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High-definition spatial transcriptomics for in situ tissue profiling

delete2019-09-09
delete726
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OA
AI
S
Sanja Vicković *
G
Gökçen Eraslan
F
Fredrik Salmén
J
Johanna Klughammer
L
Linnea Stenbeck
D
Denis Schapiro
T
Tarmo Äijö
R
Richard Bonneau
L
Ludvig Bergenstråhle
J
José Fernández Navarro
J
Joshua Gould
G
Gabriel K. Griffin
Å
Åke Borg
M
Mostafa Ronaghi
J
Jonas Frisén
J
Joakim Lundeberg *
A
Aviv Regev
P
Patrik L. Ståhl
DOI:10.1038/s41592-019-0548-ydelete
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Abstract

Abstract

En 中文
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 transcriptcoupled spatial barcodes at 2-mu m resolution, as demonstrated in mouse brain and primary breast cancer. This opens the way to high-resolution spatial analysis of cells and tissues.
Keywords:
GENOME-WIDE EXPRESSION
GENE-EXPRESSION
SINGLE
CELLS
SEQ
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

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

Organization

H
Harvard University
Scholars:
26.2W
Papers: 21.9W
Citations: 28.7W
N
New York University
Scholars:
4.4W
Papers: 3.9W
Citations: 5.8W
R
Royal Institute of Technology
Scholars:
1.8W
Papers: 1.8W
Citations: 25
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