Publications by authors named "Ryan P Connelly"

Light-up DNA aptamers are promising label-free signal-transducers for biosensing applications due to their high chemical stability and low synthetic cost. Herein, we demonstrate that a dapoxyl DNA aptamer DAP-10-42 can be converted into a sensor generating a fluorescence signal at different wavelengths in the range of 500-660 nm depending on the dye that is present. This results from the discovered promiscuity of DAP-10-42 in binding fluorogenic dyes including arylmethane dyes.

View Article and Find Full Text PDF

A visual cascade detection system has been applied to the detection and analysis of drug-resistance profile of Mycobacterium tuberculosis complex (MTC), a causative agent of tuberculosis. The cascade system utilizes highly selective split RNA-cleaving deoxyribozyme (sDz) sensors. When activated by a complementary nucleic acid, sDz releases the peroxidase-like deoxyribozyme apoenzyme, which, in complex with a hemin cofactor, catalyzes the color change of the sample's solution.

View Article and Find Full Text PDF

Hybridization probes have become an indispensable tool for nucleic acid analysis. Systematic efforts in probe optimization resulted in their improved binding affinity, turn-on ratios, and ability to discriminate single nucleotide substitutions (SNSs). The use of split (or multicomponent) probes is a promising strategy to improve probe selectivity and enable an analysis of folded analytes.

View Article and Find Full Text PDF

A colorimetric nucleic acid based test for label-free pathogen detection has been developed and used for the detection of the Zika virus. The test relies on nucleic acid sequence-based amplification (NASBA) of a viral RNA followed by interrogation of the amplicon by a cascade of deoxyribozymes constituting a visual split deoxyribozyme (vsDz) probe. The probe consists of a split phosphodiesterase deoxyribozyme, which forms its catalytic core upon binding to a specific amplicon fragment.

View Article and Find Full Text PDF

Molecular diagnostics of drug-resistant pathogens require the analysis of point mutations in bacterial or viral genomes, which is usually performed by trained professionals and/or by sophisticated computer algorithms. We have developed a DNA-based logic system that autonomously analyzes mutations found in the genome of Mycobacterium tuberculosis complex (MTC) bacteria and communicates the output to a human user as alphanumeric characters read by the naked eye. The five-gate system displays "O" ("no infection") for the absence of MTC infection and "P" or "F" for passing or failing a drug-susceptibility test, respectively.

View Article and Find Full Text PDF