CS Genetics, a pioneering genomics technology company based in San Diego, California, has significantly advanced the field of single-cell RNA sequencing (scRNA-seq) with the commercial launch of its 96-sample SimpleCell 3' Gene Expression Kit. This new high-throughput offering expands their existing SimpleCell platform, which previously included 8- and 16-sample kits, providing researchers with unparalleled flexibility and scalability for their studies.
The SimpleCell platform stands out due to its fundamentally different approach to single-cell genomics: it's entirely instrument-free. This means researchers no longer need to invest in expensive, specialized equipment or rely on complex microfluidic systems. Instead, the technology seamlessly integrates into standard laboratory infrastructure, utilizing familiar plasticware and equipment. This accessibility dramatically reduces the cost and complexity typically associated with single-cell analysis, democratizing access to high-resolution biological insights.
At the heart of the SimpleCell platform is a unique molecular process called "Kinetic Confinement." This novel thermodynamic approach controls molecular diffusion to enable high-fidelity indexing of molecules across thousands of cells simultaneously within a single solution-phase reaction. This innovative method ensures consistent and high-quality data across large experimental designs, which is crucial for the reliability of large-scale studies.
The introduction of the 96-sample kit allows researchers to process a significantly larger number of independent samples in parallel, leading to substantial reductions in per-sample cost and processing time. This enhanced throughput makes SimpleCell an ideal solution for a new generation of large-scale studies, including high-throughput drug screening, multi-condition assays, and the generation of rich, scalable single-cell datasets essential for artificial intelligence (AI)-driven discovery workflows. The SimpleCell 3' Gene Expression Kit's instrument-free, same-day workflow further streamlines the research process, empowering scientists to accelerate their discoveries in various biological and medical fields.