Protein- and Sequencing-based Massively Parallel Single-cell Approaches to Gene Expression Profiling
用于基因表达谱分析的基于蛋白和测序的大规模平行单细胞技术 Understanding cellular diversity and dynamics in immune cells are critical for elucidating mechanisms of diagnosis, response to therapeutics, and patient prognosis. Our goal is to apply a technically simple approach for gene expression cytometry combining next-generation sequencing with stochastic barcoding of single cells. The BD Rhapsody Single-cell Analysis System was implemented to assess cellular heterogeneity present in 10 Dynabead-sorted human T cell samples. We captured and sequenced over 40,000 single cells across 10 samples. We used oligonucleotide-conjugated antibodies and an immune targeted gene panel that utilizes multiplex PCR for detection of several hundred genes of interest. A combinatorial library of beads bearing cell- and molecular-barcoding capture probes was used to uniquely label transcripts. This allowed for reconstruction of the digital gene expression profile of thousands of individual cells in a single experiment without the need for robotics or automation. We demonstrate the ability of the BD Rhapsody targeted panel to distinguish six different cell types and 18 distinct gene-expression biomarkers, including CLEC4E, CSF2, IL1RN, TPSAB1, CCL19, CCL22, CXCL2, LAMP3, SPP1, and VMO. The BD Rhapsody targeted panel yields more sequencing depth with much fewer (< 2%) sequencing reads per cell. The measurement of specific proteins and transcripts in individual cells is critical for understanding the role of cellular diversity in development, health, and disease.