Nucleic Acid-based Detection Research Articles

Current State of Molecular and Serological Methods for Detection of Porcine Epidemic Diarrhea Virus.

Porcine epidemic diarrhea virus (PEDV), a member of the Coronaviridae family, is the etiological agent of an acute and devastating enteric disease that causes moderate-to-high mortality in suckling piglets. The accurate and early detection of PEDV infection is essential for the prevention and control of the spread of the disease. Many molecular assays have been developed for the detection of PEDV, including reverse-transcription polymerase chain reaction (RT-PCR), real-time RT-PCR (qRT-PCR) and loop-mediated isothermal amplification assays. Additionally, several serological methods have been developed and are widely used for the detection of antibodies against PEDV. Some of them, such as the immunochromatography assay, can generate results very quickly and in field conditions. Molecular assays detect viral RNA in clinical samples rapidly, and with high sensitivity and specificity. Serological assays can determine prior immune exposure to PEDV, can be used to monitor the efficacy of vaccination strategies and may help to predict the duration of immunity in piglets. However, they are less sensitive than nucleic acid-based detection methods. Sanger and next-generation sequencing (NGS) allow the analysis of PEDV cDNA or RNA sequences, and thus, provide highly specific results. Furthermore, NGS based on nonspecific DNA cleavage in clustered regularly interspaced short palindromic repeats (CRISPR)–Cas systems promise major advances in the diagnosis of PEDV infection. The objective of this paper was to summarize the current serological and molecular PEDV assays, highlight their diagnostic performance and emphasize the advantages and drawbacks of the application of individual tests.

Research progress of CRISPR-based biosensors and bioassays for molecular diagnosis.

CRISPR/Cas technology originated from the immune mechanism of archaea and bacteria and was awarded the Nobel Prize in Chemistry in 2020 for its success in gene editing. Molecular diagnostics is highly valued globally for its development as a new generation of diagnostic technology. An increasing number of studies have shown that CRISPR/Cas technology can be integrated with biosensors and bioassays for molecular diagnostics. CRISPR-based detection has attracted much attention as highly specific and sensitive sensors with easily programmable and device-independent capabilities. The nucleic acid-based detection approach is one of the most sensitive and specific diagnostic methods. With further research, it holds promise for detecting other biomarkers such as small molecules and proteins. Therefore, it is worthwhile to explore the prospects of CRISPR technology in biosensing and summarize its application strategies in molecular diagnostics. This review provides a synopsis of CRISPR biosensing strategies and recent advances from nucleic acids to other non-nucleic small molecules or analytes such as proteins and presents the challenges and perspectives of CRISPR biosensors and bioassays.

CRISPR-Based Programmable Nucleic Acid-Binding Protein Technology Can Specifically Detect Fatal Tropical Disease-Causing Pathogens.

Diagnostic approaches capable of ultrasensitive pathogen detection from low-volume clinical samples, running without any sophisticated instrument and laboratory setup, are easily field-deployable, inexpensive, and rapid, and are considered ideal for monitoring disease progression and surveillance. However, standard pathogen detection methods, including culture and microscopic observation, antibody-based serologic tests, and primarily polymerase chain reaction (PCR)-oriented nucleic acid screening techniques, have shortcomings that limit their widespread use in responding to outbreaks and regular diagnosis, especially in remote resource-limited settings (RLSs). Recently, clustered regularly interspaced short palindromic repeats (CRISPR)-based programmable technology has emerged to challenge the unmet criteria of conventional methods. It consists of CRISPR-associated proteins (Cas) capable of targeting virtually any specific RNA or DNA genome based on the guide RNA (gRNA) sequence. Furthermore, the discovery of programmable trans-cleavage Cas proteins like Cas12a and Cas13 that can collaterally damage reporter-containing single-stranded DNA or RNA upon formation of target Cas-gRNA complex has strengthened this technology with enhanced sensitivity. Current advances, including automated multiplexing, ultrasensitive single nucleotide polymorphism (SNP)-based screening, inexpensive paper-based lateral flow readouts, and ease of use in remote global settings, have attracted the scientific community to introduce this technology in nucleic acid-based precise detection of bacterial and viral pathogens at the point of care (POC). This review highlights CRISPR-Cas-based molecular technologies in diagnosing several tropical diseases, namely malaria, zika, chikungunya, human immunodeficiency virus and acquired immunodeficiency syndrome (HIV-AIDS), tuberculosis (TB), and rabies.

