Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.
UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA.
Genome Biol. 2020 Feb 24;21(1):49. doi: 10.1186/s13059-020-01958-9.
Single-cell RNA sequencing has emerged as a powerful tool for characterizing cells, but not all phenotypes of interest can be observed through changes in gene expression. Linking sequencing with optical analysis has provided insight into the molecular basis of cellular function, but current approaches have limited throughput. Here, we present a high-throughput platform for linked optical and gene expression profiling of single cells. We demonstrate accurate fluorescence and gene expression measurements on thousands of cells in a single experiment. We use the platform to characterize DNA and RNA changes through the cell cycle and correlate antibody fluorescence with gene expression. The platform's ability to isolate rare cell subsets and perform multiple measurements, including fluorescence and sequencing-based analysis, holds potential for scalable multi-modal single-cell analysis.
单细胞 RNA 测序已成为一种强大的工具,用于描述细胞特征,但并非所有感兴趣的表型都可以通过基因表达的变化来观察到。将测序与光学分析相结合,为细胞功能的分子基础提供了深入的了解,但目前的方法通量有限。在这里,我们提出了一种高通量的单细胞光学和基因表达分析平台。我们在单个实验中对数千个细胞进行了准确的荧光和基因表达测量。我们使用该平台通过细胞周期来描述 DNA 和 RNA 的变化,并将抗体荧光与基因表达相关联。该平台能够分离罕见的细胞亚群并进行多次测量,包括荧光和基于测序的分析,为可扩展的多模态单细胞分析提供了潜力。