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The tRNA methyltransferase Mettl1 governs ketogenesis through translational regulation and drives metabolic reprogramming in cardiomyocyte maturation

GSE263137 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2024/10/13 Platform GPL19057Platform GPL32027Platform GPL24247
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: 14 distinct titles, 2 of them repeatedGroups 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
The tRNA methyltransferase Mettl1 governs ketogenesis through translational regulation and drives metabolic reprogramming in cardiomyocyte maturationNature cardiovascular research · 2024
Summary (written by the submitters)
Following birth, the heart undergoes intricate transitions in response to the altered environment, including shifts in energy metabolism and cytoarchitecture, such as the switch from glucose to lipid utilization and the transformation of fetal-to-adult sarcomeric gene isoforms, all aimed at achieving functional maturation. These adaptations facilitate efficient energy production and cardiac contraction, enabling the heart to effectively pump blood throughout the body.
Read the full summary ↓
Although the early postnatal period is widely recognized as a critical phase for cardiomyocyte maturation, the precise mechanisms initiating and orchestrating this process remain elusive. Using in vivo and in vitro models incorporated with multi-omic analyses, we here show that Mettl1 is a critical regulator in postnatal cardiomyocyte maturation. We demonstrate that Mettl1 is required for the proper ketogenesis in cardiomyocyte maturation via regulating Hmgcs2 translation. Loss of Mettl1 leads to aberrant metabolic reprogramming and subsequent cardiomyocyte immaturation through the deficiency in lysine β-hydroxybutyrylation of TCA cycle-related proteins.
Published in
The tRNA methyltransferase Mettl1 governs ketogenesis through translational regulation and drives metabolic reprogramming in cardiomyocyte maturation
Du T, Han Y, Han H et al. · Nature cardiovascular research 2024 · PMID 39587264 · doi:10.1038/s44161-024-00565-2
This dataset
Open GSE263137 in finder → Find more 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 GSE263137_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 PRJNA1095927 and SRA study SRP499596. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39587264) ↗
Study design
14 distinct titles, 2 of them repeated
H9C2_WT ×3 H9C2_M1-null ×3

How we read this: Read from 18 sample titles: 14 distinct titles with little repetition. 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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