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Skeletal Muscle Development

Overview of attention for book
Cover of 'Skeletal Muscle Development'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Bisulfite Sequencing for DNA Methylation Analysis of Primary Muscle Stem Cells
  3. Altmetric Badge
    Chapter 2 Whole Genome Chromatin IP-Sequencing (ChIP-Seq) in Skeletal Muscle Cells
  4. Altmetric Badge
    Chapter 3 Analysis of RNA Expression in Adult Zebrafish Skeletal Muscle
  5. Altmetric Badge
    Chapter 4 Targeted Lipidomic Analysis of Myoblasts by GC-MS and LC-MS/MS
  6. Altmetric Badge
    Chapter 5 Measuring Mitochondrial Substrate Utilization in Skeletal Muscle Stem Cells
  7. Altmetric Badge
    Chapter 6 Microcontact-Printed Hydrogel Microwell Arrays for Clonal Muscle Stem Cell Cultures
  8. Altmetric Badge
    Chapter 7 Isolation, Culture, and Differentiation of Fibro/Adipogenic Progenitors (FAPs) from Skeletal Muscle
  9. Altmetric Badge
    Chapter 8 Human Satellite Cell Isolation and Xenotransplantation
  10. Altmetric Badge
    Chapter 9 Application of Split-GFP Reassembly Assay to Study Myogenesis and Myofusion In Vitro
  11. Altmetric Badge
    Chapter 10 Myogenic Maturation by Optical-Training in Cultured Skeletal Muscle Cells
  12. Altmetric Badge
    Chapter 11 Fabrication of Micromolded Gelatin Hydrogels for Long-Term Culture of Aligned Skeletal Myotubes
  13. Altmetric Badge
    Chapter 12 Quantification of Embryonic Myofiber Development by Immunofluorescence
  14. Altmetric Badge
    Chapter 13 How to Wire the Diaphragm: Wholemount Staining Methods to Analyze Mammalian Respiratory Innervation
  15. Altmetric Badge
    Chapter 14 Membrane Repair Assay for Human Skeletal Muscle Cells
  16. Altmetric Badge
    Chapter 15 Cryoinjury Model for Tissue Injury and Repair in Bioengineered Human Striated Muscle
Attention for Chapter 1: Bisulfite Sequencing for DNA Methylation Analysis of Primary Muscle Stem Cells
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  • High Attention Score compared to outputs of the same age and source (90th percentile)

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Chapter title
Bisulfite Sequencing for DNA Methylation Analysis of Primary Muscle Stem Cells
Chapter number 1
Book title
Skeletal Muscle Development
Published in
Methods in molecular biology, August 2017
DOI 10.1007/978-1-4939-7283-8_1
Pubmed ID
Book ISBNs
978-1-4939-7282-1, 978-1-4939-7283-8
Authors

Miyata, Kohei, Naito, Masashi, Miyata, Tomoko, Mokuda, Sho, Asahara, Hiroshi, Kohei Miyata, Masashi Naito, Tomoko Miyata, Sho Mokuda, Hiroshi Asahara

Abstract

In skeletal muscle, DNA methylation contributes to the suppression of gene expression in several biological processes and diseases. A protocol for the detection of methylated cytosine was thus established based on methylation-sensitive enzymes, immunoprecipitation, and bisulfite conversion. DNA methylation analysis, with bisulfite conversion and sequencing, enables the quantification of methylation at each single base position. Here, we describe a basic method of bisulfite sequencing that can be used to analyze local DNA methylation status to confirm genome-wide DNA methylation analysis or correlation of gene expression regulatory mechanisms.

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X Demographics

The data shown below were collected from the profiles of 8 X users 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 23%
Researcher 3 12%
Student > Ph. D. Student 2 8%
Unspecified 2 8%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 12 46%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 27%
Unspecified 2 8%
Medicine and Dentistry 2 8%
Nursing and Health Professions 1 4%
Economics, Econometrics and Finance 1 4%
Other 1 4%
Unknown 12 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 June 2018.
All research outputs
#6,805,183
of 22,999,744 outputs
Outputs from Methods in molecular biology
#2,033
of 13,151 outputs
Outputs of similar age
#106,680
of 316,465 outputs
Outputs of similar age from Methods in molecular biology
#10
of 108 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 13,151 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 84% 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 316,465 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.