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exoWNT3A/RSPO1 improves HE to LPC differentiation, hepatic organoids growth, and different acute and chronic liver injuries.

GSE305923 Homo sapiens (human) RNA-seq (gene expression) 72 samples Submitted 2025/08/20 Platform GPL34290Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 72 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
72 samples: 29 conditions, mostly in duplicateGroups 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
Dual-ligand engineered exosome regulates WNT signaling activation to promote liver repair and regenerationNature communications · 2025
Summary (written by the submitters)
Using human liver progenitor cell cultures, we showed that WNT3A and RSPO1 co-treatment could effectively regulate hepatic cell fate and uncovered their potential functional crosstalk with the PPARα signaling pathway. We also observed that dual ligands loaded on a single exosome (exoWNT3A/RSPO1) hyperactivated the WNT signaling and promoted efficient hepatic organoid growth compared to the small molecule inhibitor CHIR99021.
Read the full summary ↓
After exoWNT3A/RSPO1 administration, we confirmed the efficient delivery and robust activation of WNT signaling in the mouse liver. Importantly, exoWNT3A/RSPO1 could accelerate liver repair and regeneration under various conditions, including acute and chronic injuries and aging-associated phenotypes.
Published in
Dual-ligand engineered exosome regulates WNT signaling activation to promote liver repair and regeneration
Yang L, Wang S, Qiao Z et al. · Nature communications 2025 · PMID 41073411 · doi:10.1038/s41467-025-64069-8
This dataset
Open GSE305923 in finder → Find more 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 GSE305923_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 ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1308092 and SRA study SRP609895. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41073411) ↗
Study design
29 conditions, mostly in duplicate
Healthy control mice for APAP treatment, ×3 APAP-treated mice, day 3, ×3 APAP-treated mice, day 3, exoWT treatment, ×3 APAP-treated mice, day 3, exoWNT3A/RSPO1 trea… ×3 Oil treated control mice for CCl4 treatment, … ×3 CCl4 treated mice, 6 months, ×3 CCl4 treated mice, exoWT treatment, 3 months, ×3 CCl4 treated mice, exoWNT3A/RSPO1 treatment, … ×3 +21 more

Supports a case/control comparison: 24 samples read as cases, 6 as controls.

How we read this: 29 replicated groups read from 72 sample titles; they account for 72 of them. 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

+ 32 more — browse all 72 samples with per-sample file links →

Datasets on a similar topic

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.