Primary lung fibroblasts respond to IL-33, IL-13, and IL-17a and secrete factors that activate macrophages [JV214]
RNA-seq (gene expression) · mouse · 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
- Mus musculus (mouse)
- 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.
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 GSE226343_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 PRJNA939742 and SRA study SRP425014. 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 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.
- GSM7073658 R1_ctrl
- GSM7073659 R2_ctrl
- GSM7073660 R3_ctrl
- GSM7073661 R4_13
- GSM7073662 R5_13
- GSM7073663 R6_13
- GSM7073664 R7_17
- GSM7073665 R8_17
- GSM7073666 R9_17
- GSM7073667 R10_1713
- GSM7073668 R11_1713
- GSM7073669 R12_1713
- GSM7073670 R13_33
- GSM7073671 R14_33
- GSM7073672 R30_33
- GSM7073673 R16_3317
- GSM7073674 R31_3317
- GSM7073675 R32_3317
- GSM7073676 R19_3313
- GSM7073677 R20_3313
- GSM7073678 R21_3313
- GSM7073679 R22_331317
- GSM7073680 R23_331317
- GSM7073681 R36_331317
- GSE226344 Primary lung fibroblasts respond to IL-33, IL-13, and IL-17a and secrete factors that activate macrophages 39 samples shares il-17a, il-33, il-13, fibroblasts, macrophages, activate, primary
- GSE226342 Primary lung fibroblasts respond to IL-33, IL-13, and IL-17a and secrete factors that activate macrophages [JV210] 15 samples shares il-17a, il-33, il-13, fibroblasts, macrophages, activate, primary
- GSE313261 Global transcriptome analysis of IL-33, IL-25, IL-13, TSLP, IL-4, and IL-9 overexpression in mouse spleen 49 samples shares il-33, il-13
- GSE268774 Lymph node macrophages drive immune tolerance and resistance to cancer therapy by expression of the immune-regulatory cytokine IL-33 [RNA-seq] 48 samples shares il-33, macrophages
- GSE268778 Lymph node macrophages drive immune tolerance and resistance to cancer therapy by expression of the immune-regulatory cytokine IL-33 [scRNA-seq] 20 samples shares il-33, macrophages
- GSE281873 TRIM21 Enhances IL-17A Signaling and Drives Autoimmune Myocarditis by Promoting TRAF3 Lysosomal Degradation in Cardiac Fibroblasts 8 samples shares il-17a, fibroblasts
- GSE281008 Mesenchymal IL-33 licenses reparative macrophages to facilitate endovascular injury-induced neointimal hyperplasia [RNA-Seq] 7 samples shares il-33, macrophages
- GSE326350 Circ_0005406 Promotes Ovarian Cancer Progression through IL-33-Dependent Recruitment of Tumor-Associated Macrophages 6 samples shares il-33, macrophages
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.