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Models, Molecules and Mechanisms in Biogerontology

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Cover of 'Models, Molecules and Mechanisms in Biogerontology'

Table of Contents

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    Book Overview
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    Chapter 1 Protein Structure and Function in Aging and Age-Related Diseases
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    Chapter 2 DNA, DNA Replication, and Aging
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    Chapter 3 Transcription and Aging
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    Chapter 4 Ribosome, Protein Synthesis, and Aging
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    Chapter 5 p53 and Aging
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    Chapter 6 Pa ired Bo x (Pax) Transcription Factors and Aging
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    Chapter 7 Telomeres, Telomerase, and Aging
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    Chapter 8 The Epigenome of Aging
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    Chapter 9 Attaining Epigenetic Rejuvenation: Challenges Ahead
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    Chapter 10 Mitochondria as a Key Player in Aging
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    Chapter 11 Aging, Free Radicals, and Reactive Oxygen Species: An Evolving Concept
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    Chapter 12 Stem Cells and Aging
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    Chapter 13 Can Autophagy Stop the Clock: Unravelling the Mystery in Dictyostelium discoideum
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    Chapter 14 Aging: Reading, Reasoning, and Resolving Using Drosophila as a Model System
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    Chapter 15 Nothobranchius furzeri as a New Model System for Ageing Studies
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    Chapter 16 Aging in Muscle
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    Chapter 17 Metabolic Diseases and Aging
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    Chapter 18 Interplay Between Nutrient-Sensing Molecules During Aging and Longevity
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    Chapter 19 Protein Aggregation, Related Pathologies, and Aging
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    Chapter 20 Biological Rhythms and Aging
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    Chapter 21 The Biology of Aging and Cancer: A Complex Association
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Citations

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Title
Models, Molecules and Mechanisms in Biogerontology
Published by
Springer Singapore, December 2019
DOI 10.1007/978-981-32-9005-1
ISBNs
978-9-81-329004-4, 978-9-81-329005-1
Editors

Rath, Pramod C.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Professor 2 14%
Lecturer 1 7%
Other 1 7%
Student > Bachelor 1 7%
Other 0 0%
Unknown 5 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 29%
Medicine and Dentistry 2 14%
Business, Management and Accounting 1 7%
Nursing and Health Professions 1 7%
Neuroscience 1 7%
Other 0 0%
Unknown 5 36%