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Mapping the Molecular Signature of Progressive Multiple Sclerosis [197191]

GSE290552 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2025/02/26 Platform GPL30882
At a glance

RNA-seq (gene expression) · human · 16 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
16 samples
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)
Multiple Sclerosis is a complex neurological disorder characterised by inflammation, demyelination, and neurodegeneration of the central nervous system. While treatments exist for relapsing-remitting multiple sclerosis, therapeutic options for the progressive forms remain limited, highlighting the need to understand their distinct pathological mechanisms.
Read the full summary ↓
To identify subtype specific molecular signatures in patients with multiple sclerosis, bulk RNA sequencing was performed in 90 brain tissue samples from donors with relapsing-remitting, secondary progressive, and primary progressive multiple sclerosis, as well as controls without the disease. This study provides open access to transcriptomic data from multiple sclerosis tissue samples, enabling other researchers to perform independent analyses, validate findings, and generate new hypotheses.
This dataset
Open GSE290552 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 GSE290552_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 PRJNA1228611 and SRA study SRP566639. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

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

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