GEO series

Hepatic Hypoxia-Inducible Factor 1α Mediates Ferroptosis via Transferrin Receptor 1 in Acute Liver Injury

GSE315731 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/01/07 Platform GPL24247

At a glance

RNA-seq (gene expression) · mouse · 12 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: Mus musculus (mouse)
Samples: 12 samples: 3 × DFNC vs 3 × HONC vs 3 × LPS-D vs 3 × HLPS-DGroups 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: Hepatic Hypoxia-Inducible Factor 1α Mediates Ferroptosis via Transferrin Receptor 1 in Acute Liver InjuryAntioxidants (Basel, Switzerland) · 2026

Summary (written by the submitters)

Acute liver injury (ALI) is a potentially life-threatening condition lacking effective clinical drugs. Hypoxia-inducible factor-1α (HIF-1α) is a key regulator of both inflammation and metabolism. In ALI, HIF-1α expressions are upregulated, but the role of HIF-1α in hepatocytes and whether it can be targeted remain unclear. Herein, clinical samples and ALI murine models including lipopolysaccharide/D-galactosamine (LPS/D-GalN), acetaminophen (APAP), and thioacetamide (TAA) revealed an increase in HIF-1α expression and ferroptosis.

Read the full summary ↓

Using HIF-1α gain and loss of function mouse and hepatocyte culture models, we demonstrated that HIF-1α upregulation exacerbated liver ferroptosis and injury. Mechanistically, HIF-1α/transferrin receptor protein 1 (TFR1) axis drives hepatic iron overload, promoting ferroptotic cell death and liver injury. In addition, TFR1 inhibition reversed HIF-1α-induced ALI. Importantly, pharmacological inhibition of HIF-1α and TFR1 significantly reduced ferroptosis and mitigated liver injury both in vivo and in vitro. Together, our findings demonstrate the pathological role of hepatic HIF-1α, which may serve as a promising target of therapeutic intervention.

Published in

Hepatic Hypoxia-Inducible Factor 1α Mediates Ferroptosis via Transferrin Receptor 1 in Acute Liver Injury

Yang J, Wang M, Cui S et al. · Antioxidants (Basel, Switzerland) 2026 · PMID 41596138 · doi:10.3390/antiox15010081

This dataset

Open GSE315731 in finder → Find more mouse 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 GSE315731_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 PRJNA1398864 and SRA study SRP660039. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41596138) ↗

Study design

3 × DFNC vs 3 × HONC vs 3 × LPS-D vs 3 × HLPS-D

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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

GSM9435900 DFNC2 DFNC
GSM9435901 DFNC3 DFNC
GSM9435902 DFNC4 DFNC
GSM9435903 HONC2 HONC
GSM9435904 HONC3 HONC
GSM9435905 HONC4 HONC
GSM9435906 LPS-D1 LPS-D
GSM9435907 LPS-D3 LPS-D
GSM9435908 LPS-D4 LPS-D
GSM9435909 HLPS-D1 HLPS-D
GSM9435910 HLPS-D2 HLPS-D
GSM9435911 HLPS-D3 HLPS-D

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