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mRNA expression profiles of human iPSC-derived sensory neurons treated with paclitaxel, vincristine, bortezomib or cisplatin in the presence and absence of SP600125

GSE305998 Homo sapiens (human) RNA-seq (gene expression) 48 samples Submitted 2025/10/01 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 48 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
48 samples: 14 conditions, mostly in triplicateGroups 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
c-Jun inhibition mitigates chemotherapy-induced neurotoxicity in iPSC-derived sensory neuronsCell death discovery · 2025
Summary (written by the submitters)
For our investigation of the role of c-Jun in the underlying mechanisms of chemotherapy-induced peripheral neuropathy (CIPN), human iPSCs derived from patients were differentiated into sensory neurons and subsequently treated in vitro with four different chemotherapeutic drugs (paclitaxel, vincristine, bortezomib or cisplatin) in the presence and absence of small molecule inhibitor, SP600125.
Read the full summary ↓
The transcriptomic analyses of such treated samples revealed upregulated transcription of c-Jun mRNA across the four drug types, which was reduced upon addition of SP600125. While this suggests the involvement of the JNK signalling pathway, detailed analyses of correlation coefficient revealed that a high correlation of c-Jun with neuronal injury, neuroinflammatory, metabolic and neuromodulation markers, thus identifying a central role of c-Jun in CIPN pathophysiology.
Published in
c-Jun inhibition mitigates chemotherapy-induced neurotoxicity in iPSC-derived sensory neurons
Hew L, Maierhof SK, Ivanov A et al. · Cell death discovery 2025 · PMID 41233356 · doi:10.1038/s41420-025-02847-5
This dataset
Open GSE305998 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 GSE305998_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 PRJNA1308861 and SRA study SRP610364. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41233356) ↗
Study design
14 conditions, mostly in triplicate
264-A_PTX-vehicle_48h ×6 264-A_SP600125-vehicle_48h ×4 264-A_SP600125_48h ×4 264-A_PTX_SP600125_48h ×4 264-A_PTX_48h ×3 264-A_VCR-vehicle_16h ×3 264-A_VCR_16h ×3 264-A_VCR_SP600125_16h ×3 +6 more

Supports a between-group comparison across 48 samples.

How we read this: 14 replicated groups read from 48 sample titles; they account for 48 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

+ 8 more — browse all 48 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.