Enhancement of CRISPR/Cas12a trans-cleavage activity using hairpin DNA reporters.

The RNA programmed non-specific (trans) nuclease activity of CRISPR-Cas Type V and VI systems has opened a new era in the field of nucleic acid-based detection. Here, we report on the enhancement of trans-cleavage activity of Cas12a enzymes using hairpin DNA sequences as FRET-based reporters. We discover faster rate of trans-cleavage activity of Cas12a due to its improved affinity (Km) for hairpin DNA structures, and provide mechanistic insights of our findings through Molecular Dynamics simulations. Using hairpin DNA probes we significantly enhance FRET-based signal transduction compared to the widely used linear single stranded DNA reporters. Our signal transduction enables faster detection of clinically relevant double stranded DNA targets with improved sensitivity and specificity either in the presence or in the absence of an upstream pre-amplification step.

Abstract 1138: Detection of genetically engineered iPSC-derived natural killer cells in blood and tissue

Abstract Immune cell therapies derived from induced pluripotent stem cells (iPSC) provide a novel opportunity for the treatment of multiple cancer types. Assessment of the persistence and biodistribution of these product candidates requires specific and sensitive methods to detect engineered cells in both liquid and solid biopsies. Here, we present the development and validation of two complimentary nucleic acid-based detection assays for iPSC-derived natural killer (iNK) cell product candidates containing Fate’s proprietary high-affinity, non-cleavable CD16 transgene (hnCD16). The first assay is a droplet digital PCR (ddPCR) method to detect and quantify hnCD16 transgene copies present in a pool of genomic DNA (gDNA). The primers and probe were designed to recognize the optimized codons of hnCD16. Assay linearity and accuracy were assessed through titration studies using 0.024 to 1 ng of hnCD16-containing DNA spiked into different amounts of hnCD16-negative gDNA. Precision was determined through multiple assay runs by different operators on two instruments. The second assay is an in situ hybridization based method utilizing RNAscope࣪ technology to detect cells expressing hnCD16 in fixed tissue. Probes targeting hnCD16 were used to optimize signal specificity. Cells expressing hnCD16 and tissues from in vivo studies treated with iNK products served as positive controls. For the ddPCR assay, absolute limit of detection (aLoD) was determined to be 4.9 copies of hnCD16 per 20 µL reaction, regardless of total genomic mass input. Absolute limit of quantification (aLoQ) was 12 copies per 20 µL reaction with a %CV ≤30. Relative limit of quantification (rLoQ), assessing transgene to total DNA ratio, is affected by the background gDNA input and is less sensitive with lower input mass. rLoQ for total mass of 70 - 250 ng was 97 - 22 copies/µg gDNA (0.064% - 0.015%) with a %CV ≤30. The sensitivity of this input range allows evaluation of clinical samples with low cellularity. While ddPCR provides robust quantification of the hnCD16 transcript, the RNAscope࣪ assay informs localization of the iNK product. Specificity of the probe was established by confirming its lack of affinity for endogenous CD16 using a variety of human normal and tumor tissues and by staining hnCD16-positive fixed cell pellets and tissues from in vivo studies. In cell pellets, positive RNAscope࣪ signal correlated with the known ratio of transgene positive cells. In murine tissues previously confirmed to contain iNK cell product, the RNAscope࣪ positive staining correlated with NKG2A immunohistochemistry staining, confirming the presence of product NK cells. The combined use of both the ddPCR and RNAscope࣪ assays targeted to hnCD16 allows for detection and quantification of transgene-bearing iNK cells in a wide variety of patient samples including tumor biopsies. Both assays are being utilized for cell detection and quantification in our ongoing clinical trials. Citation Format: Cara E. Bickers, Judy L. Martin, Steven Castro, Jason Zhang, Thomas Dailey, Eric Sung, Suzanna Gasparian, Jason O'Rourke, Moyar Ge, Tom T. Lee, Janel Huffman, Jode Goodridge, Ryan Bjordahl, Bahram Valamehr, Peter M. Szabo, Lilly Wong, Sarah Cooley. Detection of genetically engineered iPSC-derived natural killer cells in blood and tissue [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1138.

