← BioTransfer GEO Dataset Finder
GEO series

Uncoupling the two distinct roles of targeting BDCA2 in treating autoimmune diseases: direct inhibition of BDCA2-positive B cells and normalization of proinflammatory monocyte-derived macrophages via the global suppression of type I IFN

GSE314089 Homo sapiens (human) Single-cell RNA-seq 16 samples Submitted 2025/12/17 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 16 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
16 samples: 2 × R1_CpG-A+230V vs 2 × R2_D1_CpG-A+230V vs 2 × R2_D2_CpG-A+230V vs 2 × R2_D3_CpG-A+230VGroups 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)
Systemic lupus erythematosus (SLE) is a devastating autoimmune disease with two hallmarks: elevated levels of type I interferon (IFN) secreted by Plasmacytoid Dendritic Cells (pDCs) and autoantibodies produced by malfunctioning B cells. Indeed, the two marketed monoclonal antibodies for treating SLE are belimumab that targets B cells or anifrolumab that targets type I IFN.
Read the full summary ↓
In this study, we developed a novel anti-BDCA2 monoclonal antibody, 230V5, with an enhanced interaction with Fc receptors. The antibody exhibited superior inhibitory effects on IFN production and IgM production. Further study using scRNA-seq revealed that CpG induced a group of proinflammatory macrophages whose expression could be suppressed by 230V5 in a BDCA2-targeting and FcR-dependent manner. More importantly, we showed for the first time that BDCA2 is also expressed in B cells. BDCA2 expression in B cells can be induced by CpG and BAFF. Treatment with 230V5 effectively inhibited IgM production by PBMCs in a CD32B-dependent manner and reduced the number of BDCA2-expressing B cells. Thus, targeting BDCA2 is a promising therapeutic method for treating lupus-related diseases by targeting both B cells and pDCs
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 GSE314089_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 PRJNA1390069 and SRA study SRP655959. Searching any of these in the dataset finder brings you back here.

Study design
2 × R1_CpG-A+230V vs 2 × R2_D1_CpG-A+230V vs 2 × R2_D2_CpG-A+230V vs 2 × R2_D3_CpG-A+230V

Supports a between-group comparison across 8 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 8 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.

Samples in this study
Datasets on a similar topic

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.