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Lactate and histone H3K18 lactylation are associated with metabolic control of gene expression in the retina

GSE291677 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 38 samples Submitted 2026/02/26 Platform GPL30172
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 38 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
38 samples: 15 conditions, mostly in duplicateGroups 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
Lactate and histone H3K18 lactylation are associated with metabolic control of gene expression in the retinaPLoS genetics · 2026
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Lactate and histone H3K18 lactylation are associated with metabolic control of gene expression in the retina
Gaur M, Brooks MJ, Liang X et al. · PLoS genetics 2026 · PMID 41950290 · doi:10.1371/journal.pgen.1012100
This dataset
Open GSE291677 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 GSE291677_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1234637 and SRA study SRP679873. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41950290) ↗
Study design
15 conditions, mostly in duplicate
control, RNA-seq, ×5 2-DG, RNA-seq, ×4 5mM glucose, H3K18La (CUT&Tag), ×3 25mM glucose, H3K18La (CUT&Tag), ×3 P28 retina, H3K18La (CUT&Tag), ×3 5mM glucose, RNA-seq, biological replicate 1,… ×2 5mM glucose, RNA-seq, biological replicate 2,… ×2 5mM glucose, RNA-seq, biological replicate 3,… ×2 +7 more

Supports a between-group comparison across 38 samples.

How we read this: 15 replicated groups read from 38 sample titles; they account for 38 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
Datasets on a similar topic

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