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Culture Media Strongly Influences Primary Human Bronchial Epithelial Cells' Transcriptomic Response to Ozone Exposure

GSE292944 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/06/30 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 24 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
Homo sapiens (human)
Samples
24 samples: 24 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
Culture media influences primary human bronchial epithelial cell morphology, differentiation status, and transcriptional response to ozone exposureToxicological sciences : an official journal of the Society of Toxicology · 2025
Summary (written by the submitters)
Exposure to the ambient air pollutant ozone induces acute and chronic respiratory health effects in part by causing inflammation of the airways. Several aspects of the inflammatory response to ozone can be modeled in vitro using primary human bronchial epithelial cells (HBECs) cultured at an air-liquid interface. We tested two commonly used HBEC culture media systems, one proprietary and one non-proprietary, to identify which system yielded the most in vivo-like pro-inflammatory response to acute ozone exposure as indicated by gene expression.
Read the full summary ↓
Cells from six donors were grown in each culture system in parallel followed by examination of epithelial morphology and cell type proportions prior to ozone exposure. Cultures grown in the proprietary system were notably thicker and contained more ciliated and secretory cells, as well as internal cyst-like structures. The transcriptomic response to acute ozone exposure (0.5 parts per million ozone x 2 hours) was strongly affected by media. HBECs grown in the proprietary system exhibited minimal changes after ozone, with only only 7 differentially expressed genes (DEGs). In contrast, HBECs grown in the non-proprietary system exhibited a more dynamic response with 128 DEGs, including hallmark response genes indicative of inflammation (CXCL8) and oxidative stress (HMOX1). Gene set enrichment analysis using the 128 DEGs further corroborated upregulation of oxidative stress and inflammation pathways. In total, our results indicate that the choice of HBEC culture media should be carefully considered to best model the in vivo response to ozone.
Published in
Culture media influences primary human bronchial epithelial cell morphology, differentiation status, and transcriptional response to ozone exposure
Lester SA, Abdelwahab SH, Randell SH et al. · Toxicological sciences : an official journal of the Society of Toxicology 2025 · PMID 40700611 · doi:10.1093/toxsci/kfaf089
This dataset
Open GSE292944 in finder → Find more human 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 GSE292944_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 PRJNA1242206 and SRA study SRP573214. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40700611) ↗
Study design
24 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 24 sample titles: 24 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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