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Transcriptional Response to Non-Steroidal Anti-Inflammatory Drugs and Tryptophan Supplementation

GSE301033 Mus musculus (mouse) RNA-seq (gene expression) 97 samples Submitted 2025/09/16 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 97 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
97 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.
Paper
Depression of tryptophan may contribute to adverse effects of naproxenNature communications · 2026
Summary (written by the submitters)
Non-steroidal anti-inflammatory drugs (NSAIDs) are popular choices for the mitigation of pain and inflammation; however, they are accompanied by adverse effects in the gastrointestinal and cardiovascular systems. We compared the effects of placebo, naproxen, a traditional NSAID, and celecoxib, a cyclooxygenase (COX)-2 inhibitor, in the plasma of healthy volunteers.
Read the full summary ↓
We found a decrease in tryptophan and kynurenine levels in the plasma of those volunteers treated with naproxen. Based on these findings we treated mice with control, celecoxib, or naproxen diets, and examined their effects on the heart and jejunum transcriptomes. Additionally, we tested if tryptophan treatment rescued the transcriptional effects of naproxen treatment.
Published in
Depression of tryptophan may contribute to adverse effects of naproxen
Ghosh S, Lahens NF, Barekat K et al. · Nature communications 2026 · PMID 41690989 · doi:10.1038/s41467-026-69684-7
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 GSE301033_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 PRJNA1283109 and SRA study SRP595600. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 97 more — browse all 97 samples with per-sample file links →

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