Genshaft Alex S, Li Shuqiang, Gallant Caroline J, Darmanis Spyros, Prakadan Sanjay M, Ziegler Carly G K, Lundberg Martin, Fredriksson Simon, Hong Joyce, Regev Aviv, Livak Kenneth J, Landegren Ulf, Shalek Alex K
Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.
Genome Biol. 2016 Sep 19;17(1):188. doi: 10.1186/s13059-016-1045-6.
We present a scalable, integrated strategy for coupled protein and RNA detection from single cells. Our approach leverages the DNA polymerase activity of reverse transcriptase to simultaneously perform proximity extension assays and complementary DNA synthesis in the same reaction. Using the Fluidigm C1™ system, we profile the transcriptomic and proteomic response of a human breast adenocarcinoma cell line to a chemical perturbation, benchmarking against in situ hybridizations and immunofluorescence staining, as well as recombinant proteins, ERCC Spike-Ins, and population lysate dilutions. Through supervised and unsupervised analyses, we demonstrate synergies enabled by simultaneous measurement of single-cell protein and RNA abundances. Collectively, our generalizable approach highlights the potential for molecular metadata to inform highly-multiplexed single-cell analyses.
我们提出了一种可扩展的集成策略,用于从单细胞中进行蛋白质和RNA的耦合检测。我们的方法利用逆转录酶的DNA聚合酶活性,在同一反应中同时进行邻近延伸分析和互补DNA合成。使用Fluidigm C1™系统,我们分析了人乳腺腺癌细胞系对化学扰动的转录组和蛋白质组反应,并与原位杂交、免疫荧光染色以及重组蛋白、ERCC Spike-In和群体裂解物稀释进行了基准比较。通过监督和无监督分析,我们证明了同时测量单细胞蛋白质和RNA丰度所带来的协同作用。总体而言,我们这种可推广的方法突出了分子元数据为高度多重单细胞分析提供信息的潜力。