Developing predictive hybridization models for phosphorothioate oligonucleotides using high-resolution melting.

The ability to predict nucleic acid hybridization energies has been greatly enabling for many applications, but predictive models require painstaking experimentation, which may limit expansion to non-natural nucleic acid analogues and chemistries. We have assessed the utility of dye-based, high-resolution melting (HRM) as an alternative to UV-Vis determinations of hyperchromicity in order to more quickly acquire parameters for duplex stability prediction. The HRM-derived model for phosphodiester (PO) DNA can make comparable predictions to previously established models. Using HRM, it proved possible to develop predictive models for DNA duplexes containing phosphorothioate (PS) linkages, and we found that hybridization stability could be predicted as a function of sequence and backbone composition for a variety of duplexes, including PS:PS, PS:PO, and partially modified backbones. Individual phosphorothioate modifications destabilize helices by around 0.12 kcal/mol on average. Finally, we applied these models to the design of a catalytic hairpin assembly circuit, an enzyme-free amplification method used for nucleic acid-based molecular detection. Changes in PS circuit behavior were consistent with model predictions, further supporting the addition of HRM modeling and parameters for PS oligonucleotides to the rational design of nucleic acid hybridization.

A CRISPR-based nucleic acid detection method for severe fever with thrombocytopenia syndrome virus

ObjectiveFever with thrombocytopenia syndrome virus (SFTS) is a tick-borne infection now known to spread among humans as an aerosol, which has resulted in several outbreaks across Asia over the past decade. As mortality is substantial, it is vital to establish a rapid, on-site nucleic acid detection method for diagnosis. Here we describe such a method for SFTSV (Dabie bandavirus) based on CRISPR-Cas13a. MethodsSpecific recombinase-aided amplification (RAA) primers and CRISPR (cr)RNA nucleic acid detection targets were designed and synthesized for the conserved sequence of the SFTSV genome, and fluorescent CRISPR detection was used to screen for high-sensitivity crRNAs. Colloidal immunochromatography test paper was used to read CRISPR detection results. Sensitivity and specificity were evaluated by running tests on gradient dilutions of SFTSV nucleic acid and the nucleic acids of other pathogens with similar transmission routes or clinical manifestations. ResultsOne crRNA with high detection sensitivity was screened out of 5 crRNAs with conserved sequences from the SFTSV genome. This CRISPR nucleic acid-based detection method was able to detect a single crRNA copy per microliter but not the nucleic acids of similar pathogens. ConclusionThis CRISPR test strip detection method permits rapid, sensitive, and specific diagnosis of SFTS without the need for advanced nucleic acid detection equipment, thus allowing for on-site application.

Enhancing Peptide Nucleic Acid–Nanomaterial Interaction and Performance Improvement of Peptide Nucleic Acid-Based Nucleic Acid Detection by Using Electrostatic Effects

Single-stranded peptide nucleic acid (PNA) probes interact strongly with several nanomaterials, and the interaction was diminished in the presence of complementary nucleic acid targets which forms the basis of many nucleic acid sensing platforms. As opposed to the negatively charged DNA probes, the charges on the PNA probes may be fine-tuned by incorporating amino acids with charged side chains. The contribution of electrostatic effects to the interaction between PNA probes and nanomaterials has been largely overlooked. This work reveals that electrostatic effects substantially enhanced the quenching of dye-labeled conformationally constrained pyrrolidinyl PNA probes by several nanomaterials including graphene oxide (GO), reduced graphene oxide, gold nanoparticles (AuNPs), and silver nanoparticles. The fluorescence quenching and the color change from red to purple in the case of AuNPs because of aggregation were inhibited in the presence of complementary nucleic acid targets. Thus, fluorescence and colorimetric assays for DNA and RNA that can distinguish even single-base-mismatched nucleic acids with improved sensitivity over conventional DNA probes were established. Both the GO- and AuNP-based sensing platforms have been successfully applied for the detection of real DNA and RNA samples in vitro and in living cells. This study emphasizes the active roles of electrostatic effects in the PNA-nanomaterial interactions, which paves the way toward improving the performance of PNA-nanomaterial based assays of nucleic acids.

