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Splicing changes in gastrocnemius muscle from 3-month-old HSALR mice

GSE226676 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2024/06/06 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 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
Mus musculus (mouse)
Samples
16 samples: 5 × HSA_CTRL__S vs 5 × HSA_AICAR__S vs 3 × FVB_AICAR__S vs 3 × FVB_CTRL__SGroups 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
CaMKIIβ deregulation contributes to neuromuscular junction destabilization in Myotonic Dystrophy type ISkeletal muscle · 2024
Summary (written by the submitters)
The initial aim of the study was to determine the mechanisms underlying the positive effect of AICAR on the phenotype of HSALR mice, a well-known model for DM1. We have previously shown that treatment with AICAR reduces myotonia and mis-splicing in the HSALR mice. We here aimed to identify splicing and transcriptional changes in gastrocnemius muscle from HSALR mice treated or not with AICAR, as compared to FVB control mice. The data obtained from untreated mice were then used in the study focused on NMJ alterations and CaMKII deregulation in DM1.
Published in
CaMKIIβ deregulation contributes to neuromuscular junction destabilization in Myotonic Dystrophy type I
Falcetta D, Quirim S, Cocchiararo I et al. · Skeletal muscle 2024 · PMID 38769542 · doi:10.1186/s13395-024-00345-3
This dataset
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.

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 GSE226676_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA941217 and SRA study SRP425788. Searching any of these in the dataset finder brings you back here.

Study design
5 × HSA_CTRL__S vs 5 × HSA_AICAR__S vs 3 × FVB_AICAR__S vs 3 × FVB_CTRL__S

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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
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