Literature DB >> 33722693

An assessment of the reproducibility of reverse transcription digital PCR quantification of HIV-1.

Samreen Falak1, Rainer Macdonald2, Eloise J Busby3, Denise M O'Sullivan3, Mojca Milavec4, Annabell Plauth2, Martin Kammel5, Heinz Zeichhardt5, Hans-Peter Grunert6, Andreas Kummrow2, Jim F Huggett7.   

Abstract

Viral load monitoring in human immunodeficiency virus type 1 (HIV-1) infection is often performed using reverse transcription quantitative PCR (RT-qPCR) to observe response to treatment and identify the development of resistance. Traceability is achieved using a calibration hierarchy traceable to the International Unit (IU). IU values are determined using consensus agreement derived from estimations by different laboratories. Such a consensus approach is necessary due to the fact that there are currently no reference measurement procedures available that can independently assign a reference value to viral reference materials for molecular in vitro diagnostic tests. Digital PCR (dPCR) is a technique that has the potential to be used for this purpose. In this paper, we investigate the ability of reverse transcriptase dPCR (RT-dPCR) to quantify HIV-1 genomic RNA without calibration. Criteria investigated included the performance of HIV-1 RNA extraction steps, choice of reverse transcription approach and selection of target gene with assays performed in both single and duplex format. We developed a protocol which was subsequently applied by two independent laboratories as part of an external quality assurance (EQA) scheme for HIV-1 genome detection. Our findings suggest that RT-dPCR could be used as reference measurement procedure to aid the value assignment of HIV-1 reference materials to support routine calibration of HIV-1 viral load testing by RT-qPCR.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  Digital PCR; External quality assessment; Human immunodeficiency virus type 1; Reverse transcriptase digital PCR; Ribonucleic acid

Mesh:

Substances:

Year:  2021        PMID: 33722693     DOI: 10.1016/j.ymeth.2021.03.006

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  7 in total

1.  Digital PCR can augment the interpretation of RT-qPCR Cq values for SARS-CoV-2 diagnostics.

Authors:  Alexandra S Whale; Eva K von der Heide; Max Kohlenberg; Anja Brinckmann; Silke Baedker; Oezlem Karalay; Ana Fernandez-Gonzalez; Eloise J Busby; Stephen A Bustin; Heiko Hauser; Andreas Missel; Denise M O'Sullivan; Jim F Huggett; Michael W Pfaffl; Tania Nolan
Journal:  Methods       Date:  2021-08-26       Impact factor: 4.647

Review 2.  Metrological framework to support accurate, reliable, and reproducible nucleic acid measurements.

Authors:  Mojca Milavec; Megan H Cleveland; Young-Kyung Bae; Robert I Wielgosz; Maxim Vonsky; Jim F Huggett
Journal:  Anal Bioanal Chem       Date:  2021-11-04       Impact factor: 4.142

3.  Ultrasensitive detection and quantification of viral nucleic acids with Raindance droplet digital PCR (ddPCR).

Authors:  Samuel Long; Brian Berkemeier
Journal:  Methods       Date:  2021-05-03       Impact factor: 4.647

Review 4.  In pursuit of sensitivity: Lessons learned from viral nucleic acid detection and quantification on the Raindance ddPCR platform.

Authors:  Samuel Long
Journal:  Methods       Date:  2021-04-09       Impact factor: 4.647

Review 5.  Engineering CRISPR/Cas13 System against RNA Viruses: From Diagnostics to Therapeutics.

Authors:  Yi Xue; Zhenzhen Chen; Wenxian Zhang; Jingjing Zhang
Journal:  Bioengineering (Basel)       Date:  2022-06-29

6.  RNA reference materials with defined viral RNA loads of SARS-CoV-2-A useful tool towards a better PCR assay harmonization.

Authors:  Laura Vierbaum; Nathalie Wojtalewicz; Hans-Peter Grunert; Vanessa Lindig; Ulf Duehring; Christian Drosten; Victor Corman; Daniela Niemeyer; Sandra Ciesek; Holger F Rabenau; Annemarie Berger; Martin Obermeier; Andreas Nitsche; Janine Michel; Martin Mielke; Jim Huggett; Denise O'Sullivan; Eloise Busby; Simon Cowen; Peter M Vallone; Megan H Cleveland; Samreen Falak; Andreas Kummrow; Thomas Keller; Ingo Schellenberg; Heinz Zeichhardt; Martin Kammel
Journal:  PLoS One       Date:  2022-01-20       Impact factor: 3.240

Review 7.  SARS-CoV-2 Subgenomic RNAs: Characterization, Utility, and Perspectives.

Authors:  Samuel Long
Journal:  Viruses       Date:  2021-09-24       Impact factor: 5.818

  7 in total

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