Development and validation of anti-human Alpha synuclein DNA aptamer using computer modelling techniques-an in silico study.

Background: Biomarker detection strategies have, in recent years, been moving towards nucleic acid-based detection systems in the form of aptamers, short oligonucleotide sequences which have shown promise in pre-clinical and research settings. One such aptamer is M5-15, a DNA aptamer raised against human alpha synuclein (α-syn) the causative agent in Lewy body and Parkinson's disease (PD) associated dementia. While this aptamer has shown promise, in silico methodologies have demonstrated a capacity to produce aptamers that have higher affinities for their targets than in vitro generated sequences. Methods: A Python script random generated library of DNA sequences were screened based on their thermodynamic stability with the use of DINAMelt server-QuickFold web server. The selected sequences were examined with MFold in order to generate secondary structure data that were used to produce 3D data with the use of RNA composer software. Further on, the structure was corrected and RNA was replaced with DNA and the virtual screening for α-syn aptamer took place with a series of molecular docking experiments with the use of CSD-Discovery-GOLD software. Results: Herein we propose an alternative in silico generated aptamer we call TMG-79 which demonstrates greater affinity for the target compared to M5-15 (M5-15 = -15.9 kcal/mol, TMG-79 = -17.77 kcal/mol) as well as better ChemPLP fitness scoring between the top poses (M5-15 = 32.33, TMG-79 = 53.32). Structural analysis suggests that while there are similarities, the greater potential flexibility of TMG-79 could be promoting greater affinity for the α-syn compared to M5-15. Conclusions: In silico methods of aptamer generation has the potential to revolutionise the field of aptamer design. We feel that further development of TMG-79 and validation in vitro will make it a viable candidate for diagnostic and research use in the future.

A low-cost, portable, and practical LAMP device for point-of-diagnosis in the field.

Transition of rapid, ready-to-use, and low-cost nucleic acid-based detection technologies from laboratories to points of sample collection has drastically accelerated. However, most of these approaches are still incapable of diagnosis starting from samplingthrough nucleic acid isolation and detection in the field. Herewe developed a simple, portable, low-cost, colorimetric, and remotely controllable platform for reliable, high-throughput,and rapid diagnosis using loop-mediated isothermal amplification (LAMP) assays. It consists of a thermally isolated cup, low-cost electronic components, a polydimethylsiloxane sample well, and a fast prototyped case that covers electronic components. The steady-state temperature error of the system is <1%. We performed LAMP, Colony-LAMP, and Colony polymerase chain reactions (PCRs) using the yaiO2 primer set for Escherichia coli and Pseudomonas aeruginosa samples at 65°C and 30 min. We detected the end-point colorimetric readouts by the naked eye under day light. We confirmed the specificity and sensitivity of our approach using pure genomic DNA and crude bacterial colonies. We benchmarked our Colony-LAMP detection against Colony PCR. The number of samples tested can easily be modified for higher throughput in our system. We strongly believe that our platform can greatly contribute rapid and reliable diagnosis in versatile operational environments.

A field-deployable method for single and multiplex detection of DNA or RNA from pathogens using Cas12 and Cas13.

For some Cas nucleases, trans-cleavage activity triggered by CRISPR/Cas-mediated cis-cleavage upon target nucleic acid recognition has been explored for diagnostic detection. Portable single and multiplex nucleic acid-based detection is needed for crop pathogen management in agriculture. Here, we harnessed and characterized RfxCas13d as an additional CRISPR/Cas nucleic acid detection tool. We systematically characterized AsCas12a, LbCas12a, LwaCas13a, and RfxCas13d combined with isothermal amplification to develop a CRISPR/Cas nucleic acid-based tool for single or multiplex pathogen detection. Our data indicated that sufficient detection sensitivity was achieved with just a few copies of DNA/RNA targets as input. Using this tool, we successfully detected DNA from Fusarium graminearum and Fusarium verticillioides and RNA from rice black-streaked dwarf virus in crude extracts prepared in the field. Our method, from sample preparation to result readout, could be rapidly and easily deployed in the field. This system could be extended to other crop pathogens, including those that currently lack a detection method and have metabolite profiles that make detection challenging. This nucleic acid detection system could also be used for single-nucleotide polymorphism genotyping, transgene detection, and qualitative detection of gene expression in the field.Supporting InformationThe supporting information is available online at 10.1007/s11427-021-2028-x. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

