Strategies for optimizing high throughput qPCR for expression profiling

Real-time, reverse transcription-quantitative PCR (RT-qPCR) is the gold standard for gene expression analysis. This method allows researchers to generate large amounts of data from small sample sizes in just a few hours. These same characteristics should make it an ideal technique for evaluating a large number of samples for hundreds of expression markers. However, careful attention to experimental design and data analysis are needed to ensure that you obtain accurate and precise results from high throughput experiments. These precautions can also save you time and money.

Whether you are new to or experienced with high throughput gene expression profiling, listen to a joint webinar from IDT and the TATAA Biocenter to get valuable tips for designing and analyzing experiments from a prominent qPCR expert. Dr. Mikael Kubista, founder of the TATAA Biocenter and coauthor of the MIQE guidelines [1], shares his knowledge about the major challenges of high throughput expression profiling. Topics include optimizing and validating assays, sample quality testing, merging multi-plate measurements into a common analysis, as well as measuring and compensating for background due to genomic DNA. Along the way, you will learn about advantageous QC products from TATAA Biocenter and robust qPCR assays and controls from IDT.