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RNA sequencing of MC38 tumor cells from control-diet- and high-fat-diet-fed C57BL/6J mice

GSE274825 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2024/10/18 Platform GPL23479
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 5 × Sorted MC38 tumor cells from control-diet-fed mouse vs 5 × Sorted MC38 tumor cells from high-fat-diet-fed mouseGroups 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)
Multiple cancers, including colorectal cancer (CRC), are more frequent and often more aggressive in obese individuals. Here, we show that macrophages accumulate within tumors of obese CRC patients and in obese CRC mice and promote accelerated tumor growth. These changes are initiated by oleic acid accumulation and subsequent tumor cell-derived acid production, and driven by signaling through GPR65, an acid-sensing receptor on CRC-associated macrophages.
Read the full summary ↓
We demonstrate a similar role for GPR65 in hepatocellular carcinoma (HCC) in obese mice. Tumors in obese patients with CRC or HCC also exhibit increased GPR65 expression, suggesting that the mechanism revealed here likely contributes to tumor growth in a range of obesity-associated cancers and represents a potential therapeutic target.
This dataset
Open GSE274825 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 GSE274825_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 PRJNA1148134 and SRA study SRP526542. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 × Sorted MC38 tumor cells from control-diet-fed mouse vs 5 × Sorted MC38 tumor cells from high-fat-diet-fed mouse

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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 →

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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.