Single cell RNA sequencing has entered a new era. The latest GEM-X Flex system from 10x Genomics introduces a plate-based multiplexing approach that makes large-scale single cell and multiomic studies faster, simpler, and more efficient than ever before.
Join our upcoming webinar to explore how GEM-X Flex, together with the Universal Gene Expression and Epi Chromatin solutions, enables high-resolution molecular profiling across a wide range of research applications, from basic biology to translational and clinical studies.
What you'll learn
A complete single cell ecosystem
Learn how the GEM-X Flex, GEM-X Universal 3' and 5', and Next GEM Epi solutions cover every stage of single cell and spatial transcriptomic research. These complementary tools provide researchers with unmatched flexibility for gene expression and chromatin accessibility studies.
Scale without limits
See how plate-based multiplexing delivers exceptional throughput, allowing up to 384 samples and one million cells per channel, or up to 8 million cells per chip. This adaptable format lets you process samples at your own pace while reducing reagent use and experimental waste.
Broad sample compatibility
Discover simple fixation protocols that preserve cellular integrity and enable the use of diverse materials, including fresh, frozen, and FFPE samples. This versatility makes GEM-X Flex ideal for longitudinal and multi-site studies, ensuring consistent data quality across all conditions.
Multiomic insight with precision
Uncover how integrated workflows allow the simultaneous analysis of gene expression, surface and intracellular proteins, and CRISPR sgRNA capture for perturbation studies. The improved probe-based chemistry delivers high sensitivity and reproducibility, matching or exceeding previous versions.
The session includes a 40-minute presentation followed by a live Q&A, providing a clear overview of how the 10x Genomics single cell portfolio can elevate your research from single samples to massive-scale studies.
Don't miss this opportunity to see the future of high-throughput single cell analysis in action.