← BioTransfer GEO Dataset Finder
GEO series

Loss of skeletal muscle Bmal1 +/- Exercise Training [Mouse liver, heart, inguinal white adipose and lung tissues

GSE253735 Mus musculus (mouse) RNA-seq (gene expression) 64 samples Submitted 2024/07/02 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 64 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
64 samples: 16 conditions, mostly with about 5 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
Skeletal muscle BMAL1 is necessary for transcriptional adaptation of local and peripheral tissues in response to endurance exercise trainingMolecular metabolism · 2024
Summary (written by the submitters)
Investigate the effects loss of skeletal muscle Bmal1 has on systemic transcriptomes +/- exercise training. Mouse liver, heart, white adipose and lung tissues were collected 47 hours post their last exercise bout, with or without 6-weeks of daily treadmill training. +/- Skeletal muscle Bmal1
Published in
Skeletal muscle BMAL1 is necessary for transcriptional adaptation of local and peripheral tissues in response to endurance exercise training
Viggars MR, Berko HE, Hesketh SJ et al. · Molecular metabolism 2024 · PMID 38950777 · doi:10.1016/j.molmet.2024.101980
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 GSE253735_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 PRJNA1066839 and SRA study SRP484770. Searching any of these in the dataset finder brings you back here.

Study design
16 conditions, mostly with about 5 replicates each
Liver, Sedentary ×5 Liver, Sedentary, Muscle-Specific Bmal1KO ×5 Liver, Exercise Trained ×5 Liver, Exercise Trained, Muscle-Specific Bmal… ×5 Heart, Sedentary ×5 Heart, Sedentary, Muscle-Specific Bmal1KO ×5 Heart, Exercise Trained ×5 Heart, Exercise Trained, Muscle-Specific Bmal… ×5 +8 more

Supports a between-group comparison across 64 samples.

How we read this: 16 replicated groups read from 64 sample titles; they account for 64 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

+ 24 more — browse all 64 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.