Molecular Advances and Insights in Cancer Genomics
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Oncology".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 461
Special Issue Editors
Interests: non-equilibrium dynamics; single-cell early embryo development; critical gene ensemble; cell fate
Interests: data analysis; complex systems; systems biology; statistical mechanics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cancer genomics has revolutionized tumor biology, offering new perspectives on the nature and onset of this complex pathology. Recent breakthroughs in chromatin architecture—the dynamic DNA-protein complex regulating gene expression—offer deep insights into cancer development and progression. This special topic, “Molecular Advances and Insights in Cancer Genomics”, explores these advancements and their impact on improving cancer outcomes.
High-throughput technologies like next-generation sequencing and single-cell genomics reveal genetic and epigenetic alterations driving tumor heterogeneity and clonal evolution. Integrating multi-omics—genomics, transcriptomics, proteomics, and epigenomics—provides a comprehensive molecular landscape of cancer, identifying actionable biomarkers for early detection, prognosis, and personalized treatments.
From a broader perspective, considering the genome as a dynamic system endowed with both criticality and computational capabilities provides a fundamentally new framework for understanding biological systems. This framework, grounded in complex systems biology, enhances our understanding of gene regulation and cellular responses, addressing challenges like tumor heterogeneity and resistance. Chromatin-focused techniques, such as Hi-C and single-cell CRISPR screens, combined with genome computing principles, provide vital insights into genome organization and accessibility. These advancements pave the way for more effective therapies and improved patient outcomes while simultaneously laying the foundation for a new discipline in biological statistical mechanics.
Dr. Masa Tsuchiya
Prof. Dr. Alessandro Giuliani
Prof. Dr. Kenichi Yoshikawa
Guest Editors
Manuscript Submission Information
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Keywords
- biochemistry
- biophysics
- cancer genomics
- cell biology
- complex networks
- complex systems
- data science
- development and differentiation
- epigenomics
- genome computing
- higher-order structure of chromatin
- multi-omics integration
- next-generation sequencing
- proteomics
- single-cell CRISPR screens
- single-cell genomics
- transcriptomics
- tumor biology
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