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Updated: Aug 20, 2025

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Published on: May 2, 2025
Accurate Identification of DNA Replication Origin by Fusing Epigenomics and Chromatin Interaction Information
Fu-Ying Dao1,2,3, Hao Lv1,4, Melissa J Fullwood2,3,5
1Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.
We developed iORI-Epi, a computational method to identify DNA replication origins (ORIs) using epigenomic, sequence, and 3D genome data. This approach accurately predicts ORIs and aids in understanding replication-related diseases.
Area of Science:
- Genomics
- Computational Biology
- Epigenetics
Background:
- DNA replication is crucial for cell division and genome stability.
- Dysregulation of DNA replication initiation is linked to various diseases.
- Identifying replication origins (ORIs) is key to understanding these processes.
Purpose of the Study:
- To develop a robust computational method for accurate ORI identification.
- To integrate diverse genomic and epigenomic features for enhanced prediction.
- To explore the regulatory mechanisms governing DNA replication initiation.
Main Methods:
- Designed iORI-Epi, a computational approach for ORI recognition.
- Incorporated epigenome-based, sequence-based, and 3D genome-based features.
- Validated the method on K562, MCF7, and HCT116 cell lines.
Main Results:
- iORI-Epi demonstrated excellent robustness and generalization on training and independent datasets.
- The method proved highly scalable across different human cell lines.
- Analysis clarified the regulatory roles of epigenomic marks, DNA motifs, and chromatin interactions.
Conclusions:
- iORI-Epi provides a powerful tool for ORI identification in eukaryotic genomes.
- The study offers insights into the interplay of genomic features in replication initiation.
- The methodology is extendable to ORI identification in other species and disease contexts.
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