IL1R2 Identified as a Key Hub Gene Regulating Vascular Endothelial Function in Kawasaki Disease
RNA-seq (gene expression) · human · 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
- Homo sapiens (human)
- Samples
- 24 samples: 12 × K vs 12 × NGroups 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 GSE325833_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 PRJNA1442035 and SRA study SRP686226. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 2 replicated groups read from 24 sample titles; they account for 24 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.
- GSM9614243 K29 K
- GSM9614244 K30 K
- GSM9614245 K32 K
- GSM9614246 K33 K
- GSM9614247 K36 K
- GSM9614248 K37 K
- GSM9614249 K41 K
- GSM9614250 K48 K
- GSM9614251 K50 K
- GSM9614252 K54 K
- GSM9614253 K43 K
- GSM9614254 K39 K
- GSM9614255 N21 N
- GSM9614256 N22 N
- GSM9614257 N23 N
- GSM9614258 N24 N
- GSM9614259 N25 N
- GSM9614260 N26 N
- GSM9614261 N29 N
- GSM9614262 N30 N
- GSM9614263 N33 N
- GSM9614264 N37 N
- GSM9614265 N41 N
- GSM9614266 N47 N
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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.