Identification of MADS genes from a brown alga,Sargassum fulvellum

The conserved region of numerous MADS genes in gulfweed (Sargassum fulvellum) was cloned by PCR with degenerate primers. Analysis of seventy individual clones resulted in the identification of nineteen types of nucleotide sequences. There sequences encode portions of the MADS domain in four distinctive groups. Six clones belong to the AGAMOUS subfamily, ten to AGL2, and two to AGL12. The remaining one clone is distinctive and appears to be diverged from an ancestor of the AGL2 and AP1 groups. There were no A or B class MADS genes. These results suggest that, as found in land plants, MADS genes also play major roles in controlling the development of algae.     

Apparent Strength Conceals Instability in a Model for the Collapse of Historical States

An explanation for the political processes leading to the sudden collapse of empires and states would be useful for understanding both historical and contemporary political events. We examine political disintegration across eras, cultures and geographical scale to form a simple hypothesis that can be expressed verbally yet formulated mathematically. Factions within a state make choices described by game-theory about whether to accept the political status quo, or to attempt to better their circumstances through costly rebellion. In lieu of precise data we verify our model using sensitivity analysis. We find that a small amount of dissatisfaction is typically harmless to the state, but can trigger sudden collapse when there is a sufficient buildup of political inequality. Contrary to intuition, a state is predicted to be least stable when its leadership is at the height of its political power and thus most able to exert its influence through external warfare, lavish expense or autocratic decree.     

Phosphorylation of PDZ1 domain attenuates NHERF-1 binding to cellular targets

NHERF-1 (Na(+)-H(+) exchanger regulatory factor 1, also known as EBP50 ezrin-binding protein of 50 kDa) is a phosphoprotein that assembles multiprotein complexes via two PDZ domains and a C-terminal ezrin-binding domain. Current work utilized metabolic labeling in cultured cells expressing wild type GFP-NHERF-1 to define the physiological importance of NHERF-1 phosphorylation. Treatment of cells with phosphatase inhibitors calyculin A and okadaic acid enhanced NHERF-1 phosphorylation and inhibited its dimerization. Eliminating C-terminal serines abolished the modulation of NHERF-1 dimerization by phosphatase inhibitors and identified the phosphorylation of the PDZ1 domain that attenuated its binding to physiological targets, including beta(2)-adrenergic receptor, platelet-derived growth factor receptor, cystic fibrosis transmembrane conductance regulator, and sodium-phosphate cotransporter type IIa. The major covalent modification of PDZ1 was mapped to serine 77. Confocal microscopy of cultured cells suggested key roles for PDZ1 and ERM-binding domain in localizing NHERF-1 at the cell surface. The substitution S77A eliminated PDZ1 phosphorylation and increased NHERF-1 localization at the cell periphery. In contrast, S77D reduced NHERF-1 colocalization with cortical actin cytoskeleton. These data suggested that serine 77 phosphorylation played key role in modulating NHERF-1 association with plasma membrane targets and identified a novel mechanism by which PDZ1 phosphorylation may transduce hormonal signals to regulate the function of membrane proteins in epithelial tissues.     

Evaluation of <Emphasis Type="Italic">in silico</Emphasis> algorithms for use with ACMG/AMP clinical variant interpretation guidelines

Background

The American College of Medical Genetics and American College of Pathologists (ACMG/AMP) variant classification guidelines for clinical reporting are widely used in diagnostic laboratories for variant interpretation. The ACMG/AMP guidelines recommend complete concordance of predictions among all in silico algorithms used without specifying the number or types of algorithms. The subjective nature of this recommendation contributes to discordance of variant classification among clinical laboratories and prevents definitive classification of variants.

Results

Using 14,819 benign or pathogenic missense variants from the ClinVar database, we compared performance of 25 algorithms across datasets differing in distinct biological and technical variables. There was wide variability in concordance among different combinations of algorithms with particularly low concordance for benign variants. We also identify a previously unreported source of error in variant interpretation (false concordance) where concordant in silico predictions are opposite to the evidence provided by other sources. We identified recently developed algorithms with high predictive power and robust to variables such as disease mechanism, gene constraint, and mode of inheritance, although poorer performing algorithms are more frequently used based on review of the clinical genetics literature (2011–2017).