Facile and foldable point-of-care biochip for nucleic acid based-colorimetric detection of murine norovirus in fecal samples using G-quadruplex and graphene oxide coated microbeads

Norovirus is one of the most common causes of gastroenteritis, a disease characterized by diarrhea, vomiting, and stomach pain. A rapid on-site identification of the virus from fecal samples of patients is a prerequisite for accurate medical management. Here, we demonstrate a rapid nucleic acid-based detection platform as an on-site biosensing tool that can concentrate viruses from fecal samples. Moreover, it can perform RNA extraction and identification, and signal amplification using G-quadruplex and hemin containing DNA probes (G-DNA probes) and graphene oxide (GO)-coated microbeads. Briefly, murine noroviruses are lysed without chemicals on the surface of the GO microbeads. Subsequently, the target RNA is hybridized with G-DNA probes, and the resultant RNA/G-DNA probe complex is separated from unbound G-DNA probes using GO beads and is mixed with the detection buffer (ABTS/H2O2). Presence of murine noroviruses causes a colorimetric change of the buffer from colorless to green. Thus, we integrated all processes required to detect murine noroviruses in stool samples in a simple foldable microfluidic chip. Moreover, it can detect 101 pfu of the virus in 30 min in a fecal sample.

Reverse Transcription Loop-Mediated Isothermal Amplification (RT-LAMP) at the Service of Viroid Detection.

A wide range of nucleic acid-based detection methods is available for viroid diagnosis. In this chapter, we describe a novel reverse transcription loop-mediated isothermal amplification (RT-LAMP). The technique involves the use of nucleic acids, plant sap, or even traces of plant tissue. Adding a set of four to six primers, Bst DNA polymerase, AMV, or another thermostable reverse transcriptase, allows the fast detection of RNA targets like viroids after a short (20-40min) incubation at 63°C either in an open or close-tube system.

Discrepancies in Serology-Based and Nucleic Acid-Based Detection and Quantitation of Tomato Spotted Wilt Orthotospovirus in Leaf and Root Tissues from Symptomatic and Asymptomatic Peanut Plants.

Thrips-transmitted tomato spotted wilt orthotospovirus (TSWV) causes spotted wilt disease in peanuts. A serological test (DAS-ELISA) is often used to detect TSWV in peanut leaf samples. However, in a few studies, DAS-ELISA detected more TSWV infection in root than leaf samples. It was not clear if the increased detection was due to increased TSWV accumulation in root tissue or merely an overestimation. Additionally, it was unclear if TSWV detection in asymptomatic plants would be affected by the detection technique. TSWV infection in leaf and root tissue from symptomatic and asymptomatic plants was compared via DAS-ELISA, RT-PCR, and RT-qPCR. TSWV incidence did not vary by DAS-ELISA, RT-PCR, and RT-qPCR in leaf and root samples of symptomatic plants or in leaf samples of asymptomatic plants. In contrast, significantly more TSWV infection and virus load were detected in root samples of asymptomatic plants via DAS-ELISA than other techniques suggesting that DAS-ELISA overestimated TSWV incidence and load. TSWV loads from symptomatic plants via RT-qPCR were higher in leaf than root samples, while TSWV loads in leaf and root samples from asymptomatic plants were not different but were lower than those in symptomatic plants. These findings suggested that peanut tissue type and detection technique could affect accurate TSWV detection and/or quantitation.

