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Development of a mass-spectrometry-based lipidomics platform for the profiling of phospholipids and sphingolipids in brain tissues

Overview of attention for article published in Analytical & Bioanalytical Chemistry, June 2015
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Title
Development of a mass-spectrometry-based lipidomics platform for the profiling of phospholipids and sphingolipids in brain tissues
Published in
Analytical & Bioanalytical Chemistry, June 2015
DOI 10.1007/s00216-015-8822-z
Pubmed ID
Authors

Tingting Zhang, Si Chen, Xinle Liang, Hong Zhang

Abstract

This article describes the development of a lipidomic platform consisting of a 4000 QTRAP mass spectrometer and a self-installed sample inlet system to indentify and quantify 12 phospholipid and five sphingolipid classes from lipid-rich brain tissues of mouse, duck, and salmon. The total mass spectrometry analysis time per sample was 30 min, including 14 min for direct infusion for phospholipids and sulfatide in precursor ion scanning mode or neutral loss scanning mode, and 16 min for liquid-chromatographic separation of ceramide, sphingomyelin, monohexosylceramide, and dihexosylceramide in multiple reaction monitoring mode. The method was fully validated in terms of linearity, detectability, recovery, and repeatability, with satisfactory results for all targets. We individually quantified 307, 308, and 330 lipid species from 17 lipid subclasses, and obtained total amounts of 57.2, 61.7, and 53.1 mg/g wet brain for mouse, duck, and salmon tissues, respectively. Phosphatidylcholine, phosphatidylethanolamine, phosphatidylserine, and sphingomyelin were the major lipids in all the brain samples, whereas phosphatidylinositol occurred at a relatively higher level in the salmon sample. For phospholipids, sphingolipids, and minor lysophospholipids, differences in the identity of the molecular species, their distributions, and their relative amounts as well as the contribution of each lipid subclass to the whole polar lipidome were found. Palmitic acid (16:0), stearic acid (18:0), lignoceric acid (24:0), oleic acid (18:1), nervonic acid (24:1), arachidonic acid (20:4), and docosahexaenoic acid (22:6) were found as the main saturated, monounsaturated, and polyunsaturated fatty acids in samples from the different species, but eicosapentaenoic acid (20:5) and docosahexaenoic acid (22:6) were more abundant in the salmon brain sample. The results are in good agreement with those in previous reports obtained from the relevant tissues, providing a reliable basis that could be extended to clinical research and resource evaluation. Graphical Abstract Methodology for phospholipids and sphingolipids profiling in brain tissues.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Austria 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 25%
Researcher 9 20%
Student > Master 5 11%
Other 3 7%
Student > Bachelor 3 7%
Other 6 14%
Unknown 7 16%
Readers by discipline Count As %
Chemistry 11 25%
Biochemistry, Genetics and Molecular Biology 8 18%
Agricultural and Biological Sciences 6 14%
Medicine and Dentistry 4 9%
Neuroscience 4 9%
Other 3 7%
Unknown 8 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 2020.
All research outputs
#8,261,756
of 25,373,627 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,975
of 9,619 outputs
Outputs of similar age
#91,221
of 278,308 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#18
of 183 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 77% of its peers.
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 278,308 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.