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Duchenne Muscular Dystrophy

Overview of attention for book
Cover of 'Duchenne Muscular Dystrophy'

Table of Contents

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    Book Overview
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    Chapter 1 An Overview of Recent Therapeutics Advances for Duchenne Muscular Dystrophy
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    Chapter 2 Clinical Manifestations and Overall Management Strategies for Duchenne Muscular Dystrophy
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    Chapter 3 Cardiac Involvement in Duchenne Muscular Dystrophy and Related Dystrophinopathies
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    Chapter 4 Characterization of the Inflammatory Response in Dystrophic Muscle Using Flow Cytometry
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    Chapter 5 Imaging Analysis of the Neuromuscular Junction in Dystrophic Muscle
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    Chapter 6 System Biology Approach: Gene Network Analysis for Muscular Dystrophy
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    Chapter 7 Proteomic Profiling of the Dystrophin-Deficient Brain
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    Chapter 8 Probing the Pathogenesis of Duchenne Muscular Dystrophy Using Mouse Models
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    Chapter 9 Exon Skipping Therapy Using Phosphorodiamidate Morpholino Oligomers in the mdx52 Mouse Model of Duchenne Muscular Dystrophy
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    Chapter 10 Designing Effective Antisense Oligonucleotides for Exon Skipping
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    Chapter 11 Identification of Splicing Factors Involved in DMD Exon Skipping Events Using an In Vitro RNA Binding Assay
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    Chapter 12 The Use of Antisense Oligonucleotides for the Treatment of Duchenne Muscular Dystrophy
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    Chapter 13 PMO Delivery System Using Bubble Liposomes and Ultrasound Exposure for Duchenne Muscular Dystrophy Treatment
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    Chapter 14 Proton Nuclear Magnetic Resonance (1H NMR) Spectroscopy-Based Analysis of Lipid Components in Serum/Plasma of Patients with Duchenne Muscular Dystrophy (DMD)
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    Chapter 15 Test of Antifibrotic Drugs in a Cellular Model of Fibrosis Based on Muscle-Derived Fibroblasts from Duchenne Muscular Dystrophy Patients
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    Chapter 16 Flow Cytometry-Defined CD49d Expression in Circulating T-Lymphocytes Is a Biomarker for Disease Progression in Duchenne Muscular Dystrophy
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    Chapter 17 Advanced Methods to Study the Cross Talk Between Fibro-Adipogenic Progenitors and Muscle Stem Cells
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    Chapter 18 AAV6 Vector Production and Purification for Muscle Gene Therapy
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    Chapter 19 From gRNA Identification to the Restoration of Dystrophin Expression: A Dystrophin Gene Correction Strategy for Duchenne Muscular Dystrophy Mutations Using the CRISPR-Induced Deletion Method
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    Chapter 20 Erratum to: Functional Analysis of Membrane Proteins Produced by Cell-Free Translation
Attention for Chapter 16: Flow Cytometry-Defined CD49d Expression in Circulating T-Lymphocytes Is a Biomarker for Disease Progression in Duchenne Muscular Dystrophy
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Chapter title
Flow Cytometry-Defined CD49d Expression in Circulating T-Lymphocytes Is a Biomarker for Disease Progression in Duchenne Muscular Dystrophy
Chapter number 16
Book title
Duchenne Muscular Dystrophy
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7374-3_16
Pubmed ID
Book ISBNs
978-1-4939-7373-6, 978-1-4939-7374-3
Authors

Wilson Savino, Fernanda Pinto-Mariz, Vincent Mouly, Savino, Wilson, Pinto-Mariz, Fernanda, Mouly, Vincent

Abstract

Duchenne muscular dystrophy (DMD) affects 1:3500-1:5000 male births, and is caused by X-linked mutations in the dystrophin gene, manifested by progressive muscle weakness and wasting due to the absence of dystrophin protein, leading to degeneration of skeletal muscle. DMD patients are clinically heterogeneous and the functional phenotype often cannot be correlated with the genotype. Therefore, defined reliable noninvasive biomarkers aiming at predicting if a given DMD child will progress more or less rapidly will be instrumental to better design inclusion of defined patients for future therapeutic assays. We recently showed that CD49d expression levels in blood-derived T-cell subsets can predict disease progression in DMD patients. Herein we describe in detail the methodology to be applied for defining, through four-color flow cytometry, the membrane expression levels of the CD49d (the α4 chain of the integrins α4β1 and α4β7) in circulating CD4(+) and CD8(+) T cell subsets. Since we have also shown that this molecule can also be placed as a potential target for therapeutics in DMD, we also describe the cell migration functional assay that can be applied to test potential CD49d inhibitors that can modulate their ability to cross endothelial or extracellular matrix (ECM) barriers.

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The data shown below were collected from the profiles of 3 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Unspecified 1 11%
Student > Bachelor 1 11%
Student > Ph. D. Student 1 11%
Unknown 4 44%
Readers by discipline Count As %
Unspecified 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Immunology and Microbiology 1 11%
Social Sciences 1 11%
Medicine and Dentistry 1 11%
Other 0 0%
Unknown 4 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 November 2020.
All research outputs
#5,818,732
of 23,267,128 outputs
Outputs from Methods in molecular biology
#1,622
of 13,320 outputs
Outputs of similar age
#114,462
of 443,685 outputs
Outputs of similar age from Methods in molecular biology
#145
of 1,502 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,320 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 87% 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 443,685 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 1,502 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 90% of its contemporaries.