ArticleFunctional & integrative genomics2025
Integrated Nanopore and short-read RNA sequencing identifies dysregulation of METTL3- m6A modifications in endocrine therapy- sensitive and resistant breast cancer cells.
Article in Functional & integrative genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes.iMeta · 2026Review
- Dynamic modulation of N6-methyladenosine by ionizing radiation in human cells.Biochemistry and biophysics reports · 2026Article
- LncRNAs in Ovarian Cancer: Emerging Insights and Future Perspectives in Tumor Biology and Clinical Applications.Cancers · 2026Review
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11 authors.
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Abstract
The role of epitranscriptomic changes in the development of acquired endocrine therapy (ET)- resistance in estrogen receptor α (ER) expressing breast cancer (BC) is unknown. We tested the hypothesis that inhibition of METTL3, the methyltransferase responsible for the mRNA modification N-6 methyladenosine (m6A), alters m6A modifications and differentially regulates the abundance of mRNA transcripts in ET-sensitive MCF-7 versus resistant LCC9 ER + human BC cells. Differential m6A modifications were identified using direct mRNA sequencing (DRS) performed on five replicates for each cell line ± 1 µM STM2457, a selective METTL3 inhibitor, using Nanopore MinION long read RNA-seq. Parallel short read Illumina RNA-seq quantified differential transcript abundance in the same samples. Selected results were validated by RT-qPCR, m6A-RIP-qPCR, reporter assays, and western blot analysis. Statistical analysis combined m6Anet, a machine-learning algorithm designed to call m6A modified bases, with a generalized linear model following a binomial distribution analysis to identify significant differential m6A modification ratios (DMR). Distinct METTL3 dependent m6A modification patterns in LCC9 and MCF-7 cells were observed in differentially expressed genes (DEG) associated with ET-resistance, including EEF1A2, ACTB, FLNA, PDIA6, AMIGO2, TPT1, XBP1, and CITED4. Select results were validated in additional ET-resistant BC cell lines. m6A-RIP-RT-qPCR validated specific m6A sites. We examined the proximity of m6A sites to estrogen receptor α (ER α)-mRNA binding sites reported in MCF-7 cells. ACTB, PDIA6, and XBP1 demonstrated a short-range proximity, with m6A sites located within 100 bp of ERα binding sites, suggesting a role for m6A in influencing ERα-mRNA binding. Our work provides a framework for integrating DRS and DEG omics data. Our results suggest a role for dysregulation of m6A modifications in pathways implicated in ET resistance in BC.
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