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Covalent Binding of Thioredoxin to TXNIP is Required for Diet-induced Hepatic Insulin Resistance in the Liver

GSE275407 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2025/06/25 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 samples: 15 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
Covalent binding of thioredoxin to TXNIP is required for diet-induced insulin resistance in the liverThe Journal of biological chemistry · 2025
Summary (written by the submitters)
Among vertebrate animals, mammals have retained a unique molecular change that allows an intracellular arrestin domain-containing protein to bind covalently to thioredoxin. This interaction of Thioredoxin-Interacting Protein (TXNIP) with thioredoxin can only occur when thioredoxin is in the reduced state, allowing TXNIP to "sense" the cellular oxidized environment1.
Read the full summary ↓
Here we show that a single cysteine in TXNIP mediates the development of hepatic insulin resistance in the setting of a high fat diet (HFD). Mice with exchange of TXNIP Cysteine 247 for Serine (C247S) showed improved whole-body and hepatic insulin sensitivities compared to wildtype (WT) controls following an 8-week HFD. The inhibition of the TXNIP-thioredoxin interaction under chow and HFD also regulated plasma and liver lipids and reduced free fatty acid accumulation in the livers following HFD. These data show that mammals have a single amino acid enabling interaction of redox state with TXNIP that mediates insulin resistance in the setting of a high-fat diet. This reveals a potential evolutionarily-conserved mechanism for hepatic insulin resistance in metabolic syndromes.
Published in
Covalent binding of thioredoxin to TXNIP is required for diet-induced insulin resistance in the liver
Dagdeviren S, Hoang MF, Wang J et al. · The Journal of biological chemistry 2025 · PMID 40345590 · doi:10.1016/j.jbc.2025.110214
This dataset
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.

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 GSE275407_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1150621 and SRA study SRP527919. Searching any of these in the dataset finder brings you back here.

Study design
15 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 15 sample titles: 15 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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