Literature DB >> 35152388

Phosphoproteomic Approaches to Evaluate ABA Signaling.

Kota Yamashita1, Taishi Umezawa2,3.   

Abstract

Abscisic acid (ABA) is a major phytohormone that regulates various processes in plants (e.g., seed dormancy/germination, abiotic/biotic stress responses). As protein phosphorylation is involved in the major pathways of ABA signaling, it is necessary to elucidate the phosphosignaling pathway involved in the ABA response. Phosphoproteomics enables determination of the proteins phosphorylated in vivo, and recent studies have applied a comparative phosphoproteomic approach to analyze ABA signaling in plants. For example, ABA-responsive phosphoproteins were identified in barley embryos. Furthermore, a phosphoproteomic approach is useful for screening protein kinase substrates by comparative analysis using kinase knockout mutants. Here, some technical points regarding phosphoproteomic analyses of ABA responses in plants are described.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Abscisic acid; Label-free quantification; Mass spectrometry; Phosphoproteomics; Protein phosphorylation; Signal transduction

Mesh:

Substances:

Year:  2022        PMID: 35152388     DOI: 10.1007/978-1-0716-2156-1_13

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


  19 in total

Review 1.  Phosphoproteomics in Arabidopsis: moving from empirical to predictive science.

Authors:  Scott C Peck
Journal:  J Exp Bot       Date:  2006-03-10       Impact factor: 6.992

Review 2.  Using phosphoproteomics to reveal signalling dynamics in plants.

Authors:  Sergio de la Fuente van Bentem; Heribert Hirt
Journal:  Trends Plant Sci       Date:  2007-08-31       Impact factor: 18.313

3.  Robust prediction of the MASCOT score for an improved quality assessment in mass spectrometric proteomics.

Authors:  Thomas Koenig; Bjoern H Menze; Marc Kirchner; Flavio Monigatti; Kenneth C Parker; Thomas Patterson; Judith Jebanathirajah Steen; Fred A Hamprecht; Hanno Steen
Journal:  J Proteome Res       Date:  2008-08-16       Impact factor: 4.466

Review 4.  Global and site-specific quantitative phosphoproteomics: principles and applications.

Authors:  Boris Macek; Matthias Mann; Jesper V Olsen
Journal:  Annu Rev Pharmacol Toxicol       Date:  2009       Impact factor: 13.820

Review 5.  Abscisic acid: emergence of a core signaling network.

Authors:  Sean R Cutler; Pedro L Rodriguez; Ruth R Finkelstein; Suzanne R Abrams
Journal:  Annu Rev Plant Biol       Date:  2010       Impact factor: 26.379

Review 6.  Molecular basis of the core regulatory network in ABA responses: sensing, signaling and transport.

Authors:  Taishi Umezawa; Kazuo Nakashima; Takuya Miyakawa; Takashi Kuromori; Masaru Tanokura; Kazuo Shinozaki; Kazuko Yamaguchi-Shinozaki
Journal:  Plant Cell Physiol       Date:  2010-10-26       Impact factor: 4.927

7.  Quantitative phosphoproteomics identifies SnRK2 protein kinase substrates and reveals the effectors of abscisic acid action.

Authors:  Pengcheng Wang; Liang Xue; Giorgia Batelli; Shinyoung Lee; Yueh-Ju Hou; Michael J Van Oosten; Huiming Zhang; W Andy Tao; Jian-Kang Zhu
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-17       Impact factor: 11.205

8.  Type 2C protein phosphatases directly regulate abscisic acid-activated protein kinases in Arabidopsis.

Authors:  Taishi Umezawa; Naoyuki Sugiyama; Masahide Mizoguchi; Shimpei Hayashi; Fumiyoshi Myouga; Kazuko Yamaguchi-Shinozaki; Yasushi Ishihama; Takashi Hirayama; Kazuo Shinozaki
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-29       Impact factor: 11.205

9.  Genetics and phosphoproteomics reveal a protein phosphorylation network in the abscisic acid signaling pathway in Arabidopsis thaliana.

Authors:  Taishi Umezawa; Naoyuki Sugiyama; Fuminori Takahashi; Jeffrey C Anderson; Yasushi Ishihama; Scott C Peck; Kazuo Shinozaki
Journal:  Sci Signal       Date:  2013-04-09       Impact factor: 8.192

10.  MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics.

Authors:  Andy T Kong; Felipe V Leprevost; Dmitry M Avtonomov; Dattatreya Mellacheruvu; Alexey I Nesvizhskii
Journal:  Nat Methods       Date:  2017-04-10       Impact factor: 28.547

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