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A rat liver cell atlas reveals intrahepatic myeloid heterogeneity.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: A rat liver cell atlas reveals intrahepatic myeloid heterogeneity.
Συγγραφείς: Pouyabahar D; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.; The Donnelly Centre, University of Toronto, Toronto, ON, Canada., Chung SW; Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, ON, Canada.; Department of Immunology, University of Toronto, Toronto, ON, Canada., Pezzutti OI; Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, ON, Canada., Perciani CT; Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, ON, Canada., Wang X; Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, ON, Canada., Ma XZ; Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, ON, Canada., Jiang C; Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, ON, Canada., Camat D; Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, ON, Canada.; Department of Immunology, University of Toronto, Toronto, ON, Canada., Chung T; Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, ON, Canada., Sekhon M; Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, ON, Canada.; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada., Manuel J; Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, ON, Canada., Chen XC; Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, ON, Canada., McGilvray ID; Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, ON, Canada., MacParland SA; Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, ON, Canada.; Department of Immunology, University of Toronto, Toronto, ON, Canada.; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada., Bader GD; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.; The Donnelly Centre, University of Toronto, Toronto, ON, Canada.; Department of Computer Science, University of Toronto, Toronto, ON, Canada.; Lunenfeld-Tanenbaum Research Institute, Toronto, ON, Canada.; Princess Margaret Research Institute, University Health Network, Toronto, ON, Canada.; The Multiscale Human Program, Canadian Institute for Advanced Research, Toronto, ON, Canada.
Πηγή: IScience [iScience] 2023 Oct 14; Vol. 26 (11), pp. 108213. Date of Electronic Publication: 2023 Oct 14 (Print Publication: 2023).
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Cell Press Country of Publication: United States NLM ID: 101724038 Publication Model: eCollection Cited Medium: Internet ISSN: 2589-0042 (Electronic) Linking ISSN: 25890042 NLM ISO Abbreviation: iScience Subsets: PubMed not MEDLINE
Imprint Name(s): Original Publication: [Cambridge, MA] : Cell Press, [2018]-
Περίληψη: The large size and vascular accessibility of the laboratory rat (Rattus norvegicus) make it an ideal hepatic animal model for diseases that require surgical manipulation. Often, the disease susceptibility and outcomes of inflammatory pathologies vary significantly between strains. This study uses single-cell transcriptomics to better understand the complex cellular network of the rat liver, as well as to unravel the cellular and molecular sources of inter-strain hepatic variation. We generated single-cell and single-nucleus transcriptomic maps of the livers of healthy Dark Agouti and Lewis rat strains and developed a factor analysis-based bioinformatics analysis pipeline to study data covariates, such as strain and batch. Using this approach, we discovered transcriptomic variation within the hepatocyte and myeloid populations that underlie distinct cell states between rat strains. This finding will help provide a reference for future investigations on strain-dependent outcomes of surgical experiment models.
(© 2023 The Author(s).)
Competing Interests: G.D.B. is an advisor for Deep Genomics and is on the Scientific Advisory Board of Adela Bio.
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Grant Information: P41 GM103504 United States GM NIGMS NIH HHS
Contributed Indexing: Keywords: Components of the immune system; Model organism; Transcriptomics
Entry Date(s): Date Created: 20231129 Latest Revision: 20240130
Update Code: 20260130
PubMed Central ID: PMC10651689
DOI: 10.1016/j.isci.2023.108213
PMID: 38026201
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:2589-0042
DOI:10.1016/j.isci.2023.108213