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HSC-derived exosomal miR-122- 5p inhibits EMT and fibrosis of intrahepatic biliary epithelial cells to alleviate primary biliary cholangitis

GSE231432 Homo sapiens (human) Non-coding RNA profiling 24 samples Submitted 2025/10/29 Platform GPL23227
At a glance

Non-coding RNA profiling · human · 24 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Homo sapiens (human)
Samples
24 samples: 24 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
HSC-derived exosomal miR-122-5p inhibits EMT and fibrosis of intrahepatic biliary epithelial cells to alleviate primary biliary cholangitisFrontiers in immunology · 2025
Summary (written by the submitters)
Objective: The objective was to study the expression profile of serum exosomal ncRNAs in patients with PBC and to explore their potential molecular mechanisms. Methods: The expression profile of ncRNAs in serum exosomes of PBC patients was analyzed by RNA-sequence. Bioinformatics analysis predicted target genes and related signaling pathways.
Read the full summary ↓
Spearson correlation analysis and receiver operating characteristic (ROC) curve were used to explore the relationship between ncRNAs and PBC clinical indicators and application value. Primary human intrahepatic biliary epithelial cells (HIBECs) were cultured in vitro and lipopolysaccharide (LPS) induced HIBECs inflammatory injury model. The expression of miR-122-5p is regulated by miR-122-5p mimics and inhibitors. Enzyme linked immunosorbent assay (Elisa) measured levels of inflammatory cytokines. HIBECs cycle and apoptosis were detected by flow cytometry and HIBECs activity was detected by CCK8. The biomarkers of epithelium-mesenchymal transition (EMT), fibrogenesis, and p38 mitogen-activated protein kinase (MAPK) pathway were detected by real time quantitative polymerase chain reaction (RT-qPCR) and Western blot (WB). Dual luciferase reporter assay to confirm the binding of miR-122-5p. Results: 8531 differential expressed (DE) lncRNAs and 263 DE miRNAs were identified in serum exosomes of PBC patients. RNA-sequence and verification results showed that miR-122-5p was increased in serum exosomes of PBC patients, and was positively correlated with liver injury and cholestasis indexes. Exosomal miR-122-5p combined with gp210 and sp100 could improve the sensitivity of PBC diagnosis. In vitro experiments showed that the high expression of miR-122-5p promoted the proliferation of HIBECs, and inhibited the apoptosis, EMT and fibrosis of HIBEC. TNFRSF19, p38, p-p38, and inflammatory cytokines interleukin (IL)-1β, IL-6, IL-8, IL-12, IL-17, tumor necrosis factor (TNF)-α, transforming growth factor (TGF)-β1, and interferon (IFN)-γ were down-regulated and the effect was largely reversed after blocking p38 MAPK pathway. In addition, TNFRSF19 has binding site with miR-122-5p, which is the target gene of miR-122-5p, and could regulate the level of apoptosis signal-regulated kinase 1 (ASK1). Then ASK1 further regulate the downstream p38 MAPK signaling pathway. Conclusion: MiR-122-5p regulates ASK1 by targeting TNFRSF19 and plays an important role in EMT and fibrosis of PBC through p38 MAPK signaling pathway. MiR-122-5p may be a new marker for the diagnosis of PBC and a potential therapeutic target.
Published in
HSC-derived exosomal miR-122-5p inhibits EMT and fibrosis of intrahepatic biliary epithelial cells to alleviate primary biliary cholangitis
Zhang Y, Chen R, Yang X et al. · Frontiers in immunology 2025 · PMID 41246340 · doi:10.3389/fimmu.2025.1684064
This dataset
Open GSE231432 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE231432_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

Also filed as BioProject PRJNA965812 and SRA study SRP435444. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41246340) ↗
Study design
24 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 24 sample titles: 24 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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