GEO series

Gene expression profile at the single-cell level of skin and PBMC samples collected from patients with severe cutaneous adverse drug reactions (SCADR).

GSE235512 Homo sapiens (human) Single-cell RNA-seq 14 samples Submitted 2026/06/01 Platform GPL20301

At a glance

Single-cell RNA-seq · human · 14 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism: Homo sapiens (human)
Samples: 14 samples: 14 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.

Summary (written by the submitters)

Severe cutaneous adverse drug reactions (SCADR) encompass a wide spectrum of potentially dreadful disease entities resulting from a type IV delayed hypersensitivity reaction. Single-cell RNA sequencing (scRNA-seq) provides an opportunity to decipher potential cell-cell interactions and cell-type specific transcriptomic changes, amenable to therapeutic intervention, particularly in rare diseases with heterogenous clinical presentations and lacking experimental animal models, such as SCADR.

Read the full summary ↓

We performed scRNA-seq on the skin of four patients diagnosed with SCADR syndromes including one toxic epidermal necrolysis (TEN), one Stevens-Johnson syndrome (SJS), one acute generalized exanthematous pustulosis (AGEP), and one extensive drug-related maculopapular rash (MPR), and three healthy controls.

This dataset

Open GSE235512 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 GSE235512_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: 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 PRJNA986170 and SRA study SRP445245. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

14 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 14 sample titles: 14 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

GSM7504437 S1_TEN
GSM7504438 S2_SJS
GSM7504439 S3_AGEP
GSM7504440 S4_MPR
GSM7504441 S5_Healthy_Control_1
GSM7504442 S6_Healthy_Control_2
GSM7504443 S7_Healthy_Control_3
GSM7504444 S8_TEN
GSM7504445 S9_SJS
GSM7504446 S10_AGEP
GSM7504447 S11_MPR
GSM7504448 S12_Healthy_Control_1
GSM7504449 S13_Healthy_Control_2
GSM7504450 S14_Healthy_Control_3

Datasets on a similar topic

GSE227835 Single-cell RNA-seq data of human PBMC from Myasthenia Gravis patients 40 samples shares pbmc, single-cell
GSE279945 OP3: single-cell multimodal dataset in PBMCs for perturbation prediction benchmarking 102 samples shares pbmc, single-cell
GSE334588 Single-cell transcriptomic atlas of adult dermatomyositis, cutaneous lupus erythematosus and healthy skin 48 samples shares single-cell, cutaneous
GSE316832 Comprehensive single-cell transcriptomic profiling of the scalp from patients with moderate-to-severe alopecia areata 30 samples shares single-cell, severe
GSE272005 Genomic and single-cell landscape of transformed cutaneous T-cell lymphoma 32 samples shares single-cell, cutaneous
GSE205672 Transcriptomes of human PBMCs and monocytes in sepsis patients 460 samples shares pbmc
GSE267718 Single cell RNA sequencing (scRNAseq) of urine-derived cells, peripheral blood mononuclear (PBMC), and tumor cells from bladder cancer patients. 33 samples shares pbmc
GSE267023 scRNA-seq analysis of PBMCs from ischemic stroke patients 16 samples shares pbmc

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.