Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA.
Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Nat Methods. 2022 Nov;19(11):1403-1410. doi: 10.1038/s41592-022-01653-6. Epub 2022 Oct 24.
RNA labeling in situ has enormous potential to visualize transcripts and quantify their levels in single cells, but it remains challenging to produce high levels of signal while also enabling multiplexed detection of multiple RNA species simultaneously. Here, we describe clampFISH 2.0, a method that uses an inverted padlock design to efficiently detect many RNA species and exponentially amplify their signals at once, while also reducing the time and cost compared with the prior clampFISH method. We leverage the increased throughput afforded by multiplexed signal amplification and sequential detection to detect 10 different RNA species in more than 1 million cells. We also show that clampFISH 2.0 works in tissue sections. We expect that the advantages offered by clampFISH 2.0 will enable many applications in spatial transcriptomics.
原位 RNA 标记具有可视化转录本并定量检测单细胞中其水平的巨大潜力,但同时产生高信号水平并实现同时多重检测多种 RNA 种类仍然具有挑战性。在这里,我们描述了 clampFISH 2.0,这是一种使用反向套索设计的方法,可有效检测多种 RNA 种类,并同时指数级扩增它们的信号,同时与之前的 clampFISH 方法相比,还减少了时间和成本。我们利用多重信号放大和顺序检测提供的更高通量,在 100 多万个细胞中检测 10 种不同的 RNA 种类。我们还表明,clampFISH 2.0 在组织切片中也能发挥作用。我们预计 clampFISH 2.0 所提供的优势将使空间转录组学中的许多应用成为可能。