The ε isoform of protein kinase C (PKCε) is a member of the PKC family of serine/threonine kinases and plays a critical role in protection against ischemic injury in multiple organs. Functional proteomic analyses of PKCε signaling show that this isozyme forms multiprotein complexes in the heart; however, the precise signaling mechanisms whereby PKCε orchestrates cardioprotection are poorly understood. Here we report that Lck, a member of the Src family of tyrosine kinases, forms a functional signaling module with PKCε. In cardiac cells, PKCε interacts with, phosphorylates, and activates Lck. In vivo studies showed that cardioprotection elicited either by cardiac-specific transgenic activation of PKCε or by ischemic preconditioning enhances the formation of PKCε-Lck modules. Disruption of these modules, via ablation of the Lck gene, abrogated the infarct-sparing effects of these two forms of cardioprotection, indicating that the formation of PKCε-Lck signaling modules is required for the manifestation of a cardioprotective phenotype. These findings demonstrate, for the first time to our knowledge, that the assembly of a module (PKCε-Lck) is an obligatory step in the signal transduction that results in a specific phenotype. Thus, PKCε-Lck modules may serve as novel therapeutic targets for the prevention of ischemic injury.
Peipei Ping, Changxu Song, Jun Zhang, Yiru Guo, Xinan Cao, Richard C.X. Li, Wenjian Wu, Thomas M. Vondriska, Jason M. Pass, Xian-Liang Tang, William M. Pierce, Roberto Bolli
Usage data is cumulative from September 2023 through September 2024.
Usage | JCI | PMC |
---|---|---|
Text version | 426 | 72 |
145 | 39 | |
Figure | 286 | 7 |
Citation downloads | 49 | 0 |
Totals | 906 | 118 |
Total Views | 1,024 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.