| Title |
Metabolomic Analysis of Oxidative and Glycolytic Skeletal Muscles by Matrix-Assisted Laser Desorption/IonizationMass Spectrometric Imaging (MALDI MSI)
|
|---|---|
| Published in |
Journal of the American Society for Mass Spectrometry, April 2015
|
| DOI | 10.1007/s13361-015-1133-y |
| Pubmed ID | |
| Authors |
Yu-Hsuan Tsai, Timothy J. Garrett, Christy S. Carter, Richard A. Yost |
| Abstract |
Skeletal muscles are composed of heterogeneous muscle fibers that have different physiological, morphological, biochemical, and histological characteristics. In this work, skeletal muscles extensor digitorum longus, soleus, and whole gastrocnemius were analyzed by matrix-assisted laser desorption/ionization mass spectrometry to characterize small molecule metabolites of oxidative and glycolytic muscle fiber types as well as to visualize biomarker localization. Multivariate data analysis such as principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were performed to extract significant features. Different metabolic fingerprints were observed from oxidative and glycolytic fibers. Higher abundances of biomolecules such as antioxidant anserine as well as acylcarnitines were observed in the glycolytic fibers, whereas taurine and some nucleotides were found to be localized in the oxidative fibers. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 37 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 16% |
| Student > Ph. D. Student | 6 | 16% |
| Student > Doctoral Student | 5 | 13% |
| Professor > Associate Professor | 5 | 13% |
| Researcher | 4 | 11% |
| Other | 7 | 18% |
| Unknown | 5 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 10 | 26% |
| Agricultural and Biological Sciences | 5 | 13% |
| Medicine and Dentistry | 5 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Engineering | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 March 2016.
All research outputs
#16,720,137
of 25,371,288 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#2,586
of 3,833 outputs
Outputs of similar age
#160,506
of 279,637 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#23
of 38 outputs
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We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.