Discrimination and isolation of the virus from free RNA fragments for the highly sensitive measurement of SARS-CoV-2 abundance on surfaces using a graphene oxide nano surface

It is highly important to sensitively measure the abundance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on various surfaces. Here, we present a nucleic acid-based detection method consisting of a new sample preparation protocol that isolates only viruses, not the free RNA fragments already present on the surfaces of indoor human-inhabited environments, using a graphene oxide-coated microbead filter. Wet wipes (100 cm2), not cotton swabs, were used to collect viruses from environmental surfaces with large areas, and viruses were concentrated and separated with a graphene oxide-coated microbead filter. Viral RNA from virus was recovered 88.10 ± 8.03% from the surface and free RNA fragment was removed by 99.75 ± 0.19% from the final eluted solution. When we tested the developed method under laboratory conditions, a 10-fold higher viral detection sensitivity (Detection limit: 1 pfu/100 cm2) than the current commercial protocol was observed. Using our new sample preparation protocol, we also confirmed that the virus was effectively removed from surfaces after chemical disinfection; we were unable to measure the disinfection efficiency using the current commercial protocol because it cannot distinguish between viral RNA and free RNA fragments. Finally, we investigated the presence of SARS-CoV-2 and bacteria in 12 individual negative pressure wards in which patients with SARS-CoV-2 infection had been hospitalized. Bacteria (based on 16 S DNA) were found in all samples collected from patient rooms; however, SARS-CoV-2 was mainly detected in rooms shared by two patients.

Simple and portable on-site system for nucleic acid-based detection of Clostridium difficile in stool samples using two columns containing microbeads and loop-mediated isothermal amplification.

It is challenging to employ nucleic acid-based diagnostics for the in situ detection of Clostridium difficile from complex fecal samples because essential sample preparation and amplification procedures require various experimental resources. In this study, a simple and effective on-site nucleic acid-based detection system was used to detect C. difficile in stool samples. Two columns containing different microbeads, namely, glass and functionalized graphene oxide-coated microbeads, were designed to remove relatively large impurities by filtration and concentrate bacteria, including C. difficile, from stool samples by adsorption. The bacterial nucleic acids were effectively extracted using a small bead beater. The effectiveness of enzyme inhibitors remaining in the sample was efficiently reduced by the direct buffer developed in this study. This sample preparation kit consisting of two simple columns showed better performance in real-time polymerase chain reaction (PCR) and equivalent performance in loop-mediated isothermal amplification (LAMP) than other sample preparation kits, despite 90% simplification of the process. The amplification-ready samples were introduced into two microtubes containing LAMP pre-mixtures (one each for E. coli as an external positive control and C. difficile) by a simple sample loader, which was operated using a syringe. LAMP, which indicates amplification based on color change, was performed at 65 °C in a small water bath. The limit of detection (L.O.D) and analytical sensitivity/specificity of our simple and effective kit were compared with those of a commercial kit. C. difficile in stool samples could be detected within 1 h with 103 cfu/10 mg using LAMP combined simple on-site detection kit.

Use of magnetic nanotrap particles in capturing Yersinia pestis virulence factors, nucleic acids and bacteria

BackgroundMany pathogens, including Yersinia pestis, cannot be consistently and reliably cultured from blood. New approaches are needed to facilitate the detection of proteins, nucleic acid and microorganisms in whole blood samples to improve downstream assay performance. Detection of biomarkers in whole blood is difficult due to the presence of host proteins that obscure standard detection mechanisms. Nanotrap® particles are micron-sized hydrogel structures containing a dye molecule as the affinity bait and used to detect host biomarkers, viral nucleic acids and proteins as well as some bacterial markers. Nanotraps have been shown to bind and enrich a wide variety of biomarkers and viruses in clinically relevant matrices such as urine and plasma. Our objective was to characterize the binding ability of Nanotrap particle type CN3080 to Y. pestis bacteria, bacterial proteins and nucleic acids from whole human blood in order to potentially improve detection and diagnosis.ResultsCN3080 Nanotraps bind tightly to Yersinia bacteria, even after washing, and we were able to visualize the co-localized Nanotraps and bacteria by electron microscopy. These magnetic hydrogel Nanotraps were able to bind Yersinia DNA, supporting the utility of Nanotraps for enhancing nucleic acid-based detection methods. Nanotraps were capable of increasing Y. pestis nucleic acid yield by fourfold from whole human blood compared to standard nucleic acid extraction. Interestingly, we found CN3080 Nanotraps to have a high affinity for multiple components of the Yersinia type III secretion system (T3SS), including chaperone proteins, Yop effector proteins and virulence factor protein LcrV (V). Using Nanotraps as a rapid upstream sample-prep tool, we were able to detect LcrV in human blood by western blotting with minimal blood interference in contrast to direct western blotting of blood samples in which LcrV was obscured. We were able to computationally model the interaction of LcrV with the CN3080 Nanotrap dye and found that it had a low delta-G, suggesting high affinity. Importantly, Nanotraps were also able to enhance detection of secreted Yersinia proteins by mass spectrometry.ConclusionUpstream use of magnetic CN3080 Nanotrap particles may improve the downstream workflow though binding and enrichment of biomarkers and speed of processing. Utilization of Nanotrap particles can improve detection of Yersinia pestis proteins and nucleic acid from whole human blood and contribute to downstream assays and diagnostics including molecular methods such as sequencing and PCR and protein-based methods.Graphic

