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Expansion spatial transcriptomics

delete2023-06-22
delete15
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OA
AI
范雨航 封面图
范雨航 (Yuhang Fan)
Ž
Žaneta Andrusivová
Y
Yunming Wu
C
Chew Chai
L
Ludvig Larsson
M
Mengxiao He
罗立群 封面图
罗立群 (Liqun Luo)
J
Joakim Lundeberg *
汪波 封面图
汪波 (Bo Wang) *
DOI:10.1038/s41592-023-01911-1delete
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摘要

摘要

En 中文
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.
Keyword:
GENE-EXPRESSION
TISSUE
ARCHITECTURE
ATLAS
SEQ

期刊

Nature Methods 封面图
Nature Methods
IF:
32.1
论文数:
7.3K
被引数:
12.7W

机构

S
Stanford University
学者数:
9.6W
论文数: 8.2W
被引数: 17.0W
R
Royal Institute of Technology
学者数:
1.8W
论文数: 1.8W
被引数: 25
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