The active kinome: The modern view of how active protein kinase networks fit in biological research |
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| Affiliation: | 1. Department of Neurosciences, University of Toledo College of Medicine, Toledo, OH, USA;2. Department of Biomedical Informatics, University of Cincinnati, Cincinnati, OH, USA;3. Division of Biomedical Informatics, Cincinnati Children''s Hospital Medical Center, Cincinnati, OH, USA;4. Division of Biostatistics and Bioinformatics, Department of Environmental and Public Health Sciences, University of Cincinnati, Cincinnati, OH, USA;5. Department of Pharmacology and System Biology, College of Medicine, University of Cincinnati, Cincinnati, OH, USA;6. Department of Electrical Engineering and Computer Science, College of Engineering and Applied Sciences, University of Cincinnati, Cincinnati, OH, USA;7. Neurosciences Institute, ProMedica, Toledo, OH, USA;1. Janssen Research & Development, Turnhoutseweg 30, 2340 Beerse, Belgium;2. Janssen Research & Development, La Jolla, 3210 Merryfield Row, San Diego, CA 92121, USA;3. Janssen Research & Development, Spring House, 1400 McKean Road, Spring House, PA 19002, USA;4. Janssen Research & Development, Val de Reuil, Campus de Maigremont, B.P. 615, 27106 Val De Reuil Cedex, France;5. KINOMEscan Division of DiscoveRx Corporation, 11180 Roselle Street, Suite D, San Diego, CA 92121, USA;1. Unité Récepteurs-Canaux, Institut Pasteur, UMR 3571, CNRS, 75015, Paris, France;2. CNM Team, Université de Strasbourg, Centre National de La Recherche Scientifique, CAMB UMR 7199, Faculté de Pharmacie, 67401, Illkirch, France;3. University of Strasbourg Institute for Advanced Studies (USIAS), 67000, Strasbourg, France;1. School of Pharmacy/Basic Medicine/Acupuncture & Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 610075, China;2. China-New Zealand Collaboration Centre for Integrative Medicine (CHINZIM), Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 610075, China;3. State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, South Renmin Road, Wu Hou District, Chengdu, Sichuan, 610044, China;4. Centre for Health, Activity, and Rehabilitation Research, School of Physiotherapy, University of Otago, Dunedin, Otago, 9054, New Zealand;5. China-New Zealand Collaboration Centre for Integrative Medicine (CHINZIM), University of Otago, Dunedin, Otago, 9054, New Zealand;6. Ageing Well National Science Challenge, University of Otago, Dunedin, 9054, New Zealand;1. Ophthalmology Unit, Department of Experimental Medicine, University of Rome “Tor Vergata”, Rome, Italy;2. Department of Biomedicine and Prevention University of Rome Tor Vergata;3. Department of Radiology, “Athinoula A. Martinos” Center for Biomedical Imaging, Boston, MA, United States;4. Harvard Medical School, Boston, MA, United States;5. Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Via Pietro Bucci, 87036, Arcavacata di Rende (CS), Italy;6. San Raffaele Cassino FR, Italy;1. Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Barasat-Barrackpore Rd, Kolkata, West Bengal 700126, India;2. Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore 756020, Odisha, India;3. Institute for Skeletal Aging & Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, 24252, Gangwon-do, Republic of Korea |
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| Abstract: | Biological regulatory networks are dynamic, intertwined, and complex systems making them challenging to study. While quantitative measurements of transcripts and proteins are key to investigate the state of a biological system, they do not inform the “active” state of regulatory networks. In consideration of that fact, “functional” proteomics assessments are needed to decipher active regulatory processes. Phosphorylation, a key post-translation modification, is a reversible regulatory mechanism that controls the functional state of proteins. Recent advancements of high-throughput protein kinase activity profiling platforms allow for a broad assessment of protein kinase networks in complex biological systems. In conjunction with sophisticated computational modeling techniques, these profiling platforms provide datasets that inform the active state of regulatory systems in disease models and highlight potential drug targets. Taken together, system-wide profiling of protein kinase activity has become a critical component of modern molecular biology research and presents a promising avenue for drug discovery. |
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| Keywords: | Post-translational modification Bioinformatics PamChip PamStation Protein array |
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