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SUMOylation Regulates Super-Enhancers Through Transcription Factor TFAP2C Binding on Chromatin [ChIP-seq]

GSE171804 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 22 samples Submitted 2024/04/13 Platform GPL16791
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 22 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
22 samples
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
Regulation of Enhancers by SUMOylation Through TFAP2C Binding and Recruitment of HDAC Complex to the ChromatinResearch square · 2024
Summary (written by the submitters)
Genome wide localization of SUMO1 and SUMO2/3 proteins revealed an asscociation of SUMO proetins with active chromatin. SUMO proteins are enriched at super enhancers and enhancers and SUMOylation regulates a subset of these super enhancers. Super enhancers regulated by SUMOylation were enriched for transcription factor TFAP2C and SUMOylation negatively regulates TFAP2C localization to enhancers and super enhancers.
Read the full summary ↓
Proteomics and ChIP-PCR at MYC SE suggests that chromatin bound TFAP2C recruits histone deacetylation complexes that increases upon SAE2 knockdown. Conversely, SUMOylation promoted TFAP2C asscociation with pre-mRNA splicing machinery components. Taken together, our study revealed a critical role of SUMOylation in chromatin modification through an AP-2 family of transcription factor, TFAP2C and a potential role of TFAP2C in pre-mRNA splicing.
Published in
Regulation of Enhancers by SUMOylation Through TFAP2C Binding and Recruitment of HDAC Complex to the Chromatin
Abeywardana T, Wu X, Huang ST et al. · Research square 2024 · PMID 38645262 · doi:10.21203/rs.3.rs-4201913/v1
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 GSE171804_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 PRJNA720944 and SRA study SRP314254. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 22 more — browse all 22 samples with per-sample file links →

Datasets on a similar topic

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