← BioTransfer GEO Dataset Finder
GEO series

Daratumumab in systemic lupus erythematosus: a phase 2 trial

GSE294789 Homo sapiens (human) RNA-seq (gene expression) 56 samples Submitted 2025/12/13 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 56 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
56 samples: 56 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
Daratumumab in systemic lupus erythematosus: a single-arm phase 2 trialNature communications · 2026
Summary (written by the submitters)
Antibody-secreting cells (ASCs) play a central role in the pathophysiology of systemic lupus erythematosus (SLE). This single-arm, open-label, phase 2 clinical trial aimed to evaluate the safety and efficacy of the ASC-depleting anti-CD38 monoclonal antibody daratumumab in patients with refractory SLE. The primary endpoint was a significant reduction in serum anti-double-stranded DNA (anti-dsDNA) antibody levels.
Read the full summary ↓
Ten female patients with active disease and inadequate responses to at least two disease-modifying drugs received eight weekly subcutaneous injections of 1800 mg daratumumab. By week 12, anti-dsDNA antibody levels were significantly reduced (p=0.002), accompanied by rapid and sustained clinical improvements across all patients and organ domains. Adverse events were mild to moderate. Daratumumab treatment depleted circulating ASCs, reduced type I interferon activity, and profoundly modulated T-cell responses. These findings highlight the pivotal role of ASCs in SLE pathogenesis and support daratumumab as a promising therapeutic option for refractory SLE. ClinicalTrials.gov identifier: NCT04810754.
Published in
Daratumumab in systemic lupus erythematosus: a single-arm phase 2 trial
Ostendorf L, Zernicke J, Klotsche J et al. · Nature communications 2026 · PMID 41629292 · doi:10.1038/s41467-026-69112-w
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 GSE294789_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: 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 PRJNA1251604 and SRA study SRP579084. Searching any of these in the dataset finder brings you back here.

Study design
56 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 56 sample titles: 56 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

+ 16 more — browse all 56 samples with per-sample file links →

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.