Single-cell genomics and spatial transcriptomics: discovery of novel cell states and cellular interactions in liver physiology and disease biology - Institut de recherche sur les maladies virales et hépatiques Accéder directement au contenu
Article Dans Une Revue Journal of Hepatology Année : 2020

Single-cell genomics and spatial transcriptomics: discovery of novel cell states and cellular interactions in liver physiology and disease biology

Résumé

Transcriptome analysis allows the study of gene expression of human tissues and it is a valuable tool to characterize liver function, gene expression changes during liver disease, identify prognostic markers or signatures, and to facilitate discovery of new therapeutic targets. In contrast to whole tissue RNA sequencing analysis, single-cell RNA-sequencing (scRNA-seq) and spatial transcriptomics enables the study of transcriptional activity at the single cell or spatial level. ScRNA-seq has paved the way to the discovery of previously unknown cell types and subtypes in normal and diseased liver, the study of rare cells such as liver progenitor cells as well as the functional role of non-parenchymal cells in chronic liver disease and cancer. By adding spatial information to scRNA-seq data, spatial transcriptomics transforms understanding of tissue functional organization and cell-to-cell interactions in their native environment. These approaches have recently been applied to investigate liver regeneration, organization and division of labor of hepatocytes and non-parenchymal cells, and to profile the single cell landscape of chronic liver diseases and cancer. Here we review the principles and technologies behind scRNA-seq and spatial transcriptomics approaches, highlighting the recent discoveries and novel insights these methodologies have yielded in both liver physiology and disease biology.
Fichier principal
Vignette du fichier
S016882782030372X.pdf (2.42 Mo) Télécharger le fichier
Origine : Publication financée par une institution
licence : CC BY - Paternité

Dates et versions

hal-02921181 , version 1 (17-10-2022)
hal-02921181 , version 2 (17-10-2023)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

Citer

Antonio Saviano, Neil C. Henderson, Thomas F. Baumert. Single-cell genomics and spatial transcriptomics: discovery of novel cell states and cellular interactions in liver physiology and disease biology. Journal of Hepatology, 2020, ⟨10.1016/j.jhep.2020.06.004⟩. ⟨hal-02921181v2⟩
160 Consultations
126 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More