Abstract
Polyphosphoinositides (PPI) play crucial roles in cellular signaling and functions. However, comprehensively determining the changed levels of these species during different cellular processes has faced difficulties. Herein, we applied a novel methylation pattern recognition and simulation approach, and we exploited newly derived fragmentation patterns of methylated PPI species for comprehensive analysis of PPI species including phosphate position(s) and fatty acyl chains capable of circumpassing previous limitations. The developed method was applied for quantitative analysis of PPI species present in diabetic mouse cortex and liver, and it allowed us to unravel the marked reduction of PPI levels in brain cortices of db/db mice for the first time. Taken together, we developed a powerful and high-throughput method for comprehensive analysis of PPI species, which should greatly contribute to the elucidation of PPI biology under different disease states.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 12137-12144 |
| Number of pages | 8 |
| Journal | Analytical Chemistry |
| Volume | 88 |
| Issue number | 24 |
| DOIs | |
| State | Published - Dec 20 2016 |
| Externally published | Yes |
ASJC Scopus subject areas
- Analytical Chemistry
Fingerprint
Dive into the research topics of 'Comprehensive and quantitative analysis of polyphosphoinositide species by shotgun lipidomics revealed their alterations in db/db mouse brain'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS