← BioTransfer GEO Dataset Finder
GEO series

Oncogenic fatty acid oxidation senses sleep deficiency-induced circadian disruption to promote tumorigenesis [circadian]

GSE216729 Mus musculus (mouse) RNA-seq (gene expression) 42 samples Submitted 2025/10/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 42 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
42 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.
Summary (written by the submitters)
Insufficient sleep and circadian disruption are associated with poor prognosis in cancer patients, yet how sleep deficiency (SD) disrupts circadian cellular biological process that promote tumor growth and development remains elusive. To investigate the effects of sleep deficiency on tumorigenesis, we evaluated the gene expression in the lung from KRASG12D/WT mice after sleep deficient treatment (7 weeks).
Read the full summary ↓
Analyzing Gene Ontology (GO) Enrichment of significantly up-regulated genes from lung tumors of SD mice, we found that lipid metabolism processes were enriched in the top 20 GO terms. Lipid metabolomics results showed that SD dramatically stimulates fatty acid oxidation process during lung tumorigenesis. Moreover, genetic ablation of ACSL1, a key regulatory factor in FAO, marked reversed SD-promoted lung tumor development. In addition, SD triggered fatty acid oxidation to enhance cancer stem-like properties.
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 GSE216729_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 PRJNA895059 and SRA study SRP404928. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 42 more — browse all 42 samples with per-sample file links →

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.