Low-shear-modeled microgravity-grown Penicillium chrysogenum -mediated biosynthesis of silver nanoparticles with enhanced antimicrobial activity and its anticancer effect in human liver cancer and fibroblast cells

Gravitational force and shear forces induce various changes in gene expression and metabolite production of microorganisms. Previous reports have shown that there are differences in the expression of different sets of proteins and enzymes under microgravity conditions compared to normal gravity. The aim of this study is to utilize culture filtrates of Penicillium chrysogenum grown under microgravity and normal conditions to synthesize silver nanoparticles and to examine whether there is any difference between their physiochemical and biological function. Synthesized nanoparticles were characterized using UV–Vis spectroscopy, FTIR, XRD, and TEM. Biological functional studies such as antimicrobial activity, cytotoxic studies, and anticancer activity were carried out. Antimicrobial activity was tested using antibiotic susceptibility testing by Kirby–Bauer method and cytotoxicity tests were carried out using 3T3-L1 normal fibroblasts cells and Hep-G2 cancer cell lines. Interestingly, our results indicated that microgravity-synthesized silver nanoparticles possess enhanced antibacterial activity and cytotoxic effect against cancer cells compared to normal gravity-synthesized silver nanoparticle. This work highlighted the importance of gravitational vector on the fungal enzyme profiles and their role in silver nanoparticle synthesis with enhanced biological activity.     

Nimbolide attenuate the lipid accumulation,oxidative stress and antioxidant in primary hepatocytes

Nimbolide is a bioactive compound found in Azadirachta indica. This work was devised to investigate the potential effects of nimbolide on intracellular lipid deposition and its associated redox modulation in primary hepatocytes (Heps). Lipid accumulation was induced in Heps by supplementing 1 mM oleic acid for 24 h which was marked by significant accumulation of lipids. The results demonstrated that nimbolide can decrease intracellular cholesterol, free fatty acids and triglycerides. Nimbolide may also improve hepatocytes function through its antioxidant effects by inhibiting oxidative DNA damage and lipid peroxidation by curtailing the reactive oxygen species levels. Further it also restore the mitochondrial potential, improving the endogenous antioxidant levels such as GSH and antioxidant enzyme activities. Nimbolide increased (P?<?0.05) liver X receptor-α (LXRα), peroxisome proliferator-activated receptor-γ (PPARγ) and sterol regulatory element-binding protein-1c (SREBP1c) gene expression in Heps. The biological significance of nimbolide may involve hypolipidemic effect, lipid peroxidation inhibition, DNA damage inhibition, ROS inhibition, restoring mitochondrial function, increases in GSH and SOD & CAT activities, and direct regulation of LXRα, PPARγ and SREBP1c gene expression. Nimbolide may be used as effective lipid lowering compound and lipid deposition-induced Heps changes.     

An immunoinformatics approach to define T cell epitopes from polyketide and non‐ribosomal peptide synthesis proteins of Mycobacterium tuberculosis as potential vaccine candidates

The role of polyketide and non‐ribosomal proteins from the class of small molecule metabolism of Mycobacterium tuberculosis is well documented in envelope organization, virulence, and pathogenesis. Consequently, the identification of T cell epitopes from these proteins could serve to define potential antigens for the development of vaccines. Fourty‐one proteins from polyketide and non‐ribosomal peptide synthesis of small molecule metabolism proteins of M tuberculosis H37Rv were analyzed computationally for the presence of HLA class I binding nanomeric peptides. All possible overlapping nanomeric peptide sequences from 41 small molecule metabolic proteins were generated through in silico and analyzed for their ability to bind to 33 alleles belonging to A, B, and C loci of HLA class I molecule. Polyketide and non‐ribosomal protein analyses revealed that 20% of generated peptides were predicted to bind HLA with halftime of dissociation T_1/2 ≥ 100 minutes, and 77% of them were mono‐allelic in their binding. The structural bases for recognition of nanomers by different HLA molecules were studied by structural modeling of HLA class I‐peptide complexes. Pathogen peptides that could mimic as self‐peptides or partially self‐peptides in the host were excluded using a comparative study with the human proteome; thus, subunit or DNA vaccines will have more chance of success.     

