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CD14 Serves as a Predicted Marker for Coronary Artery Lesions in Kawasaki Disease

GSE237851 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2026/06/27 Platform GPL24676
At a glance

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: 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.
Summary (written by the submitters)
Kawasaki Disease (KD) is an acute vasculitis that commonly occurs in younger children, which can lead to coronary artery aneurysm, dilatation and other severe cardiovascular diseases. However, the mechanism of coronary artery lesions remains unclear. In this study, we detected the mRNA expression profile of KD patients in the acute and subacute stages in the coronary artery lesions group (KD-CALs) and the non-coronary artery lesions group (KD-nCALs).
Read the full summary ↓
62 differentially expressed genes were found in the CALs group, and the differential genes were enriched in immune-related signaling pathways, significantly in the NF-kappa B signaling pathway. CD14-mRNA was confirmed to be down-regulated in the subacute stage of KD-CALs. Moreover, the downregulation of CD14 caused a decrease in the expression of a series of downstream genes such as IκBα, A20, and A1/Bf1_1. But only the downregulation of IκBα was in sync with CD14. In conclusion, CD14-mRNA was differentially expressed in the KD-CALs group and regulated the expression of IκBα via the NF-kappa B signaling pathway, finally inducing vascular endothelial cell injury. It can be served as a predicted marker for coronary artery lesions in KD. Besides, CD14 could become a potential therapy target for KD, especially in reversing coronary artery lesions (CALs).
This dataset
Open GSE237851 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE237851_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA996938 and SRA study SRP450584. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
24 samples, each with a distinct title — no replicated groups

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.

Samples in this study
Datasets on a similar topic

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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.