IL-33 as a component of NETs mediates CIAKI by promoting ferroptosis in tubular epithelial cells
RNA-seq (gene expression) · mouse · 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
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × WT_CIAKI_PAD4KO vs 3 × PAD4KO_CIAKI vs 3 × WT_CIAKI_IL33KO vs 3 × IL33KO_CIAKIGroups 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 GSE337704_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 PRJNA1490632 and SRA study SRP715609. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM9859740 WT_CIAKI_PAD4KO_set_1 WT_CIAKI_PAD4KO
- GSM9859741 WT_CIAKI_PAD4KO_set_2 WT_CIAKI_PAD4KO
- GSM9859742 WT_CIAKI_PAD4KO_set_3 WT_CIAKI_PAD4KO
- GSM9859743 PAD4KO_CIAKI_1 PAD4KO_CIAKI
- GSM9859744 PAD4KO_CIAKI_2 PAD4KO_CIAKI
- GSM9859745 PAD4KO_CIAKI_3 PAD4KO_CIAKI
- GSM9859746 WT_CIAKI_IL33KO_set_1 WT_CIAKI_IL33KO
- GSM9859747 WT_CIAKI_IL33KO_set_2 WT_CIAKI_IL33KO
- GSM9859748 WT_CIAKI_IL33KO_set_3 WT_CIAKI_IL33KO
- GSM9859749 IL33KO_CIAKI_1 IL33KO_CIAKI
- GSM9859750 IL33KO_CIAKI_2 IL33KO_CIAKI
- GSM9859751 IL33KO_CIAKI_3 IL33KO_CIAKI
- GSE310612 Astrocytic FABP5 drives cerebellar white matter dysfunction in multiple system atrophy by promoting TNF signaling and ferroptosis 15 samples shares ferroptosis, promoting
- GSE315731 Hepatic Hypoxia-Inducible Factor 1α Mediates Ferroptosis via Transferrin Receptor 1 in Acute Liver Injury 12 samples shares ferroptosis, mediates
- GSE306861 ALDH2 inhibition reprograms tubular epithelial cell metabolism and promotes renal injury susceptibility 8 samples shares epithelial, tubular
- 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
- GSE282861 The IL-33 and IL-4Rα blocking antibodies, itepekimab and dupilumab, modulate distinct and common inflammatory mediators in asthma - mouse data 43 samples shares il-33
- GSE230597 Bulk RNA-seq of ILC2, Tconv, Th2, Treg Gata3hi and Treg Gatalo from the lungs of IL-33 treated mice 22 samples shares il-33
- 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
- GSE314943 Single-cell multiomics uncovers an endothelial mechanosensitive PIEZO1-IL-33 axis driving pulmonary fibrosis 18 samples shares il-33
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.