During cell division and gene expression, the DNA double-helical structure unwinds, thereby generating torsional stress. DNA topoisomerases are enzymes that relieve this stress. During this process, topoisomerases form temporary covalent bonds with the phosphate backbone of DNA, generating DNA strand breaks and relieving torsional stress. Topoisomerases then dissociate from DNA after rejoining the DNA breaks. Torsional stress associated with replication or transcription is primarily relieved by topoisomerase I (TOP1) and II (TOP2). Some anticancer drugs targeting topoisomerases, known as topoisomerase poisons, trap the topoisomerase reaction intermediates and cause DNA strand breaks bearing topoisomerase–DNA–protein crosslinks (TOP–DPCs). TOP1 poisons, such as camptothecin, cause DNA single-strand breaks bearing TOP1–DPCs, which are converted to DNA double-strand breaks (DSBs) when they collide with DNA replication forks. In contrast, TOP2 poisons, such as etoposide, directly induce DSBs in TOP2–DPCs. However, to elicit a DSB response, TOP2–DPC must first be removed from the DSB ends. Cells possess various pathways to remove TOP2–DPC, and these pathways are thought to function in coordination depending on the situation. This review summarizes these sophisticated TOP2–DPC removal pathways and discusses the clinical applications of TOP2 poison as an anticancer drug, as well as the related challenges.
{"title":"Processing of DNA Topoisomerase II–DNA–Protein Crosslinks Associated With Anticancer Drugs","authors":"Ryo Sakasai, Kuniyoshi Iwabuchi","doi":"10.1111/gtc.70076","DOIUrl":"10.1111/gtc.70076","url":null,"abstract":"<p>During cell division and gene expression, the DNA double-helical structure unwinds, thereby generating torsional stress. DNA topoisomerases are enzymes that relieve this stress. During this process, topoisomerases form temporary covalent bonds with the phosphate backbone of DNA, generating DNA strand breaks and relieving torsional stress. Topoisomerases then dissociate from DNA after rejoining the DNA breaks. Torsional stress associated with replication or transcription is primarily relieved by topoisomerase I (TOP1) and II (TOP2). Some anticancer drugs targeting topoisomerases, known as topoisomerase poisons, trap the topoisomerase reaction intermediates and cause DNA strand breaks bearing topoisomerase–DNA–protein crosslinks (TOP–DPCs). TOP1 poisons, such as camptothecin, cause DNA single-strand breaks bearing TOP1–DPCs, which are converted to DNA double-strand breaks (DSBs) when they collide with DNA replication forks. In contrast, TOP2 poisons, such as etoposide, directly induce DSBs in TOP2–DPCs. However, to elicit a DSB response, TOP2–DPC must first be removed from the DSB ends. Cells possess various pathways to remove TOP2–DPC, and these pathways are thought to function in coordination depending on the situation. This review summarizes these sophisticated TOP2–DPC removal pathways and discusses the clinical applications of TOP2 poison as an anticancer drug, as well as the related challenges.</p>","PeriodicalId":12742,"journal":{"name":"Genes to Cells","volume":"31 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12711613/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145777181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MicroRNAs (miRNAs) play a crucial role in posttranscriptional gene regulation. The biogenesis of mature miRNAs requires precise cleavage of precursor miRNAs (pre-miRNAs) by Dicer. Several computational approaches have been developed to predict human Dicer cleavage sites; however, important limitations persist. Cleavage Pattern-based models, which rely on short pre-miRNA subsequences, can only identify positive patterns in which the cleavage site is centrally located. Conversely, models that do not rely on Cleavage Patterns generally exhibit suboptimal performance. These limitations highlight the need for a more accurate predictor that fully exploits sequence and structural information from pre-miRNAs. In this study, we propose DiCleavePlus, a Cleavage Pattern-based framework for predicting Dicer cleavage sites on pre-miRNAs. DiCleavePlus takes an extended Cleavage Pattern together with the full-length pre-miRNA sequence from which it is derived as input. A Transformer-based encoder is employed to extract features from both the pattern and the pre-miRNA. Benchmarking experiments demonstrate that DiCleavePlus achieves accurate and robust performance in predicting human Dicer cleavage sites.
{"title":"DiCleavePlus: A Transformer-Based Model to Detect Human Dicer Cleavage Sites Within Cleavage Patterns","authors":"Lixuan Mu, Tatsuya Akutsu","doi":"10.1111/gtc.70074","DOIUrl":"10.1111/gtc.70074","url":null,"abstract":"<p>MicroRNAs (miRNAs) play a crucial role in posttranscriptional gene regulation. The biogenesis of mature miRNAs requires precise cleavage of precursor miRNAs (pre-miRNAs) by Dicer. Several computational approaches have been developed to predict human Dicer cleavage sites; however, important limitations persist. Cleavage Pattern-based models, which rely on short pre-miRNA subsequences, can only identify positive patterns in which the cleavage site is centrally located. Conversely, models that do not rely on Cleavage Patterns generally exhibit suboptimal performance. These limitations highlight the need for a more accurate predictor that fully exploits sequence and structural information from pre-miRNAs. In this study, we propose DiCleavePlus, a Cleavage Pattern-based framework for predicting Dicer cleavage sites on pre-miRNAs. DiCleavePlus takes an extended Cleavage Pattern together with the full-length pre-miRNA sequence from which it is derived as input. A Transformer-based encoder is employed to extract features from both the pattern and the pre-miRNA. Benchmarking experiments demonstrate that DiCleavePlus achieves accurate and robust performance in predicting human Dicer cleavage sites.</p>","PeriodicalId":12742,"journal":{"name":"Genes to Cells","volume":"31 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12703071/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145759325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}