| Literature DB >> 34115981 |
Chun-Seok Cho1, Jingyue Xi2, Yichen Si2, Sung-Rye Park1, Jer-En Hsu1, Myungjin Kim1, Goo Jun3, Hyun Min Kang2, Jun Hee Lee4.
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.Entities:
Keywords: RNA capture; Spatial transcriptomics; colon; high resolution; histology; liver; molecular barcoding; scRNA-seq; spatial single cell analysis; subcellular analysis
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Year: 2021 PMID: 34115981 PMCID: PMC8238917 DOI: 10.1016/j.cell.2021.05.010
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 66.850