; Rui-Jun Feng; Shan-Jia Li; Chun-Mei Wang
Journal:  Int J Mol Sci       Date:  2018-12-04       Impact factor: 5.923

8.  Gel-based and gel-free quantitative proteomics approaches at a glance.

Authors:  Cosette Abdallah; Eliane Dumas-Gaudot; Jenny Renaut; Kjell Sergeant
Journal:  Int J Plant Genomics       Date:  2012-11-20

9.  iTRAQ-Based Quantitative Proteomic Analysis of Cotton Roots and Leaves Reveals Pathways Associated with Salt Stress.

Authors:  Tingting Chen; Lei Zhang; Haihong Shang; Shaodong Liu; Jun Peng; Wankui Gong; Yuzhen Shi; Siping Zhang; Junwen Li; Juwu Gong; Qun Ge; Aiying Liu; Huijuan Ma; Xinhua Zhao; Youlu Yuan
Journal:  PLoS One       Date:  2016-02-03       Impact factor: 3.240

10.  Physiological and Proteomic Responses of Contrasting Alfalfa (Medicago sativa L.) Varieties to PEG-Induced Osmotic Stress.

Authors:  Cuimei Zhang; Shangli Shi
Journal:  Front Plant Sci       Date:  2018-02-28       Impact factor: 5.753

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