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Genome Editing in Cardiovascular and Metabolic Diseases

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Cover of 'Genome Editing in Cardiovascular and Metabolic Diseases'

Table of Contents

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    Book Overview
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    Chapter 1 An Overview of Genome Editing in Cardiovascular and Metabolic Diseases
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    Chapter 2 Online Databases of Genome Editing in Cardiovascular and Metabolic Diseases
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    Chapter 3 Genome Editing and Cardiac Regeneration
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    Chapter 4 Genome Editing and Myocardial Development
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    Chapter 5 Genome Editing and Heart Failure
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    Chapter 6 Genome Editing and Pathological Cardiac Hypertrophy
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    Chapter 7 Genome Editing and Diabetic Cardiomyopathy
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    Chapter 8 Genome Editing and Inherited Cardiac Arrhythmias
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    Chapter 9 Genome Editing and Atrial Fibrillation
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    Chapter 10 Genome Editing in Dyslipidemia and Atherosclerosis
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    Chapter 11 Genome Editing to Abrogate Muscle Atrophy
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    Chapter 12 Genome Editing and Obesity
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    Chapter 13 Genome Editing and Fatty Liver
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    Chapter 14 Genomic Editing and Diabetes
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    Chapter 15 Genome Editing and Protein Energy Malnutrition
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    Chapter 16 Gene Therapy and Cardiovascular Diseases
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    Chapter 17 Therapeutics in Metabolic Diseases
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    Chapter 18 Gene Editing and Human iPSCs in Cardiovascular and Metabolic Diseases
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    Chapter 19 Prospective Advances in Genome Editing Investigation
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    Chapter 20 Enabling Precision Medicine with CRISPR-Cas Genome Editing Technology: A Translational Perspective
Attention for Chapter 18: Gene Editing and Human iPSCs in Cardiovascular and Metabolic Diseases
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Chapter title
Gene Editing and Human iPSCs in Cardiovascular and Metabolic Diseases
Chapter number 18
Book title
Genome Editing in Cardiovascular and Metabolic Diseases
Published by
Springer, Singapore, January 2023
DOI 10.1007/978-981-19-5642-3_18
Pubmed ID
Book ISBNs
978-9-81-195641-6, 978-9-81-195642-3
Authors

Giallongo, Sebastiano, Lo Re, Oriana, Resnick, Igor, Raffaele, Marco, Vinciguerra, Manlio

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The data shown below were collected from the profiles of 6 X users 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 29%
Student > Ph. D. Student 1 14%
Unknown 4 57%
Readers by discipline Count As %
Medicine and Dentistry 2 29%
Biochemistry, Genetics and Molecular Biology 1 14%
Unknown 4 57%