Literature DB >> 20097120

Proteomics approaches to understand protein phosphorylation in pathway modulation.

Waltraud X Schulze1.   

Abstract

Signaling pathways in all organisms consist of series of phosphorylation and dephosphorylation events that define directionality and allow different levels of feedback-regulation. Mass spectrometry-based proteomic analyses in recent years have led to a proteome-wide identification of thousands of phosphorylation sites in various plant species. Given this magnitude of mostly qualitative information about protein phosphorylation, discovery of specific phosphoproteins with regulatory functions represents a major challenge. In future large-scale experiments, combinations of data-driven modeling strategies based on quantitative data, targeted kinase-substrate screens, and verification in biochemical and genetic experiments are required to specifically spot phosphorylation sites with specific roles in signaling pathway modulation. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20097120     DOI: 10.1016/j.pbi.2009.12.008

Source DB:  PubMed          Journal:  Curr Opin Plant Biol        ISSN: 1369-5266            Impact factor:   7.834


  28 in total

1.  Identification and validation of inhibitor-responsive kinase substrates using a new paradigm to measure kinase-specific protein phosphorylation index.

Authors:  Xiang Li; Varsha Rao; Jin Jin; Bin Guan; Kenna L Anderes; Charles J Bieberich
Journal:  J Proteome Res       Date:  2012-06-18       Impact factor: 4.466

2.  Significant and unique changes in phosphorylation levels of four phosphoproteins in two apple rootstock genotypes under drought stress.

Authors:  Jing Ren; Juan Mao; Cunwu Zuo; Alejandro Calderón-Urrea; Mohammed Mujitaba Dawuda; Xin Zhao; Xinwen Li; Baihong Chen
Journal:  Mol Genet Genomics       Date:  2017-07-14       Impact factor: 3.291

3.  Estimating the Efficiency of Phosphopeptide Identification by Tandem Mass Spectrometry.

Authors:  Chuan-Chih Hsu; Liang Xue; Justine V Arrington; Pengcheng Wang; Juan Sebastian Paez Paez; Yuan Zhou; Jian-Kang Zhu; W Andy Tao
Journal:  J Am Soc Mass Spectrom       Date:  2017-03-10       Impact factor: 3.109

Review 4.  Quantitative plant phosphoproteomics.

Authors:  Kelli G Kline-Jonakin; Gregory A Barrett-Wilt; Michael R Sussman
Journal:  Curr Opin Plant Biol       Date:  2011-07-18       Impact factor: 7.834

5.  Sucrose-induced receptor kinase SIRK1 regulates a plasma membrane aquaporin in Arabidopsis.

Authors:  Xu Na Wu; Clara Sanchez Rodriguez; Heidi Pertl-Obermeyer; Gerhard Obermeyer; Waltraud X Schulze
Journal:  Mol Cell Proteomics       Date:  2013-07-02       Impact factor: 5.911

Review 6.  Systems biology approaches to abscisic acid signaling.

Authors:  Taishi Umezawa
Journal:  J Plant Res       Date:  2011-04-02       Impact factor: 2.629

7.  Phosphoproteome dynamics upon changes in plant water status reveal early events associated with rapid growth adjustment in maize leaves.

Authors:  Ludovic Bonhomme; Benoît Valot; François Tardieu; Michel Zivy
Journal:  Mol Cell Proteomics       Date:  2012-07-10       Impact factor: 5.911

8.  Universal Plant Phosphoproteomics Workflow and Its Application to Tomato Signaling in Response to Cold Stress.

Authors:  Chuan-Chih Hsu; Yingfang Zhu; Justine V Arrington; Juan Sebastian Paez; Pengcheng Wang; Peipei Zhu; I-Hsuan Chen; Jian-Kang Zhu; W Andy Tao
Journal:  Mol Cell Proteomics       Date:  2018-07-13       Impact factor: 5.911

9.  Phosphoproteome profiling revealed abnormally phosphorylated AMPK and ATF2 involved in glucose metabolism and tumorigenesis of GH-PAs.

Authors:  S Zhao; J Feng; C Li; H Gao; P Lv; J Li; Q Liu; Y He; H Wang; L Gong; D Li; Y Zhang
Journal:  J Endocrinol Invest       Date:  2018-04-24       Impact factor: 4.256

10.  Large-scale comparative phosphoprotein analysis of maize seedling leaves during greening.

Authors:  De-Li Ning; Ke-Hui Liu; Chang-Cai Liu; Jin-Wen Liu; Chun-Rong Qian; Yang Yu; Yue-Feng Wang; Ying-Chun Wang; Bai-Chen Wang
Journal:  Planta       Date:  2015-10-23       Impact factor: 4.116

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