高分辨率空间转录组学用于组织原位分析。
High-definition spatial transcriptomics for in situ tissue profiling.
机构信息
Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
出版信息
Nat Methods. 2019 Oct;16(10):987-990. doi: 10.1038/s41592-019-0548-y. Epub 2019 Sep 9.
Spatial and molecular characteristics determine tissue function, yet high-resolution methods to capture both concurrently are lacking. Here, we developed high-definition spatial transcriptomics, which captures RNA from histological tissue sections on a dense, spatially barcoded bead array. Each experiment recovers several hundred thousand transcript-coupled spatial barcodes at 2-μm resolution, as demonstrated in mouse brain and primary breast cancer. This opens the way to high-resolution spatial analysis of cells and tissues.
空间和分子特征决定了组织功能，但缺乏同时捕捉这两者的高分辨率方法。在这里，我们开发了高清晰度空间转录组学，它可以在密集的、空间条形码珠阵列上从组织学组织切片中捕获 RNA。每个实验以 2μm 的分辨率恢复了几十万转录偶联的空间条形码，这在小鼠大脑和原发性乳腺癌中得到了证明。这为细胞和组织的高分辨率空间分析开辟了道路。
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