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Peer-reviewedCC BYQuantitative biology (Beijing, China)

miR2Meth: An R package for dissecting DNA methylation heterogeneity at microRNA promoters.

  • Ying Shan1
  • Xiaoshan Rong2
  • Andrew E Teschendorff3
  • Zhen Yang4
4 affiliations
  1. 1Department of Obstetrics and Gynecology Shanghai Pudong Hospital Fudan University Pudong Medical Center Shanghai China.
  2. 2Yangzhi Rehabilitation Hospital School of Medicine Tongji University Shanghai China.
  3. 3CAS Key Laboratory of Computational Biology Shanghai Institute of Nutrition and Health University of Chinese Academy of Sciences Chinese Academy of Sciences Shanghai China.
  4. 4Center for Medical Research and Innovation of Pudong Hospital, and Intelligent Medicine Institute Shanghai Medical College Fudan University Shanghai China.
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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).

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Cite

BibTeXRIS
BibTeX
@article{shan2026mir2meth,
  title = {{miR2Meth: An R package for dissecting DNA methylation heterogeneity at microRNA promoters.}},
  author = {Ying Shan and Xiaoshan Rong and Andrew E Teschendorff and Zhen Yang},
  journal = {Quantitative biology (Beijing, China)},
  year = {2026},
  month = oct,
  doi = {10.1002/qub2.70059},
  url = {https://europepmc.org/article/MED/42903533},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - miR2Meth: An R package for dissecting DNA methylation heterogeneity at microRNA promoters.
AU  - Ying Shan
AU  - Xiaoshan Rong
AU  - Andrew E Teschendorff
AU  - Zhen Yang
PY  - 2026
DA  - 2026/10/19
JO  - Quantitative biology (Beijing, China)
DO  - 10.1002/qub2.70059
UR  - https://europepmc.org/article/MED/42903533
AB  - 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).
SN  - 2095-4689
SN  - 2095-4697
ER  -