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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
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    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
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    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
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    Chapter 12 Transplantation of Skeletal Muscle Stem Cells
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    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 18: Optimization of Satellite Cell Culture Through Biomaterials
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  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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2 Facebook pages

Citations

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Chapter title
Optimization of Satellite Cell Culture Through Biomaterials
Chapter number 18
Book title
Muscle Stem Cells
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6771-1_18
Pubmed ID
28247359
Book ISBNs
978-1-4939-6769-8, 978-1-4939-6771-1, 978-1-4939-6769-8, 978-1-4939-6771-1
Authors

Sadegh Davoudi, Penney M. Gilbert, Davoudi, Sadegh, Gilbert, Penney M.

Editors

Eusebio Perdiguero, DDW Cornelison

Abstract

Hydrogels, a type of biomaterial, are an invaluable part of biomedical research as they are highly hydrated and properties such as elasticity, porosity, and ligand density can be tuned to desired values. Recently, culture substrate stiffness was found to be an important regulator of muscle stem cell self-renewal. Polyethylene glycol (PEG), a synthetic polymer, can be fabricated into hydrogels that match the softness of skeletal muscle tissue, thereby providing a culture surface that is optimal for maintaining muscle stem cell self-renewal potential ex vivo. In this Chapter, we describe a method to produce flat PEG hydrogels across a range of stiffnesses, including a formulation that matches the bulk stiffness of healthy skeletal muscle (12 kPa), while maintaining a constant ligand density. Since PEG is inert to protein adsorption, the steps required to surface functionalize the hydrogel with an adhesive interface (e.g., laminin) are also described.

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Twitter Demographics

The data shown below were collected from the profiles of 2 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Researcher 2 17%
Student > Bachelor 1 8%
Professor 1 8%
Student > Master 1 8%
Other 3 25%
Unknown 1 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 42%
Engineering 3 25%
Agricultural and Biological Sciences 2 17%
Unknown 2 17%

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 23 May 2017.
All research outputs
#13,542,613
of 22,958,253 outputs
Outputs from Methods in molecular biology
#3,648
of 13,137 outputs
Outputs of similar age
#162,455
of 311,244 outputs
Outputs of similar age from Methods in molecular biology
#51
of 268 outputs
Altmetric has tracked 22,958,253 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,137 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% 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 311,244 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 268 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.

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