S-glutathionylation activates STIM1 and alters mitochondrial homeostasis

Oxidant stress influences many cellular processes, including cell growth, differentiation, and cell death. A well-recognized link between these processes and oxidant stress is via alterations in Ca²⁺ signaling. However, precisely how oxidants influence Ca²⁺ signaling remains unclear. Oxidant stress led to a phenotypic shift in Ca²⁺ mobilization from an oscillatory to a sustained elevated pattern via calcium release–activated calcium (CRAC)–mediated capacitive Ca²⁺ entry, and stromal interaction molecule 1 (STIM1)– and Orai1-deficient cells are resistant to oxidant stress. Functionally, oxidant-induced Ca²⁺ entry alters mitochondrial Ca²⁺ handling and bioenergetics and triggers cell death. STIM1 is S-glutathionylated at cysteine 56 in response to oxidant stress and evokes constitutive Ca²⁺ entry independent of intracellular Ca²⁺ stores. These experiments reveal that cysteine 56 is a sensor for oxidant-dependent activation of STIM1 and demonstrate a molecular link between oxidant stress and Ca²⁺ signaling via the CRAC channel.     

Expedient synthesis of coumarin-coupled triazoles via ‘click chemistry’ leading to the formation of coumarin-triazole-sugar hybrids

Coumarin-based triazoles were synthesized from 3-azidomethylcoumarin and a terminal acetylenic compound. Uncatalysed thermal conditions result in a mixture of both 1,4- and 1,5-regioisomers or the thermodynamically more stable 1,4-regioisomer, whereas the Cu(I)-catalysed reaction affords only the favourable 1,4-regioisomer. B3LYP/6-31G(d) level of theory has been used to calculate geometry and frequency features of the reactants, transition states (TSs) and products. Computational studies further reveal that 1,4-regioisomeric products are more favourable and also thermodynamically more stable compared to the 1,5-regioisomers.     

Ringo/cyclin-dependent kinase and mitogen-activated protein kinase signaling pathways regulate the activity of the cell fate determinant Musashi to promote cell cycle re-entry in Xenopus oocytes

Cell cycle re-entry during vertebrate oocyte maturation is mediated through translational activation of select target mRNAs, culminating in the activation of mitogen-activated protein kinase and cyclin B/cyclin-dependent kinase (CDK) signaling. The temporal order of targeted mRNA translation is crucial for cell cycle progression and is determined by the timing of activation of distinct mRNA-binding proteins. We have previously shown in oocytes from Xenopus laevis that the mRNA-binding protein Musashi targets translational activation of early class mRNAs including the mRNA encoding the Mos proto-oncogene. However, the molecular mechanism by which Musashi function is activated is unknown. We report here that activation of Musashi1 is mediated by Ringo/CDK signaling, revealing a novel role for early Ringo/CDK function. Interestingly, Musashi1 activation is subsequently sustained through mitogen-activated protein kinase signaling, the downstream effector of Mos mRNA translation, thus establishing a positive feedback loop to amplify Musashi function. The identified regulatory sites are present in mammalian Musashi proteins, and our data suggest that phosphorylation may represent an evolutionarily conserved mechanism to control Musashi-dependent target mRNA translation.     

Ensembles of human MTL neurons "jump back in time" in response to a repeated stimulus

Episodic memory, which depends critically on the integrity of the medial temporal lobe (MTL), has been described as "mental time travel" in which the rememberer "jumps back in time." The neural mechanism underlying this ability remains elusive. Mathematical and computational models of performance in episodic memory tasks provide a specific hypothesis regarding the computation that supports such a jump back in time. The models suggest that a representation of temporal context, a representation that changes gradually over macroscopic periods of time, is the cue for episodic recall. According to these models, a jump back in time corresponds to a stimulus recovering a prior state of temporal context. In vivo single-neuron recordings were taken from the human MTL while epilepsy patients distinguished novel from repeated images in a continuous recognition memory task. The firing pattern of the ensemble of MTL neurons showed robust temporal autocorrelation over macroscopic periods of time during performance of the memory task. The gradually-changing part of the ensemble state was causally affected by the visual stimulus being presented. Critically, repetition of a stimulus caused the ensemble to elicit a pattern of activity that resembled the pattern of activity present before the initial presentation of the stimulus. These findings confirm a direct prediction of this class of temporal context models and may be a signature of the mechanism that underlies the experience of episodic memory as mental time travel. ? 2012 Wiley Periodicals, Inc.     

