Autism spectrum disorder (ASD) and dyslexia are both neurodevelopmental disorders with high prevalence in children. Both disorders have strong genetic basis, and share similar social communication deficits co-occurring with impairments of reading or language. However, whether these two disorders share common genetic risks remain elusive. DOCK4 (dedicator for cytokinesis 4), a guanine nucleotide exchange factor (GEF) for the small GTPase Rac1, is one of few genes that are associated with both ASD and dyslexia. Dock4 is important for neuronal development and social behaviors. Two DOCK4 variations, Exon27-52 deletion (protein product: Dock4-945VS) and a missense mutation at rs2074130 (protein product: Dock4-R853H), are associated with dyslexia and/or ASD with reading difficulties. The present study explores the molecular and cellular functions of these two DOCK4 variants on neuronal development, by comparing them with the wild-type Dock4 protein. Notably, it is revealed that both mutants of Dock4 showed decreased ability to activate not only Rac1, but also another small GTPase Rap1. Consistently, both mutants were dysfunctional for regulation of cell morphology and cytoskeleton. Using Neuro-2a cells and hippocampus neurons as models, we found that both mutants had compromised function in promoting neurite outgrowth and dendritic spine formation. Electrophysiological recordings further showed that R853H partially lost the ability to promote excitatory synaptic transmission, whereas 945VS totally lost the ability. Together, we identified R853 as a previously uncharacterized site for the regulation of the integrity of Dock4 function, and provides insights in understanding the common molecular pathophysiology of ASD and dyslexia.
Drug resistance caused by excessive and indiscriminate antibiotic usage has become a serious public health problem. The need of finding new antibacterial drugs is more urgent than ever before. Tyrosyl-tRNA synthase was proved to be a potent target in combating drug-resistant bacteria. In silico methodologies including molecular docking and 3D-QSAR were employed to investigate a series of newly reported tyrosyl-tRNA synthase inhibitors of furanone derivatives. Both internal and external cross-validation were conducted to obtain high predictive and satisfactory CoMFA model (q 2 = 0.611, r 2 pred = 0.933, r 2 m = 0.954) and CoMSIA model (q 2 = 0.546, r 2 pred = 0.959, r 2 m = 0.923). Docking results, which correspond with CoMFA/CoMSIA contour maps, gave the information for interactive mode exploration. Ten new molecules designed on the basis of QSAR and docking models have been predicted more potent than the most active compound 3-(4-hydroxyphenyl)-4-(2-morpholinoethoxy)furan-2(5H)-one (15) in the literatures. The results expand our understanding of furanones as inhibitors of tyrosyl-tRNA synthase and could be helpful in rationally designing of new analogs with more potent inhibitory activities.
A proliferation of literature documented the correlation between the teachers’ use of technology and the factors of technostress, burnout as well as the peda-gogical content knowledge. Yet insufficient findings explored the impacting factors of demographic factors of individual teachers and school support on educational use of technology. Hierarchical regression employed in this study advanced the traditional regression analysis of individual demographic factors, added by the second-step of school support model. The statistical results sup-ported both hypotheses that Model 1 of individual factors and Model 2 of the combined factors of individual and school support significantly predicted teachers’ use of technology. In addition, the study results showed that R square value progressed from 0.26 in model 1 to 0.60 in Model 2, implying the additional 34% of the variance explained by the combined factors collectively. The findings shed lights on in robustness of the models in predicting teachers’ in-tention to use technology and the school administrative policy in advocating the persistent use of ICT in educational settings.
mRNA translation is critical for regulation of various aspects of the nervous system. Ionotropic glutamate and gamma‐aminobutyric acid type A (GABAA) receptors are fundamental synaptic ion channels that control excitatory and inhibitory synaptic transmission, respectively. However, little is known about the translation of these receptors during brain development and function. By utilizing polysome profiling, a powerful tool for investigating translational machinery and mRNA translational states, we characterized the translational patterns of α‐amino‐3‐hydroxy‐5‐methyl‐4‐isoxazolepropionic acid (AMPA), N‐methyl‐d‐aspartate (NMDA), and GABAA receptor subunits, and compared them with total mRNA and protein levels during mouse brain development, in different brain regions, and in response to behavioral stimuli. Most of the receptor subunits exhibited developmental changes at total mRNA, translation, and protein levels, among which translation of Gria1, Gria2, Grin1, Grin2a, Gabra1, and Gabrg2 contributed greatly to their protein levels. Most of the receptor subunits also displayed differentiated levels of total mRNA, translation, and protein in the prefrontal cortex and hippocampus, among which translation of Gria1, Gria2, Gabrb2, and Gabrg2 contributed to their protein levels. Finally, we showed that acute foot shock stress had a rapid influence in both the prefrontal cortex and hippocampus, with the prefrontal cortex displaying more changes at translational and protein levels. Notably, Grin2a is translationally repressed by stress which was followed by a decrease of GluN2A protein in both brain regions. Together, this study provides a new understanding of the translational patterns of critical ionotropic synaptic receptors during brain development and behavioral stress.
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