Seq-Scope: Submicrometer-resolution spatial transcriptomics for single cell and subcellular studies
Seq-Scope: Submicrometer-resolution spatial transcriptomics for single cell and subcellular studies
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 almost comparable to an optical microscope. Seq-Scope is based on a solid-phase amplification of randomly barcoded single-molecule oligonucleotides using an Illumina sequencing-by-synthesis 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 approximately 0.5-1 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, cytoplasm and mitochondria. Seq-scope is quick, straightforward and easy-to-implement, and makes spatial single cell analysis accessible to a wide group of biomedical researchers.
Park Sung-Rye、Hsu Jer-En、Kim Myungjin、Kang Hyun-Min、Lee Jun Hee、Cho Chun-Seok、Xi Jingyue、Jun Goo
Department of Molecular & Integrative Physiology, University of MichiganDepartment of Molecular & Integrative Physiology, University of MichiganDepartment of Molecular & Integrative Physiology, University of MichiganDepartment of Biostatistics, University of MichiganDepartment of Molecular & Integrative Physiology, University of MichiganDepartment of Molecular & Integrative Physiology, University of MichiganDepartment of Biostatistics, University of MichiganHuman Genetics Center, University of Texas Health Science Center at Houston
生物科学研究方法、生物科学研究技术基础医学分子生物学
Park Sung-Rye,Hsu Jer-En,Kim Myungjin,Kang Hyun-Min,Lee Jun Hee,Cho Chun-Seok,Xi Jingyue,Jun Goo.Seq-Scope: Submicrometer-resolution spatial transcriptomics for single cell and subcellular studies[EB/OL].(2025-03-28)[2025-05-13].https://www.biorxiv.org/content/10.1101/2021.01.25.427807.点此复制
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