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A high-throughput transcriptomic profiling of fibroblasts treated with 0.0005 - 10 µM Omaveloxolone

GSE306317 Homo sapiens (human) RNA-seq (gene expression) 72 samples Submitted 2026/08/01 Platform 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: 11 conditions, mostly with about 4 replicates eachGroups 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.
Summary (written by the submitters)
Omaveloxolone, an Nrf2 activator, shows enrichment of pathways associated with cellular metabolism and energy production. Dose-dependent up-regulation of Nrf2 marker genes and of genes in the GOBP mitochondrial gene expression pathway was observed compared to vehicle treated wells.
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 GSE306317_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 PRJNA1310460 and SRA study SRP612546. Searching any of these in the dataset finder brings you back here.

Study design
11 conditions, mostly with about 4 replicates each
DMSO control well, biol ×32 Omaveloxolone treated well at 0.0005 µM, biol ×4 Omaveloxolone treated well at 0.002 µM, biol ×4 Omaveloxolone treated well at 0.005 µM, biol ×4 Omaveloxolone treated well at 0.014 µM, biol ×4 Omaveloxolone treated well at 0.04 µM, biol ×4 Omaveloxolone treated well at 0.12 µM, biol ×4 Omaveloxolone treated well at 0.37 µM, biol ×4 +3 more

Supports a case/control comparison: 40 samples read as cases, 32 as controls.

How we read this: 11 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

Search all human RNA-seq datasets in GEO →

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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.