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DELE1 mitochondrial integrated stress response to CHCHD10 G58R protein misfolding in striated muscle [RNA-seq]

GSE273310 Mus musculus (mouse) RNA-seq (gene expression) 64 samples Submitted 2024/07/31 Platform GPL13112
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: 12 conditions, mostly with about 6 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
DELE1 maintains muscle proteostasis to promote growth and survival in mitochondrial myopathyThe EMBO journal · 2024
Summary (written by the submitters)
Transcriptional mitochondrial stress response to CHCHD10 G58R protein misfolding in mouse heart, gastrocnemius, and tibalis anterior muscle the presence and absence of the DELE1 mitochondrial integrated stress responses
Published in
DELE1 maintains muscle proteostasis to promote growth and survival in mitochondrial myopathy
Lin HP, Petersen JD, Gilsrud AJ et al. · The EMBO journal 2024 · PMID 39379554 · doi:10.1038/s44318-024-00242-x
This dataset
Open GSE273310 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE273310_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1141402 and SRA study SRP522797. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39379554) ↗
Study design
12 conditions, mostly with about 6 replicates each
G_Control ×6 G_Dele1neg ×6 G_MutMTstress ×6 G_Dele1neg_MutMTstress ×6 H_Control ×6 H_Dele1neg ×6 H_MutMTstress ×6 H_Dele1neg_MutMTstress ×6 +4 more

Supports a between-group comparison across 64 samples.

How we read this: 12 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.