{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T07:38:55Z","timestamp":1792481935651,"version":"4.5.0"},"reference-count":10,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T00:00:00Z","timestamp":1792368000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T00:00:00Z","timestamp":1792368000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Quant. Biol."],"published-print":{"date-parts":[[2026,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Aberrant expression of microRNAs (miRNAs) has been found in prevalent cancer types, yet the underlying mechanisms remain largely unexplored due to a lack of analytical tools. Studies have shown that DNA methylation (DNAm) plays a significant role in regulating miRNA expression. Here, we present miR2Meth, an R package to construct DNAm profiles for miRNAs by mapping the probes from the Illumina methylation BeadArray platforms to miRNA promoters. By integrating miRNA expression data, researchers are able to identify aberrant miRNAs associated with promoter methylation dysregulation. This software provides an easy\u2010to\u2010use tool to investigate the relationships between miRNAs and DNAm in human diseases. miR2Meth is freely available at GitHub website (github.com\/zyangx\/miR2Meth).<\/jats:p>","DOI":"10.1002\/qub2.70059","type":"journal-article","created":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T06:51:46Z","timestamp":1792479106000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["miR2Meth: An R package for dissecting DNA methylation heterogeneity at microRNA promoters"],"prefix":"10.1002","volume":"14","author":[{"given":"Ying","family":"Shan","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynecology Shanghai Pudong Hospital Fudan University Pudong Medical Center  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoshan","family":"Rong","sequence":"additional","affiliation":[{"name":"Yangzhi Rehabilitation Hospital School of Medicine Tongji University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew E.","family":"Teschendorff","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Computational Biology Shanghai Institute of Nutrition and Health University of Chinese Academy of Sciences Chinese Academy of Sciences  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Yang","sequence":"additional","affiliation":[{"name":"Center for Medical Research and Innovation of Pudong Hospital, and Intelligent Medicine Institute Shanghai Medical College Fudan University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,19]]},"reference":[{"issue":"2","key":"e_1_2_10_2_1","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/S0092-8674(04)00045-5","article-title":"MicroRNAs: genomics, biogenesis, mechanism, and 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Genom"},{"issue":"1","key":"e_1_2_10_6_1","doi-asserted-by":"crossref","first-page":"D155","DOI":"10.1093\/nar\/gky1141","article-title":"miRBase: from microRNA sequences to function","volume":"47","author":"Kozomara A","year":"2019","journal-title":"Nucleic Acids Res"},{"issue":"2","key":"e_1_2_10_7_1","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1093\/bioinformatics\/bts680","article-title":"A beta\u2010mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450\u00a0k DNA methylation data","volume":"29","author":"Teschendorff AE","year":"2013","journal-title":"Bioinformatics"},{"issue":"9","key":"e_1_2_10_8_1","doi-asserted-by":"crossref","first-page":"872","DOI":"10.1038\/nbt.3947","article-title":"An integrated expression atlas of miRNAs and their promoters in human and mouse","volume":"35","author":"Rie D","year":"2017","journal-title":"Nat Biotechnol"},{"issue":"16","key":"e_1_2_10_9_1","doi-asserted-by":"crossref","first-page":"2517","DOI":"10.1093\/bioinformatics\/btw180","article-title":"methyLiftover: cross\u2010platform DNA methylation data integration","volume":"32","author":"Titus AJ","year":"2016","journal-title":"Bioinformatics"},{"issue":"1","key":"e_1_2_10_10_1","doi-asserted-by":"crossref","first-page":"824","DOI":"10.1038\/s42003-024-06488-9","article-title":"Integrative analysis of genomic and epigenomic regulation reveals miRNA mediated tumor heterogeneity and immune evasion in lower grade glioma","volume":"7","author":"Yang Z","year":"2024","journal-title":"Commun Biol"},{"issue":"8","key":"e_1_2_10_11_1","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1003118","article-title":"Software for computing and annotating genomic ranges","volume":"9","author":"Lawrence M","year":"2013","journal-title":"PLoS Comput Biol"}],"container-title":["Quantitative 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