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Single-Cell, Single-Nucleus, and Spatial RNA Sequencing of the Human Liver Identifies Cholangiocyte and Mesenchymal Heterogeneity.
Andrews, Tallulah S; Atif, Jawairia; Liu, Jeff C; Perciani, Catia T; Ma, Xue-Zhong; Thoeni, Cornelia; Slyper, Michal; Eraslan, Gökcen; Segerstolpe, Asa; Manuel, Justin; Chung, Sai; Winter, Erin; Cirlan, Iulia; Khuu, Nicholas; Fischer, Sandra; Rozenblatt-Rosen, Orit; Regev, Aviv; McGilvray, Ian D; Bader, Gary D; MacParland, Sonya A.
Affiliation
  • Andrews TS; Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, Canada.
  • Atif J; Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, Canada.
  • Liu JC; Department of Immunology, University of Toronto, Medical Sciences Building, 1 King's College Circle, Toronto, ON, Canada.
  • Perciani CT; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
  • Ma XZ; The Donnelly Centre, Toronto, ON, Canada.
  • Thoeni C; Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, Canada.
  • Slyper M; Department of Immunology, University of Toronto, Medical Sciences Building, 1 King's College Circle, Toronto, ON, Canada.
  • Eraslan G; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
  • Segerstolpe A; Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, Canada.
  • Manuel J; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
  • Chung S; Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
  • Winter E; Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
  • Cirlan I; Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
  • Khuu N; Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, Canada.
  • Fischer S; Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, Canada.
  • Rozenblatt-Rosen O; Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, Canada.
  • Regev A; Princess Margaret Genome Centre, University Health Network, Toronto, ON, Canada.
  • McGilvray ID; Princess Margaret Genome Centre, University Health Network, Toronto, ON, Canada.
  • Bader GD; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
  • MacParland SA; Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Hepatol Commun ; 6(4): 821-840, 2022 04.
Article de En | MEDLINE | ID: mdl-34792289
ABSTRACT
The critical functions of the human liver are coordinated through the interactions of hepatic parenchymal and non-parenchymal cells. Recent advances in single-cell transcriptional approaches have enabled an examination of the human liver with unprecedented resolution. However, dissociation-related cell perturbation can limit the ability to fully capture the human liver's parenchymal cell fraction, which limits the ability to comprehensively profile this organ. Here, we report the transcriptional landscape of 73,295 cells from the human liver using matched single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq). The addition of snRNA-seq enabled the characterization of interzonal hepatocytes at a single-cell resolution, revealed the presence of rare subtypes of liver mesenchymal cells, and facilitated the detection of cholangiocyte progenitors that had only been observed during in vitro differentiation experiments. However, T and B lymphocytes and natural killer cells were only distinguishable using scRNA-seq, highlighting the importance of applying both technologies to obtain a complete map of tissue-resident cell types. We validated the distinct spatial distribution of the hepatocyte, cholangiocyte, and mesenchymal cell populations by an independent spatial transcriptomics data set and immunohistochemistry.

Conclusion:

Our study provides a systematic comparison of the transcriptomes captured by scRNA-seq and snRNA-seq and delivers a high-resolution map of the parenchymal cell populations in the healthy human liver.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Analyse sur cellule unique / Foie Limites: Humans Langue: En Journal: Hepatol Commun Année: 2022 Type de document: Article Pays d'affiliation: Canada

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Analyse sur cellule unique / Foie Limites: Humans Langue: En Journal: Hepatol Commun Année: 2022 Type de document: Article Pays d'affiliation: Canada
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