Protein lysine methyltransferase G9a acts on non-histone targets

By methylation of peptide arrays, we determined the specificity profile of the protein methyltransferase G9a. We show that it mostly recognizes an Arg-Lys sequence and that its activity is inhibited by methylation of the arginine residue. Using the specificity profile, we identified new non-histone protein targets of G9a, including CDYL1, WIZ, ACINUS and G9a (automethylation), as well as peptides derived from CSB. We demonstrate potential downstream signaling pathways for methylation of non-histone proteins.     

Optimization of extracellular thermotolerant alkaline protease produced by marine <Emphasis Type="Italic">Roseobacter</Emphasis> sp. (MMD040)

Marine endosymbiontic Roseobacter sp. (MMD040), which produced high yields of protease, was isolated from marine sponge Fasciospongia cavernosa, collected from the peninsular coast of India. Maximum production of enzyme was obtained in Luria-Bertani broth. Catabolite repression was observed when the medium was supplemented with readily available carbon sources. The optimum temperature and pH for the enzyme production was 37 degrees C and 7.0, respectively. The enzyme exhibited maximum activity in pH range of 6-9 with an optimum pH of 8.0 and retained nearly 92.5% activity at pH 9.0. The enzyme was stable at 40 degrees C and showed 89% activity at 50 degrees C. Based on the present findings, the enzyme was characterized as thermotolerant alkaline protease, which can be developed for industrial applications.     

Genetic diversity of native bradyrhizobia isolated from soybeans (Glycine max L.) in different agricultural-ecological-climatic regions of India

Fifty isolates from root nodules of soybean plants sampled in five agricultural-ecological-climatic regions of India were analyzed by PCR-restriction fragment length polymorphism analysis of the 16S rRNA gene, the intergenic spacer region between the 16S and 23S rRNA genes (IGS), and the nifH and nodC genes. Eight haplotypes assigned to the Bradyrhizobium genus were identified, and the genetic diversity was conserved across regions. Sequence analyses of the IGS and the dnaK, glnII, recA, and nifH genes revealed three groups. One of them (26% of isolates) was assigned to Bradyrhizobium liaoningense. A second group (36% of isolates) was identified as B. yuanmingense but likely forms a new biovar able to nodulate soybean plants. The third lineage (38% of isolates) was different from all described Bradyrhizobium species but showed the same symbiotic genotype as B. liaoningense and B. japonicum bv. glycinearum.     

pH variations during diafiltration due to buffer nonidealities

Diafiltration is used for final formulation of essentially all biotherapeutics. Several studies have demonstrated that buffer/excipient concentrations in the final diafiltered product can be different than that in the diafiltration buffer due to interactions between buffer species and the protein product. However, recent work in our lab has shown variations in solution pH that are largely independent of the protein concentration during the first few diavolumes. Our hypothesis is that these pH variations are due to nonidealities in the acid‐base equilibrium coefficient. A model was developed for the diafiltration process accounting for the ionic strength dependence of the pK_a. Experimental results obtained using phosphate and histidine buffers were in excellent agreement with model predictions. A decrease in ionic strength leads to an increase in the pK_a for the phosphate buffer, causing a shift in the solution pH, even under conditions where the initial feed and the diafiltration buffer are at the same pH. This effect could be eliminated by matching the ionic strength of the feed and diafiltration buffer. The experimental data and model provide new insights into the factors controlling the pH profile during diafiltration processes. © 2017 American Institute of Chemical Engineers Biotechnol. Prog., 33:1555–1560, 2017     

Crumpled structure of the custom hydrophobic lytic peptide cecropin B3.

The solution structure of a custom lytic peptide, cecropin B3 (CB3), having two identical hydrophobic segments on both the N- and C-termini, was investigated by two-dimensional NMR spectroscopy. The need to determine the structure of this peptide is rooted in its specific ability to lyse lipid layers that have a high content of anionic lipid. The lytic activities of CB3 on cell membranes including cancer cells and bacteria is found to be less than cecropin B1. The results show that CB3 has four discrete segments forming alpha helical structures. The crumpled structure of CB3 provides evidence for the lysis of the lipid layer being via a pathway that differs from pore formation. The results in this study provide strong clues towards a rational design for a potent antimicrobial and antitumor peptide.     

Protein structure and fold prediction using Tree-Augmented naïve Bayesian classifier

Due to the large volume of protein sequence data, computational methods to determine the structure class and the fold class of a protein sequence have become essential. Several techniques based on sequence similarity, Neural Networks, Support Vector Machines (SVMs), etc. have been applied. Since most of these classifiers use binary classifiers for multi-classification, there may be (N) c2 classifiers required. This paper presents a framework using the Tree-Augmented Bayesian Networks (TAN) which performs multi-classification based on the theory of learning Bayesian Networks and using improved feature vector representation of (Ding et al., 2001). In order to enhance TAN's performance, pre-processing of data is done by feature discretization and post-processing is done by using Mean Probability Voting (MPV) scheme. The advantage of using Bayesian approach over other learning methods is that the network structure is intuitive. In addition, one can read off the TAN structure probabilities to determine the significance of each feature (say, hydrophobicity) for each class, which helps to further understand the complexity in protein structure. The experiments on the datasets used in three prominent recent works show that our approach is more accurate than other discriminative methods. The framework is implemented on the BAYESPROT web server and it is available at http://www-appn.comp.nus.edu.sg/~bioinfo/bayesprot/Default.htm. More detailed results are also available on the above website.     

Effect of spirulina and Liv-52 on cadmium induced toxicity in albino rats

Oral administration of cadmium (6mg/kg body weight/day) as cadmium chloride (CdCl2) for 30 days resulted in a significant increase in thiobarbituric acid reactive substances (TBARS) level and a decrease in the levels of copper, zinc, iron, selenium, glutathione, superoxide dismutase, catalase, glutathione peroxidase when compared to normal control. Administration of either Liv-52 alone or in combination with spirulina produced a well pronounced protective effect in respect to these parameters in cadmium intoxicated rats. The protective effect of spirulina and Liv-52 in respect to biochemical changes were also confirmed by histopathological study in the liver and kidney sections.     

Molecular characterization of AmiC,a positive regulator in acetamidase operon of <Emphasis Type="Italic">Mycobacterium smegmatis</Emphasis>

Mycobacterium smegmatis, a rapidly growing non-pathogenic mycobacterium, is currently used as a model organism to study mycobacterial genetics. Acetamidase of M. smegmatis is the highly inducible enzyme of Mycobacteria, which utilizes several amide compounds as sole carbon and nitrogen sources. The acetamidase operon has a complex regulatory mechanism, which involves three regulatory proteins, four promoters, and three operator elements. In our previous study, we showed that over-expression of AmiA leads to a negative regulation of acetamidase by blocking the P2 promoter. In this study, we have identified a new positive regulatory protein, AmiC that interacts with AmiA through protein-protein interaction. Gel mobility shift assay showed that AmiC protein inhibits AmiA from binding to the P2 promoter. Interaction of AmiC with cis-acting elements identified its binding ability to multiple regulatory regions of the operon such as P3, OP3, and P1 promoter/operator. Consequently, the addition of inducer acetamide to AmiC complexe trips the complexes, causing AmiC to appear to be the sensory protein for the amides. Homology modeling and molecular docking studies suggest AmiC as a member of Periplasmic binding proteins, which preferentially bind to the inducers and not to the suppressor. Over-expression of AmiC leads to down-regulation of the negative regulator, amiA, and constitutive up-regulation of acetamidase. Based on these findings, we conclude that AmiC positively regulates the acetamidase operon.