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High-Spatial-Resolution Multi-Omics Sequencing via Deterministic Barcoding in Tissue.
Liu, Yang; Yang, Mingyu; Deng, Yanxiang; Su, Graham; Enninful, Archibald; Guo, Cindy C; Tebaldi, Toma; Zhang, Di; Kim, Dongjoo; Bai, Zhiliang; Norris, Eileen; Pan, Alisia; Li, Jiatong; Xiao, Yang; Halene, Stephanie; Fan, Rong.
Afiliación
  • Liu Y; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA; Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA.
  • Yang M; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA; Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA.
  • Deng Y; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA; Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA.
  • Su G; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA; Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA.
  • Enninful A; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
  • Guo CC; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
  • Tebaldi T; Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA; Section of Hematology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT 06520, USA.
  • Zhang D; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
  • Kim D; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
  • Bai Z; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
  • Norris E; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
  • Pan A; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
  • Li J; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
  • Xiao Y; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
  • Halene S; Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA; Section of Hematology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT 06520, USA.
  • Fan R; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA; Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA; Human and Translational Immunology Program, Yale School of Medicine, New Haven, CT 06520, USA. Electronic address: rong.fa
Cell ; 183(6): 1665-1681.e18, 2020 12 10.
Article en En | MEDLINE | ID: mdl-33188776
ABSTRACT
We present deterministic barcoding in tissue for spatial omics sequencing (DBiT-seq) for co-mapping of mRNAs and proteins in a formaldehyde-fixed tissue slide via next-generation sequencing (NGS). Parallel microfluidic channels were used to deliver DNA barcodes to the surface of a tissue slide, and crossflow of two sets of barcodes, A1-50 and B1-50, followed by ligation in situ, yielded a 2D mosaic of tissue pixels, each containing a unique full barcode AB. Application to mouse embryos revealed major tissue types in early organogenesis as well as fine features like microvasculature in a brain and pigmented epithelium in an eye field. Gene expression profiles in 10-µm pixels conformed into the clusters of single-cell transcriptomes, allowing for rapid identification of cell types and spatial distributions. DBiT-seq can be adopted by researchers with no experience in microfluidics and may find applications in a range of fields including developmental biology, cancer biology, neuroscience, and clinical pathology.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Especificidad de Órganos / Genómica / Código de Barras del ADN Taxonómico Tipo de estudio: Prognostic_studies Límite: Animals / Female / Humans Idioma: En Revista: Cell Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Especificidad de Órganos / Genómica / Código de Barras del ADN Taxonómico Tipo de estudio: Prognostic_studies Límite: Animals / Female / Humans Idioma: En Revista: Cell Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos