Cellular Research, Inc., 3183 Porter Drive, Palo Alto, CA 94304, USA.
Science. 2015 Feb 6;347(6222):1258367. doi: 10.1126/science.1258367.
We present a technically simple approach for gene expression cytometry combining next-generation sequencing with stochastic barcoding of single cells. A combinatorial library of beads bearing cell- and molecular-barcoding capture probes is used to uniquely label transcripts and reconstruct the digital gene expression profile of thousands of individual cells in a single experiment without the need for robotics or automation. We applied the technology to dissect the human hematopoietic system and to characterize heterogeneous response to in vitro stimulation. High sensitivity is demonstrated by detection of low-abundance transcripts and rare cells. Under current implementation, the technique can analyze a few thousand cells simultaneously and can readily scale to 10,000s or 100,000s of cells.
我们提出了一种将下一代测序与单细胞随机条形码技术相结合的用于基因表达细胞计量学的技术,该技术简单易行。该技术使用带有细胞和分子条形码捕获探针的组合珠库,可在无需机器人或自动化设备的情况下,在单次实验中对数千个单个细胞的转录本进行独特标记并重建其数字基因表达谱。我们应用该技术对人类造血系统进行了剖析,并对体外刺激的异质性反应进行了特征描述。该技术通过检测低丰度转录本和稀有细胞来证明其具有高灵敏度。在当前的实施方式下,该技术可以同时分析几千个细胞,并且可以轻松扩展到 10000 个或 100000 个细胞。