Literature DB >> 35152390

SWATH-MS Proteomic Approach to Discover Novel Protein Targets and Pathways in Response to Abscisic Acid.

Bei Gao1,2, Mo-Xian Chen1,3, Fu-Yuan Zhu4.   

Abstract

SWATH-MS proteomic approaches enable the identification and quantification of thousands of proteins within a single profiling experiment, which is useful for the identification of genes regulated by abscisic acid (ABA) in a high-throughput manner. Here we describe the experimental procedures for protein extraction, digestion, peptides desalting, followed by the establishment of a DDA spectrum database and DIA-based SWATH detection and protein quantification. This method is able to identify and quantify proteins involved in ABA metabolism, signal perception and transduction with high accuracy and reproducibility.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Abscisic acid; Arabidopsis thaliana; DDA; DIA; Label-free; Proteome; Rice

Mesh:

Substances:

Year:  2022        PMID: 35152390     DOI: 10.1007/978-1-0716-2156-1_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  13 in total

1.  Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis.

Authors:  Ludovic C Gillet; Pedro Navarro; Stephen Tate; Hannes Röst; Nathalie Selevsek; Lukas Reiter; Ron Bonner; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2012-01-18       Impact factor: 5.911

2.  Simultaneous analysis of relative protein expression levels across multiple samples using iTRAQ isobaric tags with 2D nano LC-MS/MS.

Authors:  Richard D Unwin; John R Griffiths; Anthony D Whetton
Journal:  Nat Protoc       Date:  2010-08-26       Impact factor: 13.491

3.  Apple bZIP transcription factor MdbZIP44 regulates abscisic acid-promoted anthocyanin accumulation.

Authors:  Jian-Ping An; Ji-Fang Yao; Rui-Rui Xu; Chun-Xiang You; Xiao-Fei Wang; Yu-Jin Hao
Journal:  Plant Cell Environ       Date:  2018-08-03       Impact factor: 7.228

4.  SWATH-MS-Based Proteomics: Strategies and Applications in Plants.

Authors:  Mo-Xian Chen; Youjun Zhang; Alisdair R Fernie; Ying-Gao Liu; Fu-Yuan Zhu
Journal:  Trends Biotechnol       Date:  2020-10-06       Impact factor: 19.536

5.  Full-Length Transcript-Based Proteogenomics of Rice Improves Its Genome and Proteome Annotation.

Authors:  Mo-Xian Chen; Fu-Yuan Zhu; Bei Gao; Kai-Long Ma; Youjun Zhang; Alisdair R Fernie; Xi Chen; Lei Dai; Neng-Hui Ye; Xue Zhang; Yuan Tian; Di Zhang; Shi Xiao; Jianhua Zhang; Ying-Gao Liu
Journal:  Plant Physiol       Date:  2019-12-19       Impact factor: 8.340

6.  SWATH-MS Quantitative Proteomic Investigation Reveals a Role of Jasmonic Acid during Lead Response in Arabidopsis.

Authors:  Fu-Yuan Zhu; Wai-Lung Chan; Mo-Xian Chen; Ricky P W Kong; Congxi Cai; Qiaomei Wang; Jian-Hua Zhang; Clive Lo
Journal:  J Proteome Res       Date:  2016-09-06       Impact factor: 4.466

7.  Minimizing technical variation during sample preparation prior to label-free quantitative mass spectrometry.

Authors:  E Scheerlinck; M Dhaenens; A Van Soom; L Peelman; P De Sutter; K Van Steendam; D Deforce
Journal:  Anal Biochem       Date:  2015-08-22       Impact factor: 3.365

Review 8.  Data-independent acquisition-based SWATH-MS for quantitative proteomics: a tutorial.

Authors:  Christina Ludwig; Ludovic Gillet; George Rosenberger; Sabine Amon; Ben C Collins; Ruedi Aebersold
Journal:  Mol Syst Biol       Date:  2018-08-13       Impact factor: 11.429

9.  SWATH-MS-facilitated proteomic profiling of fruit skin between Fuji apple and a red skin bud sport mutant.

Authors:  Mo-Xian Chen; Chao Sun; Kai-Lu Zhang; Yu-Chen Song; Yuan Tian; Xi Chen; Ying-Gao Liu; Neng-Hui Ye; Jianhua Zhang; Shenchun Qu; Fu-Yuan Zhu
Journal:  BMC Plant Biol       Date:  2019-10-24       Impact factor: 4.215

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