Literature DB >> 22161995

Current chemical biology tools for studying protein phosphorylation and dephosphorylation.

Candy H S Lu1, Kai Liu, Lay Pheng Tan, Shao Q Yao.   

Abstract

Amongst different posttranslational events involved in cellular-signaling pathways, phosphorylation and dephosphorylation of proteins are the most prevalent. Aberrant regulations in the cellular phosphoproteome network are implicated in most major human diseases. Consequently, kinases and phosphatases are two of the most important groups of drug targets in medicinal research today. A major challenge in the understanding of protein phosphorylation and dephosphorylation is the sheer complexity of the phosphoproteome network and the lack of tools capable of studying protein phosphorylation and dephosphorylation as they occur in cells. We highlight herein various chemical biology tools that have emerged in the last decade for such studies. First, we discuss the use of small-molecule mimics of phosphoamino acids and their use in elucidating the function of protein phosphorylation and dephosphorylation. We also introduce recent advances in the field of activity-based protein profiling (ABPP) for proteome-wide detection of protein phosphorylation and dephosphorylation. We next discuss the key concepts in the design of peptide- and protein-based biosensors capable of real-time reporting of phosphorylation/dephosphorylation events. Finally, we highlight the application of peptide and small-molecule microarrays (SMMs), and their applications in high-throughput screening and discovery of new compounds related to phosphorylation/dephosphorylation.
Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2011        PMID: 22161995     DOI: 10.1002/chem.201103206

Source DB:  PubMed          Journal:  Chemistry        ISSN: 0947-6539            Impact factor:   5.236


  8 in total

1.  In-situ generation of differential sensors that fingerprint kinases and the cellular response to their expression.

Authors:  Diana Zamora-Olivares; Tamer S Kaoud; Kevin N Dalby; Eric V Anslyn
Journal:  J Am Chem Soc       Date:  2013-09-18       Impact factor: 15.419

2.  Design and synthesis of a reagent for solid-phase incorporation of the phosphothreonine mimetic (2S,3R)-2-amino-3-methyl-4-phosphonobutyric acid (Pmab) into peptides in a bio-reversible phosphonyl-bis-pivaloyloxymethyl (POM) prodrug form.

Authors:  Wen-Jian Qian; Terrence R Burke
Journal:  Amino Acids       Date:  2013-08-02       Impact factor: 3.520

3.  Activity-based probe for histidine kinase signaling.

Authors:  Kaelyn E Wilke; Samson Francis; Erin E Carlson
Journal:  J Am Chem Soc       Date:  2012-05-24       Impact factor: 15.419

4.  Activity-based probes for studying the activity of flavin-dependent oxidases and for the protein target profiling of monoamine oxidase inhibitors.

Authors:  Joanna M Krysiak; Johannes Kreuzer; Peter Macheroux; Albin Hermetter; Stephan A Sieber; Rolf Breinbauer
Journal:  Angew Chem Int Ed Engl       Date:  2012-06-11       Impact factor: 15.336

Review 5.  Proteomic database mining opens up avenues utilizing extracellular protein phosphorylation for novel therapeutic applications.

Authors:  Garif Yalak; Bjorn R Olsen
Journal:  J Transl Med       Date:  2015-04-19       Impact factor: 5.531

6.  Genetically encoding phosphotyrosine and its nonhydrolyzable analog in bacteria.

Authors:  Xiaozhou Luo; Guangsen Fu; Rongsheng E Wang; Xueyong Zhu; Claudio Zambaldo; Renhe Liu; Tao Liu; Xiaoxuan Lyu; Jintang Du; Weimin Xuan; Anzhi Yao; Sean A Reed; Mingchao Kang; Yuhan Zhang; Hui Guo; Chunhui Huang; Peng-Yu Yang; Ian A Wilson; Peter G Schultz; Feng Wang
Journal:  Nat Chem Biol       Date:  2017-06-12       Impact factor: 15.040

Review 7.  The Toolbox for Uncovering the Functions of Legionella Dot/Icm Type IVb Secretion System Effectors: Current State and Future Directions.

Authors:  Gunnar N Schroeder
Journal:  Front Cell Infect Microbiol       Date:  2018-01-05       Impact factor: 5.293

8.  Computational identification of microbial phosphorylation sites by the enhanced characteristics of sequence information.

Authors:  Md Mehedi Hasan; Md Mamunur Rashid; Mst Shamima Khatun; Hiroyuki Kurata
Journal:  Sci Rep       Date:  2019-06-04       Impact factor: 4.379

  8 in total

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