Search PubMedSearch

PubMed · 42706250

Suppression of transcription-replication conflicts by sequence-coordinated actions of TRDMT1 and MutLα.

Abstract

TRDMT1 is an RNA methyltransferase that catalyzes 5-methylcytosine (m5C) formation in R-loops to promote transcription-coupled homologous recombination (TC-HR). Although TRDMT1 inhibition selectively kills BRCA1-deficient cancer cells, broader cancer dependencies on TRDMT1 remain unclear. Here, a TRDMT1 inhibitor (TRDMT1i) sensitivity screen across a large panel of cancer cell lines identifies loss of MLH1 or PMS2, two components of the MutLα mismatch repair (MMR) complex frequently inactivated in tumors, as key determinants of TRDMT1 dependency. In contrast, MutLβ and MutSα/β are dispensable for TRDMT1i resistance, revealing a unique MMR-independent function of MutLα. Mechanistically, TRDMT1 and MutLα independently recognize DNA-RNA hybrids and cooperatively suppress co-transcriptional R-loops genome-wide in undamaged cells, with m5C directing pathway choice. Furthermore, MutLα suppresses R-loops through its ATPase and endonuclease activities and through recruitment of EXO1. Combined loss of TRDMT1 and MLH1 causes extensive R-loop accumulation and transcription replication conflicts (TRCs), impairing replication fork progression, inducing DNA damage, and driving apoptosis-mediated synthetic lethality. Importantly, TRDMT1i suppresses growth of MLH1-deficient tumors by inducing TRCs in vivo, suggesting a potential therapeutic strategy for targeting MutLα-deficient tumors. These studies not only expand our understanding of cancer dependency on TRDMT1, but also identify a promising strategy to exploit TRCs in cancer therapy.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Arijit Ghosh, Xiaojuan Ran, Fengqi Zhang, Boya Gao, Yu Xu, Lai-Yee Phoon, Melissa Long, Mingchao Wang, Varsha Ananthapadmanabhan, Ajinkya Kawale, Yug Shah, Brenda Manzano-Winkler, Christopher J Ott, Lee Zou, Li Lan. 2026-08-10. Suppression of transcription-replication conflicts by sequence-coordinated actions of TRDMT1 and MutLα.. https://doi.org/10.1038/s41467-026-76137-8

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans