Expression and characterization of Flavikunin: A Kunitz‐type serine protease inhibitor identified in the venom gland cDNA library of Bungarus flaviceps

Trancriptomic analysis of the venom gland cDNA library of Bungarus flaviceps revealed Kunitz‐type serine protease inhibitor as one of the major venom protein families with three groups A, B, C. One of the group B isoforms named Flavikunin, which lacked an extra cysteine residue involved in disulfide bond formation in β‐bungarotoxin, was synthesized, cloned, and overexpressed in Escherichia coli. To decipher the structure‐function relationship, the P1 residue of Flavikunin, histidine, was mutated to alanine and arginine. Purified wild‐type and mutant Flavikunins were screened against serine proteases‐thrombin, factor Xa, trypsin, chymotrypsin, plasmin, and elastase. The wild‐type and mutant Flavikunin (H?R) inhibited plasmin with an IC ₅₀ of 0.48 and 0.35 µM, respectively. The in‐silico study showed that P1 residue of wild‐type and mutant (H?R) Flavikunin interacted with S1′ and S1 site of plasmin, respectively. Thus, histidine at the P1 position was found to be involved in plasmin inhibition with mild anticoagulant activity.     

Actin on multiple fronts to generate a muscle fiber

How the actin cytoskeleton is harnessed to fulfill its diverse cellular functions is a recurrent and intriguing question. In this issue of Developmental Cell, Kim et al. and Massarwa et al. describe a new role for F-actin, and more specifically the actin regulator WASp, in myoblast fusion in Drosophila.     

Role of glycosphingolipids in the function of human serotonin1A receptors

Glycosphingolipids are essential components of eukaryotic cell membranes and are involved in the regulation of cell growth, differentiation, and neoplastic transformation. In this work, we have modulated glycosphingolipid levels in CHO cells stably expressing the human serotonin_1A receptor by inhibiting the activity of glucosylceramide synthase using (±)‐threo‐1‐phenyl‐2‐decanoylamino‐3‐morpholino‐1‐propanol (PDMP), a commonly used inhibitor of the enzyme. Serotonin_1A receptors belong to the family of G‐protein‐coupled receptors and are implicated in the generation and modulation of various cognitive, behavioral, and developmental functions. We explored the function of the serotonin_1A receptor under glycosphingolipid‐depleted condition by monitoring ligand‐binding activity and G‐protein coupling of the receptor. Our results show that ligand binding of the receptor is impaired under these conditions although the efficiency of G‐protein coupling remains unaltered. The expression of the receptor at the cell membrane appears to be reduced. Interestingly, our results show that the effect of glycosphingolipids on ligand binding caused by metabolic depletion of these lipids is reversible. These novel results demonstrate that glycosphingolipids are necessary for the function of the serotonin_1A receptor. We discuss possible mechanisms of specific interaction of glycosphingolipids with the serotonin_1A receptor that could involve the proposed ‘sphingolipid‐binding domain’.     

Uncovering potential Drug Targets for Tuberculosis using Protein Networks

The emergence of HIV-TB co-infection and multi-drug resistant strains of Mycobacterium tuberculosis (Mtb) drive the need for new therapeutics against the infectious disease tuberculosis. Among the reported putative TB targets in the literature, the identification and characterization of the most probable therapeutic targets that influence the complex infectious disease, primarily through interactions with other influenced proteins, remains a statistical and computational challenge in proteomic epidemiology. Protein interaction network analysis provides an effective way to understand the relationships between protein products of genes by interconnecting networks of essential genes and its protein-protein interactions for 5 broad functional categories in Mtb. We also investigated the substructure of the protein interaction network and focused on highly connected nodes known as cliques by giving weight to the edges using data mining algorithms. Cliques containing Sulphate assimilation and Shikimate pathway enzymes appeared continuously inspite of increasing constraints applied by the K-Core algorithm during Network Decomposition. The potential target narrowed down through Systems approaches was Prephanate Dehydratase present in the Shikimate pathway this gives an insight to develop novel potential inhibitors through Structure Based Drug Design with natural compounds.     

Decolorisation, biodegradation and detoxification of benzidine based azo dye

The present study deals with the decolorisation, biodegradation and detoxification of Direct Black-38, a benzidine based azo dye, by a mixed microbial culture isolated from an aerobic bioreactor treating textile wastewater. The studies revealed a biotransformation of Direct Black-38 into benzidine and 4-aminobiphenyl followed by complete decolorisation and biodegradation of these toxic intermediates. From cytotoxicity studies, it was concluded that detoxification of the dye took place after degradation of the toxic intermediates by the culture.     

Testing game theory models: fighting ability and decision rules in chameleon contests

Game theory models of animal contests make many non-mutually exclusive predictions, complicating empirical tests. These predictions regard the relationship between contest parameters and fighting ability, for which body size is usually used as a proxy. However, in many systems, body size may be a limited proxy since multiple traits and contextual factors such as experience influence fighting ability. Using contests between male Cape dwarf chameleons, Bradypodion pumilum, I test alternative game theory models of extended contests. I show how the most likely candidate model can be identified through a process of elimination, based on tests of key predictions. In addition, I present a measure of fighting ability based on multiple traits that allows ability to change as experience changes. In dwarf chameleons, persistence is based on loser thresholds rather than assessment of relative ability, ruling out the sequential assessment model. Winners and losers do not match behaviours in early parts of the contest, arguing against all types of war of attrition models. Although the cumulative assessment model remained as the most likely candidate model, not all specific predictions of this model were upheld.