Comparison of 3' GEM-X and PIPseq V on human immune cells

Single cell technologies are rapidly evolving. Here, we benchmarked two state-of-the-art profiling techniques, 10x Genomics 3' GEMX and Illumina PIPseq V, for performance, including cell type ID and cluster inference. Our results provide insights into the future of single-cell technologies Overall design: PBMCs from a healthy human donor were split and processed in parallel with two technologies for scRNA-seq, 3' GEM-X and PIPseq v5

单细胞技术正处于快速迭代演进的阶段。本研究针对两项前沿单细胞表征技术——10x Genomics 3' GEMX与Illumina PIPseq V，开展性能基准测试，覆盖细胞类型鉴定与聚类推断两大核心性能维度。本研究结果可为单细胞技术的未来发展提供重要参考依据。
实验设计方案：从健康人类供体中分离外周血单个核细胞（peripheral blood mononuclear cells, PBMCs），将样本均分后，分别采用两种单细胞RNA测序（single-cell RNA sequencing, scRNA-seq）技术——3' GEM-X与PIPseq v5进行平行实验处理。