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IRF4-regulated transcriptional heterogeneity of lung resident CD11b+ cDC2 subsets during influenza virus infection

GSE285970 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2025/01/31 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 20 samples, each with a distinct title — no replicated groupsGroups 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)
Lung-resident conventional dendritic cells (cDCs) coordinate immune responses to respiratory viruses in the respiratory tract or after migration to mediastinal lymph nodes (mLN). Migratory DCs include cDC1s (CD103+XCR1+CD24hi) expressing IRF8 or cDC2s (CD11b+SIRPa+CD24+) expressing IRF4. IRF4+ cDC2s are divided into a CD24hi subset that requires IRF4 for differentiation and a CD24int subset that is present in the absence of IRF4.
Read the full summary ↓
During influenza A virus (IAV) infection of mice, we characterized the kinetics of cDC2 subset accumulation in the lung and mLN and their differences in IRF4-dependent gene expression and function. We found that the two IRF4-expressing cDC2 subsets upregulated CD86 to high levels, produced IL-12p40 and the chemokines CCL17 and CCL2, and were capable of acquiring antigen in vivo and activating antigen-specific CD8+ T cells. Notably, the CD11b+CD24int cDC2 subset expressed canonical cDC markers and transcription factors and expanded to high numbers in the lung and mLN by day 6 post-infection. Transcriptome analyses on day 5 post-infection revealed that the CD11b+CD24int cDC2 subset expressed both IRF4 and IRF8 and harbored an elevated interferon response signature compared to the CD11b+CD24hi subset. Analyses of mice lacking Irf4 in CD11c+ cells showed that IRF4 promoted the function of CD11b+CD24int cDC2s, including the capacity to migrate to mLN and to produce CCL17 and CCL22, consistent with their altered gene expression profile in the absence of IRF4. In sum, our data show that the two lung-resident CD11b+ cDC2 subsets present in naïve mice elaborated distinct and common functional responses regulated by IRF4 during IAV infection.
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 GSE285970_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 PRJNA1207077 and SRA study SRP555584. Searching any of these in the dataset finder brings you back here.

Study design
20 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 20 sample titles: 20 distinct titles with little repetition. 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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