Literature DB >> 19614568

The regulation of protein phosphorylation.

Louise N Johnson1.   

Abstract

Phosphorylation plays essential roles in nearly every aspect of cell life. Protein kinases regulate signalling pathways and cellular processes that mediate metabolism, transcription, cell-cycle progression, differentiation, cytoskeleton arrangement and cell movement, apoptosis, intercellular communication, and neuronal and immunological functions. Protein kinases share a conserved catalytic domain, which catalyses the transfer of the gamma-phosphate of ATP to a serine, threonine or tyrosine residue in protein substrates. The kinase can exist in an active or inactive state regulated by a variety of mechanisms in different kinases that include control by phosphorylation, regulation by additional domains that may target other molecules, binding and regulation by additional subunits, and control by protein-protein association. This Novartis Medal Lecture was delivered at a meeting on protein evolution celebrating the 200th anniversary of Charles Darwin's birth. I begin with a summary of current observations from protein sequences of kinase phylogeny. I then review the structural consequences of protein phosphorylation using our work on glycogen phosphorylase to illustrate one of the more dramatic consequences of phosphorylation. Regulation of protein phosphorylation is frequently disrupted in the diseased state, and protein kinases have become high-profile targets for drug development. Finally, I consider recent advances on protein kinases as drug targets and describe some of our recent work with CDK9 (cyclin-dependent kinase 9)-cyclin T, a regulator of transcription.

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Year:  2009        PMID: 19614568     DOI: 10.1042/BST0370627

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  84 in total

1.  Expression and purification of Src-family kinases for solution NMR studies.

Authors:  Andrea Piserchio; David Cowburn; Ranajeet Ghose
Journal:  Methods Mol Biol       Date:  2012

2.  Musite, a tool for global prediction of general and kinase-specific phosphorylation sites.

Authors:  Jianjiong Gao; Jay J Thelen; A Keith Dunker; Dong Xu
Journal:  Mol Cell Proteomics       Date:  2010-08-11       Impact factor: 5.911

3.  Expression and localization of five members of the testis-specific serine kinase (Tssk) family in mouse and human sperm and testis.

Authors:  Yahui Li; Julian Sosnik; Laura Brassard; Michael Reese; Nikolay A Spiridonov; Tonya C Bates; Gibbes R Johnson; Juan Anguita; Pablo E Visconti; Ana M Salicioni
Journal:  Mol Hum Reprod       Date:  2010-08-20       Impact factor: 4.025

4.  The proteomic signature of insulin-resistant human skeletal muscle reveals increased glycolytic and decreased mitochondrial enzymes.

Authors:  J Giebelstein; G Poschmann; K Højlund; W Schechinger; J W Dietrich; K Levin; H Beck-Nielsen; K Podwojski; K Stühler; H E Meyer; H H Klein
Journal:  Diabetologia       Date:  2012-01-27       Impact factor: 10.122

5.  Protein phosphorylation during Plasmodium berghei gametogenesis.

Authors:  Alberto Alonso-Morales; Lorena González-López; Febe Elena Cázares-Raga; Leticia Cortés-Martínez; Jorge Aurelio Torres-Monzón; José Luis Gallegos-Pérez; Mario Henry Rodríguez; Anthony A James; Fidel de la Cruz Hernández-Hernández
Journal:  Exp Parasitol       Date:  2015-05-22       Impact factor: 2.011

6.  Theory of the origin, evolution, and nature of life.

Authors:  Erik D Andrulis
Journal:  Life (Basel)       Date:  2011-12-23

Review 7.  Proteomic approaches in research of cyanobacterial photosynthesis.

Authors:  Natalia Battchikova; Martina Angeleri; Eva-Mari Aro
Journal:  Photosynth Res       Date:  2014-10-31       Impact factor: 3.573

8.  Phosphopeptidomics Reveals Differential Phosphorylation States and Novel SxE Phosphosite Motifs of Neuropeptides in Dense Core Secretory Vesicles.

Authors:  Christopher B Lietz; Thomas Toneff; Charles Mosier; Sonia Podvin; Anthony J O'Donoghue; Vivian Hook
Journal:  J Am Soc Mass Spectrom       Date:  2018-03-19       Impact factor: 3.109

9.  Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework.

Authors:  Yanju Zhang; Ruopeng Xie; Jiawei Wang; André Leier; Tatiana T Marquez-Lago; Tatsuya Akutsu; Geoffrey I Webb; Kuo-Chen Chou; Jiangning Song
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

10.  A Human Ribonuclease Variant and ERK-Pathway Inhibitors Exhibit Highly Synergistic Toxicity for Cancer Cells.

Authors:  Trish T Hoang; I Caglar Tanrikulu; Quinn A Vatland; Trieu M Hoang; Ronald T Raines
Journal:  Mol Cancer Ther       Date:  2018-10-03       Impact factor: 6.261

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