Mast Cells Control Lung Type 2 Inflammation via Prostaglandin E2-Driven Soluble ST2.
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: 6 conditions, mostly with about 4 replicates eachGroups 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 GSE266501_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 PRJNA1107468 and SRA study SRP505621. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 6 replicated groups read from 20 sample titles; they account for 20 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.
- GSM8248500 MC_PBS_1 MC_PBS
- GSM8248501 MC_PBS_2 MC_PBS
- GSM8248502 MC_PBS_3 MC_PBS
- GSM8248503 MC_PBS_4 MC_PBS
- GSM8248504 MC_IL33_1 MC_IL33
- GSM8248505 MC_IL33_2 MC_IL33
- GSM8248506 MC_IL33_3 MC_IL33
- GSM8248507 MC_IL33_4 MC_IL33
- GSM8248508 MC_PGE2_1 MC_PGE2
- GSM8248509 MC_PGE2_2 MC_PGE2
- GSM8248510 MC_PGE2_3 MC_PGE2
- GSM8248511 MC_PGE2_4 MC_PGE2
- GSM8248512 MC_IL33_PGE2_1 MC_IL33_PGE2
- GSM8248513 MC_IL33_PGE2_2 MC_IL33_PGE2
- GSM8248514 MC_IL33_PGE2_3 MC_IL33_PGE2
- GSM8248515 MC_IL33_PGE2_4 MC_IL33_PGE2
- GSM8248516 CBMC_PBS_1 CBMC_PBS
- GSM8248517 CBMC_PBS_2 CBMC_PBS
- GSM8248518 CBMC_PGE2_1 CBMC_PGE2
- GSM8248519 CBMC_PGE2_2 CBMC_PGE2
- GSE188242 Neuronal BST2: A Pruritic Mediator alongside Protease-Activated Receptor 2 in the IL-27–Driven Itch Pathway 24 samples shares st2
- GSE287688 Sex-specific KDM6A-HNF4A-CREBH network controls lipoprotein cholesterol metabolism and atherosclerosis via epigenetic reprograming of hepatocytes [RNA-seq] 68 samples shares control
- GSE292302 A core transcriptional regulatory circuitry controls super-enhancer-driven activation of LGR5 in colorectal cancer: RNA-seq 42 samples shares control
- GSE239704 NF-κB transcription factors RelA and c-Rel selectively control CD4+ T-cell function in multiple sclerosis and cancer 34 samples shares control
- GSE256398 Hepatic stellate cells control liver zonation and function via R-spondin 3 30 samples shares control
- GSE270879 Profiling of terminating ribosomes reveals translational control at stop codons 27 samples shares control
- GSE280356 Inhibition of the chemokine receptors CXCR1 and CXCR2 synergizes with docetaxel for effective tumor control and remodeling of the immune microenvironment of HPV-negative head and neck cancer models 26 samples shares control
- GSE333739 RNA-seq of human HN-SCC-151 HPV-negative head and neck squamous cell carcinoma cells treated with DMSO or the SUV420H1 inhibitor A-196/siNC (control) or siSUV420H1 siRNAs. 21 samples shares control
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.