Webinar: Standardization Strategies in Molecular Diagnostics
Sponsored by: Gilson Inc.
Date: 13 May
Time: 3PM London/10AM New York
Deliver verifiable qPCR results using MIQE guidelines and automation
Modern advances in molecular diagnostics and personalized medicine rely on technologies that accurately detect risk, diagnose disease, and monitor therapies that will work best in individual patients. One such molecular diagnostic technique is reverse transcription followed by real-time quantitative PCR (RT-qPCR), which is used to quantitate mRNA and microRNA differences in gene expression levels between samples. Inadequate sample and nucleic acid preparation, improper qPCR assay design, and faulty data and statistical analyses can lead to unreliable and erroneous results.
In this webinar we will introduce strategies and quality management techniques for standardizing RT-qPCR experiments. In particular, incorporating the ‘Minimum Information for Publication of Quantitative Real-Time PCR Experiments’ (MIQE) guidelines into molecular diagnostic protocols and analytical workflows. We will also review several key considerations when optimizing RT-qPCR experiments, e.g. the source of biological sample, quality of extracted RNA, selection of the correct reference genes, and application of the correct calculations or statistics when reporting results. We will discuss how these approaches, combined with automation, will limit experimental error and improve sample traceability in generating unequivocal, verifiable results.
Michael W. Pfaffl, Ph.D.,
Professor of Molecular Physiology, School of Life Science Weihenstephan, Technical University of Munich
Professor Michael Pfaffl is one of the leading scientists in the field of qPCR technology with emphasis on relative quantification, mRNA and small-RNA expression profiling. He received his Dipl. Ing. diploma (Agroscience/Animal Science, 1993) and Ph.D. (Life Science, Bioscience, AgroScience, 1997) from the Technical University of Munich (Germany). Dr. Pfaffl is the editor-in-chief of www.Gene-Quantification.info , journal editor of Biomolecular Detection and Quantification and Methods, and the principal organizer of the worldwide qPCR & NGS Event series from 2004 - 2015. He has authored more than 160 peer reviewed publications and 40 book chapters, having received the Elsevier SciVerse Scopus Award in 2012 for the top most cited article, "A new mathematical model for relative quantification in real-time RT-PCR" in NAR 2001. Prior to 2008 he held appointments at TATAA Biocenter and was owner of bioEPS GmbH.
Key Learning Objectives
- How poor experimental design can adversely affect gene expression results
- Why incorporating MIQE guidelines into molecular diagnostics workflows improves data reproducibility
- Which tools are available to standardize and improve the quality and validity of your RT-qPCR assays
- How automation and proper sample handling can lead to reliable and verifiable results
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