↓ Skip to main content

Laser capture microdissection of metachromatically stained skeletal muscle allows quantification of fiber type specific gene expression

Overview of attention for article published in Molecular and Cellular Biochemistry, November 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
30 Mendeley
Title
Laser capture microdissection of metachromatically stained skeletal muscle allows quantification of fiber type specific gene expression
Published in
Molecular and Cellular Biochemistry, November 2012
DOI 10.1007/s11010-012-1538-x
Pubmed ID
Authors

Charles R. Vanderburg, Mark S. F. Clarke

Abstract

Skeletal muscle contains various myofiber types closely associated with satellite stem cells, vasculature, and neurons, thus making it difficult to perform genetic or proteomic expression analysis with sufficient cellular specificity to resolve differences at the individual cell or myofiber type level. Here, we describe the combination of a simple histochemical method capable of simultaneously identifying Type I, IIA, IIB, and IIC myofibers followed by laser capture micro-dissection (LCM) to compare the expression profiles of individual fiber types, myonuclear domains, and satellite cells in frozen muscle sections of control and atrophied muscle. Quantitative RT-PCR (qPCR) was used to verify the integrity of the cell-specific RNAs harvested after histologic staining, while qPCR for specific genes of interest was used to quantify atrophy-associated changes in mRNA. Our data demonstrate that the differential myofiber atrophy previously described by histologic means is related to differential expression of atrophy-related genes, such as MuRF1 and MAFbx (a.k.a. Atrogin-1), within different myofiber type populations. This spatially resolved molecular pathology (SRMP) technique allowed quantitation of atrophy-related gene products within individual fiber types that could not be resolved by expression analysis of the whole muscle. The present study demonstrates the importance of fiber type specific expression profiling in understanding skeletal muscle biology especially during muscle atrophy and provides a practical method of performing such research.

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

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 33%
Student > Ph. D. Student 6 20%
Student > Master 3 10%
Student > Bachelor 3 10%
Other 2 7%
Other 2 7%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 40%
Biochemistry, Genetics and Molecular Biology 6 20%
Veterinary Science and Veterinary Medicine 1 3%
Nursing and Health Professions 1 3%
Immunology and Microbiology 1 3%
Other 5 17%
Unknown 4 13%
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 08 December 2012.
All research outputs
#18,323,689
of 22,689,790 outputs
Outputs from Molecular and Cellular Biochemistry
#1,555
of 2,291 outputs
Outputs of similar age
#214,698
of 276,634 outputs
Outputs of similar age from Molecular and Cellular Biochemistry
#15
of 19 outputs
Altmetric has tracked 22,689,790 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 2,291 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 21st percentile – i.e., 21% 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 276,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.