Abstract

Protein kinases and their substrates form signaling networks partitioned across subcellular compartments to facilitate critical biological processes. While the subcellular roles of many individual kinases have been elucidated, a comprehensive assessment of the synaptic subkinome is lacking. Further, most studies of kinases focus on transcript, protein, and/or phospho-protein expression levels, providing an indirect measure of protein kinase activity. Prior work suggests that gene expression levels are not a good predictor of protein function. Thus, we assessed global serine/threonine protein kinase activity profiles in synaptosomal, nuclear, and cytosolic fractions from rat frontal cortex homogenate using peptide arrays. Comparisons made between fractions demonstrated differences in overall protein kinase activity. Upstream kinase analysis revealed a list of cognate kinases that were enriched in the synaptosomal fraction compared to the nuclear fraction. We identified many kinases in the synaptic fraction previously implicated in this compartment, while also identifying other kinases with little or no evidence for synaptic localization. Our results show the feasibility of assessing subcellular fractions with peptide activity arrays, as well as suggesting compartment specific activity profiles associated with established and novel kinases.

Details

Title
Subcellular partitioning of protein kinase activity revealed by functional kinome profiling
Author
Wegman-Points, Lauren 1 ; Alganem, Khaled 2 ; Imami, Ali Sajid 2 ; Mathis, Victoria 1 ; Creeden, Justin Fortune 2 ; McCullumsmith, Robert 3 ; Yuan, Li-Lian 1 

 Des Moines University, Department of Physiology and Pharmacology, College of Osteopathic Medicine, Des Moines, USA (GRID:grid.255049.f) (ISNI:0000 0001 2110 718X) 
 University of Toledo, Department of Neurosciences, College of Medicine and Life Sciences, Toledo, USA (GRID:grid.267337.4) (ISNI:0000 0001 2184 944X) 
 University of Toledo, Department of Neurosciences, College of Medicine and Life Sciences, Toledo, USA (GRID:grid.267337.4) (ISNI:0000 0001 2184 944X); ProMedica, Neurosciences Institute, Toledo, USA (GRID:grid.422550.4) (ISNI:0000 0001 2353 4951) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2724927138
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.