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SPT6 Regulates H3K14Ac Deposition in Mouse Embryonic Stem Cells [ChIP-seq-mES]

GSE282178 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 98 samples Submitted 2025/05/22 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 98 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
98 samples: 47 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.
Summary (written by the submitters)
SPT6 (suppressor of Ty 6) is a conserved histone chaperone that facilitates transcription elongation, nucleosome reassembly, and RNA polymerase II progression. The functions of SPT6 in regulating chromatin remain not fully understood. Here we show that SPT6 localized to H3K14Ac enriched regions and promoted H3K14Ac densities in mouse embryonic stem cells (mESCs).
Read the full summary ↓
Loss of SPT6 results in decreased H3K14Ac and transcription. Mechanistically, we showed that SPT6 enhances the chromatin binding levels of acetyltransferases KAT7 and KAT6A/KAT6B. In addition, we showed that SPT6 also promotes H3K14Ac in a KAT7/6A/6B independent manner. Our findings identify a vital role of SPT6 in maintaining the integrity of H3K14Ac profile in mESCs, thus suggesting a crosstalk between transcription machinery and H3K14Ac in mammals.
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 GSE282178_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 PRJNA1187535 and SRA study SRP545907. Searching any of these in the dataset finder brings you back here.

Study design
47 conditions, mostly in duplicate
mES, dTAG_SPT6, DMSO, H3, ×4 mES, dTAG_SPT6, dTAG3h, H3, ×4 mES, WT, SPT6, ×2 mES, dTAG_SPT6, DMSO, FLAG, ×2 mES, dTAG_SPT6, dTAG3h, FLAG, ×2 mES, dTAG_SPT6, H3K14Ac, ×2 mES, dTAG-SPT6, DMSO, H3K14Ac, ×2 mES, dTAG-SPT6, dTAG3h, H3K14Ac, ×2 +39 more

Supports a between-group comparison across 98 samples.

How we read this: 47 replicated groups read from 98 sample titles; they account for 98 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

+ 58 more — browse all 98 samples with per-sample file links →

Datasets on a similar topic

Search all mouse ChIP / ATAC / CUT&Tag 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.