Topic: Epigenetic Regulatory Networks: Mechanistic Insights and Multi-omics Integration

Epigenetic regulatory networks play a central role in orchestrating gene expression without altering the underlying DNA sequence. Through dynamic and reversible modifications of DNA and histones, chromatin remodeling, non-coding RNA and etc, these networks govern cellular identity, development, and responses to environmental cues. Disruptions in epigenetic regulation have been increasingly implicated in a wide range of human diseases, including cancer, metabolic disorders, and neurological conditions.

Recent advances in high-throughput sequencing and multi-omics technologies have greatly enhanced our ability to dissect epigenetic mechanisms at unprecedented resolution. Integrative approaches combining genomics, epigenomics, transcriptomics, and other omics layers are enabling a shift from single-dimensional studies to systems-level analyses of complex regulatory networks. In parallel, emerging computational methods and data-driven models are accelerating the identification of key regulatory circuits and potential therapeutic targets.

This Special Issue, “Epigenetic Regulatory Networks: Mechanistic Insights and Multi-omics Integration,” aims to provide a comprehensive platform for high-quality research and timely reviews in this rapidly evolving field. Topics of interest include, but are not limited to:

● DNA methylation, histone modifications, and chromatin remodeling;

● Non-coding RNAs in epigenetic regulation;

● Epigenetic regulation of gene expression and cell fate determination;

● Single-cell and spatial epigenomics;

● Multi-omics integration and systems-level analysis;

● Epigenetic mechanisms in human diseases;

● Epigenetic biomarkers and therapeutic strategies.

By bringing together interdisciplinary perspectives, this Special Issue seeks to advance our understanding of epigenetic complexity and promote its translation into precision medicine.

Epigenetic regulatory networks,DNA methylation, multi-omics integration, single-cell,spatial epigenomics