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Live Webinar

Tuesday May, 13, 2025
11 a.m. EDT | 5 p.m. CST

A sustainable, robust, and highly sensitive solution for RNA pathogen detection using eQo 1-Step ToughMix

Tuesday, May 13, 2025
11 a.m. EDT | 5 p.m. CEST

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Join us for an insightful webinar exploring how eQo 1-Step ToughMix can help detectibg low copies of RNA viruses and human pathogenes, addressing a significant public health challenge

Key Topics:

  • How to simplify RNA detection workflows with a one-step RT-qPCR mix
  • Why lyophilized eQo Beads offer practical room temperature storage and shipping
  • What makes this mix resistant to common PCR inhibitors found in real-world samples
  • Performance highlights from Flu SC2 and H5N1 assays, with detection as low as two copies

 

Overview

RNA viruses often cause disease and impact public health including H1N1 influenza, Ebola, Zika, and COVID-19, all of which have caused recent pandemics. Therefore, rapid and accurate detection of these viruses in a fast, reliable, cost-effective manner is critical for early infection detection, surveillance of disease spread, and effective treatment. Our objective was to develop a highly sensitive, inhibitor-tolerant, and sustainable one-step RT-qPCR reagent for accurate RNA quantification with resistance to common inhibitors and compatibility with unpurified samples.

Methodology: To achieve our goal, we combined a novel, engineered reverse transcriptase (RT) possessing high thermostability and an innate tolerance to inhibitors with accessory enzymes and an optimized buffer system to deliver a highly sensitive and robust one-step RT-qPCR reagent system. eQo 1-Step ToughMix is delivered in a convenient, lyophilized format (eQo Beads) that can be shipped and stored at ambient temperatures, eliminating the cost and environmental impact of dry ice and foam packaging. To evaluate the performance of eQo 1-Step ToughMix, we tested the stringency of the warm-start RT, carryover contamination amplicon elimination, and inhibitor tolerance capabilities. Finally, we used CDC’s Influenza SARS-CoV-2 (Flu SC2) Multiplex Assay and H5N1 assay to test the sensitivity and limits of pathogen detection for the eQo 1-Step ToughMix.

Results: eQo 1-Step ToughMix is stable at ambient temperature for up to one year in the lyophilized format and works as a standard 4X liquid mix after rehydration. Fully assembled reactions were stable at room temperature for 24 hours without causing off-target cDNA synthesis. Heat-labile UDG included in the master mix effectively eliminated carryover amplicons and the reagent showed improved resistance against common PCR inhibitors including mucin, heparin, hematic, humic acid, formaldehyde. Using several model sample systems and assays including the Influenza SARS-CoV-2 (Flu SC2) Multiplex Assay from CDC, we demonstrated that eQo 1-Step ToughMix accurately quantifies pathogens in a reaction with a six-fold log dilution series and the limit of detection was as low as two copies of the target. In addition, pathogens were successfully detected directly from saliva and other sample types without traditional extraction processes. Finally, this reagent exhibited superior performance compared to other reagents for detecting H5N1 and several other pathogen RNAs

Conclusions: Overall, eQo 1-Step ToughMix offers a sustainable, robust, and highly sensitive solution for RNA pathogen detection, whether from pure RNA samples or directly from unpurified lysates.

 

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Presented by:

Subrata Panja, PhD
Associate Director Field Applications, Quantabio

Subrata Panja works collaboratively with scientists in different diagnostic labs, genomic core facilities, and academic research labs to optimize and troubleshoot new assays, genetic tests, and workflows. He has been instrumental in developing new NGS protocols and product enhancements improving the speed and robustness of cDNA synthesis, PCR, qPCR, and RT-qPCR applications. Before joining Quantabio, Subrata served as an R&D scientist at GeneDx. He earned his PhD in biophysics from the University of Kalyani (India) and conducted postdoctoral research at Johns Hopkins University.

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