Epigenetics in Cardiovascular Disease 1st Edition Yvan Devaux

Epigenetics in Cardiovascular Disease 1st Edition Yvan Devaux- Ebook Instant Download/Delivery ISBN(s): 9780128222584,0128222581,9780128222591, 012822259X

Product details:

• ISBN 10: 012822259X
• ISBN 13: 9780128222591
• Author: Yvan Devaux,Emma Louise Robinson

Table contents:

SECTION I INTRODUCTORY INFORMATION

1. The ever-growing burden of cardiovascular disease

2. Epigenetics concepts: An overview

3. From classical signaling pathways to the nucleus

SECTION II EPIGENETICS MECHANISMS IN CARDIOVASCULAR DISEASE

4. DNA methylation in heart failure

5. Histone modifications in cardiovascular disease initiation and progression

6. RNA modifications in cardiovascular disease—An experimental and computational perspective

7. Regulatory RNAs in cardiovascular disease

8. Regulation of splicing in cardiovascular disease

9. Cardiac transcriptomic remodeling in metabolic syndrome

10. Sex differences in epigenetics mechanisms of cardiovascular disease

11. Epigenetics in cardiac development and human induced pluripotent stem cells

SECTION III BIOMARKER VALUE

12. Peripheral blood DNA and RNA biomarkers of cardiovascular disease in clinical practice

13. Epigenetics and physical exercise

14. Long noncoding RNAs and circular RNAs as heart failure biomarkers

15. Artificial intelligence in clinical decision-making for diagnosis of cardiovascular disease using epigenetics mechanisms

SECTION IV THERAPEUTIC POTENTIAL

16. Therapeutic strategies for modulating epigenetic mechanisms in cardiovascular disease

SECTION V METHODOLOGICAL ISSUES

17. Single-cell RNA sequencing in cardiovascular science

18. Good laboratory and experimental practices for microRNA analysis in cardiovascular research

19. Analytical challenges in microRNA biomarker development: Best practices for analyzing microRNAs in cell-free biofluids

20. Concept of biological reference materials for RNA analysis in cardiovascular disease

21. Unbiased bioinformatics analysis of microRNA transcriptomics datasets and network theoretic target prediction

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