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Clara Cell RhoA Activation Aggravates Allergic Airway Inflammation by Disrupting Airway Barrier Integrity via Interstitial Macrophage Interaction

GSE283320 Mus musculus (mouse) Single-cell RNA-seq 12 samples Submitted 2025/12/31 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 12 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
12 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)
Background: Our previous research demonstrated that Ras homolog family member A (RhoA) activation in alveolar type 2 cells can prevent airway hyperresponsiveness and mitigate allergic airway inflammation. Objective: We aim to investigate the role of RhoA activation in larger airways, particularly Clara cells, during allergic airway inflammation and explore its underlying mechanisms.
Read the full summary ↓
Methods: RhoA-deficient mice in Clara cells were generated by crossing CC10-CreERTM mice with RhoAfl/fl mice (CC10-CreERTM; RhoAfl/fl, RhoACKO). Airway epithelial barrier function was assessed by Trans-Epithelial Electrical Resistance (TEER) and permeability across Air-Liquid Interface (ALI) cultures. Multiparameter flow cytometry was applied to characterize various lung immune cells. Both bulk RNA sequencing (RNA-seq) and single-cell RNA sequencing (scRNA-seq) were also utilized. Results: Deletion of RhoA in Clara cells significantly reduced allergen-induced airway inflammation and remodeling. In vitro analysis demonstrated that airway epithelial cells from RhoACKO mice exhibited decreased TEER and increased permeability. multi-dimensional flow cytometry analysis revealed a significant reduction in interstitial macrophages (IMs) in RhoACKO mice compared to wild-type controls. Notably, scRNA-seq identified IMs as the most up-regulated population following cockroach allergen exposure. RNA-seq analysis revealed down-regulation of several genes, including Ccl24, IL-13, Mcpt1, and Tdo2. Integration of single-cell and bulk RNA-seq identified differentially expressed genes in IMs, such as Tlr1, Ccl24, Tmem26, and Msx3. Further experiments demonstrated that Ccl24 contributes to barrier damage, and blocking CCL24 attenuated allergic airway inflammation. Conclusion: This research underscores the importance of RhoA in Clara cells in airway inflammation and epithelial barrier integrity through regulating interstitial macrophage and its key mediator Ccl24.
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 GSE283320_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1193094 and SRA study SRP548814. Searching any of these in the dataset finder brings you back here.

Samples in this study

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