GEO series

S100A10-ANXA2 TETRAMER INHIBITION HAMPERS HEPATIC STELLATE CELL ACTIVATION IN MASLD MODELING HUMAN LIVER ORGANOIDS

GSE313271 Homo sapiens (human) RNA-seq (gene expression) 1 samples Submitted 2026/04/16 Platform GPL24676

At a glance

RNA-seq (gene expression) · human · 1 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: 1 samples
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.

Summary (written by the submitters)

Metabolic dysfunction-associated steatotic liver disease (MASLD), which begins with the pathological lipid accumulation within hepatocytes, can progress to metabolic dysfunction-associated steatohepatitis (MASH), characterized by inflammation and fibrosis. Fibrosis is the strongest predictor of liver-related mortality, yet effective antifibrotic therapies remain limited, underscoring the need for new molecular targets.

Read the full summary ↓

Our previous work identified S100A10 as a MASLD promoter, suggesting that its association with Annexin A2 (ANXA2) within the S100A10-ANXA2 heterotetramer (A2t) might promote hepatic fibrosis. Here, we inhibited A2t using its specific inhibitor, A2ti-1, in human hepatic stellate cells (LX-2) and in human multilineage liver organoids (HLOs) modeling MASLD. A2ti-1 reduced α-SMA protein levels and decreased expression of profibrotic genes in LX-2 cells by directly suppression of stellate cell activation. In HLOs, A2ti-1 significantly attenuated fibrosis by reducing α-SMA expression, collagen deposition, and profibrotic genes, without altering steatosis. Mechanistically, A2ti-1 inhibited LX-2 activation through reducing STAT3 phosphorylation independently of SMAD signaling. These findings identify A2t as a previously unrecognized regulator of hepatic fibrosis and establish its pharmacological inhibition as a promising antifibrotic therapeutic strategy in MASH.

This dataset

Open GSE313271 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 GSE313271_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 PRJNA1378869 and SRA study SRP654103. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

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+ 1 more — browse all 1 samples with per-sample file links →

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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.