A System for Distinguishing Octoploid Strawberry Cultivars Using High-Throughput SNP Genotyping

Cultivated strawberry (Fragaria × ananassa) is an important commercial berry crop grown throughout the world. Improved strawberry cultivars are developed to meet the needs of consumers and breeders. Strawberries are usually propagated through runners, which sometimes lead to mislabeling or misinterpretation of cultivars. However, perfect identification of strawberry cultivars is essential for germplasm maintenance and for breeding programs. Molecular marker technology has been widely used to distinguish cultivars of other crops, but marker development in octoploid strawberries is complicated. Therefore, SNP marker with high-density and even distribution in the genome has been used currently as efficient DNA markers. In this report, previously published high-quality poly high resolution (PHR) SNPs from the 90 K Axiom® SNP array were utilized to develop a Fluidigm 24 SNPs genotyping system. Hundred nine (109) octoploid strawberry cultivars were screened using this 24 SNPs chip set. In addition, 24 SNPs were mapped to six chromosomes of diploid strawberry (Fragaria vesca). Our developed SNPs fluidigm genotyping is automatable, easy and reliable for processing and interpretation of data. Thus, this high-throughput SNP genotyping system will be a useful tool for distinguishing strawberry cultivars and find out parent-offspring relationship.     

Advances in molecular cloning

“Molecular cloning” meaning creation of recombinant DNA molecules has impelled advancement throughout life sciences. DNA manipulation has become easy due to powerful tools showing exponential growth in applications and sophistication of recombinant DNA technology. Cloning genes has become simple what led to an explosion in the understanding of gene function by seamlessly stitching together multiple DNA fragments or by the use of swappable gene cassettes, maximizing swiftness and litheness. A novel archetype might materialize in the near future with synthetic biology techniques that will facilitate quicker assembly and iteration of DNA clones, accelerating the progress of gene therapy vectors, recombinant protein production processes and new vaccines by in vitro chemical synthesis of any in silico-specified DNA construct. The advent of innovative cloning techniques has opened the door to more refined applications such as identification and mapping of epigenetic modifications and high-throughput assembly of combinatorial libraries. In this review, we will examine the major breakthroughs in cloning techniques and their applications in various areas of biological research that have evolved mainly due to easy construction of novel expression systems.     

Phylogenetic analysis of chloroplast matK gene from Zingiberaceae for plant DNA barcoding

MaturaseK gene (MatK) of chloroplast is highly conserved in plant systematics which is involved in Group II intron splicing. The size of the gene is 1500 bp in length, located with in the intron of trnK. In the present study, matK gene from Zingiberaceae was taken for the analysis of variants, parsimony site, patterns, transition/tranversion rates and phylogeny. The family of Zingiberaceae comprises 47 genera with medicinal values. The matK gene sequence have been obtained from genbank and used for the analysis. The sequence alignments were performed by Clustal X, transition/transversion rates were predicted by MEGA and phylogenetic analyses were carried out by PHYLIP package. The result indicates that the Zingiberaceae genus Afromonum, Alpinia, Globba, Curcuma and Zingiber shows polyphylogeny. The overall variants between the species are 24% and transition/transversion rate is 1.54. Phylogenetic tree was designed to identify the ideal regions that could be used for defining the inter and intera-generic relationships. From this study it could be concluded that the matK gene is a good candidate for DNA barcoding of plant family Zingiberaceae.     

Molecular modeling of human neutral sphingomyelinase provides insight into its molecular interactions

The neutral sphingomyelinase (N-SMase) is considered a major candidate for mediating the stress-induced production of ceramide, and it plays an important role in cell-cycle arrest, apoptosis, inflammation, and eukaryotic stress responses. Recent studies have identified a small region at the very N-terminus of the 55 kDa tumour necrosis factor receptor (TNF-R55), designated the neutral sphingomyelinase activating domain (NSD) that is responsible for the TNF-induced activation of N-SMase. There is no direct association between TNF-R55 NSD and N-SMase; instead, a protein named factor associated with N-SMase activation (FAN) has been reported to couple the TNF-R55 NSD to N-SMase. Since the three-dimensional fold of N-SMase is still unknown, we have modeled the structure using the protein fold recognition and threading method. Moreover, we propose models for the TNF-R55 NSD as well as the FAN protein in order to study the structural basis of N-SMase activation and regulation. Protein-protein interaction studies suggest that FAN is crucially involved in mediating TNF-induced activation of the N-SMase pathway, which in turn regulates mitogenic and proinflammatory responses. Inhibition of N-SMase may lead to reduction of ceramide levels and hence may provide a novel therapeutic strategy for inflammation and autoimmune diseases. Molecular dynamics (MD) simulations were performed to check the stability of the predicted model and protein-protein complex; indeed, stable RMS deviations were obtained throughout the simulation. Furthermore, in silico docking of low molecular mass ligands into the active site of N-SMase suggests that His135, Glu48, Asp177, and Asn179 residues play crucial roles in this interaction. Based on our results, these ligands are proposed to be potent and selective N-SMase inhibitors, which may ultimately prove useful as lead compounds for drug development.