Stability of the larvicidal activity of Bacillus thuringiensis subsp. israelensis: amino acid modification and denaturants.

The Bacillus thuringiensis subsp. israelensis mosquito larvicidal toxin is not a sulfhydryl-activated toxin. The protein disulfide bonds were cleaved and blocked without loss of toxicity. In contrast, modification of the lysine side chains eliminated toxicity. Additionally, the toxin was resistant to high concentrations of salt (8 M NaBr), organic solvents (40% methanol), denaturants (4 M urea), and neutral detergents (10% Triton X-100). However, it was inactivated by both positively and negatively charged detergents and by guanidine hydrochloride.     

Nuclear magnetic resonance and thermal studies of drug doped dipalmitoyl phosphatidyl choline-H2O systems

The influence of the sulfone drugs, diamino diphenyl sulfone and diamino monophenyl sulfone on the phase transitions and dynamics of dipalmitoyl phosphatidyl choline-H₂O/D₂O vesicles have been investigated using differential scanning calorimetry and nuclear magnetic resonance. Our results show that diamino diphenyl sulfone interacts quite strongly with the headgroups of dipalmitoyl phosphatidyl choline whereas the diamino monophenyl sulfone-dipalmitoyl phosphatidyl choline interaction is quite weak. This is attributed to the difference in the structure and hydrophobic character of the two drugs.     

Purification and properties of a membrane-bound insulin binding protein, a putative receptor, from Neurospora crassa.

The protein that is responsible for specific, high-affinity binding of insulin to the surface of Neurospora crassa cells has been purified to homogeneity. The insulin binding activity of solubilized plasma membranes resembled that of intact cells with regard to affinity of binding, specificity for mammalian insulins, and amount of insulin bound per cell. Insulin binding activity was purified from Triton X-100 solubilized membranes in two steps: FPLC on a MonoQ HR5/5 column; and affinity chromatography on insulin-agarose. The pure material migrated as a single band of ca. 66 kDa on SDS gels, pI = 7.4 by isoelectric focusing. The protein bound 5.34 pmol of insulin/micrograms, or 35% of that expected for univalent binding. Cross-linking of 125I-insulin to pure protein or to solubilized membranes revealed a single labeled band of 67-70 kDa on SDS gels. In nonreducing native gels, two labeled bands of ca. 55 and 110 kDa were produced after cross-linking, and two bands of similar molecular weight bound iodinated insulin after transfer to nitrocellulose filters. These may correspond to active monomer and dimer forms. The pure protein possessed no protein kinase activity against itself, or against exogenous substrates (histone H2, casein, or the synthetic peptide Glu80-Tyr20), and possessed no detectable phosphorylated amino acids. It is suggested, however, that this 66-kDa protein is the "receptor" that mediates insulin-induced downstream metabolic effects.     

Circulating tumor microemboli: Progress in molecular understanding and enrichment technologies

Circulating tumor cells (CTCs) and their clusters, also known as circulating tumor microemboli (CTM), have emerged as valuable tool that can provide mechanistic insights into the tumor heterogeneity, clonal evolution, and stochastic events within the metastatic cascade. However, recent investigations have hinted that CTM may not be mere aggregates of tumor cells but cells comprising CTM exhibit distinct phenotypic and molecular characteristics in comparison to single CTCs. Moreover, in many cases CTM demonstrated higher metastatic potential and resistance to apoptosis as compared to their single cell counterparts. Thus, their evaluation and enumeration may provide a new dimension to our understanding of cancer biology and metastatic cancer spread as well as offer novel theranostic biomarkers. Most of the existing technologies for isolation of hematogenous tumor cells largely favor single CTCs, hence there is a need to devise new approaches, or re-configure the existing ones, for specific and efficient CTM isolation. Here we review existing knowledge and insights on CTM biology. Furthermore, a critical commentary on current and emerging trends in CTM enrichment and characterization along with recently developed ex-vivo CTC expansion methodologies is presented with the aim to facilitate researchers to identify further avenues of research and development.     

Insight into the Oseltamivir Resistance R292K Mutation in H5N1 Influenza Virus: A Molecular Docking and Molecular Dynamics Approach

H5N1 is a subtype of the influenza A virus that can cause disease in humans and many other animal species. Oseltamivir (Tamiflu) is a potent and selective antiviral drug employed to fight the flu virus in infected individuals by inhibiting neuraminidase (NA), a flu protein responsible for the release and spread of the progeny virions. However, oseltamivir resistance has become a critical problem. In particular, influenza strains with a R292K NA mutation are highly resistant to the oseltamivir. Though the biological functions of the mutations have previously been characterized, the structural basis behind the reduced catalytic activity and reduced protein level is not clear. In this study, molecular docking and molecular dynamics (MD) approach were employed to investigate the structural and dynamical effects throughout the protein structure and specifically, at the drug-binding pocket. Furthermore, potential of mean force was analyzed using explicit solvent MD simulations with the umbrella sampling method to explore the free energy of binding. It is believed that this study provides valuable guidance for the resistance management of oseltamivir and designing of more potent antiviral inhibitor.     

Rapid Solubility Determination Using Vapor-Phase Osmometry

Because of the need for resource-sparing assays of the solubility of new drug candidates, we sought to develop and validate a rapid method for determining the solubility of nonvolatile pharmaceutical solids in water. Vapor-phase osmometry was used to determine the concentration of drugs in saturated solutions prepared by a rapid ultrasound-mediated dissolution protocol. The osmolality of saturated solutions as measured by the vapor-phase osmometer is an excellent predictor of the solubility of pharmaceutical solids in water. Each osmolality measurement requires less than 10 μl of saturated solution and takes less than 2 min to complete. For small-molecule drugs with solubilities greater than 10 g/kg, osmometry may prove to be a rapid and accurate method for determining the water solubilities of drugs.     

Identification of novel dysregulated circular RNAs in early-stage breast cancer

Breast cancer is a major cause of cancer-related death in women worldwide. Non-coding RNAs are a potential resource to be used as an early diagnostic biomarker for breast cancer. Circular RNAs are a recently identified group of non-coding RNA with a significant role in disease development with potential utility in diagnosis/prognosis in cancer. In this study, we identified 26 differentially expressed circular RNAs associated with early-stage breast cancer. RNA sequencing and two circRNA detection tools (find_circ and DCC) were used to understand the circRNA expression signature in breast cancer. We identified hsa_circ_0006743 (circJMJD1C) and hsa_circ_0002496 (circAPPBP1) to be significantly up-regulated in early-stage breast cancer tissues. Co-expression analysis identified four pairs of circRNA-miRNA (hsa_circ_0023990 : hsa-miR-548b-3p, hsa_circ_0016601 : hsa_miR-1246, hsa_circ_0001946 : hsa-miR-1299 and hsa_circ_0000117:hsa-miR-502-5p) having potential interaction. The miRNA target prediction and network analysis revealed mRNA possibly regulated by circRNAs. We have thus identified circRNAs of diagnostic implications in breast cancer and also observed circRNA-miRNA interaction which could be involved in breast cancer development.     

Semantic integration to identify overlapping functional modules in protein interaction networks

Background  

The systematic analysis of protein-protein interactions can enable a better understanding of cellular organization, processes and functions. Functional modules can be identified from the protein interaction networks derived from experimental data sets. However, these analyses are challenging because of the presence of unreliable interactions and the complex connectivity of the network. The integration of protein-protein interactions with the data from other sources can be leveraged for improving the effectiveness of functional module detection algorithms.