← BioTransfer GEO Dataset Finder
GEO series

CBP-IDRs regulate acetylation and gene expression [CUT&Run]

GSE299613 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 24 samples Submitted 2026/02/23 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 24 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
24 samples: 12 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
CBP-IDRs regulate acetylation and gene expressionCell reports · 2026
Summary (written by the submitters)
Intrinsically disordered regions (IDRs) have emerged as crucial regulators of protein function, allowing proteins to sense and respond to their environment. Creb binding protein (CBP) and EP300 (p300) are transcription coactivators that regulate gene expression in multicellular organisms, following their recruitment to cis-regulatory elements.
Read the full summary ↓
CBP and p300 contain large IDRs, however little is known about how these different IDRs work together to regulate CBP function. Here, we show that CBP-IDRs cooperate to control different aspects of CBP behaviour in the nucleus, by regulating the properties of fluid-like condensates formed by endogenous CBP. We show how IDRs with different sequence properties make unique contributions to CBP behaviour by establishing a balance between positive and negative regulation of CBP condensates. These conflicting interactions are functionally important, shaping CBPs response to factors such as lysine acetylation, that influence condensate formation. When disrupted, regulatory CBP-IDRs change how CBP interacts with chromatin, alter patterns of CBP-dependent histone acetylation and change gene expression. Together, our work highlights how IDRs with different sequences, spatially segregated in the same protein, can cooperate to shape protein function.
Published in
CBP-IDRs regulate acetylation and gene expression
Gelder KL, Carruthers NA, Gilbert G et al. · Cell reports 2026 · PMID 41824454 · doi:10.1016/j.celrep.2026.117109
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 GSE299613_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 PRJNA1275682 and SRA study SRP591952. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly in duplicate
HEK293T, Dox_CBPwt_H3K27ac, CUTRUN, ×2 HEK293T, Dox_CBPIDR6_H3K27ac, CUTRUN, ×2 HEK293T, Dox_CBPIDR7_H3K27ac, CUTRUN, ×2 HEK293T, Tet3G_CBP_H3K27ac, CUTRUN, ×2 HEK293T, Dox_CBPwt_H3K27ac, Input, ×2 HEK293T, Dox_CBPIDR6_H3K27ac, Input, ×2 HEK293T, Dox_CBPIDR7_H3K27ac, Input, ×2 HEK293T, Tet3G_CBP_H3K27ac, Input, ×2 +4 more

Supports a between-group comparison across 24 samples.

How we read this: 12 replicated groups read from 24 sample titles; they account for 24 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

Search all human ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

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.