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Characterization and optimization of a simple, repeatable system for the long term in vitro culture of aligned myotubes in 3D

Overview of attention for article published in Journal of Cellular Biochemistry, January 2012
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Title
Characterization and optimization of a simple, repeatable system for the long term in vitro culture of aligned myotubes in 3D
Published in
Journal of Cellular Biochemistry, January 2012
DOI 10.1002/jcb.23437
Pubmed ID
Authors

A.S.T. Smith, S. Passey, L. Greensmith, V. Mudera, M.P. Lewis

Abstract

Increased recent research activity in exercise physiology has dramatically improved our understanding of skeletal muscle development and physiology in both health and disease. Advances in bioengineering have enabled the development of biomimetic 3D in vitro models of skeletal muscle which have the potential to further advance our understanding of the fundamental processes that underpin muscle physiology. As the principle structural protein of the extracellular matrix, collagen-based matrices are popular tools for the creation of such 3D models but the custom nature of many reported systems has precluded their more widespread adoption. Here we present a simple, reproducible iteration of an established 3D in vitro model of skeletal muscle, demonstrating both the high levels of reproducibility possible in this system and the improved cellular architecture of such constructs over standard 2D cell culture techniques. We have used primary rat muscle cells to validate this simple model and generate comparable data to conventional established cell culture techniques. We have optimized culture parameters for these cells which should provide a template in this 3D system for using muscle cells derived from other donor species and cell lines.

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

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Belgium 1 <1%
Unknown 129 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 29%
Student > Master 21 16%
Researcher 15 11%
Student > Bachelor 15 11%
Student > Doctoral Student 8 6%
Other 17 13%
Unknown 18 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 20%
Engineering 26 20%
Biochemistry, Genetics and Molecular Biology 22 17%
Medicine and Dentistry 13 10%
Sports and Recreations 5 4%
Other 17 13%
Unknown 23 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 22 January 2012.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from Journal of Cellular Biochemistry
#3,848
of 4,754 outputs
Outputs of similar age
#229,705
of 251,775 outputs
Outputs of similar age from Journal of Cellular Biochemistry
#47
of 53 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,754 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.