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Cell-free nucleic acid fragmentomics: A non-invasive window into cellular epigenomes
Ahmad Salman Sirajee1, Debajyoti Kabiraj1, Subhajyoti De1
1Department of Pathology and Laboratory Medicine, Rutgers Cancer Institute, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA.
Translational Oncology
|August 23, 2024
Summary
Cell-free DNA (cfDNA) fragmentomics analyzes DNA structures for non-invasive diagnostics. This emerging field offers insights into tissue origins and epigenomes for early disease detection and patient monitoring.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Cell-free nucleic acids (cfNAs), particularly cell-free DNA (cfDNA), are increasingly used in non-invasive diagnostics.
- Genomic profiling of cfDNA aids in disease diagnosis and treatment monitoring, especially for cancers.
- Emerging research highlights the significance of cfDNA structural, topological, and fragmentation patterns (fragmentomics).
Purpose of the Study:
- To outline recent advancements in computational genomic methodologies and analysis strategies for cfNA fragmentomics.
- To discuss emerging insights derived from cfNA fragmentomics studies.
- To highlight current challenges and future opportunities in the field of cfNA fragmentomics.
Main Methods:
- Review of recent developments in computational genomic methodologies.
- Analysis of large-scale studies on health conditions and diseases using cfDNA fragmentomics.
- Examination of structural, topological, and fragmentation characteristics of cfDNAs.
Main Results:
- cfDNA fragmentomics reveals crucial information about tissue of origin and epigenomes.
- Rapid developments in computational and genomics methodologies are enabling large-scale studies.
- Clinical utilities of cfDNA fragmentomics show potential for early diagnosis, treatment outcome determination, and continuous patient monitoring.
Conclusions:
- cfNA fragmentomics is a rapidly developing field with significant potential for non-invasive diagnostics and patient monitoring.
- Advancements in computational and genomic methods are driving fundamental discoveries and translational applications.
- Addressing current challenges will unlock further opportunities for cfNA fragmentomics in clinical settings.
