← BioTransfer GEO Dataset Finder
GEO series

Distinctive Transcriptional and Microbial Signature in Cutaneous Acute Graft-vs-Host-Disease

GSE263557 Homo sapiens (human) RNA-seq (gene expression) 45 samples Submitted 2024/04/12 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 45 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
45 samples: 8 conditions, mostly with about 4 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.
Summary (written by the submitters)
Skin acute graft-vs-host disease (aGVHD) is often the first manifestation of GVHD, yet very few preclinical and clinical studies have focused on this target organ, leaving a critical information gap in the pathophysiology of GVHD. We hypothesized that analysis of host gene expression and microbiome profiling could yield novel insights into the molecular and immunologic mechanisms underlying skin GVHD.
Read the full summary ↓
Our objectives were to determine the differential host gene expression and microbiome profile of human skin aGVHD samples compared to normal skin, and aGVHD corticosteroid responders to non-responders. We performed RNA-Sequencing on lower arm biopsies from 45 patients compared to 10 healthy controls. Our findings suggest a distinctive transcriptional signature of cutaneous aGVHD, that could identify potentially actionable targets for prevention or treatment of corticosteroid refractory disease. Our analysis suggests a key role of dendritic cells and macrophages, potentially mediated by differential expression of MIF, in the development of cutaneous aGVHD and corticosteroid responsiveness. Additionally, we describe a unique microbial signature in cutaneous aGVHD that includes skin microbes not previously described in this population.
This dataset
Open GSE263557 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 GSE263557_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: 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 PRJNA1098051 and SRA study SRP500553. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly with about 4 replicates each
D06 ×10 D05 ×8 D13 ×7 D04 ×5 D11 ×4 D08 ×4 D14 ×3 D09 ×2 +2 more

Supports a between-group comparison across 43 samples.

How we read this: 8 replicated groups read from 45 sample titles; they account for 43 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

+ 5 more — browse all 45 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.