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Full Description
Transcriptomics in Atherosclerosis: Deciphering Molecular Signatures and Advancing Therapeutic Strategies explores how transcriptomic research is transforming our understanding and management of atherosclerosis. Bridging molecular biology and clinical medicine, it delves into the dynamic regulation of gene expression, the role of non-coding RNAs, and emerging insights from epitranscriptomics.
The book emphasizes advanced technologies such as single-cell and spatial transcriptomics, while embracing systems-level integration with other omic layers. It highlights how these approaches can reveal disease mechanisms, refine risk stratification, and guide the development of RNA-based diagnostics and therapies.
Designed for researchers, clinicians, and translational scientists, this volume moves beyond generic overviews to present current methods, practical insights, and real-world challenges in the field. By doing so, it lays the groundwork for a new generation of precision strategies in cardiovascular care.
Contents
Section I - Introduction
1. Atherosclerotic CVD - epidemiology and current challenges in management
2. Atherosclerotic Plaque Phenotypes: Unraveling Complexity and Heterogeneity
Section II - The role of RNAs in atherosclerosis progression and development
3. Biogenesis and mechanisms of action of ncRNAs
4. The role of ncRNA in plaque development and progression
5. Signaling Pathways Regulating Gene Expression in Atherosclerosis
6. Epitranscriptomics and Atherosclerosis:
Section III - Transcriptomic Profiling of Atherosclerotic Lesions
7. Essentials of Transcriptomic Methods: Navigating Through RNA Sequencing and Beyond
8. Bridging the Gap in Transcriptomics: From Animal to Human Studies in Atherosclerosis
9. Translating Transcriptomics into Clinical Practice: Utilizing Gene Expression Patterns for Advanced Patient Phenotyping and Stratification in Atherosclerosis Optimizing Study Design for In-depth Transcriptomic Analysis of Atherosclerotic Plaques
10. Unveiling Sex-Specific Transcriptomic Mechanisms in Atherosclerosis
Section IV - Integrating Multi-Omics Approaches in Atherosclerosis Research
11. Combining Transcriptomics with Genomics, Proteomics, and Metabolomics
12. Insights into Gene Regulatory Networks in Vascular Pathology
13. Systems Biology and Network Analysis
14. Use of artificial intelligence and machine learning for multi-omics
Section V - RNA-Based Theranostics: Revolutionizing Treatment and Diagnosis in Atherosclerotic Cardiovascular Disease
15. RNA Therapeutics in Atherosclerosis:
16. RNA Therapeutic Delivery Systems - advances and challenges
17. Exploring Circulating RNAs: Emerging Biomarkers for Atherosclerosis Detection and Monitoring
Section VI - Conclusion
18. Future Directions and Emerging Technologies in Transcriptomic Research and Atherosclerosis
