Protein kinase C stimulates HuD-mediated mRNA stability and protein expression of neurotrophic factors and enhances dendritic maturation of hippocampal neurons in culture

Hippocampus ◽  
2012 ◽  
Vol 22 (12) ◽  
pp. 2303-2319 ◽  
Author(s):  
Chol Seung Lim ◽  
Daniel L. Alkon
Author(s):  
Ghanshyam N Pandey ◽  
Anuradha Sharma ◽  
Hooriyah S Rizavi ◽  
Xinguo Ren

Abstract Background Several lines of evidence suggest the abnormalities of protein kinase C (PKC) signaling system in mood disorders and suicide based primarily on the studies of PKC and its isozymes in the platelets and postmortem brain of depressed and suicidal subjects. In this study we examined the role of PKC isozymes in depression and suicide. Methods We determined the protein and mRNA expression of various PKC isozymes in the prefrontal cortical region [Brodmann area 9 (BA9)] in 24 normal control (NC) subjects, 24 depressed suicide (DS) subjects and 12 depressed non-suicide (DNS) subjects. The levels of mRNA in the prefrontal cortex (PFC) were determined by qRT-PCR and the protein expression was determined by Western blotting. Results We observed a significant decrease in mRNA expression of PKCα, PKCβI, PKCδ and PKCε and decreased protein expression either in the membrane or the cytosol fraction of PKC isozymes - PKCα, PKCβI, PKCβII and PKCδ in DS and DNS subjects compared with NC subjects. Conclusions The current study provides detailed evidence of specific dysregulation of certain PKC isozymes in the postmortem brain of DS and DNS subjects and further supports earlier evidence for the role of PKC in the platelets and brain of adult and teenage depressed and suicidal population. This comprehensive study may lead to further knowledge of the involvement of PKC in the pathophysiology of depression and suicide.


2019 ◽  
Author(s):  
Ann Rita Halvorsen ◽  
Mads Haugland Haugen ◽  
Åsa Kristina Öjlert ◽  
Marius Lund-Iversen ◽  
Lars Jørgensen ◽  
...  

Abstract Background Protein expression is deregulated in cancer, and the proteomic changes observed in lung cancer may be a consequence of mutations in essential genes. The purpose of this study was to identify protein expression associated with prognosis in lung cancers stratified by smoking status, molecular subtypes, and EGFR-, TP53- and KRAS-mutations. Methods We performed profiling of 295 cancer-relevant phosphorylated and non-phosphorylated proteins, using reverse phase protein arrays. Biopsies from 80 patients with operable lung adenocarcinomas were analyzed for protein expression and association with progression free survival (PFS) were studied. Results Spearman rank correlation analysis identified 56 proteins with significant association to PFS (p<0.05). High expression of protein kinase C (PKC)-α and the phosporylated state of PKC-α, PKC-β and PKC-δ, showed the strongest positive correlation to PFS, especially in the wild type samples. This was confirmed in gene expression data from 186 samples. Based on protein expression, unsupervised hierarchical clustering separated the samples into four subclusters enriched with the molecular subtypes TRU, PI or PP (p=0.0001). Subcluster 2 contained a smaller cluster (2a) enriched with samples of the subtype PP, low expression of the PKC isozymes, and associated with poor PFS (p=0.003) compared to the other samples. Subcluster 2a revealed increased expression of neuroendocrine markers, supporting the aggressive behavior. Low expression of the PKC isozymes in the subtype PP and a reduced relapse free survival was confirmed with the TCGA LUAD samples. Conclusion This study identified different proteins associated with PFS depending on molecular subtype, smoking- and mutational-status, with PKC-α, PKC-β and PKC-δ showing the strongest correlation. Cluster analysis detected a subgroup of samples enriched for samples of the PP subtype and poor PFS, which may benefit from a more aggressive treatment regimen.


1997 ◽  
Vol 73 ◽  
pp. 67
Author(s):  
Takao Irie ◽  
Mitsuyoshi Hara ◽  
Tohru Yasukura ◽  
Kyoko Yagyu ◽  
Kyoko Omori ◽  
...  

Neuron ◽  
1996 ◽  
Vol 16 (5) ◽  
pp. 1019-1026 ◽  
Author(s):  
Angela R Cantrell ◽  
Jenny Y Ma ◽  
Todd Scheuer ◽  
William A Catterall

2004 ◽  
Vol 141 (6) ◽  
pp. 997-1005 ◽  
Author(s):  
Ying-Shan Han ◽  
Wen-Hua Zheng ◽  
Stéphane Bastianetto ◽  
Jean-Guy Chabot ◽  
Rémi Quirion

Hippocampus ◽  
2009 ◽  
Vol 19 (5) ◽  
pp. 413-423 ◽  
Author(s):  
Guo-rong Zhang ◽  
Meng Liu ◽  
Haiyan Cao ◽  
Lingxin Kong ◽  
Xiaodan Wang ◽  
...  

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