Anti-CAMK2A polyclonal antibody

A combined in silico method was developed to predict potential protein targets that are involved in cardiotoxicity induced by aconitine alkaloids and to study the quantitative structure-toxicity relationship (QSTR) of these compounds. For the prediction research, a Protein-Protein Interaction (PPI) network was built from the extraction of useful information about protein interactions connected with aconitine cardiotoxicity, based on nearly a decade of literature and the STRING database. The software Cytoscape and the PharmMapper server were utilized to screen for essential proteins in the constructed network. The Calcium-Calmodulin-Dependent Protein Kinase II alpha (CAMK2A) and gamma (CAMK2G) were identified as potential targets. To obtain a deeper insight on the relationship between the toxicity and the structure of aconitine alkaloids, the present study utilized QSAR models built in Sybyl software that possess internal robustness and external high predictions. The molecular dynamics simulation carried out here have demonstrated that aconitine alkaloids possess binding stability for the receptor CAMK2G. In conclusion, this comprehensive method will serve as a tool for following a structural modification of the aconitine alkaloids and lead to a better insight into the cardiotoxicity induced by the compounds that have similar structures to its derivatives.

In the present study, we have coupled the chronic mild stress (CMS) protocol with Affymetrix microarray technology to screen the rat genome for gene changes in the frontal cortex. The aim of our work was to assess whether the CMS protocol could be a useful experimental model to provide insights into the molecular basis of depression. Under our experimental conditions, 59 transcripts changed by more than +/- 1.5-fold between naive and anhedonic rats and showed significantly altered expression levels (P < 0.05). Among these, 18 were upregulated (fold change range +1.509 to +3.161) and 41 were downregulated (fold change range -1.505 to -2.659). To confirm the data obtained with microarrays, we used real-time reverse transcription polymerase chain reaction (RT-PCR). The results confirmed the downregulation of Itga6, Camk2a, Plcb1, Cart, Gad1, Homer1 and Th and the upregulation of Egr2 and Ptgs2 observed in the DNA microarray analysis. Moreover, the fold change data of the nine validated transcripts from microarray analysis and real-time polymerase chain reaction showed a good correlation (r = 0.863, 7 d.f., P < 0.01; slope = 0.976). It is of great interest that prostaglandin-endoperoxide synthase 2, tyrosine hydroxylase, Cart, Homer1 and glutamate decarboxylase have already been implicated in affective disorders by different approaches in previous reports. In conclusion, our findings indicate that the CMS paradigm is a useful preclinical model with which to investigate the molecular basis of anhedonia and to help in the discovery of novel targets for antidepressant drugs.