Tamoxifen improves muscle structure and function of Bin1- and Dnm2-related centronuclear myopathies
RNA-seq (gene expression) · mouse · 28 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
- Mus musculus (mouse)
- Samples
- 28 samples: 6 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.
- Paper
- Integrative Multi-Omics and Network Analyses Reveal Pathogenic and Protective Pathways in Centronuclear MyopathiesInternational journal of molecular sciences · 2025
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 GSE282489_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 PRJNA1189005 and SRA study SRP546679. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 28 samples.
How we read this: 6 replicated groups read from 28 sample titles; they account for 28 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.
- GSM8644411 WT_placebo_rep1 WT_placebo
- GSM8644412 WT_placebo_rep2 WT_placebo
- GSM8644413 WT_placebo_rep3 WT_placebo
- GSM8644414 WT_tamox_rep1 WT_tamox
- GSM8644415 WT_tamox_rep2 WT_tamox
- GSM8644416 WT_tamox_rep3 WT_tamox
- GSM8644417 WT_tamox_rep4 WT_tamox
- GSM8644418 Dnm2SL_placebo_rep1 Dnm2SL_placebo
- GSM8644419 Dnm2SL_placebo_rep2 Dnm2SL_placebo
- GSM8644420 Dnm2SL_placebo_rep3 Dnm2SL_placebo
- GSM8644421 Dnm2SL_placebo_rep4 Dnm2SL_placebo
- GSM8644422 Dnm2SL_tamox_rep1 Dnm2SL_tamox
- GSM8644423 Dnm2SL_tamox_rep2 Dnm2SL_tamox
- GSM8644424 Dnm2SL_tamox_rep3 Dnm2SL_tamox
- GSM8644425 Dnm2SL_tamox_rep4 Dnm2SL_tamox
- GSM8644426 WT_placebo_rep4 WT_placebo
- GSM8644427 Bin1KO_placebo_rep1 Bin1KO_placebo
- GSM8644428 Bin1KO_placebo_rep2 Bin1KO_placebo
- GSM8644429 Bin1KO_placebo_rep3 Bin1KO_placebo
- GSM8644430 Bin1KO_placebo_rep4 Bin1KO_placebo
- GSM8644431 Bin1KO_tamox_rep1 Bin1KO_tamox
- GSM8644432 Bin1KO_tamox_rep2 Bin1KO_tamox
- GSM8644433 Bin1KO_tamox_rep3 Bin1KO_tamox
- GSM8644434 Bin1KO_tamox_rep4 Bin1KO_tamox
- GSM8644435 WT_placebo_rep5 WT_placebo
- GSM8644436 WT_placebo_rep6 WT_placebo
- GSM8644437 WT_placebo_rep7 WT_placebo
- GSM8644438 WT_placebo_rep8 WT_placebo
- GSE275016 The role of TIGIT in idiopathic inflammatory myopathies 6 samples shares myopathies
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.