Millions of archival tissue samples, particularly formalin-fixed paraffin-embedded (FFPE) derived samples, provide a large vault of information for disease research. Typically, these samples are associated with long-term phenotypic data that may yield insight in gene expression changes that occur during various disease states. Unfortunately, the fixation process and storage of FFPE samples frequently leads to high RNA degradation and generally offers limited sample material, making it difficult to perform reliable, reproducible transcriptome analysis. While it is possible to derive usable RNA from FFPE samples, the current analysis methods produce highly variable results or often require expensive deep sequencing.
Next generation RNA sequencing is an ideal platform to access FFPE tissue samples for research, as it offers extensive functional genomic information. In this webinar, learn how researchers can leverage new technology to conduct cost-effective gene expression, profiling transcriptome analysis and fusion detection studies using RNA-sequencing to analyze difficult samples.