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The effect of microplastics on the nasal epithelial cells in obstructive lung diseases

GSE273262 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/02/12 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
The impaired response of nasal epithelial cells to microplastic stimulation in asthma and COPDScientific reports · 2025
Summary (written by the submitters)
The goal of this study was to evaluate the biological effect of microplastic fibres on nasal epithelium from healthy subjects, as well as asthma and COPD pateients. We demonstrated the distinct biological response of asthmatic and COPD epithelial cells to microplastic fibers stimulation compared to healthy epithelial cells. ANKRD36, BCL2L15, C15orf48, CAPN14, FCGBP, FST, IL-19, MAFF, PGBD5, PKP1 and PTPRH are important markers of epithelial response after microplastic stimulation in obstructive lung disaeses.
Read the full summary ↓
These mediators are linked to Th2 inflammation, alleviation of stress response, and, most notably, carcinogenesis. We demonstrated the distinct biological response of asthmatic and COPD epithelial cells to microplastic fibers stimulation compared to healthy epithelial cells. ANKRD36, BCL2L15, C15orf48, CAPN14, FCGBP, FST, IL-19, MAFF, PGBD5, PKP1 and PTPRH are important markers of epithelial response after microplastic stimulation in obstructive lung disaeses. These mediators are linked to Th2 inflammation, alleviation of stress response, and, most notably, carcinogenesis. Microplastic stimulation differently modified the response of airway epithelial cells in obstructive lung diseases than in controls. Asthmatic and COPD epithelial cells are more prone to damage after microplastic fibre exposure.
Published in
The impaired response of nasal epithelial cells to microplastic stimulation in asthma and COPD
Paplińska-Goryca M, Misiukiewicz-Stępień P, Wróbel M et al. · Scientific reports 2025 · PMID 39905077 · doi:10.1038/s41598-025-87242-x
This dataset
Open GSE273262 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 GSE273262_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 PRJNA1141118 and SRA study SRP522649. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39905077) ↗
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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