生物
转录组
计算生物学
范围(计算机科学)
基因
计算机科学
遗传学
基因表达
程序设计语言
作者
Chun‐Seok Cho,Jingyue Xi,Yichen Si,Sung-Rye Park,Jer-En Hsu,Myungjin Kim,Goo Jun,Hyun Min Kang,Jun Hee Lee
出处
期刊:Cell
[Elsevier]
日期:2021-06-01
卷期号:184 (13): 3559-3572.e22
被引量:272
标识
DOI:10.1016/j.cell.2021.05.010
摘要
Summary
Spatial barcoding technologies have the potential to reveal histological details of transcriptomic profiles; however, they are currently limited by their low resolution. Here, we report Seq-Scope, a spatial barcoding technology with a resolution comparable to an optical microscope. Seq-Scope is based on a solid-phase amplification of randomly barcoded single-molecule oligonucleotides using an Illumina sequencing platform. The resulting clusters annotated with spatial coordinates are processed to expose RNA-capture moiety. These RNA-capturing barcoded clusters define the pixels of Seq-Scope that are ∼0.5–0.8 μm apart from each other. From tissue sections, Seq-Scope visualizes spatial transcriptome heterogeneity at multiple histological scales, including tissue zonation according to the portal-central (liver), crypt-surface (colon) and inflammation-fibrosis (injured liver) axes, cellular components including single-cell types and subtypes, and subcellular architectures of nucleus and cytoplasm. Seq-Scope is quick, straightforward, precise, and easy-to-implement and makes spatial single-cell analysis accessible to a wide group of biomedical researchers.
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