Recognition of dual targets by a molecular beacon-based sensor: subtyping of influenza A virus

A versatile fluorescent nanobeacon lighted by DNA-templated copper nanoparticles and the application in isothermal amplification detection

In this work, an environmentally-friendly and versatile nanobeacon was constructed by utilizing DNA-templated copper nanoparticles (CuNPs) as fluorescence signal source. As the key component of the nanobeacon, a hairpin DNA was designed to contain four segments: two segments for CuNPs template sequence, a target recognition segment and a blocking segment. At room temperature, the target recognition segment partly hybridizes with the blocking segment and thus prohibits the formation of double stranded DNA template, so that no CuNPs can be generated on the hairpin DNA. While a target is introduced, the specific binding of target with recognition sequence triggers off the conformational transformation of the hairpin DNA, which contributes to the formation of the CuNPs template. As a result, the in-situ generation of CuNPs gives birth to the fluorescence signal readout that can be used to identify the target. By reasonably varying the recognition sequence within hairpin DNA, a series of nanobeacons in response to corresponding targets, such as DNA, microRNA, thrombin, and ATP, were put forward with satisfactory sensitivity and selectivity. Moreover, this nanobeacon was also integrated with the strategy of enzyme-assisted target-recycling to realize signal amplification and ultrasensitive detection, which further demonstrated the versatility of the nanobeacon. This novel nanobeacon is expected to be a promising alternative to classical dye-labeled molecular beacon and provide new perspective on ultrasensitive fluorescence sensing.

Optical Biosensor Platforms Display Varying Sensitivity for the Direct Detection of Influenza RNA

Detection methods that do not require nucleic acid amplification are advantageous for viral diagnostics due to their rapid results. These platforms could provide information for both accurate diagnoses and pandemic surveillance. Influenza virus is prone to pandemic-inducing genetic mutations, so there is a need to apply these detection platforms to influenza diagnostics. Here, we analyzed the Fast Evaluation of Viral Emerging Risks (FEVER) pipeline on ultrasensitive detection platforms, including a waveguide-based optical biosensor and a flow cytometry bead-based assay. The pipeline was also evaluated in silico for sequence coverage in comparison to the U.S. Centers for Disease Control and Prevention's (CDC) influenza A and B diagnostic assays. The influenza FEVER probe design had a higher tolerance for mismatched bases than the CDC's probes, and the FEVER probes altogether had a higher detection rate for influenza isolate sequences from GenBank. When formatted for use as molecular beacons, the FEVER probes detected influenza RNA as low as 50 nM on the waveguide-based optical biosensor and 1 nM on the flow cytometer. In addition to molecular beacons, which have an inherently high background signal we also developed an exonuclease selection method that could detect 500 pM of RNA. The combination of high-coverage probes developed using the FEVER pipeline coupled with ultrasensitive optical biosensors is a promising approach for future influenza diagnostic and biosurveillance applications.

Nucleic Acid-Based Sensing Techniques for Diagnostics and Surveillance of Influenza

Influenza virus poses a threat to global health by causing seasonal outbreaks as well as three pandemics in the 20th century. In humans, disease is primarily caused by influenza A and B viruses, while influenza C virus causes mild disease mostly in children. Influenza D is an emerging virus found in cattle and pigs. To mitigate the morbidity and mortality associated with influenza, rapid and accurate diagnostic tests need to be deployed. However, the high genetic diversity displayed by influenza viruses presents a challenge to the development of a robust diagnostic test. Nucleic acid-based tests are more accurate than rapid antigen tests for influenza and are therefore better candidates to be used in both diagnostic and surveillance applications. Here, we review various nucleic acid-based techniques that have been applied towards the detection of influenza viruses in order to evaluate their utility as both diagnostic and surveillance tools. We discuss both traditional as well as novel methods to detect influenza viruses by covering techniques that require nucleic acid amplification or direct detection of viral RNA as well as comparing advantages and limitations for each method. There has been substantial progress in the development of nucleic acid-based sensing techniques for the detection of influenza virus. However, there is still an urgent need for a rapid and reliable influenza diagnostic test that can be used at point-of-care in order to enhance responsiveness to both seasonal and pandemic influenza outbreaks.

