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Altering metabolism to program cell identity via NAD+ dependent deacetylation

GSE173543 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 141 samples Submitted 2025/04/01 Platform GPL19057Platform GPL30172
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 141 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
141 samples: 101 distinct titles, 27 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
Altering metabolism programs cell identity via NAD(+)-dependent deacetylationThe EMBO journal · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Altering metabolism programs cell identity via NAD(+)-dependent deacetylation
Bone RA, Lowndes MP, Raineri S et al. · The EMBO journal 2025 · PMID 40281356 · doi:10.1038/s44318-025-00417-0
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 GSE173543_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 peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA726042 and SRA study SRP316790. Searching any of these in the dataset finder brings you back here.

Study design
101 distinct titles, 27 of them repeated
Tead1_SL_Jup ×3 Tead1_EMM_Jup ×3 Tead1_EMMplusNAM_Jup ×3 Sox2_SL_E14_biol ×3 Sox2_EMM_E14_biol ×3 Sox2_SL_GFPplus_c85_biol ×3 Sox2_EMM_GFPplus_c85_biol ×3 P10_2iL ×3 +19 more

How we read this: Read from 141 sample titles: 101 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

+ 101 more — browse all 141 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.