Pancreatic cancer is one of the most lethal malignancies with a poor prognosis. Liquid biopsies are non-invasive methods for diagnostics to detect early stage cancer resulting in more successful treatment. One liquid biopsy technique is the detection of RNA from tumor-derived exosomes.
In this webinar you can learn how bioinformatics solutions can be used to analyze and interpret RNA-sequencing results from these exosome experiments, providing additional hypothesis on regulatory networks and potential isoforms of biological significance. We’ll examine the transcriptome of pancreatic tumor-derived exosomes that induce the formation of a liver metastatic niche, and demonstrate how our solutions can provide deep biological understanding in this process.
Find out how to:
- Streamline RNA-sequencing alignment and analysis using configured workflows for the fast track to biological interpretation
- Analyze exosome gene expression signatures to pinpoint significant genes associated with early detection of pancreatic cancer
- Identify significantly differentially expressed isoforms and their association to pancreatic cancer
- Generate novel regulatory networks as hypotheses suggesting drivers of the expression changes observed in these tumor producing exosomes to better understand pancreatic cancer drivers