2019
DOI: 10.1016/j.celrep.2019.10.024
|View full text |Cite
|
Sign up to set email alerts
|

Single-Cell Transcriptomics Uncovers Zonation of Function in the Mesenchyme during Liver Fibrosis

Abstract: SummaryIterative liver injury results in progressive fibrosis disrupting hepatic architecture, regeneration potential, and liver function. Hepatic stellate cells (HSCs) are a major source of pathological matrix during fibrosis and are thought to be a functionally homogeneous population. Here, we use single-cell RNA sequencing to deconvolve the hepatic mesenchyme in healthy and fibrotic mouse liver, revealing spatial zonation of HSCs across the hepatic lobule. Furthermore, we show that HSCs partition into topog… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

25
301
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 278 publications
(327 citation statements)
references
References 67 publications
(100 reference statements)
25
301
1
Order By: Relevance
“…GEO (https://www.ncbi.nlm.nih.gov/geo/) or Human Cell Atlas (https://www.humancellatlas.org). Totally, we curated single cell gene expression matrices of 13 human tissues, including lung [8], liver [9], ileum [10], rectum [10], blood [11], bone marrow [12], skin [13], spleen [14], esophagus [14], colon [15], eye [16], stomach [17] and kidney [18] (Table S1). For each tissue, we performed cell clustering and dimension reduction on the scaled gene expression matrix using Seurat package [19].…”
Section: Cell Type Identification In 13 Human Tissuesmentioning
confidence: 99%
“…GEO (https://www.ncbi.nlm.nih.gov/geo/) or Human Cell Atlas (https://www.humancellatlas.org). Totally, we curated single cell gene expression matrices of 13 human tissues, including lung [8], liver [9], ileum [10], rectum [10], blood [11], bone marrow [12], skin [13], spleen [14], esophagus [14], colon [15], eye [16], stomach [17] and kidney [18] (Table S1). For each tissue, we performed cell clustering and dimension reduction on the scaled gene expression matrix using Seurat package [19].…”
Section: Cell Type Identification In 13 Human Tissuesmentioning
confidence: 99%
“…In both murine models, Tcf21 expression was reduced under conditions where HSCs are activated, a finding we verified (data not shown) using recently published HSC single-cell RNA-sequencing data sets. (9,10) Moreover, TCF21 levels were restored in a fraction of deactivated HSCs following fibrosis regression in the chronic CCl 4 model, suggesting a strong correlation between TCF21 expression and HSC quiescence.…”
Section: See Article On Page 1437mentioning
confidence: 93%
“…Exciting single-cell sequencing studies of liver cell populations further reinforce the heterogeneity and plasticity of macrophage subsets in rodent models and human disease. (9,10) However, the normalization of liver architecture by overexpression of a transcription factor, TCF21, in HSCs refocuses attention on this cell type in not only driving fibrosis but also restoring the liver's architecture once injury subsides. This finding underscores the importance in future studies of identifying restorative mediators secreted by HSCs and how they interact with other resident liver cells, especially sinusoidal endothelial cells, hepatocytes, as well as resident macrophages and infiltrating monocytes.…”
Section: See Article On Page 1437mentioning
confidence: 99%
“…(3) Additionally, in a parallel Cell Reports paper, the same group verified hepatic stellate cell (HSC) subpopulation zonation within the murine fibrotic niche using scRNAseq. (4) scRNAseq has emerged as a powerful methodology to link genotype with phenotype and reveal transcriptional culprits of diseases. Starting from a range of platforms such as smaller-scale laser capture microdissection to larger-scale flow-activated cell sorting (FACS) and microfluidics, RNAseq applied to individual cells can be used to identify cellular subpopulations, unfold the history of a cell's transcriptome (pseudotime reconstruction), and reconstruct gene regulatory networks.…”
Section: The Transcriptome Of Hepatic Fibrosis Revealed By Single-celmentioning
confidence: 99%
“…(3) In a complementary study, this group further orders the topographical distribution of HSCs into subpopulations within the fibrotic niche of the carbon tetrachloride murine model of centrilobular fibrosis using scRNAseq, finding that central vein-associated HSCs (expressing ADAM metallopeptidase with thrombospondin like 2 and R-spondin 3) produce more collagen than portal vein-associated HSCs (expressing nerve growth factor receptor and integrin subunit beta 3). (4) Whether portal vein-associated HSCs produce the majority of collagen in periportal models of liver injury remains to be determined.…”
Section: The Transcriptome Of Hepatic Fibrosis Revealed By Single-celmentioning
confidence: 99%