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Transcriptome Sequencing Data of Peripheral Blood Neutrophils in Multiple Sclerosis Patients and Healthy Volunteers

GSE288904 Homo sapiens (human) RNA-seq (gene expression) 37 samples Submitted 2025/02/17 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 37 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
37 samples: 29 × neutrophil,HC,biol vs 8 × neutrophil,MS,biolGroups 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
Alterations in neutrophil mRNA profiles in multiple sclerosis and identification of candidate genes for further investigationFrontiers in neurology · 2025
Summary (written by the submitters)
Multiple sclerosis (MS) is a chronic, inflammatory, and demyelinating disease of the central nervous system. To explore the transcriptomic characteristics of peripheral blood neutrophils during the acute phase of MS, we conducted transcriptome sequencing analysis. Peripheral blood neutrophils were isolated from 8 MS patients in the acute phase and 29 age- and sex-matched healthy volunteers using density gradient centrifugation.
Read the full summary ↓
RNA was extracted and sequenced on the Illumina platform to identify differentially expressed genes (DEGs) and their associated pathways. Bioinformatic analyses revealed significant alterations in genes related to immune response, neutrophil degranulation, and intracellular signaling. These findings provide insights into the molecular mechanisms underlying MS pathology and offer potential biomarkers for diagnosis and therapeutic targets.
Published in
Alterations in neutrophil mRNA profiles in multiple sclerosis and identification of candidate genes for further investigation
Zhang H, Guo R, Han Y et al. · Frontiers in neurology 2025 · PMID 40035034 · doi:10.3389/fneur.2025.1548196
This dataset
Open GSE288904 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 GSE288904_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 PRJNA1219981 and SRA study SRP561931. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40035034) ↗
Study design
29 × neutrophil,HC,biol vs 8 × neutrophil,MS,biol

Supports a between-group comparison across 37 samples.

How we read this: 2 replicated groups read from 37 sample titles; they account for 37 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

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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.