54 research outputs found
Role of tryptophan residues of Erv1: Trp95 and Trp183 are important for its folding and oxidase function
Erv1 is an FAD-dependent sulphydryl oxidase of the ERV/ALR sub-family, and an essential component of the mitochondrial import and assembly pathway. Erv1 contains six tryptophan residues, which are all located in the highly conserved C-terminal FAD-binding domain. Though important structural roles were predicted for the invariable Trp95, no experimental study has been reported. In this study, we investigated the structural and functional roles of individual Trp residues of Erv1. Six single Trp-to-Phe yeast mutant strains were generated and their effects on cell viability were tested at various temperatures. Then, the mutants were purified from E. coli. Their effects on folding, FAD-binding, and Erv1 activity were characterised. Our results showed that Erv1W95F has the strongest effect on the stability and function of Erv1, and followed by Erv1W183F. Erv1W95F results in a decrease of the Tm of Erv1 by 23°C, a significant loss of the oxidase activity, and thus causing cell growth defects at both 30°C and 37°C. Erv1W183F induces changes in the oligomerisation state of Erv1, along with a pronounced effect on the stability of Erv1 and its function at 37°C, whilst the other mutants had no clear effect on the function of Erv1 including the highly conserved Trp157 mutant. Finally, computational analysis indicates that Trp95 plays a key role in stabilising the isoalloxazine ring to interact with Cys133. Taken together, this study provided important insights into the molecular mechanism of how sulfhydryl oxidases use FAD in catalyzing disulfide bond formation
Spike-Timing Precision and Neuronal Synchrony Are Enhanced by an Interaction between Synaptic Inhibition and Membrane Oscillations in the Amygdala
The basolateral complex of the amygdala (BLA) is a critical component of the neural circuit regulating fear learning. During fear learning and recall, the amygdala and other brain regions, including the hippocampus and prefrontal cortex, exhibit phase-locked oscillations in the high delta/low theta frequency band (∼2–6 Hz) that have been shown to contribute to the learning process. Network oscillations are commonly generated by inhibitory synaptic input that coordinates action potentials in groups of neurons. In the rat BLA, principal neurons spontaneously receive synchronized, inhibitory input in the form of compound, rhythmic, inhibitory postsynaptic potentials (IPSPs), likely originating from burst-firing parvalbumin interneurons. Here we investigated the role of compound IPSPs in the rat and rhesus macaque BLA in regulating action potential synchrony and spike-timing precision. Furthermore, because principal neurons exhibit intrinsic oscillatory properties and resonance between 4 and 5 Hz, in the same frequency band observed during fear, we investigated whether compound IPSPs and intrinsic oscillations interact to promote rhythmic activity in the BLA at this frequency. Using whole-cell patch clamp in brain slices, we demonstrate that compound IPSPs, which occur spontaneously and are synchronized across principal neurons in both the rat and primate BLA, significantly improve spike-timing precision in BLA principal neurons for a window of ∼300 ms following each IPSP. We also show that compound IPSPs coordinate the firing of pairs of BLA principal neurons, and significantly improve spike synchrony for a window of ∼130 ms. Compound IPSPs enhance a 5 Hz calcium-dependent membrane potential oscillation (MPO) in these neurons, likely contributing to the improvement in spike-timing precision and synchronization of spiking. Activation of the cAMP-PKA signaling cascade enhanced the MPO, and inhibition of this cascade blocked the MPO. We discuss these results in the context of spike-timing dependent plasticity and modulation by neurotransmitters important for fear learning, such as dopamine
Human Augmenter of Liver Regeneration: Probing the Catalytic Mechanism of a Flavin-Dependent Sulfhydryl Oxidase
Augmenter of liver regeneration is
a member of the ERV family of
small flavin-dependent sulfhydryl oxidases that contain a redox-active
CxxC disulfide bond in redox communication with the isoalloxazine
ring of bound FAD. These enzymes catalyze the oxidation of thiol substrates
with the reduction of molecular oxygen to hydrogen peroxide. This
work studies the catalytic mechanism of the short, cytokine form of
augmenter of liver regeneration (sfALR) using model thiol substrates
of the enzyme. The redox potential of the proximal disulfide in sfALR
was found to be approximately 57 mV more reducing than the flavin
chromophore, in agreement with titration experiments. Rapid reaction
studies show that dithiothreitol (DTT) generates a transient mixed
disulfide intermediate with sfALR signaled by a weak charge-transfer
interaction between the thiolate of C145 and the oxidized flavin.
