Bronchial epithelial cell-derived extracellular vesicles drive inflammasome activation and NTHi infection in COPD
RNA-seq (gene expression) · human · 12 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
- 12 samples: 12 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
- Bronchial epithelial cell-derived extracellular vesicles drive inflammasome activation and NTHi infection in COPDFrontiers in immunology · 2025
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE313809_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1381622 and SRA study SRP655298. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 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.
- GSM9375930 0001 Untreated THP1 rep1
- GSM9375931 0002 Untreated THP1 rep2
- GSM9375932 0003 VX765 THP1 rep1
- GSM9375933 0004 VX765 THP1 rep2
- GSM9375934 0005 HepEV rep1
- GSM9375935 0006 HepEV rep2
- GSM9375936 0007 HepEV rep3
- GSM9375937 0008 HepEV rep4
- GSM9375938 0009 CepEV rep1
- GSM9375939 0010 CepEV rep2
- GSM9375940 0011 CepEV rep3
- GSM9375941 0012 CepEV rep4
- GSE325885 Polymicrobial extracellular vesicles reduce the innate immune response of human cystic fibrosis bronchial epithelial cells 28 samples shares extracellular, epithelial, bronchial, vesicles
- GSE274588 Enhancing Non-Small Cell Lung Cancer Treatment Utilizing Natural Killer Cell-Derived Extracellular Vesicles (NKEVS) As A Novel Adoptive Cellular Therapeutic [PBMC] 57 samples shares extracellular, cell-derived, vesicles
- GSE306950 Dysregulated NK Cell Activation and Myeloid-Lymphoid Imbalance Underpin COPD Progression: Insights from High-Dimensional Immune Profiling and Smoking-Induced Immune Remodeling 35 samples shares copd, activation
- GSE306080 Extracellular Vesicle Cargo from Lipofibroblasts Mitigates COPD by Alveolar Type II Cell Restoration 12 samples shares copd, extracellular
- GSE255775 Transcriptomic Profiling of Plasma Extracellular Vesicles Enables Reliable Annotation of the Cancer-specific Transcriptome and Molecular Subtype 319 samples shares extracellular, vesicles
- GSE259422 Transcriptomic Profiling of Plasma Extracellular Vesicles Enables Reliable Annotation of the Cancer-specific Transcriptome and Molecular Subtype (plasma_cancer) 156 samples shares extracellular, vesicles
- GSE268230 Extracellular vesicles alter trophoblast function in pregnancies complicated by COVID-19 129 samples shares extracellular, vesicles
- GSE297395 Extracellular vesicles and their RNA cargo facilitate bidirectional cross-kingdom communication between human and bacterial cells [RNA-Seq] 105 samples shares extracellular, vesicles
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.