{
  "abstract": "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-to-use tool to investigate the relationships between miRNAs and DNAm in human diseases. miR2Meth is freely available at GitHub website (github.com/zyangx/miR2Meth).",
  "abstract_shown": true,
  "affiliations": [
    "Department of Obstetrics and Gynecology Shanghai Pudong Hospital Fudan University Pudong Medical Center Shanghai China.",
    "Yangzhi Rehabilitation Hospital School of Medicine Tongji University Shanghai China.",
    "CAS Key Laboratory of Computational Biology Shanghai Institute of Nutrition and Health University of Chinese Academy of Sciences Chinese Academy of Sciences Shanghai China.",
    "Center for Medical Research and Innovation of Pudong Hospital, and Intelligent Medicine Institute Shanghai Medical College Fudan University Shanghai China."
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Ying Shan"
    },
    {
      "affs": [
        1
      ],
      "name": "Xiaoshan Rong"
    },
    {
      "affs": [
        2
      ],
      "name": "Andrew E Teschendorff"
    },
    {
      "affs": [
        3
      ],
      "name": "Zhen Yang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/142np9ed81n35.bib",
  "cited_by": 0,
  "doi": "10.1002/qub2.70059",
  "fulltext_url": "https://europepmc.org/articles/PMC13681029",
  "id": "142np9ed81n35",
  "issns": [
    "2095-4689",
    "2095-4697"
  ],
  "landing_url": "https://europepmc.org/article/MED/42903533",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "1312|Epigenetics and DNA Methylation"
    ]
  ],
  "openalex": "W7223009410",
  "pdf_url": "https://europepmc.org/articles/PMC13681029?pdf=render",
  "pmcid": "PMC13681029",
  "pmid": "42903533",
  "published": "2026-10-19",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/142np9ed81n35.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:53Z",
      "native_id": "MED:42903533",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42903533"
    }
  ],
  "subjects": [
    {
      "field": "biochemistry",
      "origin": "openalex:1312|Epigenetics and DNA Methylation",
      "subfield": "molecular-biology"
    }
  ],
  "title": "miR2Meth: An R package for dissecting DNA methylation heterogeneity at microRNA promoters.",
  "title_text": "miR2Meth: An R package for dissecting DNA methylation heterogeneity at microRNA promoters.",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:19:53Z",
  "url": "https://research.draconitic.com/paper/142np9ed81n35",
  "venue": "Quantitative biology (Beijing, China)",
  "versions": []
}