Literature DB >> 24945548

[Ananlysis of phosphoproteins and signalling pathways by quantitative proteomics].

M Pjechová, L Hernychova, P Tomašec, G W Wilkinson, B Vojtěšek.   

Abstract

Protein phosphorylation is a key regulator in cellular signaling pathways. It is involved in most cellular events in which interplay between phosphatases and kinases strictly controls bio-logical processes, such as differentiation, proliferation and apoptosis. Altered or defective signaling pathways often result in various diseases, emphasizing the importance of studying the phosphoproteome. The abundance of phosphoproteins in the proteome is often very low, which requires specific and highly sensitive approaches. By using quantitative proteomics methods, we are able to analyze changes in abundance of proteins and their posttranslational modifications and then changes in signaling pathways. In this review, we describe quantitative proteomics methods, which could be used for study of phosphoproteins and their connection in signaling pathways.

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Year:  2014        PMID: 24945548     DOI: 10.14735/amko20141s116

Source DB:  PubMed          Journal:  Klin Onkol        ISSN: 0862-495X


  3 in total

1.  Phosphoproteomic analysis of the response of maize leaves to drought, heat and their combination stress.

Authors:  Xiuli Hu; Liuji Wu; Feiyun Zhao; Dayong Zhang; Nana Li; Guohui Zhu; Chaohao Li; Wei Wang
Journal:  Front Plant Sci       Date:  2015-05-05       Impact factor: 5.753

2.  The Difference of Physiological and Proteomic Changes in Maize Leaves Adaptation to Drought, Heat, and Combined Both Stresses.

Authors:  Feiyun Zhao; Dayong Zhang; Yulong Zhao; Wei Wang; Hao Yang; Fuju Tai; Chaohai Li; Xiuli Hu
Journal:  Front Plant Sci       Date:  2016-10-26       Impact factor: 5.753

3.  Quantitative iTRAQ-based proteomic analysis of phosphoproteins and ABA-regulated phosphoproteins in maize leaves under osmotic stress.

Authors:  Xiuli Hu; Nana Li; Liuji Wu; Chunqi Li; Chaohai Li; Li Zhang; Tianxue Liu; Wei Wang
Journal:  Sci Rep       Date:  2015-10-27       Impact factor: 4.379

  3 in total

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