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Autophagy in Differentiation and Tissue Maintenance

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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 158: Porcine Cell-Free System to Study Mammalian Sperm Mitophagy
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Chapter title
Porcine Cell-Free System to Study Mammalian Sperm Mitophagy
Chapter number 158
Book title
Autophagy in Differentiation and Tissue Maintenance
Published in
Methods in molecular biology, May 2018
DOI 10.1007/7651_2018_158
Pubmed ID
Book ISBNs
978-1-4939-8747-4, 978-1-4939-8748-1
Authors

Won-Hee Song, Peter Sutovsky, Song, Won-Hee, Sutovsky, Peter

Abstract

A cell-free system using oocyte extracts is a valuable tool to study early events of animal fertilization and examine protein-protein interactions difficult to observe in whole cells. The process of postfertilization sperm mitophagy assures timely elimination of paternal, sperm-contributed mitochondria carrying potentially corrupted mitochondrial DNA (mtDNA). Cell-free systems would be especially advantageous for studying postfertilization sperm mitophagy as large amounts of oocyte extracts can be incubated with hundreds to thousands of spermatozoa in a single trial, while only one spermatozoon per zygote can be examined by whole-cell approaches. Since sperm mitophagy is species-specific, the abundantly available frog egg extracts commonly used for cell-free systems have to be replaced with isospecific mammalian oocyte extracts, which are difficult to obtain. Here we describe the protocol for a mammalian, porcine cell-free system consisting of permeabilized domestic boar spermatozoa co-incubated with cell extracts from porcine oocytes, suitable for studying the interactions of maternal, oocyte-derived mitophagy factors with paternal, sperm mitochondria.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 29%
Researcher 2 14%
Student > Master 2 14%
Student > Doctoral Student 1 7%
Lecturer 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 43%
Medicine and Dentistry 2 14%
Agricultural and Biological Sciences 1 7%
Veterinary Science and Veterinary Medicine 1 7%
Unknown 4 29%
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 12 May 2018.
All research outputs
#18,607,615
of 23,049,027 outputs
Outputs from Methods in molecular biology
#7,994
of 13,196 outputs
Outputs of similar age
#252,182
of 325,569 outputs
Outputs of similar age from Methods in molecular biology
#12
of 17 outputs
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