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Castleman disease human lymph node tissue

GSE263321 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/01/15 Platform GPL30173
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.
Paper
No evidence for active viral infection in unicentric and idiopathic multicentric Castleman disease by Viral-Track analysisScientific reports · 2025
Summary (written by the submitters)
Castleman disease (CD) is a rare hematologic disorder involving inflamed lymph nodes and distinct histological features. Unicentric Castleman disease (UCD) and idiopathic multicentric Castleman disease (iMCD) are of particular interest as their etiologies are poorly understood and treatment options are limited. As iMCD patients, and occasionally UCD patients, also present with a cytokine storm, we sought to investigate if the cytokine release from iMCD and UCD subtypes have pathogenic origins as observed in human herpesvirus 8 MCD (HHV-8-MCD).
Read the full summary ↓
To identify potential active viruses that may be contributing to immune system dysregulation in Castleman Disease tissues we conducted bulk RNA sequencing on FFPE preserved lymph node tissue from patients with various phenotypes including Idiopathic multicentric Castleman disease (n = 9), systemic lupus erythematosus (n =3), diffuse large B cell lymphoma (n =5), and reactive lymph nodes with inconclusive pathology (n = 7).
Published in
No evidence for active viral infection in unicentric and idiopathic multicentric Castleman disease by Viral-Track analysis
Miller I, Mumau MD, Shyamsundar S et al. · Scientific reports 2025 · PMID 39799155 · doi:10.1038/s41598-025-85193-x
This dataset
Open GSE263321 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 GSE263321_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 PRJNA1096704 and SRA study SRP500031. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39799155) ↗
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.