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Ezrin drives adaptation of monocytes to the inflamed lung microenvironment

GSE267506 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2024/11/07 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 18 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.
Paper
Ezrin drives adaptation of monocytes to the inflamed lung microenvironmentCell death & disease · 2024
Summary (written by the submitters)
Ezrin, an actin-binding protein, plays a crucial role in organizing the cellular cortical cytoskeleton and plasma membrane during cell migration, adhesion, and proliferation. While there is a good understanding of ezrin's function in cell types such as epithelial cells and lymphocytes, its role in monocytes/macrophages (MΦs) is less understood.
Read the full summary ↓
Here, we used a monocyte/MΦ-specific ezrin knock-out mouse model to investigate the contribution of ezrin to monocyte recruitment and adaptation to the lung extracellular matrix (ECM) in response to lipopolysaccharide (LPS). Our study revealed that LPS induces ezrin expression in monocytes/MΦs, and that ezrin is essential for monocytes to adhere to lung ECM, proliferate, and differentiate into tissue-resident interstitial MΦs. Notably, ezrin is not required for monocyte extravasation into the lung parenchyma. Mechanistically, the loss of ezrin in monocytes disrupts activation of FAK and AKT signaling, which are necessary for lung-recruited monocytes and monocyte-derived MΦs to adhere to the ECM, proliferate, and survive. In summary, our data suggest that ezrin plays a role beyond structural cellular support, influencing diverse monocytes/MΦ processes and signaling pathways in response to infections, driving their adaptation to the lung microenvironment.
Published in
Ezrin drives adaptation of monocytes to the inflamed lung microenvironment
Gudneppanavar R, Di Pietro C, H Öz H et al. · Cell death & disease 2024 · PMID 39613751 · doi:10.1038/s41419-024-07255-8
This dataset
Open GSE267506 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 GSE267506_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 PRJNA1111746 and SRA study SRP507740. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39613751) ↗
Study design
18 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 18 sample titles: 18 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
Datasets on a similar topic

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