Expression of CD25 in human lung mast cells and its regulation by IL-33
RNA-seq (gene expression) · human · 20 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
- 20 samples: 20 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.
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 GSE314641_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 PRJNA1392371 and SRA study SRP657238. 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 20 sample titles: 20 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.
- GSM9407381 HLMC_D1_Control [S1]
- GSM9407382 HLMC_D2_Control [S2]
- GSM9407383 HLMC_D3_Control [S3]
- GSM9407384 HLMC_D4_Control [S4]
- GSM9407385 HLMC_D1_IL332h [S5]
- GSM9407386 HLMC_D2_IL332h [S6]
- GSM9407387 HLMC_D3_IL332h [S7]
- GSM9407388 HLMC_D4_IL332h [S8]
- GSM9407389 HLMC_D1_IL22h [S9]
- GSM9407390 HLMC_D2_IL22h [S10]
- GSM9407391 HLMC_D3_IL22h [S11]
- GSM9407392 HLMC_D4_IL22h [S12]
- GSM9407393 HLMC_D1_IL3324h [S13]
- GSM9407394 HLMC_D2_IL3324h [S14]
- GSM9407395 HLMC_D3_IL3324h [S15]
- GSM9407396 HLMC_D4_IL3324h [S16]
- GSM9407397 HLMC_D1_IL3324h_IL22h [S17]
- GSM9407398 HLMC_D2_IL3324h_IL22h [S18]
- GSM9407399 HLMC_D3_IL3324h_IL22h [S19]
- GSM9407400 HLMC_D4_IL3324h_IL22h [S20]
- GSE282860 The IL-33 and IL-4Rα blocking antibodies, itepekimab and dupilumab, modulate distinct and common inflammatory mediators in asthma - human mast cell and eosinophil data 63 samples shares il-33, mast
- GSE305372 Human lungs maintain tissue-resident memory T cells against a broad spectrum of pathogens. 91 samples shares lung
- GSE302339 Lung NR3C1+ and CXCR6 High CD4 T cells distinguish immunopathogenesis of human emphysema 67 samples shares lung
- GSE310058 Single-nucleus transcriptomic profiling of human lung tissue in chronic obstructive pulmonary disease (COPD) [snRNA-seq] 149 samples shares lung
- GSE292969 Effect of CCS1477 treatment on gene expression in NRF2-activated lung cancer cells 18 samples shares lung
- GSE271689 Enhancing Immunotherapy Outcomes: Spatial Multi-Omics Predictive Models for Non-Small Cell Lung Cancer 586 samples shares lung
- GSE331144 Transcriptional and spatial profiling of fibroblasts from human lungs highlights CTHRC1+ cells as fibrogenic signaling hubs in fibrosis 9 samples shares lung
- GSE273882 Arginine Promotes The Activation of Human Lung Fibroblasts Independent of Its Metabolism 52 samples shares lung
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.