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Comprehensive Profiling of Peripheral Blood Mononuclear Cells Reveals Monocyte-CD8+ T cell-B cell Communication as Central Cell-cell Interaction and pathogenesis in IgA Vasculitis

GSE243002 Homo sapiens (human) Single-cell RNA-seq 21 samples Submitted 2024/09/05 Platform GPL16791
At a glance

Single-cell RNA-seq · human · 21 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Samples
21 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.
Paper
STAT3 regulates NK and NKT cell differentiation through C-X3-C motif chemokine receptor 1  (CX3CR1) in hyper-IgE syndromeMolecular biomedicine · 2025
Summary (written by the submitters)
IgA vasculitis (IgAV) is a common vasculitis which often occurs in children. IgAV is characterized by the vasculitis caused by IgA deposition in the walls of small vessels. The mechanisms of immune disorders in IgAV, as well as the innmue network regulation between immune cells is still unclear. Dissecting the IgA-secreting B cells is crucial for understanding the pathegenesis mechanisms of IgA deposition in IgA vasculitis (IgAV).
Read the full summary ↓
Here, we used single-cell RNA sequencing to profile immune cells in peripheral blood mononuclear cells of IgAV. MIF induced IgA secretion in IgAV, and monocyte-CD8+ T cell-B cell communication regulated MIF pathway. ICAMs pathway regulated monocyte-CD8+ T cell-B cell communication, and promoted B cells adhension in IgAV. CD8+ T cell was the key cell in monocyte-CD8+ T cell-B cell communication. TCR repertoire analysis identified a specific CD8+ Temra cluster with specific TCR clonetypes. BCR repertoire analysis revealed the existence of IgA Fc-specific IgG in serum of IgAV nephritis. These findings reveals complicated immune regulation in IgAV, emphrazing the importance of MIF and ICAMs pathways in cell-cell interaction, discovering CD8+ T cells’ crucial function for IgAV pathogenesis, and bringing new insights into the pathegenesis of IgA deposition in IgAV.
Published in
STAT3 regulates NK and NKT cell differentiation through C-X3-C motif chemokine receptor 1  (CX3CR1) in hyper-IgE syndrome
Liu J, Yang J, Tang J et al. · Molecular biomedicine 2025 · PMID 41212476 · doi:10.1186/s43556-025-00323-1
This dataset
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.

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 GSE243002_RAW.tar (it can run to tens of gigabytes).

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.

What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1015708 and SRA study SRP459993. Searching any of these in the dataset finder brings you back here.

Samples in this study

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