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Epigenome reprogramming through H3K27 and H3K4 trimethylation as a resistance mechanism to DNA methylation inhibition in BRAFV600E-mutated CRC. [ChIP-Seq]

GSE254365 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 30 samples Submitted 2024/09/03 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 30 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
30 samples: 30 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
Epigenome Reprogramming Through H3K27 and H3K4 Trimethylation as a Resistance Mechanism to DNA Methylation Inhibition in BRAFV600E-Mutated Colorectal CancerClinical cancer research : an official journal of the American Association for Cancer Research · 2024
Summary (written by the submitters)
BRAFV600E-mutated colorectal cancer (CRC) exhibits a strong correlation with DNA hypermethylation suggesting this subgroup of tumors is uniquely presenting epigenomic phenotypes. Nonetheless, the traditional epigenomic therapeutic agent, 5-azacitidine, which inhibits DNA methyltransferase activity, did not yield sufficient improvements in the efficacies of BRAFV600E CRC in vivo.
Read the full summary ↓
We utilized a patient-derived xenograft model and confirmed an effective reduction of DNA methylation levels upon 5-azacitidine treatment yet failed to restore gene expression patterns. This study unbiasedly explored the adaptive engagement of other epigenomic modifications upon the profound decrease in DNA methylation by azacitidine treatment. A loss of histone acetylation and a gain of histone methylations, including H3K27 and H3K4 trimethylation, were observed around hypomethylated regions. Our findings suggested a compensatory increase in repressive histone mark, H3K27 trimethylation, around treatment-induced hypomethylated regions, which suggests the involvement of polycomb repressive complex (PRC) activity around the genome with lost DNA methylation, therefore maintaining the suppression of key genes. Combined inhibition of PRC activity through EZH2 inhibitor with azacitidine treatment additively improved efficacies in BRAFV600E CRC cells. In conclusion, DNA hypermethylation exhibits a close association with H3K27me3 and PRC activity in BRAFV600E CRC, and simultaneous blockade of DNMT and EZH2 holds promise as a potential therapeutic strategy for patients with BRAFV600E-mutated CRC.
Published in
Epigenome Reprogramming Through H3K27 and H3K4 Trimethylation as a Resistance Mechanism to DNA Methylation Inhibition in BRAFV600E-Mutated Colorectal Cancer
Lee HM, Saw AK, Morris VK et al. · Clinical cancer research : an official journal of the American Association for Cancer Research 2024 · PMID 39269307 · doi:10.1158/1078-0432.CCR-24-1166
This dataset
Open GSE254365 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 GSE254365_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 PRJNA1070257 and SRA study SRP486344. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39269307) ↗
Study design
30 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 30 sample titles: 30 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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