The subsequent transfer of reducing equivalents to the flavin ring
is relatively slow, with a limiting apparent rate constant of 12.4
s<sup>–1</sup>. However, reoxidation of the reduced flavin
by molecular oxygen is even slower (2.3 s<sup>–1</sup> at air
saturation) and thus largely limits turnover at 5 mM DTT. The nature
of the charge-transfer complexes observed with DTT was explored using
a range of simple monothiols to mimic the initial nucleophilic attack
on the proximal disulfide. While β-mercaptoethanol is a very
poor substrate of sfALR (∼0.3 min<sup>–1</sup> at 100
mM thiol), it rapidly generates a mixed disulfide intermediate allowing
the thiolate of C145 to form a strong charge-transfer complex with
the flavin. Unlike the other monothiols tested, glutathione is unable
to form charge-transfer complexes and is an undetectable substrate
of the oxidase. These data are rationalized on the basis of the stringent
steric requirements for thiol-disulfide exchange reactions. The inability
of the relatively bulky glutathione to attain the in-line geometry
required for efficient disulfide exchange in sfALR may be physiologically
important in preventing the oxidase from catalyzing the potentially
harmful oxidation of intracellular glutathione
Identifying novel interactions of the colon-cancer related APC protein with Wnt-pathway nuclear transcription factors
AbstractBackgroundColon cancer is often driven by mutations of the adenomatous polyposis coli (APC) gene, an essential tumor suppressor gene of the Wnt β-catenin signaling pathway. APC and its interactions in the cytoplasm have been well studied, however various groups have also observed its presence in the nucleus. Identifying novel interactions of APC in the Wnt pathway will provide an opportunity to better understand the nuclear role of APC and ultimately identify potential cancer treatment targets.MethodsWe used the all-vs-all sequencing (AVA-Seq) method to interrogate the interactome of protein fragments spanning most of the 60 Wnt β-catenin pathway proteins. Using protein fragments identified the interacting regions between the proteins with more resolution than a full-length protein approach. Pull-down assays were used to validate a subset of these interactions.Results74 known and 703 novel Wnt β-catenin pathway protein-protein interactions were recovered in this study. There were 8 known and 31 novel APC protein-protein interactions. Novel interactions of APC and nuclear transcription factors TCF7, JUN, FOSL1, and SOX17 were particularly interesting and confirmed in validation assays.ConclusionBased on our findings of novel interactions between APC and transcription factors and previous evidence of APC localizing to the nucleus, we suggest APC may compete and repress CTNNB1. This would occur through the binding of the transcription factors (JUN, FOSL1, TCF7) to regulate the Wnt signaling pathway including through enhanced marking of CTNNB1 for degradation in the nucleus by APC binding with SOX17. Additional novel Wnt β-catenin pathway protein-protein interactions from this study could lead researchers to novel drug designs for cancer.</jats:sec
Credibility investigation of newsworthy tweets using a visualising Petri net model
Investigating information credibility is an important problem in online social networks such as Twitter. Since misleading information can get easily propagated in Twitter, ranking tweets according to their credibility can help to detect rumors and identify misinformation. In this paper, we propose a Petri net model to visualise tweet credibility in Twitter. We consider the uniform resource locator (URL) as an effective feature in evaluating tweet credibility since it is used to identify the source of tweets, especially for newsworthy tweets. We perform an experimental evaluation on about 1000 tweets, and show that the proposed model is effective for assigning tweets to two classes: credible and incredible tweets, which each class being further divided into two sub-classes (“credible” and “seem credible” and “doubtful” and “incredible” tweets, respectively) based on appropriate features
Site-specific insertion of selenium into the redox-active disulfide of the flavoprotein augmenter of liver regeneration
Causes of failure in endoscopic frontal sinus surgery in chronic rhinosinusitis patients
High-resolution protein fragment interactions using AVA-Seq on a human reference set
AbstractProtein-protein interactions (PPIs) are important in understanding numerous aspects of protein function. Here, the recently developed all-vs-all sequencing (AVA-Seq) approach to determine protein-protein interactions was tested on a gold-standard human protein interaction set (hsPRS-v2). Initially, these data were interpreted strictly from a binary PPI perspective to compare AVA-Seq to other binary PPI methods tested on the same hsPRS-v2. AVA-Seq recovered 20 of 47 (43%) binary PPIs from this reference set comparing favorably with other methods. The same experimental data allowed for the determination of >500 known and novel PPIs including interactions between wildtype fragments of tumor protein p53 and minichromosomal maintenance complex proteins 2, and 5 (MCM2 and MCM5) that could be of interest in human disease. Additional results gave a better understanding of why interactions might be missed using AVA-Seq and aide future PPI experimental design for maximum recovery of information.</jats:p
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