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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 65: Autophagy in Adipocyte Differentiation
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Chapter title
Autophagy in Adipocyte Differentiation
Chapter number 65
Book title
Autophagy in Differentiation and Tissue Maintenance
Published in
Methods in molecular biology, August 2017
DOI 10.1007/7651_2017_65
Pubmed ID
28815517
Book ISBNs
978-1-4939-8747-4, 978-1-4939-8748-1
Authors

Zhipeng Tao, Longhua Liu, Louise D. Zheng, Zhiyong Cheng, Tao, Zhipeng, Liu, Longhua, Zheng, Louise D., Cheng, Zhiyong

Abstract

Adipose tissue regulates metabolic homeostasis by acting as an endocrine organ and energy reservoir. Adipose tissue development and functional maintenance are dependent on adipocyte differentiation, in which autophagy plays an important role. It has been shown that autophagy deficiency dampens adipocyte differentiation, compromises adipose tissue development, dysregulates adipocytokine secretion, and even causes sudden death in young animals. Therefore, accurate assessment of autophagy in adipocyte is critical for the study of adipose biology or pathology of metabolic diseases. In this chapter, we described the procedure of autophagy analysis during adipocyte differentiation, and discussed the power of steady-state autophagy protein (e.g., beclin 1, LC3, and p62) levels versus autophagy flux to reflect autophagy activity.

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

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 17%
Student > Ph. D. Student 3 17%
Student > Master 2 11%
Librarian 1 6%
Lecturer > Senior Lecturer 1 6%
Other 3 17%
Unknown 5 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 33%
Veterinary Science and Veterinary Medicine 1 6%
Agricultural and Biological Sciences 1 6%
Psychology 1 6%
Sports and Recreations 1 6%
Other 0 0%
Unknown 8 44%
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 18 August 2017.
All research outputs
#20,442,790
of 22,997,544 outputs
Outputs from Methods in molecular biology
#9,933
of 13,151 outputs
Outputs of similar age
#278,247
of 318,832 outputs
Outputs of similar age from Methods in molecular biology
#101
of 140 outputs
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So far Altmetric has tracked 13,151 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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