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Muscle Stem Cells

Overview of attention for book
Cover of 'Muscle Stem Cells'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Muscle Stem Cells: A Model System for Adult Stem Cell Biology
  3. Altmetric Badge
    Chapter 2 Isolation of Muscle Stem Cells from Mouse Skeletal Muscle
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    Chapter 3 Primary Mouse Myoblast Purification using Magnetic Cell Separation
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    Chapter 4 Isolation, Culture, and Immunostaining of Skeletal Muscle Myofibers from Wildtype and Nestin-GFP Mice as a Means to Analyze Satellite Cell
  6. Altmetric Badge
    Chapter 5 Characterization of Drosophila Muscle Stem Cell-Like Adult Muscle Precursors
  7. Altmetric Badge
    Chapter 6 Using Transgenic Zebrafish to Study Muscle Stem/Progenitor Cells
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    Chapter 7 Muscle Interstitial Cells: A Brief Field Guide to Non-satellite Cell Populations in Skeletal Muscle
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    Chapter 8 Isolation and Characterization of Vessel-Associated Stem/Progenitor Cells from Skeletal Muscle
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    Chapter 9 Fibro/Adipogenic Progenitors (FAPs): Isolation by FACS and Culture
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    Chapter 10 Single Cell Gene Expression Profiling of Skeletal Muscle-Derived Cells
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    Chapter 11 Engraftment of FACS Isolated Muscle Stem Cells into Injured Skeletal Muscle
  13. Altmetric Badge
    Chapter 12 Transplantation of Skeletal Muscle Stem Cells
  14. Altmetric Badge
    Chapter 13 Simultaneous Measurement of Mitochondrial and Glycolytic Activity in Quiescent Muscle Stem Cells
  15. Altmetric Badge
    Chapter 14 Monitoring Autophagy in Muscle Stem Cells
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    Chapter 15 Mimicking Muscle Stem Cell Quiescence in Culture: Methods for Synchronization in Reversible Arrest
  17. Altmetric Badge
    Chapter 16 Methods for Observing and Quantifying Muscle Satellite Cell Motility and Invasion In Vitro
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    Chapter 17 Effects of Macrophage Conditioned-Medium on Murine and Human Muscle Cells: Analysis of Proliferation, Differentiation, and Fusion
  19. Altmetric Badge
    Chapter 18 Optimization of Satellite Cell Culture Through Biomaterials
  20. Altmetric Badge
    Chapter 19 Systematic Identification of Genes Regulating Muscle Stem Cell Self-Renewal and Differentiation
  21. Altmetric Badge
    Chapter 20 Bioinformatics for Novel Long Intergenic Noncoding RNA (lincRNA) Identification in Skeletal Muscle Cells
Attention for Chapter 14: Monitoring Autophagy in Muscle Stem Cells
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Chapter title
Monitoring Autophagy in Muscle Stem Cells
Chapter number 14
Book title
Muscle Stem Cells
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6771-1_14
Pubmed ID
Book ISBNs
978-1-4939-6769-8, 978-1-4939-6771-1
Authors

Laura García-Prat, Pura Muñoz-Cánoves, Marta Martínez-Vicente, García-Prat, Laura, Muñoz-Cánoves, Pura, Martínez-Vicente, Marta

Editors

Eusebio Perdiguero, DDW Cornelison

Abstract

Autophagy is critical not only for the cell's adaptive response to starvation but also for cellular homeostasis, by acting as quality-control machinery for cytoplasmic components. This basal autophagic activity is particularly needed in postmitotic cells for survival maintenance. Recently, basal autophagic activity was reported in skeletal muscle stem cells (satellite cells) in their dormant quiescent state. Satellite cells are responsible for growth as well as for regeneration of muscle in response to stresses such as injury or disease. In the absence of stress, quiescence is the stem cell state of these cells throughout life, although which mechanisms maintain long-life quiescence remains largely unknown. Our recent findings showed that autophagy is necessary for quiescence maintenance in satellite cells and for retention of their regenerative functions. Importantly, damaged organelles and proteins accumulated in these cells with aging and this was connected to age-associated defective autophagy. Refueling of autophagy through genetic and pharmacological strategies restored aged satellite cell functions, and these finding have biomedical implications. In this chapter, we describe different experimental strategies to evaluate autophagic activity in satellite cells in resting muscle of mice. They should facilitate our competence to investigate stem cell functions both during tissue homeostasis as in pathological conditions.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 42%
Other 2 11%
Researcher 2 11%
Librarian 1 5%
Student > Bachelor 1 5%
Other 3 16%
Unknown 2 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 37%
Agricultural and Biological Sciences 3 16%
Business, Management and Accounting 2 11%
Nursing and Health Professions 1 5%
Sports and Recreations 1 5%
Other 1 5%
Unknown 4 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 February 2018.
All research outputs
#13,747,704
of 21,175,128 outputs
Outputs from Methods in molecular biology
#4,063
of 11,953 outputs
Outputs of similar age
#162,013
of 276,359 outputs
Outputs of similar age from Methods in molecular biology
#4
of 21 outputs
Altmetric has tracked 21,175,128 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,953 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 62% 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 276,359 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.