Microfluidics-Based Nanobiosensors for Healthcare Monitoring.

Efficient healthcare management demands prompt decision-making based on fast diagnostics tools, astute data analysis, and informatics analysis. The rapid detection of analytes at the point of care is ensured using microfluidics in synergy with nanotechnology and biotechnology. The nanobiosensors use nanotechnology for testing, rapid disease diagnosis, monitoring, and management. In essence, nanobiosensors detect biomolecules through bioreceptors by modulating the physicochemical signals generating an optical and electrical signal as an outcome of the binding of a biomolecule with the help of a transducer. The nanobiosensors are sensitive and selective and play a significant role in the early identification of diseases. This article reviews the detection method used with the microfluidics platform for nanobiosensors and illustrates the benefits of combining microfluidics and nanobiosensing techniques by various examples. The fundamental aspects, and their application are discussed to illustrate the advancement in the development of microfluidics-based nanobiosensors and the current trends of these nano-sized sensors for point-of-care diagnosis of various diseases and their function in healthcare monitoring.

Recent advances in enzymatic biosensors for point-of-care detection of biomolecules.

Late state-of-the-art analytical methodologies in chromatography, spectroscopy, and electroanalysis have been developed to meet the challenges of changing environmental and health issues. The modern trends in developing new protocols emphasize economic, portable, nano, or even smaller sample sizes and less time-consuming processes. This has led to the development of technology-based biosensors which meet most of the above requirements. The lab-on-chip technology exploiting enzyme-based biosensors has made the analytical processes very efficient, accurate, affordable, and requiring nano-scale sample sizes. In this review, an attempt is being made to review the literature based on state-of-the-art technology of enzyme-based biosensors for the detection of biomolecules.

Next generation sequencing and microbiome's taxonomical characterization of frozen soil of north western Himalayas of Jammu and Kashmir, India

BACKGROUND: Traditionally, microbial genome sequencing has been restrained to the species grown in pure culture. The development of culture-independent techniques over the last decade allows scientists to sequence microbial communities directly from environmental samples. Metagenomics is the study of complex genome by the isolation of DNA of the whole community. Next generation sequencing (NGS) of metagenomic DNA gives information about the microbial and taxonomical characterization of a particular niche. The objective of the present research is to study the microbial and taxonomical characterization of the metagenomic DNA, isolated from the frozen soil sample of a glacier in the north western Himalayas through NGS. RESULTS: The glacier community comprised of 16 phyla with the representation of members belonging to Proteobacteria and Acidobacteria. The number of genes annotated through the Kyoto Encyclopedia of Genes and Genomes (KEGG), GO, Pfam, Clusters of Orthologous Groups of proteins (COGs), and FIG databases were generated by COGNIZER. The annotation of genes assigned in each group from the metagenomics data through COG database and the number of genes annotated in different pathways through KEGG database were reported. CONCLUSION: Results indicate that the glacier soil taken in the present study, harbors taxonomically and metabolically diverse communities. The major bacterial group present in the niche is Proteobacteria followed by Acidobacteria, and Actinobacteria, etc. Different genes were annotated through COG and KEGG databases that integrate genomic, chemical, and systemic functional information.

A hydrolase with esterase activity expressed from a fosmid gene bank prepared from DNA of a North West Himalayan glacier frozen soil sample.

Screening of 20,000 clones of a fosmid gene bank, constructed from DNA extracted from North West Himalaya (NWH) glacier soil sample, using functional approach identified 10 esterase/lipase-producing clones. Of these, a clone designated pFG43 with an insert size of 45 kb which produced the highest concentration of enzyme (467.43 U/mg) was sequenced. Clone pFG43 contained 61 open reading frames (ORF) and of these an ORF of 1155 bp designated ME-003, was found to be closely related to a hydrolase from Acidobacteria sps (77% sequence identity and E value = 1e-164) and subsequently identified as a putative cocaine esterase. ORF ME-003 was amplified and sub-cloned using a TA vector system into E. coli (DH5α). The purified recombinant enzyme with a molecular weight of 43 kDa had optimal activity at 40 °C, pH 6 and the highest activity with shorter chain fatty acids than with higher chain length fatty acids. There is insignificant effect of inhibitors on the enzyme activity of ME-003, except PMSF which completely inhibited its activity. ME-003 activity was also inhibited in the presence of copper oxide but remained stable in presence of other metal ions. The enzyme activity was also inhibited in the presence of organic solvents; however, in the presence of 10% isopropanol, 12% of enzymatic activity was retained. Among various detergents, SDS completely inhibited enzymatic activity. The recombinant enzyme also shows enantio-specific activity against the racemic drug intermediates/precursors and exhibited 90% ee against racemic 1-phenyl ethanol and fluoxetine.