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Published: Feb 5, 2019 DOI: 10.21769/BioProtoc.3161 Views: 7892
Edited by: Modesto Redrejo-Rodriguez Reviewed by: Lokesh KalekarAnna M. Köhler
Abstract
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.
Keywords: AbSeqBackground
Analyzing individual blood cells can identify their specific role in fighting disease. To understand why cells differ from each other, we need to understand which genes are transcribed (and ultimately expressed as proteins) at a single-cell level. Understanding cellular diversity at both protein and transcriptional levels is critical for elucidating mechanisms of pathogenesis, response to therapeutics, and disease prevention (Han et al., 2014; Landhuis, 2018). The BD Rhapsody Single-cell Analysis System is designed to assess cellular heterogeneity present in biological samples by capturing and sequencing thousands of single cells. The system uses oligonucleotide-conjugated antibodies and a targeted gene panel that utilizes multiplex PCR for detecting hundreds of genes of interest in immunity or cancer (Newell et al., 2012; Wills et al., 2013). A combinatorial library of beads bearing cell- and molecular-barcoding capture probes is used to uniquely label transcripts (UMI).
This allows for reconstruction of the digital gene expression profile of thousands of individual cells in a single experiment without the need for robotics or automation (Shapiro et al., 2013; Fu et al., 2014a and 2014b). Rather than probing the whole transcriptome, this technology focuses on several hundred transcripts, which cuts the number of sequencing reads about tenfold. The BD Rhapsody Targeted Panel can yield more sequencing depth with much fewer (< 2%) sequencing reads per cell and thus facilitates a more affordable single-cell snapshot of heterogeneous subpopulations in single live cells (Fan et al., 2015; Lam et al., 2018; Martin et al., 2018). High sensitivity is demonstrated by the detection of low-abundance transcripts and rare cells. We implemented the Rhapsody Single-cell Analysis System (Reference 1) to assess cellular heterogeneity present in PBMC in this study. BD Rhapsody empowers single-cell data by making experiments easier and more cost-efficient, without using robotics or automation. There are basically no limitations for this approach, as long as there are enough cells (> 1,000 cells) to start with. No other alternative methods for such targeted RNAseq + Abseq are commercially available at the moment.
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Category
Immunology > Immune cell function > General
Molecular Biology > RNA > Transcription
Cell Biology > Cell-based analysis > Gene expression
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