← BioTransfer GEO Dataset Finder
GEO series

Effects of Hif-1α inhibition under hypoxic conditions on doxorubicin response in B16.F10 murine melanoma cells

GSE317780 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2026/06/30 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: 5 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.
Summary (written by the submitters)
Hipoxia inducible factor 1 (HIF-1) is major regulator of cellular adaptations to low oxygen concentrations, responsible for transcriptional programs that promote metabolic reprogramming, cell survival, and drug resistance. RNA sequencing was performed to characterize transcriptomic changes in B16.F10 murine melanoma cells cultured under 1% hypoxia following Hif-1α silencing and doxorubicin treatment.
Read the full summary ↓
Differential gene expression analysis of the treatment group revealed extensive downregulation of metabolic pathways (glycolysis, oxidative phosphorylation, cholesterol homeostasis, and mTORC1 signaling). In parallel, genes associated with stress and cell death responses, including p38 MAPK signaling, p53 signaling, Notch signaling, and angiogenesis, were upregulated. Taken together, the treatment, promoted cell death and increased sensitivity to doxorubicin, supporting the potential of targeting hypoxia associated mechanisms to enhance therapeutic efficacy in hypoxic tumors.
This dataset
Open GSE317780 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 GSE317780_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 PRJNA1415232 and SRA study SRP667895. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 conditions, mostly in triplicate
B16.F10 cells, Control biol ×3 B16.F10 cells, Negative control siRNA biol ×3 B16.F10 cells, Hif-1α knockdown biol ×3 B16.F10 cells, Doxorubicin biol ×3 B16.F10 cells, Hif-1α knockdown + Doxorubicin… ×3

Supports a case/control comparison: 6 samples read as cases, 6 as controls.

How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.