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Published on: July 18, 2025
dbHiMo: a web-based epigenomics platform for histone-modifying enzymes.
Jaeyoung Choi1, Ki-Tae Kim2, Aram Huh1
1Department of Forest Sciences, University of Helsinki, 00014 Helsinki, Finland, Fungal Bioinformatics Laboratory, Seoul National University, Seoul 151-921, Korea, Department of Agricultural Biotechnology, College of Agriculture and Life Science, Seoul National University, Seoul 151-921, Korea, School of Biotechnology, Yeungnam University, Gyeongsan, Gyeongbuk 712-749, Korea, and Research Institute of Agriculture and Life Sciences, Center for Fungal Pathogenesis, Center for Fungal Genetic Resources, Plant Genomics and Breeding Institute, Seoul National University, Seoul 151-921, Korea.
A new database, dbHiMo, catalogs histone-modifying enzymes (HMEs) crucial for gene expression regulation. This resource aids functional and comparative genomics studies in epigenetics and evolution.
Area of Science:
- Molecular Biology
- Genomics
- Biochemistry
Background:
- Epigenetics is central to gene expression regulation.
- Histone modifications, like acetylation and methylation, are key epigenetic mechanisms.
- Histone-modifying enzymes (HMEs) play critical roles in these processes.
Purpose of the Study:
- To introduce dbHiMo, a comprehensive database for histone-modifying enzymes (HMEs).
- To facilitate functional, comparative, and evolutionary genomics analyses of HMEs.
- To provide a centralized resource for epigenetics and epigenomics research.
Main Methods:
- HMEs were identified using a profile hidden Markov model (HMM) search pipeline.
- The pipeline was applied to 603 proteomes across fungal, plant, and metazoan species.
- The database was populated with 11,576 identified HMEs.
Main Results:
- The dbHiMo database contains 11,576 HMEs from diverse species.
- It offers web-based tools for data browsing and personalized analysis.
- Supports comparative and evolutionary genomics of HMEs.
Conclusions:
- dbHiMo serves as a valuable resource for the epigenetics and epigenomics community.
- The database facilitates in-depth analysis and comparative studies of HMEs.
- It will advance future research in gene regulation and evolutionary biology.
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