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Seq-Scope: Submicrometer-resolution spatial transcriptomics for single cell and subcellular studies

Chun-Seok Cho, Jingyue Xi, Sung-Rye Park, Jer-En Hsu, Myungjin Kim, Goo Jun, View ORCID ProfileHyun-Min Kang, View ORCID ProfileJun Hee Lee
doi: https://doi.org/10.1101/2021.01.25.427807
Chun-Seok Cho
1Department of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
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Jingyue Xi
2Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
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Sung-Rye Park
1Department of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
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Jer-En Hsu
1Department of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
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Myungjin Kim
1Department of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
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Goo Jun
3Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA.
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Hyun-Min Kang
2Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
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Jun Hee Lee
1Department of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
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  • ORCID record for Jun Hee Lee
  • For correspondence: leeju@umich.edu
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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 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.

Competing Interest Statement

Jun Hee Lee is an inventor on pending patent applications related to the development of Seq-Scope.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted January 27, 2021.
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Seq-Scope: Submicrometer-resolution spatial transcriptomics for single cell and subcellular studies
Chun-Seok Cho, Jingyue Xi, Sung-Rye Park, Jer-En Hsu, Myungjin Kim, Goo Jun, Hyun-Min Kang, Jun Hee Lee
bioRxiv 2021.01.25.427807; doi: https://doi.org/10.1101/2021.01.25.427807
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Seq-Scope: Submicrometer-resolution spatial transcriptomics for single cell and subcellular studies
Chun-Seok Cho, Jingyue Xi, Sung-Rye Park, Jer-En Hsu, Myungjin Kim, Goo Jun, Hyun-Min Kang, Jun Hee Lee
bioRxiv 2021.01.25.427807; doi: https://doi.org/10.1101/2021.01.25.427807

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