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Skeletal Muscle Development

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Cover of 'Skeletal Muscle Development'

Table of Contents

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    Book Overview
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    Chapter 1 Bisulfite Sequencing for DNA Methylation Analysis of Primary Muscle Stem Cells
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    Chapter 2 Whole Genome Chromatin IP-Sequencing (ChIP-Seq) in Skeletal Muscle Cells
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    Chapter 3 Analysis of RNA Expression in Adult Zebrafish Skeletal Muscle
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    Chapter 4 Targeted Lipidomic Analysis of Myoblasts by GC-MS and LC-MS/MS
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    Chapter 5 Measuring Mitochondrial Substrate Utilization in Skeletal Muscle Stem Cells
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    Chapter 6 Microcontact-Printed Hydrogel Microwell Arrays for Clonal Muscle Stem Cell Cultures
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    Chapter 7 Isolation, Culture, and Differentiation of Fibro/Adipogenic Progenitors (FAPs) from Skeletal Muscle
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    Chapter 8 Human Satellite Cell Isolation and Xenotransplantation
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    Chapter 9 Application of Split-GFP Reassembly Assay to Study Myogenesis and Myofusion In Vitro
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    Chapter 10 Myogenic Maturation by Optical-Training in Cultured Skeletal Muscle Cells
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    Chapter 11 Fabrication of Micromolded Gelatin Hydrogels for Long-Term Culture of Aligned Skeletal Myotubes
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    Chapter 12 Quantification of Embryonic Myofiber Development by Immunofluorescence
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    Chapter 13 How to Wire the Diaphragm: Wholemount Staining Methods to Analyze Mammalian Respiratory Innervation
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    Chapter 14 Membrane Repair Assay for Human Skeletal Muscle Cells
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    Chapter 15 Cryoinjury Model for Tissue Injury and Repair in Bioengineered Human Striated Muscle
Attention for Chapter 13: How to Wire the Diaphragm: Wholemount Staining Methods to Analyze Mammalian Respiratory Innervation
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Chapter title
How to Wire the Diaphragm: Wholemount Staining Methods to Analyze Mammalian Respiratory Innervation
Chapter number 13
Book title
Skeletal Muscle Development
Published in
Methods in molecular biology, August 2017
DOI 10.1007/978-1-4939-7283-8_13
Pubmed ID
Book ISBNs
978-1-4939-7282-1, 978-1-4939-7283-8
Authors

Maximilian Michael Saller, Paolo Alberton, Andrea B. Huber, Rosa-Eva Huettl

Abstract

Direct or indirect impairment of breathing in humans by diseases or environmental factors can either cause long-term disability and pain, or can ultimately result in death. Automatic respiratory centers in the brainstem control the highly structured process of breathing and signal to a specialized group of motor neurons in the cervical spinal cord that constitute the phrenic nerves. In mammals, the thoracic diaphragm separates the thorax from the abdomen and adopts the function of the primary respiratory musculature. Faithful innervation by the phrenic nerves is a prerequisite for correct functionality of this highly specialized musculature and thus, ultimately, the viability of the entire organism.To analyze the effects of diseases and genetic defects responsible for deleterious or lethal respiratory phenotypes, accurate imaging of respiratory innervation during embryonic development, e.g., in genetically modified mouse models enables the characterization of specific marker genes and pathways that underlie appropriate wiring of the diaphragm. Among the different available immunostaining techniques, wholemount staining methods provide the advantage of clear and faithful three-dimensional information about the location of the antigens of interest. In comparison to routine histological techniques, however, the researcher has to deal with technical challenges, such as antibody penetration, the stability and availability of the antigen, and clearing of the relevant tissue, and the need to be equipped with state-of-the-art microscope equipment.In this methodological chapter, we explain and share our expertise concerning wholemount processing of mouse embryos and thoracic diaphragms for the analysis of mammalian respiratory innervation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Professor 1 17%
Student > Ph. D. Student 1 17%
Researcher 1 17%
Student > Doctoral Student 1 17%
Other 0 0%
Unknown 1 17%
Readers by discipline Count As %
Neuroscience 2 33%
Unspecified 1 17%
Medicine and Dentistry 1 17%
Unknown 2 33%