Biosensors for the detection of respiratory viruses: A review

The recent events of outbreaks related to different respiratory viruses in the past few years, exponentiated by the pandemic caused by the coronavirus disease 2019 (COVID-19), reported worldwide caused by SARS-CoV-2, raised a concern and increased the search for more information on viruses-based diseases. The detection of the virus with high specificity and sensitivity plays an important role for an accurate diagnosis. Despite the many efforts to identify the SARS-CoV-2, the diagnosis still relays on expensive and time-consuming analysis. A fast and reliable alternative is the use of low-cost biosensor for in loco detection. This review gathers important contributions in the biosensor area regarding the most current respiratory viruses, presents the advances in the assembly of the devices and figures of merit. All information is useful for further biosensor development for the detection of respiratory viruses, such as for the new coronavirus.

Detecting Biothreat Agents: From Current Diagnostics to Developing Sensor Technologies

Although a fundamental understanding of the pathogenicity of most biothreat agents has been elucidated and available treatments have increased substantially over the past decades, they still represent a significant public health threat in this age of (bio)terrorism, indiscriminate warfare, pollution, climate change, unchecked population growth, and globalization. The key step to almost all prevention, protection, prophylaxis, post-exposure treatment, and mitigation of any bioagent is early detection. Here, we review available methods for detecting bioagents including pathogenic bacteria and viruses along with their toxins. An introduction placing this subject in the historical context of previous naturally occurring outbreaks and efforts to weaponize selected agents is first provided along with definitions and relevant considerations. An overview of the detection technologies that find use in this endeavor along with how they provide data or transduce signal within a sensing configuration follows. Current "gold" standards for biothreat detection/diagnostics along with a listing of relevant FDA approved in vitro diagnostic devices is then discussed to provide an overview of the current state of the art. Given the 2014 outbreak of Ebola virus in Western Africa and the recent 2016 spread of Zika virus in the Americas, discussion of what constitutes a public health emergency and how new in vitro diagnostic devices are authorized for emergency use in the U.S. are also included. The majority of the Review is then subdivided around the sensing of bacterial, viral, and toxin biothreats with each including an overview of the major agents in that class, a detailed cross-section of different sensing methods in development based on assay format or analytical technique, and some discussion of related microfluidic lab-on-a-chip/point-of-care devices. Finally, an outlook is given on how this field will develop from the perspective of the biosensing technology itself and the new emerging threats they may face.

A mutation-resistant deoxyribozyme OR gate for highly selective detection of viral nucleic acids

Highly selective probes hybridize only to fully complementary DNA or RNA sequences and, therefore, often fail to recognize mutated viral genomes. Here we designed a probe that possesses two seemingly incompatible properties: it tolerates some point mutations in genome, while it remains selective towards others. An OR deoxyribozyme logic gate was designed to fluorescently report the sequences of enterovirus 71 (EV71) covering ∼90% of all known EV71 strains. Importantly, sequences of closely related coxsackieviruses that differed by single nucleotides were reliably differentiated in 7 out of 8 cases.

Time-Gated FRET and DNA-Based Photonic Molecular Logic Gates: AND, OR, NAND, and NOR

Molecular logic devices (MLDs) constructed from DNA are promising for applications in bioanalysis, computing, and other applications requiring Boolean logic. These MLDs accept oligonucleotide inputs and generate fluorescence output through changes in structure. Although fluorescent dyes are most common in MLD designs, nontraditional luminescent materials with unique optical properties can potentially enhance MLD capabilities. In this context, luminescent lanthanide complexes (LLCs) have been largely overlooked. Here, we demonstrate a set of high-contrast DNA photonic logic gates based on toehold-mediated strand displacement and time-gated FRET. The gates include NAND, NOR, OR, and AND designs that accept two unlabeled target oligonucleotide sequences as inputs. Bright "true" output states utilize time-gated, FRET-sensitized emission from an Alexa Fluor 546 (A546) dye acceptor paired with a luminescent terbium cryptate (Tb) donor. Dark "false" output states are generated through either displacement of the A546, or through competitive and sequential quenching of the Tb or A546 by a dark quencher. Time-gated FRET and the long luminescence lifetime and spectrally narrow emission lines of the Tb donor enable 4-10-fold contrast between Boolean outputs, ≤10% signal variation for a common output, multicolor implementation of two logic gates in parallel, and effective performance in buffer and serum. These metrics exceed those reported for many other logic gate designs with only fluorescent dyes and with other non-LLC materials. Preliminary three-input AND and NAND gates are also demonstrated. The powerful combination of an LLC FRET donor with DNA-based logic gates is anticipated to have many future applications in bioanalysis.