Moderate-level resistance exercise significantly improved the Sickness Impact Profile ALS-19 and muscle transcriptome of the early-stage ALS patients.
RNA-seq (gene expression) · human · 14 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
- 14 samples: 14 samples, each with a distinct title — no replicated groupsGroups 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
- Resistance exercise in early-stage ALS patients, ALSFRS-R, Sickness Impact Profile ALS-19, and muscle transcriptome: a pilot studyScientific reports · 2024
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 GSE250455_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 PRJNA1054094 and SRA study SRP478620. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 14 sample titles: 14 distinct titles with little repetition. 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.
- GSM7979364 Participant 3834-001 Post exercise
- GSM7979365 Participant 3834-001 Pre exercise
- GSM7979366 Participant 3834-002 Post exercise
- GSM7979367 Participant 3834-002 Pre exercise
- GSM7979368 Participant 3834-003 Post exercise
- GSM7979369 Participant 3834-003 Pre exercise
- GSM7979370 Participant 3834-005 Post exercise
- GSM7979371 Participant 3834-005 Pre exercise
- GSM7979372 Participant 3834-007 Post exercise
- GSM7979373 Participant 3834-007 Pre exercise
- GSM7979374 Participant 3834-008 Post exercise
- GSM7979375 Participant 3834-008 Pre exercise
- GSM7979376 Participant 3834-009 Post exercise
- GSM7979377 Participant 3834-009 Pre exercise
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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.