↓ Skip to main content

Method Development for the Detection of Human Myostatin by High-Resolution and Targeted Mass Spectrometry

Overview of attention for article published in Journal of Proteome Research, June 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
23 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Method Development for the Detection of Human Myostatin by High-Resolution and Targeted Mass Spectrometry
Published in
Journal of Proteome Research, June 2014
DOI 10.1021/pr5004642
Pubmed ID
Authors

Hassendrini Nileishika Peiris, Keith Ashman, Kanchan Vaswani, David Kvaskoff, Gregory Edward Rice, Murray David Mitchell

Abstract

Myostatin, a highly conserved secretory protein, negatively regulates muscle development, affecting both the proliferation and differentiation of muscle cells. Proteolytic processing of the myostatin precursor protein generates a myostatin pro-peptide and mature protein. Dimerization of the mature myostatin protein creates the active form of myostatin. Myostatin dimer activity can be inhibited by noncovalent binding of two monomeric myostatin pro-peptides. This ability for myostatin to self-regulate as well as the altered expression of myostatin in states of abnormal health (e.g., muscle wasting) support the need for specific detection of myostatin forms. Current protein detection methods (e.g., Western blot) rely greatly on antibodies and are semiquantitative at best. Tandem mass spectometry (as in this study) provides a highly specific method of detection, enabling the characterization of myostatin protein forms through the analysis of discrete peptides fragments. Utilizing the scheduled high-resolution multiple reaction monitoring paradigm (sMRM(HR); AB SCIEX 5600 TripleTOF) we identified the lower limit of quantitation (LLOQ) of both mature (DFGLDCDEHSTESR) and pro-peptide regions (ELIDQYDVQR) as 0.19 nmol/L. Furthermore, scheduled multiple reaction monitoring (sMRM; AB SCIEX QTRAP 5500) identified a LLOQ for a peptide of the pro-peptide region (LETAPNISK) as 0.16 nmol/L and a peptide of the mature region (EQIIYGK) as 0.25 nmol/L.

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Student > Ph. D. Student 4 17%
Researcher 3 13%
Student > Doctoral Student 2 9%
Librarian 2 9%
Other 5 22%
Unknown 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 43%
Biochemistry, Genetics and Molecular Biology 3 13%
Chemistry 2 9%
Unspecified 1 4%
Philosophy 1 4%
Other 2 9%
Unknown 4 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 30 June 2014.
All research outputs
#20,231,820
of 22,757,541 outputs
Outputs from Journal of Proteome Research
#5,696
of 6,021 outputs
Outputs of similar age
#191,461
of 226,817 outputs
Outputs of similar age from Journal of Proteome Research
#87
of 110 outputs
Altmetric has tracked 22,757,541 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 6,021 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 1st percentile – i.e., 1% 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 226,817 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 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.