The airway transcriptome in type2 cytokine biomarker-high and -low severe asthma
RNA-seq (gene expression) · human · 129 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
- 129 samples: 44 × T2-intermediate asthma vs 36 × Healthy control vs 31 × T2-high asthma vs 18 × T2-low asthmaGroups 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.
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 GSE301357_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 PRJNA1284839. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 129 samples.
How we read this: 4 replicated groups read from 129 sample titles; they account for 129 of them. 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.
- GSM9081430 Healthy control_8038915086 Healthy control
- GSM9081431 Healthy control_8038915087 Healthy control
- GSM9081432 Healthy control_8038915089 Healthy control
- GSM9081433 Healthy control_8038915090 Healthy control
- GSM9081434 Healthy control_8038915096 Healthy control
- GSM9081435 Healthy control_8038915097 Healthy control
- GSM9081436 Healthy control_8038915099 Healthy control
- GSM9081437 Healthy control_8038915100 Healthy control
- GSM9081438 Healthy control_8038915104 Healthy control
- GSM9081439 Healthy control_8038915126 Healthy control
- GSM9081440 Healthy control_8038915144 Healthy control
- GSM9081441 Healthy control_8038915156 Healthy control
- GSM9081442 Healthy control_8038915157 Healthy control
- GSM9081443 Healthy control_8038915159 Healthy control
- GSM9081444 Healthy control_8038915172 Healthy control
- GSM9081445 Healthy control_8038915173 Healthy control
- GSM9081446 Healthy control_8038917292 Healthy control
- GSM9081447 Healthy control_8038917304 Healthy control
- GSM9081448 Healthy control_8038917316 Healthy control
- GSM9081449 Healthy control_8038917328 Healthy control
- GSM9081450 T2-high asthma_8038917293 T2-high asthma
- GSM9081451 T2-high asthma_8038917305 T2-high asthma
- GSM9081452 T2-high asthma_8038917317 T2-high asthma
- GSM9081453 T2-high asthma_8038917318 T2-high asthma
- GSM9081454 T2-high asthma_8038917322 T2-high asthma
- GSM9081455 T2-high asthma_8038917334 T2-high asthma
- GSM9081456 T2-high asthma_8038917340 T2-high asthma
- GSM9081457 T2-high asthma_8038917341 T2-high asthma
- GSM9081458 T2-high asthma_8038917342 T2-high asthma
- GSM9081459 T2-high asthma_8038917345 T2-high asthma
- GSM9081460 T2-high asthma_8038917346 T2-high asthma
- GSM9081461 T2-high asthma_8038917364 T2-high asthma
- GSM9081462 T2-high asthma_8038917365 T2-high asthma
- GSM9081463 T2-high asthma_8038917368 T2-high asthma
- GSM9081464 T2-high asthma_8038917369 T2-high asthma
- GSM9081465 T2-high asthma_8038917370 T2-high asthma
- GSM9081466 T2-high asthma_8038917376 T2-high asthma
- GSM9081467 T2-high asthma_8038917378 T2-high asthma
- GSM9081468 T2-intermediate asthma_8038917295 T2-intermediate asthma
- GSM9081469 T2-intermediate asthma_8038917297 T2-intermediate asthma
+ 89 more — browse all 129 samples with per-sample file links →
- GSE297584 Distinct phenotypes and repertoires of bronchoalveolar and airway mucosal T cells in health and allergic asthma 11 samples shares airway, asthma
- GSE4302 Genome-Wide Profiling of Airway Epithelial Cells in Asthmatics, Smokers and Healthy Controls 118 samples shares airway, asthma
- GSE297039 Multi-omics Analysis Revealed Unique Features of Age-associated Type2 CD8 Memory T cells 30 samples shares type2
- GSE310773 Multi-omics Analysis Revealed Unique Features of Age-associated Type2 CD8 Memory T cells [CUT&Run] 23 samples shares type2
- GSE237690 Lupus dermal fibroblasts hyper-respond to inflammatory cytokines and exhibit a pro-fibrotic phenotype to TGF-β in patients with scarring skin disease 317 samples shares cytokine
- GSE267521 The MUC5B IPF risk variant promotes a distal airway secretory phenotype and loss of alveolar markers 310 samples shares airway
- GSE271359 Identifying modulators of inflammation in an in vitro airway epithelial inflammation model using an arrayed CRISPRi screen 186 samples shares airway
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples shares airway
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.