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Co-expression analysis reveals gene cluster associated with methylation of enhancers and chromosomal instability under TP63 and TRIM29 regulation.

GSE204813 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 21 samples Submitted 2024/03/19 Platform GPL16791Platform GPL21145
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 21 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)
Topic
Prostate cancerThis series is part of our curated briefing on it.
Samples
21 samples: 21 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
TP63-TRIM29 axis regulates enhancer methylation and chromosomal instability in prostate cancerEpigenetics & chromatin · 2024
Summary (written by the submitters)
Prostate adenocarcinoma (PRAD) is the second most common cause of cancer-related deaths in men. In PRAD, high variability in DNA methylation and a high rate of large genomic rearrangements is often observed. To elucidate the reasons behind such high variance, we integrated DNA methylation, RNA-seq, and copy number alterations datasets from The Cancer Genome Atlas (TCGA) focusing on PRAD and subsequently employed weighted gene co-expression network analysis (WGCNA).
Read the full summary ↓
Our results show that only a single cluster of co-expressed genes is associated with genomic and epigenomic instability. Within this cluster, TP63 and TRIM29 are key transcription regulators and are downregulated in PRAD. We revealed that TP63 regulates the level of enhancer methylation in prostate basal epithelium cells. TRIM29 forms a complex with TP63 and together regulate the expression of genes specific to the prostate basal epithelium. Moreover, TRIM29 binds DNA repair proteins and prevents formation of the TMPRSS2:ERG gene fusion typically observed in PRAD. Therefore, the study shows that TRIM29 and TP63 are important regulators maintaining the identity of the basal epithelium under physiological conditions. Finally, we uncover the role of TRIM29 in PRAD development.
Published in
TP63-TRIM29 axis regulates enhancer methylation and chromosomal instability in prostate cancer
Sultanov R, Mulyukina A, Zubkova O et al. · Epigenetics & chromatin 2024 · PMID 38481282 · doi:10.1186/s13072-024-00529-7
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 GSE204813_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 PRJNA842380 and SRA study SRP377070. Searching any of these in the dataset finder brings you back here.

Study design
21 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 21 sample titles: 21 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
More Prostate cancer datasets

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