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The methyltransferases METTL7A and METTL7B confer resistance of cancer cells to thiol-based histone deacetylate inhibitors (Mnase-Seq)

GSE217129 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 2 samples Submitted 2025/05/13 Platform GPL30173
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 2 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
2 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
The Methyltransferases METTL7A and METTL7B Confer Resistance to Thiol-Based Histone Deacetylase InhibitorsMolecular cancer therapeutics · 2024
Summary (written by the submitters)
Histone deacetylase inhibitors (HDI) are among the growing class of epigenetic therapies used for the treatment of cancer. Although histone deacetylase inhibitors (HDIs) are effective in the treatment of T-cell lymphomas, solid tumors are largely resistant, and few mechanisms of resistance have been described. Overexpression of the multi-drug resistance gene ABCB1 that encodes P-glycoprotein (P-gp) is known to confer resistance to the HDI romidepsin, yet it is not associated with resistance in patients, suggesting other mechanisms of resistance arise in patients.
Read the full summary ↓
To identify alternative romidepsin resistance mechanisms, we selected MCF-7 breast cancer cells with romidepsin in the presence of verapamil to reduce the chance of P-gp over-expression developing as a resistance mechanism. The resulting subline, MCF-7 DpVp300, does not express P-gp and was found to be selectively resistant to romidpesin but not other HDIs such as belinostat, panobinostat, or vorinostat. RNA sequencing analysis demonstrated upregulation of the putative methyltransferase, METTL7A, a paralog of which, METTL7B, was found to methylate thiol groups on hydrogen sulfide and captopril. We hypothesized that METTL7A could methylate and inactivate romidepsin as well as other HDIs with a thiol as the zinc binding group. Here we show that expression of METTL7A is necessary for thiol-based HDI resistance in the MCF-7 DpVp300 cell line, and that expression of METTL7A or METTL7B in sensitive cells confers resistance to thiol based HDIs. We thus propose that METTL7A and METTL7B confer resistance to thiol-based HDIs by methylating and inactivating the zinc-binding thiol.
Published in
The Methyltransferases METTL7A and METTL7B Confer Resistance to Thiol-Based Histone Deacetylase Inhibitors
Robey RW, Fitzsimmons CM, Guiblet WM et al. · Molecular cancer therapeutics 2024 · PMID 38151817 · doi:10.1158/1535-7163.MCT-23-0144
This dataset
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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 GSE217129_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 PRJNA896983 and SRA study SRP405940. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38151817) ↗
Samples in this study

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