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The CARM1 Epigenetic Enzyme Inhibits Cross-presenting Dendritic Cell Function in Cancer Immunity [RNA-seq]

GSE300014 Mus musculus (mouse) RNA-seq (gene expression) 26 samples Submitted 2026/06/30 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 26 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
26 samples: 6 × MSR scaffold from mice vaccinated with control vaccine, vs 4 × MSR scaffold from mice vaccinated with EZM2302 vaccine, vs 3 × control cDC1 vs 3 × Carm1-KO cDC1Groups 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)
The cancer-immunity cycle requires cross-presenting dendritic cells (cDC1) that induce T cell-mediated immunity, but therapeutic strategies for enhancing intratumoral cDC1 function are inadequate. We discovered the epigenetic enzyme Carm1 as a selective negative regulator of cancer antigen presentation by cDC1s, but not cDC2s. Carm1 inactivation promoted cDC1 antigen cross-presentation, activation, and accumulation in tumors; and a Carm1 inhibitor enhanced cDC1-mediated priming of T cells by a cancer vaccine.
Read the full summary ↓
Carm1 inhibition increased chromatin accessibility at BATF3-JUN and RELA sites critical for cDC1 function and activation. Carm1 expression was regulated by TGF-beta, explaining why Carm1 inactivation enhanced intratumoral cDC1 function without altering cDC1 homeostasis. These studies identify Carm1 as a therapeutic target for enhancing the anti-tumor function of murine and human cDC1.
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 GSE300014_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 PRJNA1278705 and SRA study SRP592634. Searching any of these in the dataset finder brings you back here.

Study design
6 × MSR scaffold from mice vaccinated with control vaccine, vs 4 × MSR scaffold from mice vaccinated with EZM2302 vaccine, vs 3 × control cDC1 vs 3 × Carm1-KO cDC1

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 26 sample titles; they account for 16 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
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