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Autophagy in Differentiation and Tissue Maintenance

Overview of attention for book
Cover of 'Autophagy in Differentiation and Tissue Maintenance'

Table of Contents

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    Book Overview
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    Chapter 64 Skeletal Muscle Lysosomal Function via Cathepsin Activity Measurement
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    Chapter 65 Autophagy in Adipocyte Differentiation
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    Chapter 66 Determination of Autophagy in the Caco-2 Spontaneously Differentiating Model of Intestinal Epithelial Cells
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    Chapter 67 The Detection Techniques for Autophagy-Associated Cell Death-Related Genes and Proteins: Gene Expression Assay and Immunohistochemistry
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    Chapter 83 Cloning of Autophagy-Related MicroRNAs
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    Chapter 84 Simultaneous Detection of Autophagy and Epithelial to Mesenchymal Transition in the Non-small Cell Lung Cancer Cells
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    Chapter 122 Methods for Monitoring Autophagy in Silkworm Organs
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    Chapter 123 Assessing Autophagy in the Leydig Cells
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    Chapter 124 Immunofluorescence Staining Protocols for Major Autophagy Proteins Including LC3, P62, and ULK1 in Mammalian Cells in Response to Normoxia and Hypoxia.
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    Chapter 125 Identification of Novel Autophagy Inhibitors via Cell-Based High-Content Screening
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    Chapter 157 Assays to Monitor Aggrephagy in Drosophila Brain
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    Chapter 158 Porcine Cell-Free System to Study Mammalian Sperm Mitophagy
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    Chapter 159 Monitoring and Measuring Mammalian Autophagy
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    Chapter 160 Autophagy in Zebrafish Extraocular Muscle Regeneration
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    Chapter 166 Induction and Detection of Autophagy in Aged Hematopoietic Stem Cells by Exposing Them to Microvesicles Secreted by HSC-Supportive Mesenchymal Stromal Cells
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    Chapter 167 Mitochondrial Redox Sensor for Drosophila Female Germline Stem Cells
  18. Altmetric Badge
    Chapter 168 Visualization and Measurement of Multiple Components of the Autophagy Flux
Attention for Chapter 160: Autophagy in Zebrafish Extraocular Muscle Regeneration
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Chapter title
Autophagy in Zebrafish Extraocular Muscle Regeneration
Chapter number 160
Book title
Autophagy in Differentiation and Tissue Maintenance
Published in
Methods in molecular biology, May 2018
DOI 10.1007/7651_2018_160
Pubmed ID
29797006
Book ISBNs
978-1-4939-8747-4, 978-1-4939-8748-1
Authors

Alfonso Saera-Vila, Phillip E. Kish, Alon Kahana, Saera-Vila, Alfonso, Kish, Phillip E., Kahana, Alon

Abstract

Zebrafish extraocular muscles regenerate after severe injury. Injured myocytes dedifferentiate to a mesenchymal progenitor state and reenter the cell cycle to proliferate, migrate, and redifferentiate into functional muscles. A dedifferentiation process that begins with a multinucleated syncytial myofiber filled with sarcomeres and ends with proliferating mononucleated myoblasts must include significant remodeling of the protein machinery and organelle content of the cell. It turns out that autophagy plays a key role early in this process, to degrade the sarcomeres as well as the excess nuclei of the syncytial multinucleated myofibers. Because of the robustness of the zebrafish reprogramming process, and its relative synchrony, it can serve as a useful in vivo model for studying the biology of autophagy. In this chapter, we describe the surgical muscle injury model as well as the experimental protocols for assessing and manipulating autophagy activation.

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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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 25%
Professor > Associate Professor 1 13%
Student > Master 1 13%
Unknown 4 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 25%
Medicine and Dentistry 1 13%
Unknown 5 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 May 2018.
All research outputs
#15,530,583
of 23,081,466 outputs
Outputs from Methods in molecular biology
#5,409
of 13,201 outputs
Outputs of similar age
#210,201
of 330,379 outputs
Outputs of similar age from Methods in molecular biology
#9
of 15 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,201 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 330,379 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.

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