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Skeletal Muscle Development

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

Table of Contents

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    Book Overview
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    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
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    Chapter 3 Analysis of RNA Expression in Adult Zebrafish Skeletal Muscle
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    Chapter 4 Targeted Lipidomic Analysis of Myoblasts by GC-MS and LC-MS/MS
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    Chapter 5 Measuring Mitochondrial Substrate Utilization in Skeletal Muscle Stem Cells
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    Chapter 6 Microcontact-Printed Hydrogel Microwell Arrays for Clonal Muscle Stem Cell Cultures
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    Chapter 7 Isolation, Culture, and Differentiation of Fibro/Adipogenic Progenitors (FAPs) from Skeletal Muscle
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    Chapter 8 Human Satellite Cell Isolation and Xenotransplantation
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    Chapter 9 Application of Split-GFP Reassembly Assay to Study Myogenesis and Myofusion In Vitro
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    Chapter 10 Myogenic Maturation by Optical-Training in Cultured Skeletal Muscle Cells
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    Chapter 11 Fabrication of Micromolded Gelatin Hydrogels for Long-Term Culture of Aligned Skeletal Myotubes
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    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 2: Whole Genome Chromatin IP-Sequencing (ChIP-Seq) in Skeletal Muscle Cells
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Chapter title
Whole Genome Chromatin IP-Sequencing (ChIP-Seq) in Skeletal Muscle Cells
Chapter number 2
Book title
Skeletal Muscle Development
Published in
Methods in molecular biology, August 2017
DOI 10.1007/978-1-4939-7283-8_2
Pubmed ID
Book ISBNs
978-1-4939-7282-1, 978-1-4939-7283-8
Authors

So, Karl Kamhei, Peng, Xianlu Laura, Sun, Hao, Wang, Huating, Karl Kamhei So, Xianlu Laura Peng, Hao Sun, Huating Wang

Abstract

Transcriptional control of gene expression in skeletal muscle cell is involved in different processes ranging from muscle formation to regeneration. The identification of an increasing number of transcription factors, co-factors, and histone modifications has been greatly advanced by methods that allow studies of genome-wide chromatin-protein interactions. Chromatin immunoprecipitation with massively parallel DNA sequencing, or ChIP-seq, is a powerful tool for identifying binding sites of TFs/co-factors and histone modifications. The major steps of this technique involve immunoprecipitation of fragmented chromatin, followed by high-throughput sequencing to identify the protein bound regions genome-wide. Here, in this protocol, we will illustrate how the entire ChIP-seq is performed using global H3K27ac profiling in myoblast cells as an example.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Unspecified 1 17%
Student > Bachelor 1 17%
Student > Postgraduate 1 17%
Unknown 1 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 33%
Unspecified 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Chemistry 1 17%
Unknown 1 17%
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 27 August 2017.
All research outputs
#18,569,430
of 22,999,744 outputs
Outputs from Methods in molecular biology
#7,954
of 13,151 outputs
Outputs of similar age
#242,598
of 316,465 outputs
Outputs of similar age from Methods in molecular biology
#60
of 108 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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 24th percentile – i.e., 24% 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 316,465 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
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 is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.