GEO series
The methyltransferases METTL7A and METTL7B confer resistance of cancer cells to thiol-based histone deacetylate inhibitors (RNA-Seq)
GSE217127
Homo sapiens
Expression profiling by high throughput sequencing
12 samples
2025/05/13
GPL18573
Summary
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. 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.
Download
NCBI GEO page ↗
Paper (PMID 38151817) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples
- GSE330029 Temporal changes in metabolism guide oligodendrocyte precursor cell dynamics in aging and multiple sclerosis [BulkRNAseq] 108 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.