Microscopic examination of spatial transcriptome using Seq-Scope.
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IF: 66.850
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Cited by: 179
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Abstract

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.

Keywords

Seq-Scope
Spatial Transcriptomics
RNA capture
Spatial transcriptomics
colon
high resolution
histology
liver
molecular barcoding
scRNA-seq
spatial single cell analysis
subcellular analysis

MeSH terms

Animals
Cell Nucleus
Colon
Gene Expression Regulation
Hepatocytes
Inflammation
Liver
Male
Mice, Inbred C57BL
Microscopy
Mitochondria
RNA
Single-Cell Analysis
Transcriptome
Mice

Authors

Cho, Chun-Seok
Xi, Jingyue
Si, Yichen
Park, Sung-Rye
Hsu, Jer-En
Kim, Myungjin
Jun, Goo
Kang, Hyun Min
Lee, Jun Hee

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