arrow
Return

Expansion spatial transcriptomics

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

Abstract

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.
Keywords:
GENE-EXPRESSION
TISSUE
ARCHITECTURE
ATLAS
SEQ

Journal

Nature Methods cover
Nature Methods
IF:
32.1
Papers:
7.2K
Citations:
12.7W

Organization

S
Stanford University
Scholars:
9.6W
Papers: 8.2W
Citations: 17.0W
R
Royal Institute of Technology
Scholars:
1.8W
Papers: 1.8W
Citations: 25