Single cell RNA sequencing is no longer restricted by sample freshness, or small cohort sizes. The new Flex Apex (powered by GEM-X chemistry) redefines the boundaries of transcriptome profiling, allowing you to "fix" your biology at the point of collection and sequence at an unprecedented scale.
Join us for this technical webinar to learn how the Chromium Single Cell Gene Expression Flex Apex workflow enables high-sensitivity gene detection in a wide variety of sample types across 384 samples and 8 million cells per chip. Whether you are working with archived FFPE tissues, blood samples from clinics or frozen tissue samples, this session will provide the roadmap for maximizing your transcriptomic insights.
Key learning objectives
- The Flex advantage: Discover how fixation "freezes" biological states, allowing for easy sample transport, long-term storage, and batch processing to eliminate technical noise.
- Archival power: Learn the optimized protocols for extracting transcriptomic data from FFPE blocks, turning years of stored samples into insights.
- Clinical logistics: See how Fixed Whole Blood workflows simplify multi-site clinical trials, enabling sample collection at the clinic and processing at a central facility.
- Unprecedented scale: Understand the workflow behind the 384-sample capacity and how to manage 8 million cells per chip while maintaining superior sensitivity and lower sequencing costs.
- Sample prep best practices: Technical guidance on cell counting and cleaning of fixed samples to ensure the highest library complexity.
Why should you join?
- New to single cell: Get a walkthrough of the Flex Apex workflow, from fixation to sequencing.
- Already running scRNA-seq: Learn how to multiplex up to 384 samples in a single run and scale to 8 million cells per chip.
- Working in biopharma: See how Fixed Whole Blood and FFPE workflows eliminate the logistical headaches of multi-site trials.
The webinar will consist of a ~45-minute presentation followed by a live Q&A session.
Speaker
Sravya Ganesh
Technical Support Scientist
10x Genomics
