Label-free single-cell RNA multiplexing leveraging genetic variability

Single cell RNA sequencing has provided unprecedented insights into the molecular cues and cellular heterogeneity underlying human disease. However, the high costs and complexity of single cell methods remain a major obstacle for generating large-scale human cohorts. Here, we compare current state-of-the-art single cell multiplexing technologies, and provide a widely applicable demultiplexing method, SoupLadle , that enables simple, yet robust high-throughput multiplexing leveraging genetic variability of patients. Here the authors establish and benchmark a single cell RNA multiplexing framework that enables simple, yet robust high-throughput multiplexing leveraging single cell nucleotide polymorphisms of patients.