OCT 29, 2014 9:00 AM PDT

miRNA Biomarker Discovery: Technologies, workflows, and data analysis solutions for discovering your unique signature

Speakers
  • Associate Director, NGS Assay Technologies, QIAGEN
    Biography
      Dr. Shaffer joined QIAGEN in 2009 and has since worked with various technology development groups, the most recent being RNA NGS technologies. He received his Ph.D. in biochemistry and molecular genetics from the University of Pittsburgh School of Medicine in 2008 where his research focused on determining the mechanisms that regulate non-receptor tyrosine kinase expression and activity. Dr. Shaffer did his postdoctoral training at SABiosciences Corporation, now part of QIAGEN. In 2018 he received his M.B.A. from Julius Maximilians University of Wurzburg. Currently, Dr. Shaffer is Associate Director for NGS Assay Technology Research & Development at QIAGEN.

    Abstract:

    Circulating miRNAs have great potential as biomarkers due to their aberrant expression in cancer and other diseases. However, miRNAs from body fluids are hard to obtain in amounts sufficient for detailed miRNome profiling. This webinar presents an integrated, PCR-based system that reduces the amount of sample required for full miRNome profiling by several orders of magnitude and provides unparalleled reproducibility and precision. Detailed protocols will be shared regarding RNA isolation, real-time quantification, and data analysis for the assessment of serum, plasma, urine, and cerebrospinal fluid samples. This system enables accurate miRNA analysis on the smallest of samples and opens up new possibilities for biomarker development.

    Objectives Attendees will learn about:

    • Sample preparation and real-time PCR technologies for miRNA biomarker discovery
    • Developing a miRNA biomarker signature using a three stage process
    • Workflows for quantification of miRNA from common body fluids such as serum, plasma, cerebrospinal fluid (CSF), and urine
    • Normalization strategies for real-time PCR data derived from body fluid samples

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