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The Dlk1-Dio3 noncoding RNA cluster coordinately regulates mitochondrial respiration and chromatin structure to establish proper cell state for muscle differentiation

GSE268482 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2024/12/04 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples
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
The Dlk1-Dio3 noncoding RNA cluster coordinately regulates mitochondrial respiration and chromatin structure to establish proper cell state for muscle differentiationDevelopment (Cambridge, England) · 2024
Summary (written by the submitters)
The coordinate regulation of metabolic activity and epigenetics to establish cell state-specific gene expression patterns during lineage progression is among the most important aspects of cell differentiation. Cell states are defined by their epigenetic landscape and have cell state-specific metabolic demands. Defining the regulatory factors involved in the interplay between metabolism and cell state would represent a significant step forward in understanding the genetic circuitry that drives differentiation of progenitor cells into highly specialized cell types for proper tissue formation.
Read the full summary ↓
Expression levels of the imprinted Dlk1-Dio3 noncoding RNA (ncRNA) mega-cluster have been shown to correlate with distinct metabolic profiles in a variety of progenitor cells, suggesting it functions as a key regulator of metabolism and cell state. Here, we directly demonstrate that the Dlk1-Dio3 ncRNA locus is a central player coordinating mitochondrial metabolic activity and genome-wide epigenetic changes in myoblasts and differentiated myotubes. Stable muscle cell lines were generated harboring two distinct deletions in the proximal promoter region resulting in either greatly upregulated or severely attenuated transcription of the entire mega-cluster of Dlk1-Dio3 ncRNAs. Both mutant lines displayed impaired myotube formation along with perturbed mitochondrial respiration and widespread changes in chromatin accessibility and histone methylation. Global gene expression patterns and pathway analyses indicated a reprogramming of cell state which created a differentiated-like molecular profile in proliferating myoblasts. Our results strongly suggest that the Dlk1-Dio3 ncRNA locus is a nodal regulator coordinating metabolic activity and the epigenome to maintain proper cell state in the myogenic lineage.
Published in
The Dlk1-Dio3 noncoding RNA cluster coordinately regulates mitochondrial respiration and chromatin structure to establish proper cell state for muscle differentiation
Pinheiro A, Petty CA, Stephens CE et al. · Development (Cambridge, England) 2024 · PMID 39612212 · doi:10.1242/dev.203127
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 GSE268482_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 PRJNA1117440 and SRA study SRP510283. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 18 more — browse all 18 samples with per-sample file links →

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