Multiplex Solid-Phase Melt Curve Analysis for the Point-of-Care Detection of HIV-1 Drug Resistance.

A point-of-care HIV-1 genotypic resistance assay that could be performed during a clinic visit would enable care providers to make informed treatment decisions for patients starting therapy or experiencing virologic failure on therapy. The main challenge for such an assay is the genetic variability at and surrounding each drug-resistance mutation (DRM). We analyzed a database of diverse global HIV sequences and used thermodynamic simulations to design an array of surface-bound oligonucleotide probe sets with each set sharing distinct 5' and 3' flanking sequences but having different centrally located nucleotides complementary to six codons at HIV-1 DRM reverse transcriptase position 103: AAA, AAC, AAG, AAT, AGA, and AGC. We then performed in vitro experiments using 80-mer oligonucleotides and PCR-amplified DNA from clinical plasma HIV-1 samples and culture supernatants that contained subtype A, B, C, D, CRF01_AE, and CRF02_AG viruses. Multiplexed solid-phase melt curve analysis discriminated perfectly among each of the six reported reverse transcriptase position 103 codons in both 80-mers and clinical samples. The sensitivity and specificity for detecting targets that contained AAC mixed with targets that contained AAA were >98% when AAC was present at a proportion of ≥10%. Multiplexed solid-phase melt curve analysis is a promising approach for developing point-of-care assays to distinguish between different codons in genetically variable regions such as those surrounding HIV-1 DRMs.

Multiplexed identification, quantification and genotyping of infectious agents using a semiconductor biochip.

The emergence of pathogens resistant to existing antimicrobial drugs is a growing worldwide health crisis that threatens a return to the pre-antibiotic era. To decrease the overuse of antibiotics, molecular diagnostics systems are needed that can rapidly identify pathogens in a clinical sample and determine the presence of mutations that confer drug resistance at the point of care. We developed a fully integrated, miniaturized semiconductor biochip and closed-tube detection chemistry that performs multiplex nucleic acid amplification and sequence analysis. The approach had a high dynamic range of quantification of microbial load and was able to perform comprehensive mutation analysis on up to 1,000 sequences or strands simultaneously in <2 h. We detected and quantified multiple DNA and RNA respiratory viruses in clinical samples with complete concordance to a commercially available test. We also identified 54 drug-resistance-associated mutations that were present in six genes of Mycobacterium tuberculosis, all of which were confirmed by next-generation sequencing.

An array-based melt curve analysis method for the identification and classification of closely related pathogen strains.

PCR-based techniques are widely used to identify disease causing bacterial and viral pathogens, especially in point-of-care or near-patient clinical settings that require rapid results and sample-to-answer workflows. However, such techniques often fail to differentiate between closely related species that have highly variable genomes. Here, a homogenous (closed-tube) pathogen identification and classification method is described that combines PCR amplification, array-based amplicon sequence verification, and real-time detection using an inverse fluorescence fluorescence-resonance energy transfer technique. The amplification is designed to satisfy the inclusivity criteria and create ssDNA amplicons, bearing a nonradiating quencher moiety at the 5'-terminus, for all the related species. The array includes fluorescent-labeled probes which preferentially capture the variants of the amplicons and classify them through solid-phase thermal denaturing (melt curve) analysis. Systematic primer and probe design algorithms and empirical validation methods are presented and successfully applied to the challenging example of identification of, and differentiation between, closely related human rhinovirus and human enterovirus strains.

A molecular docking study of anticancer drug paclitaxel and its analogues.

Present study was aimed at finding a better alternative to paclitaxel, an anticancer chemotherapeutic drug. Two targets, tubulin beta-1 chain and apoptosis regulator Bcl-2 protein (202F) were used in the study. Of these, structure of tubulin beta-1 chain is not known and that of Bcl-2 was taken from protein data bank with ID 202F. Tertiary structure model of tubulin beta-1 chain was predicted and validated. The validated 3D structure of tubulin beta-1 chain and Bcl-2 protein was taken to study their interaction with paclitaxel. Molecular docking of paclitaxel and its analogues was performed with these targets separately. Results showed that out of 84 analogues taken from PubChem, CID_44322802 had glide score of -9.62, as compared to -5.86 of paclitaxel with tubulin beta-1 chain. It was also observed that CID_9919057 had glide score of -9.0, as compared to -8.24 of paclitaxel with Bcl-2 protein. However, further experimental and clinical verification is needed to establish these analogues as drug.