Purification,Characterization and Antibacterial Properties of Peptide from Marine Ascidian Didemnum sp.

International Journal of Peptide Research and Therapeutics - Marine ecosystems are unique and a largely diverse chest of natural resources which are still to be explored for new marine species....     

Efficacy of microalgae for industrial wastewater treatment: a review on operating conditions,treatment efficiency and biomass productivity

Sustainable, clean, renewable energy without negotiating contiguous environment is a challenging task mainly comprises of natural resource management which involves operational efficiency, waste minimisation and energy recovery. Disposal of untreated industrial wastewater with chemical nutrients especially compounds containing nitrogen and phosphorous lead to eutrophication and related environmental issues that affect the recycling processes of bio system. Biotransformation of pollutants using microalgae has proven to be proficient and economic method of wastewater treatment due to their adaptability of growing in various wastewater streams and also useful in the process of CO₂ fixation. Moreover this technology has the competence of producing bio fuels as an alternative energy resource in the form of bio diesel, bio ethanol and biogas. In this review paper, the applicability of microalgae cultivation in industrial wastewater treatment has been discussed extensively including the processes involved, influencing operational parameters such as study mode, cultivation mode and time, method of aeration, pH and intensity of light. Further, the cultivation methods, harvesting techniques involved in the treatment process have been presented. In addition, the analysis on removal efficiency of algal treatment, biomass productivity and lipid content of the cultivated biomass has been discussed widely which possibly will be helpful in adopting the process integration in industrial wastewater treatment with bio energy production.     

Identification of potential Leptospira phosphoheptose isomerase inhibitors through virtual high-throughput screening

The hfe-threatening infections caused by Leptospira serovars demand the need for designing anti-leptospirosis drugs.The present study encompasses exploring inhibitors against phosphoheptose isomerase(GmhA)of Leptospira,which is vital for lipopolysaccharide(LPS)biosynthesis and is identified as a common drug target through the subtractive genomic approach.GmhA model was built in Modeller 9v7.Structural refinement and energy minimization of the predicted model was carried out using Maestro 9.0.The refined model reliability was assessed through Procheck,ProSA,ProQ and Profile 3D.The substrate-based virtual high-throughput screening(VHTS)in Ligand.Info Meta-Database tool generated an in-house library of 354 substrate structural analogs.Furthermore,structure-based VHTS from the in-house library with different conformations of each ligand provided 14 novel competitive inhibitors.The model together with insight gained from the VHTS would be a promising starting point for developing anti-leptospirosis competitive inhibitors targeting LPS biosynthesis pathway.     

Evaluation of antitumor effects of VEGFR-2 inhibitor F16 in a colorectal xenograft model

Biotechnology Letters - Colorectal cancer (CRC) is the third most prevalent type of cancer in the United States. The treatment options for cancer include surgery, chemotherapy, radiation,...     

Phenotyping of tianma-stimulated differentiated rat neuronal b104 cells by quantitative proteomics

Gastrodia elata blume (tianma) is a traditional Chinese herb often used in the treatment of convulsions, headaches, and hypertension. Although interest in neuronal-related actions of tianma is increasing, minimal studies have been conducted to determine its specific effects on neuronal cells. This study was designed to examine the effects of tianma on the metabolism in differentiated neuroblastoma cells using the isobaric tag for relative and absolute quantitation (iTRAQ) technology. Stimulation of these cells with tianma caused changes in the expression of 38 proteins that were subsequently classified according to their physiological functions and association with neurodegenerative diseases. We identified six proteins with altered functional activities in neurodegenerative disease states that were modulated by tianma: triosephosphate isomerase (Tpi1), peptidyl-prolyl cis-trans isomerase A (Ppia), neural cell adhesion molecule 1 (Ncam1), ubiquitin carboxyl-terminal hydrolase isozyme L1 (Uchl1), septin-2 (Sept2) and heat shock protein 90 (Hsp90aa1). We postulate that tianma mediates its neuroprotective effects via upregulation of Ncam1, Hsp90aa1, Tpi1 and Ppia while downregulating Sept2 and Uchl1. These changes in protein expression aid in the restoration of the intracellular environment to a metabolically balanced state, promoting cell survival. Based on these observed data, we conclude that tianma has therapeutic potential, especially for neurodegenerative diseases.     

Tianma modulates proteins with various neuro-regenerative modalities in differentiated human neuronal SH-SY5Y cells

Tianma (Rhizoma gastrodiae) is the dried rhizome of the plant Gastrodia elata Blume (Orchidaceae family). As a medicinal herb in traditional Chinese medicine (TCM) its functions are to control convulsions, pain, headache, dizziness, vertigo, seizure, epilepsy and others. In addition, tianma is frequently used for the treatment of neurodegenerative disorders though the mechanism of action is widely unknown. Accordingly, this study was designed to examine the effects of tianma on the proteome metabolism in differentiated human neuronal SH-SY5Y cells to explore its specific effects on neuronal signaling pathways. Using an iTRAQ (isobaric tags for relative and absolute quantitation)-based proteomics research approach, we identified 2390 modulated proteins, out of which 406 were found to be altered by tianma in differentiated human neuronal SH-SY5Y cells. Based on the observed data, we hypothesize that tianma promotes neuro-regenerative signaling cascades by controlling chaperone/proteasomal degradation pathways (e.g. CALR, FKBP3/4, HSP70/90) and mobilizing neuro-protective genes (such as AIP5) as well as modulating other proteins (RTN1/4, NCAM, PACSIN2, and PDLIM1/5) with various regenerative modalities and capacities related to neuro-synaptic plasticity.     

Antioxidant activity of Arthritin--a polyherbal formulation

In complete freund's adjuvant induced arthritis in male albino rats, a significant increase in serum lipid peroxidase besides increase in paw swelling and a significant decrease in superoxide dismutase, glutathione peroxidase and total reduced glutathione levels were observed. Arthritin produced a marked reversal of these enzyme levels, besides a significant reduction in paw swelling. The results suggest that, the polyherbal formulation 'Arthritin' exerts its effects by modulating lipid peroxidation and enhancing anti-oxidant and detoxifying enzyme systems.     

In silico identification of common putative drug targets in <Emphasis Type="Italic">Leptospira interrogans</Emphasis>

Infectious diseases are the leading causes of death worldwide. Hence, there is a need to develop new antimicrobial agents. Traditional method of drug discovery is time consuming and yields a few drug targets with little intracellular information for guiding target selection. Thus, focus in drug development has been shifted to computational comparative genomics for identifying novel drug targets. Leptospirosis is a worldwide zoonosis of global concern caused by Leptospira interrogans. Availability of L. interrogans serovars and human genome sequences facilitated to search for novel drug targets using bioinformatics tools. The genome sequence of L. interrogans serovar Copenhageni has 5,124 genes while that of serovar Lai has 4,727 genes. Through subtractive genomic approach 218 genes in serovar Copenhageni and 158 genes in serovar Lai have been identified as putative drug targets. Comparative genomic approach had revealed that 88 drug targets were common to both the serovars. Pathway analysis using the Kyoto Encyclopaedia of Genes and Genomes revealed that 66 targets are enzymes and 22 are non-enzymes. Sixty two common drug targets were predicted to be localized in cytoplasm and 16 were surface proteins. The identified potential drug targets form a platform for further investigation in discovery of novel therapeutic compounds against Leptospira.