Literature DB >> 28193056

Comprehensive and Quantitative Analysis of Polyphosphoinositide Species by Shotgun Lipidomics Revealed Their Alterations in db/db Mouse Brain.

Chunyan Wang1, Juan Pablo Palavicini1, Miao Wang1, Linyuan Chen1, Kui Yang2, Peter A Crawford1, Xianlin Han1.   

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.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 28193056     DOI: 10.1021/acs.analchem.6b02947

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  16 in total

1.  Analytical challenges of shotgun lipidomics at different resolution of measurements.

Authors:  Jianing Wang; Xianlin Han
Journal:  Trends Analyt Chem       Date:  2019-10-17       Impact factor: 12.296

2.  Profiling of Phosphoinositide Molecular Species in Resting or Activated Human or Mouse Platelets by a LC-MS Method.

Authors:  Gaëtan Chicanne; Justine Bertrand-Michel; Julien Viaud; Karim Hnia; Jonathan Clark; Bernard Payrastre
Journal:  Methods Mol Biol       Date:  2021

3.  Fatty-acyl chain profiles of cellular phosphoinositides.

Authors:  Alexis Traynor-Kaplan; Martin Kruse; Eamonn J Dickson; Gucan Dai; Oscar Vivas; Haijie Yu; Dale Whittington; Bertil Hille
Journal:  Biochim Biophys Acta Mol Cell Biol Lipids       Date:  2017-02-09       Impact factor: 4.698

Review 4.  Strategies to Improve/Eliminate the Limitations in Shotgun Lipidomics.

Authors:  Changfeng Hu; Qiao Duan; Xianlin Han
Journal:  Proteomics       Date:  2019-08-08       Impact factor: 3.984

5.  Novel strategies for enhancing shotgun lipidomics for comprehensive analysis of cellular lipidomes.

Authors:  Changfeng Hu; Chunyan Wang; Lijiao He; Xianlin Han
Journal:  Trends Analyt Chem       Date:  2018-11-27       Impact factor: 12.296

6.  Lipidome-wide characterization of phosphatidylinositols and phosphatidylglycerols on CC location level.

Authors:  Tian Xia; Hanlin Ren; Wenpeng Zhang; Yu Xia
Journal:  Anal Chim Acta       Date:  2020-07-08       Impact factor: 6.558

Review 7.  Understanding phosphoinositides: rare, dynamic, and essential membrane phospholipids.

Authors:  Eamonn J Dickson; Bertil Hille
Journal:  Biochem J       Date:  2019-01-07       Impact factor: 3.857

8.  Quantitative Analysis of Polyphosphoinositide, Bis(monoacylglycero)phosphate, and Phosphatidylglycerol Species by Shotgun Lipidomics After Methylation.

Authors:  Meixia Pan; Chao Qin; Xianlin Han
Journal:  Methods Mol Biol       Date:  2021

Review 9.  Enhancing detection and characterization of lipids using charge manipulation in electrospray ionization-tandem mass spectrometry.

Authors:  Caitlin E Randolph; Stephen J Blanksby; Scott A McLuckey
Journal:  Chem Phys Lipids       Date:  2020-09-03       Impact factor: 3.329

10.  Mass spectrometry imaging and LC/MS reveal decreased cerebellar phosphoinositides in Niemann-Pick type C1-null mice.

Authors:  Koralege C Pathmasiri; Melissa R Pergande; Fernando Tobias; Rima Rebiai; Avia Rosenhouse-Dantsker; Ernesto R Bongarzone; Stephanie M Cologna
Journal:  J Lipid Res       Date:  2020-05-05       Impact factor: 5.922

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.