bioRxivCell BiologyPreprint
An Integrated Single-Cell Atlas Reveals Hepatic Stellate Cell Heterogeneity and Spatiotemporal Dynamics after Liver Injury
Jiongliang WangiD, Jiawang TaoiD, Cuicui Xia, Miaoxiu TangiD, Andrei-Florian StoicaiD, Shengxian YuaniD, Yinxiong LiiD, Lin Guo, Xiangqian KongiD, Jie WangiD
Abstract
BackgroundHepatic stellate cells (HSCs) orchestrate fibrosis-free repair after acute liver injury (ALI) and sustain fibrogenesis in chronic liver injury (CLI). However, the heterogeneity and spatiotemporal dynamics of HSCs across these different injury models remain elusive. This study sought to construct a cross-etiological HSC atlas to delineate HSC states and transitions during liver injury. MethodsWe integrated 86,072 single-cell transcriptomes from 84 mouse samples across four etiologies and validated findings using multi-omics data from 277 mouse and 798 human samples. Cellular dynamics were characterized through clustering, trajectory inference, spatial analysis, and multicellular coordination network analysis. Experimental validation included liver injury models and gain-of-functional assays in primary mouse HSCs and LX-2 cells. ResultsWe established a cross-etiological, spatiotemporally resolved HSC atlas comprising 11 subpopulations. Trajectory analysis delineated a continuous quiescence-activation-attenuation (QAA) trajectory, recapitulating the in vivo full spectrum of state transitions and being supported by sequential pathway activation validated in vitro. In ALI, HSCs spatiotemporally completed the QAA trajectory around injury zones, whereas collagen-producing S100a6 HSCs pathologically accumulated in mouse and human CLI due to trajectory dysregulation. Notably, the atlas identified a previously unrecognized apoptosis-prone Mrc2 HSC subtype strongly co-localized with p53 in both mice and humans. Overexpression of transcription factors confirmed that Hbp1, Tbx20, Atoh8, and Plagl1 enriched in Mrc2+ HSCs promoted HSC apoptosis. Finally, we revealed the microenvironment of distinct cellular modules which coordinated HSC progression along the QAA trajectory. A 531-gene signature derived from the inflammatory-fibrotic cellular module significantly correlated with fibrosis stage and hepatocellular carcinoma risk in human cohorts. ConclusionsWe established a comprehensive HSC atlas and delineates HSC heterogeneity and spatiotemporal dynamic across etiologies. Dysregulation of the QAA trajectory underlies fibrotic progression, providing a resource for identifying antifibrotic targets.
- organism: mouse
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: trajectory inference
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: deep learning
- approach: statistical model
- approach: machine learning (classical)
- Citations
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