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qPCR

Intensive Course in qPCR

Real-time or quantitative PCR (qPCR) allows quantification of starting amounts of DNA, cDNA, or RNA templates. qPCR is based on the detection of a fluorescent reporter molecule that increases as PCR product accumulates with each cycle of amplification.

Fluorescent reporter molecules include dyes that bind double-stranded DNA (i.e. SYBR Green I) or sequence-specific probes (i.e. Molecular Beacons or TaqMan® Probes). qPCR exceeds the limitations of traditional end-point PCR methods by allowing either absolute or relative quantification of PCR product at the end of each cycle. The ability has greatly enhanced several areas of research including gene expression analysis and genotyping assays. This three-day hands-on workshop will expand your knowledge of qPCR and ensure that you are getting the most from your assays. Featured lectures include an in-depth look at the fundamentals of the technology, as well as extensive sessions on optimization, troubleshooting, and data analysis. Hands-on lab practicals will provide direct experience with real-life applications, optimization, and troubleshooting. Upon completion of the course, participants will be armed with the tools needed to conduct their qPCR experiments with absolute confidence in their results.

To register for this event, please click here.


Dates/Location

  • July 11-15, 2011, EMBL, Advanced Training Centre, Heidelberg Germany

Lectures and Labs

  • Introduction to MIQE
  • QPCR Assay Design
  • Effect of RNA Degradation on RT-qPCR
  • miRNA Degradation
  • Effect of Inhibitors on RT-qPCR
  • Standard RNA Assessments and Quantification
  • RNA Integrity (5′/3′)
  • Sample Quality (SPUD)
  • Reference Gene Selection
  • Quantification Strategies
  • Normalization Approaches for microRNA
  • Using Normalization to Assess Sample Quality
  • Genomic Regulation of Gene Expression
  • qPCR gene expression Experiments
  • Lessons from the MMR Scandal
  • QC prior to Publication
  • Data Analysis
  • Biostatistics
  • Data Analysis
  • Interpretation of ZFN data

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