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Updated: Jul 8, 2026

Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker
Published on: September 15, 2023
MeInfoText: associated gene methylation and cancer information from text mining
Yu-Ching Fang1, Hsuan-Cheng Huang, Hsueh-Fen Juan
1Institute of Molecular and Cellular Biology, National Taiwan University, Taipei 106, Taiwan. d94b43002@ntu.edu.tw
Background:
DNA methylation is an important epigenetic modification of the genome. Abnormal DNA methylation may result in silencing of tumor suppressor genes and is common in a variety of human cancer cells. As more epigenetics research is published electronically, it is desirable to extract relevant information from biological literature. To facilitate epigenetics research, we have developed a database called MeInfoText to provide gene methylation information from text mining.
Description:
MeInfoText presents comprehensive association information about gene methylation and cancer, the profile of gene methylation among human cancer types and the gene methylation profile of a specific cancer type, based on association mining from large amounts of literature. In addition, MeInfoText offers integrated protein-protein interaction and biological pathway information collected from the Internet. MeInfoText also provides pathway cluster information regarding to a set of genes which may contribute the development of cancer due to aberrant methylation. The extracted evidence with highlighted keywords and the gene names identified from each methylation-related abstract is also retrieved. The database is now available at http://mit.lifescience.ntu.edu.tw/.
Conclusion:
MeInfoText is a unique database that provides comprehensive gene methylation and cancer association information. It will complement existing DNA methylation information and will be useful in epigenetics research and the prevention of cancer.
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