Cycling of Etk and Etp phosphorylation states is involved in formation of group 4 capsule by Escherichia coli

Capsules frequently play a key role in bacterial interactions with their environment. Escherichia coli capsules were categorized as groups 1 through 4, each produced by a distinct mechanism. Etk and Etp are members of protein families required for the production of group 1 and group 4 capsules. These members function as a protein tyrosine kinase and protein tyrosine phosphatase, respectively. We show that Etp dephosphorylates Etk in vivo, and mutations rendering Etk or Etp catalytically inactive result in loss of group 4 capsule production, supporting the notion that cyclic phosphorylation and dephosphorylation of Etk is required for capsule formation. Notably, Etp also becomes tyrosine phosphorylated in vivo and catalyzes rapid auto-dephosphorylation. Further analysis identified Tyr121 as the phosphorylated residue of Etp. Etp containing Phe, Glu or Ala in place of Tyr121 retained phosphatase activity and catalyzed dephosphorylation of Etp and Etk. Although EtpY121E and EtpY121A still supported capsule formation, EtpY121F failed to do so. These results suggest that cycles of phosphorylation and dephosphorylation of Etp, as well as Etk, are involved in the formation of group 4 capsule, providing an additional regulatory layer to the complex control of capsule production.     

A synthetic heparan sulfate oligosaccharide library reveals the novel enzymatic action of D-glucosaminyl 3-O-sulfotransferase-3a

Heparan sulfate (HS) glucosaminyl 3-O-sulfotranferases sulfate the C3-hydroxyl group of certain glucosamine residues on heparan sulfate. Six different 3-OST isoforms exist, each of which can sulfate very distinct glucosamine residues within the HS chain. Among these isoforms, 3-OST1 has been shown to play a role in generating ATIII-binding HS anticoagulants whereas 3-OST2, 3-OST3, 3-OST4 and 3OST-6 have been shown to play a vital role in generating gD-binding HS chains that permit the entry of herpes simplex virus type 1 into cells. 3-OST5 has been found to generate both ATIII- and gD-binding HS motifs. Previous studies have examined the substrate specificities of all the 3-OST isoforms using HS polysaccharides. However, very few studies have examined the contribution of the epimer configuration of neighboring uronic acid residues next to the target site to 3-OST action. In this study, we utilized a well-defined synthetic oligosaccharide library to examine the substrate specificity of 3-OST3a and compared it to 3-OST1. We found that both 3-OST1 and 3-OST3a preferentially sulfate the 6-O-sulfated, N-sulfoglucosamine when an adjacent iduronyl residue is located to its reducing side. On the other hand, 2-O-sulfation of this uronyl residue can inhibit the action of 3-OST3a on the target residue. The results reveal novel substrate sites for the enzyme actions of 3-OST3a. It is also evident that both these enzymes have promiscuous and overlapping actions that are differentially regulated by iduronyl 2-O-sulfation.     

New stochastic simulation capability applied to the GREET model

Background, Aims and Scope

In 1995, the Center for Transportation Research (CTR) of Argonne National Laboratory (ANL) began to develop a model, called GREET (Greenhouse gases, Regulated Emissions, and Energy use in Transportation), for estimating the full fuel-cycle energy and emissions impacts of alternative transportation fuels and advanced vehicle technologies. The parametric assumptions used in the GREET model involve uncertainties. A new stochastic simulation tool, developed by Vishwamitra Research Institute (VRI), is built into the GREET model to address uncertainties. This paper presents the methodology and features of this new stochastic simulation tool and evaluates the performance of the sampling techniques in the tool.

