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Microscopic examination of spatial transcriptome using Seq-Scope.
Cho, Chun-Seok; Xi, Jingyue; Si, Yichen; Park, Sung-Rye; Hsu, Jer-En; Kim, Myungjin; Jun, Goo; Kang, Hyun Min; Lee, Jun Hee.
Afiliação
  • Cho CS; Department of Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
  • Xi J; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
  • Si Y; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
  • Park SR; Department of Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
  • Hsu JE; Department of Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
  • Kim M; Department of Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
  • Jun G; Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  • Kang HM; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
  • Lee JH; Department of Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA. Electronic address: leeju@umich.edu.
Cell ; 184(13): 3559-3572.e22, 2021 06 24.
Article em En | MEDLINE | ID: mdl-34115981
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcriptoma / Microscopia Limite: Animals Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcriptoma / Microscopia Limite: Animals Idioma: En Ano de publicação: 2021 Tipo de documento: Article