Mapping the Molecular Signature of Progressive Multiple Sclerosis
RNA-seq (gene expression) · human · 94 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
- 94 samples: 60 × MS MS vs 18 × Control C vs 16 × Control PDCGroups 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.
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 GSE290554_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 PRJNA1228601 and SRA study SRP566233. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 94 samples.
How we read this: 3 replicated groups read from 94 sample titles; they account for 94 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.
- GSM8813321 MS MS542 MS MS
- GSM8813322 Control PDC085 Control PDC
- GSM8813323 MS MS129 MS MS
- GSM8813324 MS MS403 MS MS
- GSM8813325 MS MS547 MS MS
- GSM8813326 MS MS497 MS MS
- GSM8813327 Control PDC068 Control PDC
- GSM8813328 Control PDC131 Control PDC
- GSM8813329 MS MS098 MS MS
- GSM8813330 Control C028 Control C
- GSM8813331 MS MS527 MS MS
- GSM8813332 Control C046 Control C
- GSM8813333 Control PDC123 Control PDC
- GSM8813334 Control C039 Control C
- GSM8813335 Control PDC087 Control PDC
- GSM8813336 Control PDC035 Control PDC
- GSM8813337 MS MS352 MS MS
- GSM8813338 Control C072 Control C
- GSM8813339 Control C054 Control C
- GSM8813340 Control C045 Control C
- GSM8813341 MS MS383 MS MS
- GSM8813342 MS MS430 MS MS
- GSM8813343 Control C064 Control C
- GSM8813344 MS MS086 MS MS
- GSM8813345 MS MS499 MS MS
- GSM8813346 MS MS061 MS MS
- GSM8813347 Control PDC029 Control PDC
- GSM8813348 MS MS586 MS MS
- GSM8813349 Control C076 Control C
- GSM8813350 MS MS049 MS MS
- GSM8813351 MS MS576 MS MS
- GSM8813352 Control PDC128 Control PDC
- GSM8813353 MS MS510 MS MS
- GSM8813354 MS MS274 MS MS
- GSM8813355 Control PDC022 Control PDC
- GSM8813356 MS MS060 MS MS
- GSM8813357 MS MS102 MS MS
- GSM8813358 MS MS301 MS MS
- GSM8813359 MS MS263 MS MS
- GSM8813360 Control C096 Control C
+ 54 more — browse all 94 samples with per-sample file links →
- GSE279180 Cell type mapping reveals tissue niches and interactions in subcortical multiple sclerosis lesions [snRNA-seq] 16 samples shares sclerosis, multiple, mapping
- GSE330029 Temporal changes in metabolism guide oligodendrocyte precursor cell dynamics in aging and multiple sclerosis [BulkRNAseq] 108 samples shares sclerosis, multiple
- GSE301908 Single-cell spatial transcriptomic profiling defines a pathogenic inflammatory niche in chronic active multiple sclerosis lesions - snRNA-seq 17 samples shares sclerosis, multiple
- GSE286068 CITEseq analysis of human CSF cells in Multiple sclerosis 26 samples shares sclerosis, multiple
- GSE283715 Cerebrospinal fluid-linked periventricular gradient pathology in multiple sclerosis associates with ependymal cell reactivity and cell adhesion disruption 18 samples shares sclerosis, multiple
- GSE305971 Integrative single-cell analysis reveals malignant archetypes and proliferative hierarchies in multiple myeloma 2105 samples shares multiple
- GSE286042 Transcriptomic and Proteomic Signatures Following AS03-adjuvanted Influenza A/H7N9 Vaccine 1232 samples shares signature
- GSE305969 Integrative single-cell analysis reveals malignant archetypes and proliferative hierarchies in multiple myeloma [Part 3 of 4: Illumina NovaSeq 6000; MARS_v2] 874 samples shares multiple
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.