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Skeletal Muscle Stem Cells

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

Table of Contents

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    Book Overview
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    Chapter 1 Flow Cytometer Analyses, Isolation, and Staining of Murine Muscle Satellite Cells
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    Chapter 2 Extra Eyelid-Derived Muscle Stem Cells
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    Chapter 3 Isolation, Culture, and Analysis of Zebrafish Myofibers and Associated Muscle Stem Cells to Explore Adult Skeletal Myogenesis
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    Chapter 4 The Satellite Cell Colony Forming Cell Assay as a Tool to Measure Self-Renewal and Differentiation Potential
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    Chapter 5 Co-cultures of Macrophages with Muscle Stem Cells with Fibroadipogenic Precursor Cells from Regenerating Skeletal Muscle
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    Chapter 6 Measuring Oxygen Consumption Rate (OCR) and Extracellular Acidification Rate (ECAR) in Muscle Stem Cells Using a Seahorse Analyzer: Applicability for Aging Studies
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    Chapter 7 High Throughput Screening of Mitochondrial Bioenergetics in Myoblasts and Differentiated Myotubes.
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    Chapter 8 State of the Art Procedures for the Isolation and Characterization of Mesoangioblasts
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    Chapter 9 Analyses of Mesenchymal Progenitors in Skeletal Muscle by Fluorescence-Activated Cell Sorting and Tissue Clearing
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    Chapter 10 In Vitro Maturation of Human Pluripotent Stem Cell-Derived Myotubes
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    Chapter 11 Differentiation of Human Fetal Muscle Stem Cells from Induced Pluripotent Stem Cells
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    Chapter 12 Sphere-Based Expansion of Myogenic Progenitors from Human Pluripotent Stem Cells
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    Chapter 13 Producing Engraftable Skeletal Myogenic Progenitors from Pluripotent Stem Cells via Teratoma Formation
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    Chapter 14 Techniques for Injury, Cell Transplantation, and Histological Analysis in Skeletal Muscle
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    Chapter 15 Murine Models of Tenotomy-Induced Mechanical Overloading and Tail-Suspension-Induced Mechanical Unloading
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    Chapter 16 Skeletal Muscle Denervation: Sciatic and Tibial Nerve Transection Technique
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    Chapter 17 Skeletal Muscle Regeneration in Zebrafish
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    Chapter 18 Methods to Monitor Circadian Clock Function in Skeletal Muscle
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    Chapter 19 Visualizing MyoD Oscillations in Muscle Stem Cells
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    Chapter 20 In Vivo Modeling of Skeletal Muscle Diseases Using the CRISPR/Cas9 System in Rats
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    Chapter 21 In Vivo Investigation of Gene Function in Muscle Stem Cells by CRISPR/Cas9-Mediated Genome Editing
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    Chapter 22 Exons 45–55 Skipping Using Antisense Oligonucleotides in Immortalized Human DMD Muscle Cells
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    Chapter 23 In Vivo Evaluation of Exon 51 Skipping in hDMD/Dmd-null Mice
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    Chapter 24 Functional Analysis of MicroRNAs in Skeletal Muscle
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    Chapter 25 Targeted Lipidomics Analysis of Adipose and Skeletal Muscle Tissues by Multiple Reaction Monitoring Profiling.
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    Chapter 26 Single-Cell Transcriptomic Analysis of Mononuclear Cell Populations in Skeletal Muscle
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    Chapter 27 Assay for Transposase-Accessible Chromatin Using Sequencing of Freshly Isolated Muscle Stem Cells.
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    Chapter 28 Efficient Genome-Wide Chromatin Profiling by CUT&RUN with Low Numbers of Muscle Stem Cells.
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    Chapter 29 Epitranscriptome Mapping of N6-Methyladenosine Using m6A Immunoprecipitation with High Throughput Sequencing in Skeletal Muscle Stem Cells.
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    Chapter 30 Visualization of RNA Transcripts in Muscle Stem Cells Using Single-Molecule Fluorescence In Situ Hybridization
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    Chapter 31 Tissue Clearing and Confocal Microscopic Imaging for Skeletal Muscle
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    Chapter 32 Three-Dimensional Imaging Analysis for Skeletal Muscle
Attention for Chapter 31: Tissue Clearing and Confocal Microscopic Imaging for Skeletal Muscle
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Chapter title
Tissue Clearing and Confocal Microscopic Imaging for Skeletal Muscle
Chapter number 31
Book title
Skeletal Muscle Stem Cells
Published in
Methods in molecular biology, March 2023
DOI 10.1007/978-1-0716-3036-5_31
Pubmed ID
Book ISBNs
978-1-07-163035-8, 978-1-07-163036-5
Authors

Karthikeyan, Smrithi, Asakura, Yoko, Verma, Mayank, Asakura, Atsushi

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Medicine and Dentistry 1 33%
Unknown 1 33%
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 03 April 2023.
All research outputs
#15,826,194
of 23,510,717 outputs
Outputs from Methods in molecular biology
#5,533
of 13,362 outputs
Outputs of similar age
#132,347
of 247,447 outputs
Outputs of similar age from Methods in molecular biology
#12
of 46 outputs
Altmetric has tracked 23,510,717 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 13,362 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 43rd percentile – i.e., 43% 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 247,447 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.