Handbook of the Biology of Aging 9th Edition – Ebook Instant Download/Delivery ISBN(s): 9780128159620,0128159626,9780128162835, 012816283X
Product details:
- ISBN-10: 012816283X
- ISBN-13: 9780128162835
- Author: Nicolas Musi
Handbook of the Biology of Aging, Ninth Edition, provides a comprehensive synthesis and review of the latest and most important advances and themes in modern biogerontology. The book focuses on the trend of ‘big data’ approaches in the biological sciences, presenting new strategies to analyze, interpret and understand the enormous amounts of information being generated through DNA sequencing, transcriptomic, proteomic, and metabolomics methodologies applied to aging related problems. Sections cover longevity pathways and interventions that modulate aging, innovative tools that facilitate systems-level approaches to aging research, the mTOR pathway and its importance in age-related phenotypes, and much more.
Table contents:
Chapter 1. Longevity as a complex genetic trait
Chapter 2. DNA damage and repair in aging
Chapter 3. Mechanisms of cell senescence in aging
Chapter 4. The nature of aging and the geroscience hypothesis
Chapter 5. Sirtuins, healthspan, and longevity in mammals
Chapter 6. Integrative genomics of aging
Chapter 7. Thermogenesis and aging
Chapter 8. Yeast as a model organism for aging research
Chapter 9. Model organisms (invertebrates)
Chapter 10. NIA Interventions Testing Program: A collaborative approach for investigating interventions to promote healthy aging
Chapter 11. Aging in nonhuman primates
Chapter 12. Senotherapeutics: Experimental therapy of cellular senescence
Chapter 13. The role of neurosensory systems in the modulation of aging
Chapter 14. Aging of the sensory systems: hearing and vision disorders
Chapter 15. Cardiac aging
Chapter 16. The aging immune system: Dysregulation, compensatory mechanisms, and prospects for intervention
Chapter 17. Microbiome changes in aging
Chapter 18. Lipidomics of aging
Chapter 19. Trends in morbidity, healthy life expectancy, and the compression of morbidity
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