Ribosomal protein S7 regulates arsenite-induced GADD45α expression by attenuating MDM2-mediated GADD45α ubiquitination and degradation

The stress-responding protein, GADD45α, plays important roles in cell cycle checkpoint, DNA repair and apoptosis. In our recent study, we demonstrate that GADD45α undergoes a dynamic ubiquitination and degradation in vivo, which process can be blocked by the cytotoxic reagent, arsenite, resulting in GADD45α accumulation to activate JNKs cell death pathway, thereby revealing a novel mechanism for the cellular GADD45α functional regulation. But the factors involved in GADD45α stability modulations are unidentified. Here, we demonstrated that MDM2 was an E3 ubiquitin ligase for GADD45α. One of MDM2-binding partner, ribosomal protein S7, interacted with and stabilized GADD45α through preventing the ubiquitination and degradation of GADD45α mediated by MDM2. This novel function of S7 is unrelated to p53 but seems to depend on S7/MDM2 interaction, for the S7 mutant lacking MDM2-binding ability lost its function to stabilize GADD45α. Further investigations indicated that arsenite treatment enhanced S7–MDM2 interaction, resulting in attenuation of MDM2-dependent GADD45α ubiquitination and degradation, thereby leading to GADD45α-dependent cell death pathway activation. Silencing S7 expression suppressed GADD45α-dependent cytotoxicity induced by arsenite. Our findings thus identify a novel function of S7 in control of GADD45α stabilization under both basal and stress conditions and its significance in mediating arsenite-induced cellular stress.     

DNA motif elucidation using belief propagation

Protein-binding microarray (PBM) is a high-throughout platform that can measure the DNA-binding preference of a protein in a comprehensive and unbiased manner. A typical PBM experiment can measure binding signal intensities of a protein to all the possible DNA k-mers (k = 8 ∼10); such comprehensive binding affinity data usually need to be reduced and represented as motif models before they can be further analyzed and applied. Since proteins can often bind to DNA in multiple modes, one of the major challenges is to decompose the comprehensive affinity data into multimodal motif representations. Here, we describe a new algorithm that uses Hidden Markov Models (HMMs) and can derive precise and multimodal motifs using belief propagations. We describe an HMM-based approach using belief propagations (kmerHMM), which accepts and preprocesses PBM probe raw data into median-binding intensities of individual k-mers. The k-mers are ranked and aligned for training an HMM as the underlying motif representation. Multiple motifs are then extracted from the HMM using belief propagations. Comparisons of kmerHMM with other leading methods on several data sets demonstrated its effectiveness and uniqueness. Especially, it achieved the best performance on more than half of the data sets. In addition, the multiple binding modes derived by kmerHMM are biologically meaningful and will be useful in interpreting other genome-wide data such as those generated from ChIP-seq. The executables and source codes are available at the authors’ websites: e.g. http://www.cs.toronto.edu/∼wkc/kmerHMM.     

Synchronization regulation in a model of coupled neural masses

A model of coupled neural masses can generate seizure-like events and dynamics similar to those observed during interictal to ictal transitions and thus can be used for theoretical study of the control of epileptic seizures. In an effort to understand the mechanisms underlying epileptic seizures and how to avoid them, we added a control input to this model. Epileptic seizures are always accompanied by hypersynchronous firing of neurons, so research on synchronization among cortical areas is significant for seizure control. In this study, principal component analysis (PCA) was used to identify synchronization clusters composed of several neural masses. A method for calculating the synchronization cluster strength and participation rate is presented. The synchronization cluster strength can be used to identify synchronization clusters and the participation rate can be employed to identify neural masses that participate in the clusters. Each synchronization cluster is controlled as a whole using a proportional-integral-derivative (PID) controller. We illustrate these points using coupled neural mass models of synchronization to show their responses to increased (between node) coupling with and without control. Experiment results indicated that PID control can effectively regulate synchronization between neural masses and has the potential for seizure prevention.     

Salt Tolerance in Astragalus cicer Microsymbionts: The Role of Glycine Betaine in Osmoprotection

In this study, we have investigated intrinsic salt tolerance of Astragalus cicer microsymbionts (USDA3350, ACMP18) and the role of exogenous glycine betaine in osmoprotection in these bacteria. Salt stress was imposed by NaCl concentrations ranging from 0.5 to 2 %. A. cicer mesorhizobia were capable of tolerating up to 2 % sodium chloride with a population count that was inversely proportional to the salt content. When the extracellular concentration of NaCl was raised to 2 %, the generation time of the UDSA3350 strain in the mid-exponential phase of growth was 3.9-times greater than that in the no-salt control medium, whereas the ACMP18 strain survived under the same conditions but did not multiply. Application of 1 mM glycine betaine into the salt-stressed rhizobium cultures increased the number of culturable bacteria, pointing out that this molecule was involved in restoration of osmotic balance. The decline in A. cicer symbiont viability in the medium with sodium chloride and the osmoprotective role of glycine betaine for these bacteria was confirmed in the experiment using the live/dead Bac Light Bacterial Vibility Kit. Data presented in this study showed the presence of proU-like genes in the genomes of A. cicer rhizobia with high sequence similarity to the genes of the ProU-like system in Sinorhizobium meliloti and the proU operon of Escherichia coli.     

