VEXAS syndrome, myelodysplasia cutis and sweet syndrome skin lesions share a common transcriptomic profile led by interferon signaling
RNA-seq (gene expression) · human · 25 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)
- Topic
- Myelodysplastic syndromesThis series is part of our curated briefing on it.
- Samples
- 25 samples: 5 conditions, mostly with about 5 replicates eachGroups 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
- Inflammatory Signatures in VEXAS Syndrome, Myelodysplasia Cutis, and Sweet SyndromeJAMA dermatology · 2025
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE245639_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1029488 and SRA study SRP466988. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 25 samples.
How we read this: 5 replicated groups read from 25 sample titles; they account for 25 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.
- GSM7846290 VEXAS syndrome 1 [1] VEXAS syndrome
- GSM7846291 VEXAS syndrome 2 [2] VEXAS syndrome
- GSM7846292 VEXAS syndrome 3 [3] VEXAS syndrome
- GSM7846293 VEXAS syndrome 4 [4] VEXAS syndrome
- GSM7846294 VEXAS syndrome 5 [5] VEXAS syndrome
- GSM7846295 Idiopathic sweet syndrome 1 [6] Idiopathic sweet syndro…
- GSM7846296 Idiopathic sweet syndrome 2 [7] Idiopathic sweet syndro…
- GSM7846297 Idiopathic sweet syndrome 3 [8] Idiopathic sweet syndro…
- GSM7846298 Idiopathic sweet syndrome 4 [9] Idiopathic sweet syndro…
- GSM7846299 Idiopathic sweet syndrome 5 [10] Idiopathic sweet syndro…
- GSM7846300 Leukemia-cutis 1 [11] Leukemia-cutis
- GSM7846301 Leukemia-cutis 2 [12] Leukemia-cutis
- GSM7846302 Leukemia-cutis 3 [13] Leukemia-cutis
- GSM7846303 Leukemia-cutis 4 [14] Leukemia-cutis
- GSM7846304 Leukemia-cutis 5 [15] Leukemia-cutis
- GSM7846305 MDS-cutis 1 [16] MDS-cutis
- GSM7846306 MDS-cutis 2 [17] MDS-cutis
- GSM7846307 MDS-cutis 3 [18] MDS-cutis
- GSM7846308 MDS-cutis 4 [19] MDS-cutis
- GSM7846309 VEXAS syndrome 6 [20] VEXAS syndrome
- GSM7846310 Healthy control 1 [21] Healthy control
- GSM7846311 Healthy control 2 [22] Healthy control
- GSM7846312 Healthy control 3 [23] Healthy control
- GSM7846313 Healthy control 4 [24] Healthy control
- GSM7846314 Healthy control 5 [25] Healthy control
- GSE338788 Patient Derived Neomorphic SEPTIN6 Mutations Induce Hematopoietic Stem Cell Senescence Underlying Congenital Neutropenia and Myelodysplasia 8 samples same disease briefing · shares myelodysplasia
- GSE15688 Acquired mutations in TET2 are common in myelodysplastic syndromes 122 samples same disease briefing · shares common
- GSE19523 Affymetrix SNP array data for Genomic Instability and Myelodysplasia with Monosomy 7 12 samples same disease briefing · shares myelodysplasia
- GSE264117 Investigating microenvironment in MDS II 503 samples same disease briefing
- GSE285943 A reference model for circulating hematopoietic stem cells with applications to diagnostics 299 samples same disease briefing
- GSE281562 Unique epigenomic signatures identify biologically significant subtypes of MDS and predict response to azacytidine [RNA-Seq] 83 samples same disease briefing
- GSE314218 Incorporation of genomic determinants improves diagnostic accuracy of oligomonocytic chronic myelomonocytic leukemia 47 samples same disease briefing
- GSE211032 Expression Analysis (RNA-Seq) of adult Myelodysplastic Syndromes (MDS)/Acute Myeloid Leukemia (AML) with isolated monosomy 7 compared to controls 45 samples same disease briefing
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.