Transcriptomics

Dataset Information

0

Single-cell transcriptomic profiling of healthy and fibrotic adult zebrafish liver reveals conserved cell identities and pathways with human liver


ABSTRACT: Liver fibrosis is the excessive accumulation of extracellular matrix that can progress to cirrhosis and failure if untreated. The mechanisms of fibrogenesis are multi-faceted and remain elusive with no approved antifibrotic treatments available. Here we use single-cell RNA sequencing (scRNA-seq) of the adult zebrafish liver to study the molecular and cellular dynamics of the liver at a single-cell level and demonstrate the value of the adult zebrafish as a model for studying liver fibrosis. scRNA-seq reveals transcriptionally unique populations of hepatic cell types that comprise the zebrafish liver. Joint clustering with human liver scRNA-seq data demonstrates high conservation of transcriptional profiles and human marker genes in zebrafish cell types. Human and zebrafish hepatic stellate cells (HSCs), the driver cell in liver fibrosis, specifically show conservation of transcriptional profiles and we uncover Colec11 as a novel, conserved marker for zebrafish HSCs. To demonstrate the power of scRNA-seq to study liver fibrosis, we performed scRNA-seq on our zebrafish model of a pediatric liver disease with characteristic early, progressive liver fibrosis caused by mutation in mannose phosphate isomerase (MPI). Comparison of differentially expressed genes from human and zebrafish MPI mutant HSC datasets demonstrated similar activation of fibrosis signaling pathways and upstream regulators. CellPhoneDB analysis revealed important receptor-ligand interactions within normal and fibrotic states. This study establishes the first scRNA-seq atlas of the adult zebrafish liver, highlights the high degree of similarity to the human liver, and strengthens its value as a model to study liver fibrosis.

ORGANISM(S): Francisella tularensis subsp. tularensis SCHU S4 Danio rerio

PROVIDER: GSE181987 | GEO | 2022/03/23

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2016-03-23 | E-GEOD-68108 | biostudies-arrayexpress
2024-05-16 | PXD050337 | Pride
2012-08-28 | E-GEOD-40381 | biostudies-arrayexpress
2022-05-07 | E-MTAB-10225 | biostudies-arrayexpress
2015-08-12 | E-GEOD-68001 | biostudies-arrayexpress
2024-08-13 | PXD047924 | Pride
2023-03-29 | GSE227902 | GEO
2023-03-29 | GSE227901 | GEO
| PRJNA93567 | ENA
2020-01-27 | GSE140641 | GEO