Store-Operated Ca2+ Channels Blockers Inhibit Lipopolysaccharide Induced Astrocyte Activation

The destruction of calcium homeostasis is an important factor leading to neurological diseases. Store-operated Ca²⁺ (SOC) channels are essential for Ca²⁺ homeostasis in many cell types. However, whether SOC channels are involved in astrocyte activation induced by lipopolysaccharide (LPS) still remains unknown. In this study, we used LPS as an exogenous stimulation to investigate the role of SOC channels in astrocyte activation. Using calcium imaging technology, we first found that SOC channels blockers, 1-[h-[3-(4-methoxyphenyl)propoxy]-4-methoxyphenethyl]-1H-imidazole (SKF-96365) and 2-aminoethyldiphenyl borate (2-APB), inhibited LPS induced [Ca²⁺]_i increase, which prompted us to speculate that SOC channels may be involved in LPS induced astrocyte activation. Further experiments confirmed our speculation shown as SOC channels blockers inhibited LPS induced astrocyte activation characterized as cell proliferation by MTS and BrdU assay, raise in glial fibrillary acidic protein expression by immunofluorescence and Western Blot and secretion of interleukin 6 (IL-6) and interleukin 1β (IL-1β) by ELISA. So, our studies showed that SOC channels are involved in LPS-induced astrocyte activation.     

Comparison between drug-induced and K+-induced changes in molar acid extrusion fluxes (JH +) and in energy consumption rates in astrocytes

Neuronal excitation leads to an increase of the extracellular K⁺ concentration ([K⁺]_o) in brain. This increase has at least two energy-consuming consequences: (1) a depolarization-mediated change in intracellular pH (pH_i) in astrocytes due to depolarization-mediated increased activity of the acid-extruding Na⁺/bicarbonate transporter NBCe1 (driven by secondary active transport, supported by ion gradients established by the Na⁺, K⁺-ATPase); and (2) activation of cellular reuptake of K⁺ mediated by the Na⁺, K⁺-ATPase in both neurons and astrocytes. Astrocytic, but not neuronal increase in NBCe1 activity and pH_i is also seen after chronic treatment with either of the two anti-bipolar drugs carbamazepine or valproic acid. The third ‘classical’ anti-bipolar drug, ‘lithium’ increases astrocytic pH_i by a different mechanism (stimulation of the acid extruding Na⁺/H⁺ exchanger NHE1). The acid extruder fluxes, which depend upon the change in pH_i per time unit (ΔpH_i/Δt) and intracellular buffering power, have not been established in most of these situations. Therefore their stimulatory effects on energy metabolism has not been quantitated. This has been done in the present study in cultured mouse astrocytes. pH_i was determined using the fluorescent pH-sensitive indicator BCECF–AM and an Olympus IX71 live cell imaging fluorescence microscope. Molar acid extrusion fluxes (indicating transporter activity) were determined as pH_i changes/min during recovery after acid-loading with NH₃/NH₄ ⁺, NBCe1 mRNA and protein expression in the cultured cells by, respectively RT-PCR and Western blotting. Drug-induced up-regulation of acid extrusion flux was slow and less than physiologically seen after increase in K⁺ concentration. Energetically, K⁺ uptake is much costlier than NBCe1 activity.     

Effects of Sevoflurane on Self-Renewal Capacity and Differentiation of Cultured Neural Stem Cells

Sevoflurane anesthesia in infant rats can result in long-term cognitive impairment, possibly by inhibiting neurogenesis. The hippocampus is critical for memory consolidation and is one of only two mammalian brain regions where neural stem cells (NSCs) are renewed continuously throughout life. To elucidate the pathogenesis of sevoflurane-induced cognitive dysfunction, we measured the effects of clinical sevoflurane doses on the survival, proliferation, and differentiation of hippocampal NSCs. Neural stem cells were isolated from Sprague–Dawley rat embryos, expanded in vitro, and exposed to sevoflurane at 0.5, 1, or 1.5 minimal alveolar concentration (MAC) for 1 or 6 h. Two days after treatment, cell viability, cytotoxicity, and apoptosis rate were estimated by WST-1 assay, lactate dehydrogenase (LDH) activity, and TdT-mediated dUTP-biotin nick end labeling (TUNEL), respectively, while proliferation rate was assessed by 5-ethynyl-2′-deoxyuridine (BrdU) incorporation and Ki67 staining. Differentiation was assayed 7 days after treatment by immunocytochemistry and Western blots of neuron and glial markers. The phosphorylation level of p44/42 extracellular regulated kinases (ERK1/2) was measured in the proliferation and differentiation phases respectively. Sevoflurane at 1 MAC or 1.5 MAC for 1 h increased viable cell number whereas a 6 h exposure at these same concentrations suppressed proliferation and promoted apoptotic death (P < 0.01). Sevoflurane had no effect on NSC differentiation, and a sub-clinical concentration (0.5 MAC) altered neither proliferation nor viability. The phosphorylation level of ERK1/2 increased after 1 h of 1 MAC or 1.5 MAC of sevoflurane exposure in the proliferation phase, but not in the differentiation phase. Brief (1 h) exposure to sevoflurane at clinical concentrations enhanced proliferation of cultured NSCs possibly mediated by ERK1/2, but a 6 h exposure suppressed proliferation and induced apoptosis. Prolonged sevoflurane exposure may decrease the self-renewal capacity of hippocampal NSCs, resulting in cognitive deficits.