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Muscle Gene Therapy

Overview of attention for book
Cover of 'Muscle Gene Therapy'

Table of Contents

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    Book Overview
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    Chapter 1 Design and Testing of Regulatory Cassettes for Optimal Activity in Skeletal and Cardiac Muscles
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    Chapter 2 Codon Optimization of the Microdystrophin Gene for Duchenne Muscular Dystrophy Gene Therapy
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    Chapter 3 Monitoring Duchenne Muscular Dystrophy Gene Therapy with Epitope-Specific Monoclonal Antibodies
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    Chapter 4 Methods for Noninvasive Monitoring of Muscle Fiber Survival with an AAV Vector Encoding the mSEAP Reporter Gene
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    Chapter 5 Monitoring Murine Skeletal Muscle Function for Muscle Gene Therapy
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    Chapter 6 Phenotyping Cardiac Gene Therapy in Mice
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    Chapter 7 Golden retriever muscular dystrophy (GRMD): Developing and maintaining a colony and physiological functional measurements.
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    Chapter 8 Directed Evolution of Adeno-Associated Virus (AAV) as Vector for Muscle Gene Therapy
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    Chapter 9 Systemic Gene Transfer to Skeletal Muscle Using Reengineered AAV Vectors
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    Chapter 10 Bioinformatic and Functional Optimization of Antisense Phosphorodiamidate Morpholino Oligomers (PMOs) for Therapeutic Modulation of RNA Splicing in Muscle
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    Chapter 11 Engineering Exon-Skipping Vectors Expressing U7 snRNA Constructs for Duchenne Muscular Dystrophy Gene Therapy
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    Chapter 12 Application of MicroRNA in Cardiac and Skeletal Muscle Disease Gene Therapy
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    Chapter 13 Molecular Imaging of RNA Interference Therapy Targeting PHD2 for Treatment of Myocardial Ischemia
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    Chapter 14 Lentiviral Vector Delivery of shRNA into Cultured Primary Myogenic Cells: A Tool for Therapeutic Target Validation
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    Chapter 15 Fetal Muscle Gene Therapy/Gene Delivery in Large Animals
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    Chapter 16 Electroporation of Plasmid DNA to Swine Muscle
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    Chapter 17 Local gene delivery and methods to control immune responses in muscles of normal and dystrophic dogs.
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    Chapter 18 Gene Transfer to Muscle from the Isolated Regional Circulation
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    Chapter 19 AAV-Mediated Gene Therapy to the Isolated Limb in Rhesus Macaques
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    Chapter 20 Antisense Oligo-Mediated Multiple Exon Skipping in a Dog Model of Duchenne Muscular Dystrophy
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    Chapter 21 Whole Body Skeletal Muscle Transduction in Neonatal Dogs with AAV-9
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    Chapter 22 A Translatable, Closed Recirculation System for AAV6 Vector-Mediated Myocardial Gene Delivery in the Large Animal
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    Chapter 23 Method of Gene Delivery in Large Animal Models of Cardiovascular Diseases
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    Chapter 24 Percutaneous Transendocardial Delivery of Self-Complementary Adeno-Associated Virus 6 in the Canine
Attention for Chapter 7: Golden retriever muscular dystrophy (GRMD): Developing and maintaining a colony and physiological functional measurements.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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Chapter title
Golden retriever muscular dystrophy (GRMD): Developing and maintaining a colony and physiological functional measurements.
Chapter number 7
Book title
Muscle Gene Therapy
Published in
Methods in molecular biology, December 2010
DOI 10.1007/978-1-61737-982-6_7
Pubmed ID
Book ISBNs
978-1-61737-981-9, 978-1-61737-982-6
Authors

Kornegay JN, Bogan JR, Bogan DJ, Childers MK, Grange RW, Kornegay, Joe N., Bogan, Janet R., Bogan, Daniel J., Childers, Martin K., Grange, Robert W., Joe N. Kornegay, Janet R. Bogan, Daniel J. Bogan, Martin K. Childers, Robert W. Grange

Abstract

Studies of canine models of Duchenne muscular dystrophy (DMD) provide insight regarding disease pathogenesis and treatment efficacy. To take maximal advantage, colonies of affected dogs must be maintained and outcome parameters developed. In this chapter, we review our 25 years of experience with the golden retriever muscular dystrophy (GRMD) model. Key challenges in colony development (breeding, neonatal death, and the risk of inbreeding) and representative functional measurements (tibiotarsal joint angle and torque force; and eccentric contraction decrement) are discussed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 29%
Student > Master 5 21%
Student > Bachelor 2 8%
Student > Ph. D. Student 2 8%
Lecturer 1 4%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 29%
Medicine and Dentistry 5 21%
Biochemistry, Genetics and Molecular Biology 4 17%
Nursing and Health Professions 1 4%
Veterinary Science and Veterinary Medicine 1 4%
Other 2 8%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 December 2019.
All research outputs
#2,077,854
of 22,774,233 outputs
Outputs from Methods in molecular biology
#339
of 13,091 outputs
Outputs of similar age
#12,151
of 180,592 outputs
Outputs of similar age from Methods in molecular biology
#7
of 226 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,091 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 180,592 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.