Conclusions

Our analyses identify algorithms with high performance characteristics independent of underlying disease mechanisms. We describe combinations of algorithms with increased concordance that should improve in silico algorithm usage during assessment of clinically relevant variants using the ACMG/AMP guidelines.

     

Probing the Interactions Responsible for the Structural Stability of Trypanothione Reductase Through Computer Simulation and Biophysical Characterization

The Protein Journal - With the necessity to develop antileishmanial drugs with substrate specificity, trypanothione reductase (TryR) has gained popularity in parasitology. TryR is unique to be...     

Controlled Release of Ropinirole Hydrochloride from a Multiple Barrier Layer Tablet Dosage Form: Effect of Polymer Type on Pharmacokinetics and IVIVC

The purpose of the present study was to control in vitro burst effect of the highly water-soluble drug, ropinirole hydrochloride to reduce in vivo dose dumping and to establish in vitro–in vivo correlation. The pharmacokinetics of two entirely different tablet formulation technologies is also explored in this study. For pharmacokinetics study, FDA recommends at least 10% difference in drug release for formulations to be studied but here a different approach was adopted. The formulations F8A and F9A having similar dissolution profiles among themselves and with Requip® XL™ (f₂ value 72, 77, 71 respectively) were evaluated. The C_max of formulation F8A comprising hypromellose 100,000 cP was 1005.16 pg/ml as compared to 973.70 pg/ml of formulation F9A comprising hypromellose 4000 cP irrespective of T_max of 5 and 5.75 h, respectively. The difference in release and extent of absorption in vivo was due to synergistic effect of complex RH release mechanism; however, AUC_0–t and AUC_0–∞ values were comparable. The level A correlation using the Wagner–Nelson method supported the findings where R² was 0.7597 and 0.9675 respectively for formulation F8A and F9A. Thus, in vivo studies are required for proving the therapeutic equivalency of different formulation technologies even though f₂ ≥ 50. The technology was demonstrated effectively at industrial manufacturing scale of 200,000 tablets.KEY WORDS: controlled release polymer, in vitro–in vivo correlation (IVIVC), multiple barrier layer tablets, pharmacokinetics, ropinirole hydrochloride (RH)     

Induction of spine growth and synapse formation by regulation of the spine actin cytoskeleton

We explored the relationship between regulation of the spine actin cytoskeleton, spine morphogenesis, and synapse formation by manipulating expression of the actin binding protein NrbI and its deletion mutants. In pyramidal neurons of cultured rat hippocampal slices, NrbI is concentrated in dendritic spines by binding to the actin cytoskeleton. Expression of one NrbI deletion mutant, containing the actin binding domain, dramatically increased the density and length of dendritic spines with synapses. This hyperspinogenesis was accompanied by enhanced actin polymerization and spine motility. Synaptic strengths were reduced to compensate for extra synapses, keeping total synaptic input per neuron constant. Our data support a model in which synapse formation is promoted by actin-powered motility.     

Translational Coupling Controls Expression and Function of the DrrAB Drug Efflux Pump

This study investigates the role of translational coupling in the expression and function of DrrA and DrrB proteins, which form an efflux pump for the export of anticancer drugs doxorubicin and daunorubicin in the producer organism Streptomyces peucetius. Interest in studying the role of translational coupling came from the initial observation that DrrA and DrrB proteins confer doxorubicin resistance only when they are expressed in cis. Because of the presence of overlapping stop and start codons in the intergenic region between drrA and drrB, it has been assumed that the translation of drrB is coupled to the translation of the upstream gene drrA even though direct evidence for coupling has been lacking. In this study, we show that the expression of drrB is indeed coupled to translation of drrA. We also show that the introduction of non-coding sequences between the stop codon of drrA and the start of drrB prevents formation of a functional complex, although both proteins are still produced at normal levels, thus suggesting that translational coupling also plays a crucial role in proper assembly. Interestingly, replacement of drrA with an unrelated gene was found to result in very high drrB expression, which becomes severely growth inhibitory. This indicates that an additional mechanism within drrA may optimize expression of drrB. Based on the observations reported here, it is proposed that the production and assembly of DrrA and DrrB are tightly linked. Furthermore, we propose that the key to assembly of the DrrAB complex lies in co-folding of the two proteins, which requires that the genes be maintained in cis in a translationally coupled manner.