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Comprehensive mass spectrometry screening-derived atlas of HDAC inhibitors reveals histone specific acetylation changes [ChIP-seq]

GSE308263 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2026/03/18 Platform GPL34284
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 12 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
Homo sapiens (human)
Samples
12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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
Comprehensive mass spectrometry screening-derived atlas of HDAC inhibitors reveals histone-specific acetylation changesCell reports · 2026
Summary (written by the submitters)
Histone deacetylases inhibitors (HDACi) have emerged as valuable therapeutics in cancer and other diseases, yet their effect on histone post-translational modification remains incompletely characterized. Here, we applied quantitative mass spectrometry and high throughput sequencing to systematically profile site-specific histone modification changes in response to a panel of HDAC inhibitors.
Read the full summary ↓
This platform enabled mapping of histone modification changes across hundreds of sites including low abundant histone marks. Furthermore, integrative analysis of ChIP-seq and RNA-seq identified genome wide binding site for a low-abundant histone mark H2A.Z acetylation in HeLa cells and MDA-MB-231 breast cancer cells, highlighting the role of H2A.Z acetylation in regulating gene expression through various biological pathways and specific genes involved in tumor suppressor pathways. Our findings provide a functional resource for identification and quantification of epigenetic changes and transcriptional regulation of histone H2A.Z acetylation upon pharmacological perturbation
Published in
Comprehensive mass spectrometry screening-derived atlas of HDAC inhibitors reveals histone-specific acetylation changes
Karki R, Vitorino FNL, Searfoss RM et al. · Cell reports 2026 · PMID 42030158 · doi:10.1016/j.celrep.2026.117289
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 GSE308263_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 PRJNA1329324 and SRA study SRP620870. Searching any of these in the dataset finder brings you back here.

Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 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
Datasets on a similar topic

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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.