This study established a portable and ultrasensitive detection method based on recombinase polymerase amplification (RPA) combined with high-sensitivity multilayer quantum dot (MQD)-based immunochromatographic assay (ICA) to detect the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The RPA-MQD-based ICA method is reported for the first time and has the following advantages: (i) RPA is free from the constraints of instruments and can be promoted in point-of-care testing (POCT) scenarios, (ii) fluorescence ICA enhances the portability of detection operation so that the entire operation time is controlled within 1 h, and (iii) compared with common colorimetric-based RPA-ICA, the proposed assay used MQD to provide strong and quantifiable fluorescence signal, thus enhancing the detection sensitivity. With this strategy, the proposed RPA-MQD-based ICA can amplify and detect the SARS-CoV-2 nucleic acid on-site with a sensitivity of 2 copies/reaction, which is comparable to the sensitivity of commercial reverse transcription quantitative polymerase chain reaction (RT-qPCR) kits. Moreover, the designed primers did not cross-react with other common respiratory viruses, including adenovirus, influenza virus A, and influenza virus B, suggesting high specificity. Thus, the established portable method can sensitively detect SARS-CoV-2 nucleic acid without relying on equipment, having good application prospects in SARS-CoV-2 detection scenarios under non-lab conditions.
Recombinant adeno-associated virus (rAAV) has emerged as a prominent vector for in vivo gene therapy, owing to its distinct advantages. Accurate determination of the rAAV genome titer is crucial for ensuring the safe and effective administration of clinical doses. The evolution of the rAAV genome titer assay from quantitative PCR (qPCR) to digital PCR (dPCR) has enhanced accuracy and precision, yet practical challenges persist. This study systematically investigated the impact of various operational factors on genome titration in a single-factor manner, aiming to address potential sources of variability in the quantitative determination process. Our findings revealed that a pretreatment procedure without genome extraction exhibits superior precision compared with titration with genome extraction. Additionally, notable variations in titration results across different brands of dPCR instruments were documented, with relative standard deviation (RSD) reaching 23.47% for AAV5 and 11.57% for AAV8. Notably, optimal operations about DNase I digestion were identified; we thought treatment time exceeding 30 min was necessary, and there was no need for thermal inactivation after digestion. And we highlighted that thermal capsid disruption before serial dilution substantially affected AAV genome titers, causing a greater than ten-fold decrease. Conversely, this study found that additive components of dilution buffer are not significant contributors to titration variations. Furthermore, we found that repeated freeze–thaw cycles significantly compromised AAV genome titers. In conclusion, a comprehensive dPCR titration protocol, incorporating insights from these impact factors, was proposed and successfully tested across multiple serotypes of AAV. The results demonstrate acceptable variations, with the RSD consistently below 5.00% for all tested AAV samples. This study provides valuable insights to reduce variability and improve the reproducibility of AAV genome titration using dPCR.
Background/Objectives: Recombinant adeno-associated virus (rAAV) has become a leading vector in gene therapy. However, manufacturing limitations may result in replication-competent AAV (rcAAV) contamination of clinical rAAV products, posing safety risks. Rigorous testing is therefore essential, and the use of accurately calibrated rcAAV reference standard materials is critical for ensuring assay stability and reliability. A disadvantage of the widely used Tissue Culture Infectious Dose 50 (TCID50) assay is its high variability. This study introduces an optimized TCID50 assay for the precise quantification of infectious rcAAV particles. Methods: We developed a TCID50 assay tailored to rep2-based rcAAV, optimizing key aspects such as viral infection conditions, qPCR reaction systems, and standard curve preparation. We employed an innovative strategy to prepare the standard curve using serial dilutions of rcAAV in cell lysate, ensuring alignment with the test sample matrices. Results: The rcAAV-derived standard curve demonstrated exceptional linearity (R2 > 0.99), sensitivity (LOQ ≈ 38 copies), and reproducibility, enabling robust endpoint qPCR analysis. The optimized assay significantly improved the precision of the TCID50 assay, as an inter-assay coefficient of variation (CV) of 11.4% was achieved. Conclusions: This refined TCID50 assay is a reliable method for calibrating infectious titers of rcAAV reference standard materials, thereby enabling the standardization of rcAAV testing.
The expression of therapeutic genes is critical for the efficacy of gene therapy products. However, existing methods such as immunological analysis at the protein level or reverse-transcription PCR at the RNA level are unable to accurately quantify the expression activity of the target gene. Herein, an in vitro RNA editing-based reporter assay was developed to detect specific mRNA. The designed sensor RNA could specifically identify the target mRNA, and the reporter gene was activated in a dose-dependent manner because of RNA editing mediated by endogenous adenosine deaminases acting on RNA. Of note, all sensors that targeted different regions, including the gene of interest, tag sequence, and 3′ untranslated region, showed a dose-dependent response pattern. The sensor reporter assay, which was used for quantifying the transcriptional activity of recombinant adeno-associated virus-based gene therapy products, revealed excellent performance in terms of assay specificity, precision (inter-assay relative standard deviation < 15%), accuracy (90–115% recovery), and linearity (R2 > 0.99). The reporter assay could also be employed for other gene therapy vectors, including mRNA and recombinant lentivirus. Thus, a robust and reliable platform was developed for assessing the transcriptional activity of therapeutic genes, thereby offering a powerful tool for the quality control of gene therapy products.