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Histone demethylation and c-MYC activation enhance translational capacity in response to amino acid restriction [RNA-seq]

GSE100303 Homo sapiens (human) DNA methylation 14 samples Submitted 2024/12/31 Platform GPL11154Platform GPL20301
At a glance

DNA methylation · human · 14 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Homo sapiens (human)
Samples
14 samples: 12 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
Coordinated histone methylation loss and MYC activation promote translational capacity under amino acid restrictionCancer & metabolism · 2025
Summary (written by the submitters)
Nutrient limitation may elicit adaptive epigenetic changes but the nature and mechanisms of the cellular response to specific nutrient deficiencies are incompletely understood. We report that depriving human cells of amino acids (AAs) induces specific loss of H4K20me1 from gene bodies and elevated binding of c-MYC at promoters genome-wide.
Read the full summary ↓
These effects are most pronounced at ribosomal protein and translation initiation genes, which are upregulated, leading to enhanced protein synthetic capacity. Combination of H4K20 methyltransferase depletion and c-MYC over-expression in rich media is required and sufficient to recapitulate the effects of AA restriction. Our data reveal an unexpected and epigenetically implemented increase in translational capacity when AAs are limiting, likely to safeguard the proteome by making effective use of limited resources.
Published in
Coordinated histone methylation loss and MYC activation promote translational capacity under amino acid restriction
Cheng C, Su T, Morselli M et al. · Cancer & metabolism 2025 · PMID 40524273 · doi:10.1186/s40170-025-00399-x
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 GSE100303_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: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA391298 and SRA study SRP110024. Searching any of these in the dataset finder brings you back here.

Study design
12 distinct titles, 2 of them repeated
HeLa_AA_mRNAseq ×2 HeLa_NOAA_mRNAseq ×2

How we read this: Read from 14 sample titles: 12 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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