JHEP ReportsCell BiologyPeer-reviewed journal article
A single-cell fixed RNA profiling of liver fibrosis progression and regression reveals SEMA4D and LMCD1 as key mediators of fibrogenesis
Pham Minh Duc, Lê Thị Thanh ThủyiD, Hoang HaiiD, Tran Van BaoiD, Nguyen Thi HaiD, Pham Tuan AnhiD, Hiroko IkenagaiD, Hideki FujiiiD, Kanako YoshidaiD, Masaru EnomotoiD, Sawako Uchida‐KobayashiiD, Hideto YuasaiD, Tsutomu MatsubaraiD, Vu Thuong Huyen, Yi ChengiD, Ryota YamagishiiD, Naoko OhtaniiD, Daisuke OikawaiD, Fuminori TokunagaiD, Tatiana KisselevaiD, David A. BrenneriD, Yasuko IwakiriiD, Jordi Gracia‐SanchoiD, Norifumi KawadaiD
Abstract
Liver fibrosis progression and regression are dynamic processes involving diverse hepatic and immune cell populations. Here, we utilize single-cell fixed RNA profiling (FLEX) of a TAA-induced mouse liver cirrhosis model, with and without a recovery phase, to depict the cellular landscape and molecular mechanisms of fibrosis resolution. The regression phase was characterized by the emergence of pericentral hepatocytes enriched in detoxification and antioxidant genes (e.g., Cyp2e1, Txn1), which secreted Rarres2 to modulate hepatic stellate cell (HSC) function. This was accompanied by the upregulation of scar-resolving genes (Mmp14, Ctsl), restoration of fenestrae in liver sinusoidal endothelial cells, anti-inflammatory phenotypes of Kupffer cells, a decrease in fibrogenic cholangiocyte subsets, and recovery-associated signatures in NK/T cells, B cells, and neutrophils. In contrast, SEMA4D secreted by monocyte-derived macrophages during fibrosis progression activated Plxnb2 HSCs, and its blockade attenuated fibrosis in vivo. Furthermore, LMCD1 was identified as a novel marker for HSC activation and regulation. This single-cell atlas reveals key transcriptional programs and intercellular signaling pathways dependent on the fibrotic condition, offering new therapeutic targets for liver cirrhosis.
- organism: mouse
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: cell-cell communication
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 2
- FWCI
- 8.17
- Field percentile
- top 4%
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