Development of a realtime RT-PCR assay for the rapid detection of influenza A(H2) viruses

Many potential pathways to future pandemic influenza

Although influenza A viruses have caused pandemics for centuries, future pandemics cannot be predicted with our current understanding and resources. Concern about an H5N1 avian influenza pandemic has caused alarm since 1997, but there are many other possible routes to pandemic influenza.

Toward a Home Test for COVID 19 Diagnosis: DNA Machine for Amplification-Free SARS-CoV-2 Detection in Clinical Samples

Nucleic acid-based detection of RNA viruses requires annealing procedure to obtain RNA/probe or RNA/primer complexes for unwinding stable structure of folded viral RNA. In this study, we designed a protein enzymes-free nano-construction, names four-armed DNA machine (4DNM), that requires neither amplification stage nor high temperature annealing step for SARS-CoV-2 detection. It uses binary deoxyribozyme (BiDz) sensor incorporated in a DNA nanostructure equipped with total of four RNA-binding arms. Additional arms improved limit of detection at least 10 times. The sensor distinguished SARS-CoV-2 from other respiratory viruses and correctly identified five positive and six negative clinical samples verified by quantitative polymerase chain reaction (RT-qPCR). The strategy reported here can be used for detection of long natural RNA and can become a basis for a point-of-care or home diagnostic test.

Designing sensitive viral diagnostics with machine learning

Design of nucleic acid-based viral diagnostics typically follows heuristic rules and, to contend with viral variation, focuses on a genome's conserved regions. A design process could, instead, directly optimize diagnostic effectiveness using a learned model of sensitivity for targets and their variants. Toward that goal, we screen 19,209 diagnostic-target pairs, concentrated on CRISPR-based diagnostics, and train a deep neural network to accurately predict diagnostic readout. We join this model with combinatorial optimization to maximize sensitivity over the full spectrum of a virus's genomic variation. We introduce Activity-informed Design with All-inclusive Patrolling of Targets (ADAPT), a system for automated design, and use it to design diagnostics for 1,933 vertebrate-infecting viral species within 2 hours for most species and within 24 hours for all but three. We experimentally show that ADAPT's designs are sensitive and specific to the lineage level and permit lower limits of detection, across a virus's variation, than the outputs of standard design techniques. Our strategy could facilitate a proactive resource of assays for detecting pathogens.

Development and application of a real-time RT-PCR assay to rapidly detect H2 subtype avian influenza A viruses

The H2 subtypes of avian influenza A viruses (avian IAVs) have been circulating in poultry, and they have the potential to infect humans. Therefore, establishing a method to quickly detect this subtype is pivotal. We developed a TaqMan minor groove binder real-time RT-PCR assay that involved probes and primers based on conserved sequences of the matrix and hemagglutinin genes. The detection limit of this assay was as low as one 50% egg infectious dose (EID₅₀)/mL per reaction. This assay is specific, sensitive, and rapid for detecting avian IAV H2 subtypes.