Key genes in the liver fibrosis process are mined based on single-cell transcriptomics

Area of Science:

• * Molecular biology
• * Genomics
• * Hepatology

Background:

• * Liver fibrosis lacks effective treatments and is a significant cause of mortality.
• * Hepatic stellate cells transform into cancer-promoting myofibroblasts during liver injury.
• * Understanding the molecular mechanisms of this transformation is crucial for developing therapies.

Purpose of the Study:

• * To identify key regulatory factors and core driver genes in myofibroblast transformation during liver fibrosis.
• * To analyze gene expression at the single-cell level in cirrhotic and normal liver tissues.
• * To provide insights for future targeted gene diagnosis and treatment of liver fibrosis.

Main Methods:

• * Analysis of transcriptomes from over 60,000 human single cells across 9 cirrhotic and 11 normal liver samples.
• * Cell communication analysis to identify key cytokines regulating hepatic stellate cells.
• * Single-nucleus consensus weighted gene co-expression network analysis (scWGCNA) to find driver genes.

Main Results:

• * Identified key cytokines (e.g., PDGFA, PDGFAR, PGF, NTF3) involved in hepatic stellate cell regulation.
• * Discovered core driver genes associated with myofibroblast characteristics (e.g., LUM, GGT5, RBP1, ASPN, DCN).
• * Uncovered driver genes linked to APOE's role in myofibroblasts (e.g., THY1, MMP2, COL3A1).

Conclusions:

• * This single-cell level analysis provides a comprehensive understanding of myofibroblast transformation in liver fibrosis.
• * The identified genes offer potential targets for novel diagnostic and therapeutic strategies.
• * The findings contribute valuable information for advancing liver fibrosis research and treatment.