转录组
聚腺苷酸
计算生物学
生物
计算机科学
基因表达
基因
遗传学
作者
Yuhang Fan,Žaneta Andrusivová,Yunming Wu,Chew Chai,Ludvig Larsson,Mengxiao He,Liqun Luo,Joakim Lundeberg,Bo Wang
出处
期刊:Nature Methods
[Springer Nature]
日期:2023-06-22
卷期号:20 (8): 1179-1182
被引量:19
标识
DOI:10.1038/s41592-023-01911-1
摘要
Capture array-based spatial transcriptomics methods have been widely used to resolve gene expression in tissues; however, their spatial resolution is limited by the density of the array. Here we present expansion spatial transcriptomics to overcome this limitation by clearing and expanding tissue prior to capturing the entire polyadenylated transcriptome with an enhanced protocol. This approach enables us to achieve higher spatial resolution while retaining high library quality, which we demonstrate using mouse brain samples. Expansion spatial transcriptomics (Ex-ST) combines the power of tissue expansion with an improved RNA capture protocol for carrying out capture array-based spatial transcriptomics at high spatial resolution.
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