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PRMT1 Promotes Epigenetic Reprogramming Associated with Acquired Chemoresistance in Pancreatic Cancer

GSE227129 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 29 samples Submitted 2024/04/29 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 29 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
Mus musculus (mouse)
Samples
29 samples: 5 × H3K27Ac_D vs 5 × MAFF_D vs 5 × BACH1_DGroups 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
PRMT1 promotes epigenetic reprogramming associated with acquired chemoresistance in pancreatic cancerCell reports · 2024
Summary (written by the submitters)
Pancreatic Ductal Adenocarcinoma (PDAC) is associated with extremely poor prognosis due to late diagnosis and therapeutic resistance. Here we show that PDAC cells undergo progressive reprogramming of the global epigenetic landscape during the process of acquiring chemoresistance. Through an epigenetic inhibitor screen, we identified Protein Arginine methyltransferase 1 (PRMT1) as a central driver of chemoresistance in PDAC.
Read the full summary ↓
Genetic or pharmacological inhibition of PRMT1 impaired adaptive epigenetic reprogramming, sensitized PDAC cells to Gemcitabine and other commonly used chemo drugs, and delayed the development of acquired resistance both in vitro and in vivo. Mechanistically, we find that PRMT1, through its enzymatic activity, limits the accumulation of small bZIP transcription factor MAFF in the nucleus, and the assembly of chromatin-bound MAFF/BACH1 hetero-oligomeric complexes following Gemcitabine treatment. Genetic silencing of MAFF heightened the resistance of PDAC cells to Gemcitabine, and to combination of Gemcitabine and PRMT1 inhibitors. Cut&Tag chromatin profiling of H3K27Ac, MAFF and BACH1 suggests a pivotal role for MAFF/BACH1 in orchestrating global epigenetic reprogramming during the course of acquiring Gemcitabine resistance. Supporting the clinical relevance of our findings, predicted PRMT1 and MAFF/BACH1 genes signatures based on our Cut&Tag analysis were able to distinguish Gemcitabine-resistant from Gemcitabine-sensitive PDAC patient-derived xenografts according to expression changes induced by Gemcitabine. Together, our study reveals a novel epigenetic regulatory axis involving PRMT1 and MAFF/BACH1 that modulates Gemcitabine response, which could be potentially exploited for improving therapeutic response in advanced PDAC.
Published in
PRMT1 promotes epigenetic reprogramming associated with acquired chemoresistance in pancreatic cancer
Nguyen CDK, Colón-Emeric BA, Murakami S et al. · Cell reports 2024 · PMID 38691454 · doi:10.1016/j.celrep.2024.114176
This dataset
Open GSE227129 in finder → Find more mouse 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 GSE227129_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 PRJNA943270 and SRA study SRP426667. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38691454) ↗
Study design
5 × H3K27Ac_D vs 5 × MAFF_D vs 5 × BACH1_D

Supports a between-group comparison across 15 samples.

How we read this: 3 replicated groups read from 29 sample titles; they account for 15 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

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