GEO series

Clusterin Expression Distinguishes Idiopathic Multicentric Castleman Disease from Other Lymphadenopathies

GSE337015 Homo sapiens (human) RNA-seq (gene expression) 47 samples Submitted 2026/10/06 Platform GPL24676Platform GPL30173

At a glance

RNA-seq (gene expression) · human · 47 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: 47 samples
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)

Idiopathic multicentric Castleman disease (iMCD) is a heterogeneous cytokine storm disorder involving systemic inflammation, multicentric lymphadenopathy with characteristic histopathology, and life-threatening multiple organ dysfunction. Patients can present with symptoms ranging from thrombocytopenia, anasarca, fever/elevated C-reactive protein (CRP), reticulin myelofibrosis, renal dysfunction, and organomegaly (iMCD-TAFRO) to thrombocytosis, hypergammaglobulinemia, and plasmacytosis (iMCD-IPL), with patients not falling into either group (iMCD-NOS).

Read the full summary ↓

The molecular mechanisms across the clinical subtypes have not been elucidated and new effective treatments are needed. Here, we performed bulk RNA sequencing and targeted gene expression quantification in lymph node tissue from multiple iMCD clinical subtypes, pathologically related disorders, and controls. We identified 249 upregulated and 42 downregulated genes in iMCD-TAFRO lymph node tissue, which were enriched in the following pathways: angiogenesis, cell proliferation, and various aspects of the humoral and innate immune response. The targeted gene expression analysis revealed shared differentially expressed genes (DEGs) across all three iMCD clinical subtypes, including SPP1, XBP1, PRDM1, and CLU. We identified unique DEGs in each iMCD clinical subtype, including PLA2G2A, MSR1, IL8 (iMCD-TAFRO), IL9, KIR3DL1, IL18RAP (iMCD-IPL), and IL7, TLR8, and CX3CR1 (iMCD-NOS). Since Clusterin (CLU) was significantly upregulated in iMCD but not in related conditions, we performed immunohistochemistry and observed that Clusterin is elevated in the germinal center and mantle zone regions of iMCD patient lymph nodes. Together, this work identified pathways dysregulated in iMCD lymph nodes and suggests that Clusterin could be a novel biomarker.

This dataset

Open GSE337015 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 GSE337015_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 PRJNA1483714. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 47 more — browse all 47 samples with per-sample file links →

Datasets on a similar topic

GSE241097 Multicentric Castleman Disease 13 samples shares multicentric, castleman
GSE241096 Single cell transcriptomic data of 12 samples collected from twins with Multicentric Castleman Disease and an unaffected sibling 12 samples shares multicentric, castleman
GSE112057 Whole Blood Transcriptome Profiling in Juvenile Idiopathic Arthritis and Inflammatory Bowel Disease 202 samples shares idiopathic
GSE264196 A 50-gene high-risk profile predictive of COVID-19 and Idiopathic Pulmonary Fibrosis mortality originates from a molecular imbalance in monocyte and T-cell subsets that reverses in survivors with post-COVID-19 Interstitial Lung Disease 20 samples shares idiopathic
GSE86618 Single Cell RNA-Sequencing Identifies Diverse Roles of Epithelial Cells in Idiopathic Pulmonary Fibrosis 540 samples shares idiopathic
GSE150910 RNA-Sequencing of Chronic hypersensitivity pneumonitis compared with Idiopathic Pulmonary Fibrosis and Control Lung 288 samples shares idiopathic
GSE215274 Identification of Whole Blood Gene Expression Signature to Predict the Therapeutic Effect of Nintedanib in Idiopathic Pulmonary Fibrosis 177 samples shares idiopathic
GSE33566 The Peripheral Blood Transcriptome Predicts the Presence and Extent of Disease in Idiopathic Pulmonary Fibrosis 123 samples shares idiopathic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.