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Series GSE181987 Query DataSets for GSE181987
Status Public on Mar 23, 2022
Title Single-cell transcriptomic profiling of healthy and fibrotic adult zebrafish liver reveals conserved cell identities and pathways with human liver
Platform organism Danio rerio
Sample organisms Danio rerio; Francisella tularensis subsp. tularensis SCHU S4
Experiment type Expression profiling by high throughput sequencing
Third-party reanalysis
Summary 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.
 
Overall design Single-cell RNA sequencing analysis of adult zebrafish liver tissue from mpi+/- (mss7) and WT siblings

Please note that the Series supplementary files were generated from multiple samples as following:
zf_WT_MPIMT_EC_HSC_subset - GSM5515731-GSM5515736
zf_WT_MPIMT_liver - GSM5515731-GSM5515736
zf_liver_atlas - GSM5515731-GSM5515733
joint_fish_human - GSM5515731-GSM5515733 as well as data from GSE115469 (samples GSM317872-317876).
and the description of each file is provided in the readme.txt.
 
Contributor(s) Morrison JK, Chu J, Giri M
Citation(s) 35315595
Submission date Aug 12, 2021
Last update date Jun 22, 2022
Contact name Jaime Chu
E-mail(s) jaime.chu@mssm.edu
Phone 2122410227
Organization name Icahn School of Medicine at Mount Sinai
Department Pediatrics
Lab Jaime Chu Lab
Street address 1 Gustave L. Levy Place, Annenberg 14-12
City New York
State/province NY
ZIP/Postal code 10029
Country USA
 
Platforms (1)
GPL20828 Illumina NextSeq 500 (Danio rerio)
Samples (6)
GSM5515731 WT 1
GSM5515732 WT 2
GSM5515733 WT 3
Relations
Reanalysis of GSM317872
Reanalysis of GSM317873
Reanalysis of GSM317874
Reanalysis of GSM317875
Reanalysis of GSM317876
BioProject PRJNA754150
SRA SRP332278

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE181987_RAW.tar 360.3 Mb (http)(custom) TAR (of MTX, TSV)
GSE181987_joint_fish_human.rds.gz 304.3 Mb (ftp)(http) RDS
GSE181987_joint_fish_human_cluster_marker_genes.xlsx 1.5 Mb (ftp)(http) XLSX
GSE181987_readme.txt 1023 b (ftp)(http) TXT
GSE181987_zf_WT_MPIMT_EC_HSC_subset.rds.gz 108.5 Mb (ftp)(http) RDS
GSE181987_zf_WT_MPIMT_EC_HSC_subset_cluster_marker_genes.xlsx 727.5 Kb (ftp)(http) XLSX
GSE181987_zf_WT_MPIMT_liver.rds.gz 707.4 Mb (ftp)(http) RDS
GSE181987_zf_WT_MPIMT_liver_cluster_marker_genes.xlsx 1.2 Mb (ftp)(http) XLSX
GSE181987_zf_liver_atlas.rds.gz 2.0 Gb (ftp)(http) RDS
GSE181987_zf_liver_atlas_cluster_marker_genes.xlsx 1.2 Mb (ftp)(http) XLSX
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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