Unraveling the Epigenetic Blueprint: Exploring DNA Methylation and Its Integration with Omics in Health and Disease
A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Molecular Genetics and Genetic Diseases".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 56
Special Issue Editors
Interests: integrative omics; networks; metabolomics; epigenomics; exposomics; proteomics; microbiome; machine learning; causation; early-life exposures; lung diseases; complex and age-associated disease outcomes; translational therapeutics
Interests: multi-omics integration; mediation; biological networks; machine learning; microRNAs; metabolomics; epigenomics; transcriptomics
Special Issue Information
Dear Colleagues,
Epigenetic mechanisms are involved in development, inheritance, and disease. Over the last decade, the field of epigenetics research has grown tremendously, accelerating our understanding of human biology and its interaction with the environment. Several groundbreaking discoveries are continuing to grow in number and scope due to their appealing potential in gene regulation, editing, aging, and preventative interventions for complex diseases. We are now in an era of unprecedented omics data generation; therefore, a comprehensive view will enhance its interpretation as it relates to health, disease, and current medical practices, in addition to enhancing comprehension both on the side of researchers and clinicians. This Special Issue welcomes original research and methodical or review articles and aims to provide an opportunity to highlight studies involving and integrating epigenetics research, including, but not limited to, data generated through techniques such as ChIP-seq, ATAC-seq, whole-genome DNA methylation such as WGBS or RRBS, EPIC arrays, RNA sequencing, single-cell RNA-seq (scRNA-seq), single-cell epigenetics/epigenomics, metabolomics, proteomics, exposomics, therapeutics, aging, growth and developmental trajectories, multiomics, spatial transcriptomics/epigenomics, and techniques elucidating the role of micro-RNAs and non-coding RNAs in epigenetic modulation.
Dr. Priyadarshini Kachroo
Dr. Rinku Sharma
Guest Editors
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Keywords
- multiomics
- networks
- epigenomics
- machine learning
- causation
- early-life exposures
- aging
- translational therapeutics
- metabolomics
- epigenomics
- exposomics
- proteomics
- microbiome
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