Sphingolipids are a highly diverse group of biomolecules that are not only membrane components but are also involved in various cellular functions such as signaling and protein sorting. In order to obtain a quantitative view of the sphingolipidome, sensitive, accurate and comprehensive methods are needed. Here, we present a targeted reversed-phase liquid chromatography/high resolution mass spectrometry-based workflow that significantly increases the accuracy of measured sphingolipids by resolving nearly-isobaric and isobaric species; this is accomplished by a use of: i) an optimized extraction procedure, ii) a segmented gradient and iii) parallel reaction monitoring of a sphingolipid specific fragmentation pattern. The workflow was benchmarked against an accepted sphingolipid model system, the RAW 264.7 cell line, and 61 sphingolipids were quantified over a dynamic range of seven orders of magnitude, with detection limits in the low fmol/mg protein level, making this workflow an extremely versatile tool for high-throughput sphingolipidomics.
Pharmacology, Toxicology and Pharmaceutical Science
6
13%
Agricultural and Biological Sciences
3
7%
Immunology and Microbiology
2
4%
Other
2
4%
Unknown
15
33%
Attention Score in Context
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 23 December 2025.
All research outputs
#3,982,586
of 29,931,151 outputs
Outputs from Analytical Chemistry
#2,220
of 30,490 outputs
Outputs of similar age
#58,577
of 347,998 outputs
Outputs of similar age from Analytical Chemistry
#33
of 315 outputs
Altmetric has tracked 29,931,151 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 30,490 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 92% 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 347,998 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 315 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.