Challenges and Opportunities for Clustered Regularly Interspaced Short Palindromic Repeats Based Molecular Biosensing.

Clustered regularly interspaced short palindromic repeats, CRISPR, has recently emerged as a powerful molecular biosensing tool for nucleic acids and other biomarkers due to its unique properties such as collateral cleavage nature, room temperature reaction conditions, and high target-recognition specificity. Numerous platforms have been developed to leverage the CRISPR assay for ultrasensitive biosensing applications. However, to be considered as a new gold standard, several key challenges for CRISPR molecular biosensing must be addressed. In this paper, we briefly review the history of biosensors, followed by the current status of nucleic acid-based detection methods. We then discuss the current challenges pertaining to CRISPR-based nucleic acid detection, followed by the recent breakthroughs addressing these challenges. We focus upon future advancements required to enable rapid, simple, sensitive, specific, multiplexed, amplification-free, and shelf-stable CRISPR-based molecular biosensors.

COVID-19 Diagnostic Strategies Part II: Protein-Based Technologies.

After the initiation of the current outbreak, humans’ lives have been profoundly impacted by COVID-19. During the first months, no rapid and reliable detecting tool was readily available to sufficiently respond to the requirement of massive testing. In this situation, when the development of an effective vaccine requires at least a few months, it is crucial to be prepared by developing and commercializing affordable, accurate, rapid and adaptable biosensors not only to fight Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) but also to be armed to avoid the pandemic in the earliest stages in the future. The COVID-19 diagnostic tools are categorized into two main groups of Nucleic Acid (NA)-based and protein-based tests. To date, nucleic acid-based detection has been announced as the gold-standard strategy for coronavirus detection; however, protein-based tests are promising alternatives for rapid and large-scale screening of susceptible groups. In this review, we discuss the current protein-based biosensing tools, the research advances and the potential protein-detecting strategies for COVID-19 detection. This narrative review aims to highlight the importance of the diagnostic tests, encourage the academic research groups and the companies to eliminate the shortcomings of the current techniques and step forward to mass-producing reliable point-of-care (POC) and point-of-need (PON) adaptable diagnostic tools for large-scale screening in the future outbreaks.

Virus Detection: A Review of the Current and Emerging Molecular and Immunological Methods

Viruses are ubiquitous in the environment. While many impart no deleterious effects on their hosts, several are major pathogens. This risk of pathogenicity, alongside the fact that many viruses can rapidly mutate highlights the need for suitable, rapid diagnostic measures. This review provides a critical analysis of widely used methods and examines their advantages and limitations. Currently, nucleic-acid detection and immunoassay methods are among the most popular means for quickly identifying viral infection directly from source. Nucleic acid-based detection generally offers high sensitivity, but can be time-consuming, costly, and require trained staff. The use of isothermal-based amplification systems for detection could aid in the reduction of results turnaround and equipment-associated costs, making them appealing for point-of-use applications, or when high volume/fast turnaround testing is required. Alternatively, immunoassays offer robustness and reduced costs. Furthermore, some immunoassay formats, such as those using lateral-flow technology, can generate results very rapidly. However, immunoassays typically cannot achieve comparable sensitivity to nucleic acid-based detection methods. Alongside these methods, the application of next-generation sequencing can provide highly specific results. In addition, the ability to sequence large numbers of viral genomes would provide researchers with enhanced information and assist in tracing infections.