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Polymerization of BTB transcription factors regulates chromatin occupancy [ChIP-Seq]

GSE251687 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 48 samples Submitted 2024/07/11 Platform GPL21697
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 48 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
48 samples: 24 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)
The broad-complex, tramtrack and bric-à-brac (BTB) family of transcription factors (TFs) serve as important regulators of hematopoietic development. The BTB domains of these TFs mediate co-repressor recruitment and dimerization, but their propensity to self-assemble into higher-order structures has not been established. Here, we survey 189 human BTB proteins and identify 18 BTB TFs that form punctate nuclear foci.
Read the full summary ↓
We demonstrate that these foci-forming BTB TFs polymerize into filaments and present the cryo-EM structures of ZBTB5BTB and ZBTB9BTB filaments. Finally, we find that polymerization in BTB TFs enhances chromatin occupancy within regions containing homotypic clusters of TF binding sites. This increased chromatin occupancy in turn leads to the repression of target genes. Taken together, our results reveal a novel mechanism to regulate BTB TFs, and suggest an underappreciated role for polymerization in regulating TF function.
This dataset
Open GSE251687 in finder → Find more human ChIP / ATAC / CUT&Tag 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 GSE251687_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 PRJNA1055065 and SRA study SRP479278. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
24 conditions, mostly in duplicate
293T WT-ZBTB3, Input, 0.01 Dox, ×2 293T WT-ZBTB3, Input, 0.1 Dox, ×2 293T WT-ZBTB3, Input, 1 Dox, ×2 293T K166A, Input, 0.01 Dox, ×2 293T K166A, Input, 0.1 Dox, ×2 293T K166A, Input, 1 Dox, ×2 293T WT-ZBTB3, ZBTB3, 0.01 Dox, ×2 293T WT-ZBTB3, ZBTB3, 0.1 Dox, ×2 +16 more

Supports a between-group comparison across 48 samples.

How we read this: 24 replicated groups read from 48 sample titles; they account for 48 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

+ 8 more — browse all 48 samples with per-sample file links →

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.