Methods

The new tool is interfaced through the graphical user interface (GUI) to perform the stochastic simulation. In general, five steps need to be followed to run a complete simulation: 1) Specify probability distribution functions; 2) Indicate the number of samples and the sampling technique; 3) Define the forecast variables; 4) Delete distribution functions (if necessary); and 5) Propagate the uncertainties and statistically analyze the outputs. The GREET model contains more than 700 default distribution functions for a wide variety of key parameters and as many as 3000 forecast variables. The stochastic simulation tool has been developed to incorporate 11 probability distribution function types for representing uncertain parameters and four sampling techniques (Monte Carlo sampling [MCS], Hammersley Sequence sampling [HSS], Latin Hypercube sampling [LHS] and Latin Hypercube Hammersley sampling [LHHS]) for stochastic simulation. To evaluate the performance of the four sampling techniques, 16 independent stochastic simulation runs were conducted in GREET and the output results were analyzed and compared.

Results and Discussion

With the same number of samples, the output distribution curve simulated by HSS is the smoothest corresponding to the highest level of uniformity. To achieve the same level of smoothness as HSS with 1,000 samples, LHHS needs to be simulated with ～1500 samples and LHS and MCS with ～3,000 samples. As a result, HSS can achieve more than 200% reduction in running time compared to LHS or MCS without compromising the accuracy and quality of the prediction curves. The simulated mean values are close enough to the actual mean value (within ±1%) despite the selection of sampling technique and the number of samples (between 1,000 and 4,000). The standard deviation values from each other are close enough as well (within ±5%). It shows the trend that the increasing number of samples makes the simulated mean value marginally closer to the actual mean value; however, the improvement effect is negligible. The simulation time is strictly positive-correlated with the number of samples; therefore, the trade-off between extending simulation time and improving the smoothness of the output distribution curve needs to be carefully assessed.

Conclusion

A new stochastic simulation tool has been developed to be built into Argonne’s GREET model to enhance its capability for addressing uncertainty. This new tool guides the user in each step of the process through the user-friendly GUI windows. According to the performance comparison among the four sampling techniques, HSS was found to be the most efficient technique. Therefore, HSS was set as the default technique in GREET.     

Comparative Analysis of the Orphan CRISPR2 Locus in 242 Enterococcus faecalis Strains

Clustered, Regularly Interspaced Short Palindromic Repeats and their associated Cas proteins (CRISPR-Cas) provide prokaryotes with a mechanism for defense against mobile genetic elements (MGEs). A CRISPR locus is a molecular memory of MGE encounters. It contains an array of short sequences, called spacers, that generally have sequence identity to MGEs. Three different CRISPR loci have been identified among strains of the opportunistic pathogen Enterococcus faecalis. CRISPR1 and CRISPR3 are associated with the cas genes necessary for blocking MGEs, but these loci are present in only a subset of E. faecalis strains. The orphan CRISPR2 lacks cas genes and is ubiquitous in E. faecalis, although its spacer content varies from strain to strain. Because CRISPR2 is a variable locus occurring in all E. faecalis, comparative analysis of CRISPR2 sequences may provide information about the clonality of E. faecalis strains. We examined CRISPR2 sequences from 228 E. faecalis genomes in relationship to subspecies phylogenetic lineages (sequence types; STs) determined by multilocus sequence typing (MLST), and to a genome phylogeny generated for a representative 71 genomes. We found that specific CRISPR2 sequences are associated with specific STs and with specific branches on the genome tree. To explore possible applications of CRISPR2 analysis, we evaluated 14 E. faecalis bloodstream isolates using CRISPR2 analysis and MLST. CRISPR2 analysis identified two groups of clonal strains among the 14 isolates, an assessment that was confirmed by MLST. CRISPR2 analysis was also used to accurately predict the ST of a subset of isolates. We conclude that CRISPR2 analysis, while not a replacement for MLST, is an inexpensive method to assess clonality among E. faecalis isolates, and can be used in conjunction with MLST to identify recombination events occurring between STs.