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Neural Plasticity
Volume 2016, Article ID 2426398, 13 pages
Review Article

Lipidomic Analysis of Endocannabinoid Signaling: Targeted Metabolite Identification and Quantification

1Department of Biological Sciences, Center for Plant Lipid Research, University of North Texas, Denton, TX 76203, USA
2Brookhaven National Laboratory, 50 Bell Avenue, Building 463, P.O. Box 5000, Upton, NY 11973-5000, USA

Received 1 July 2015; Accepted 9 September 2015

Academic Editor: Jean-François Bouchard

Copyright © 2016 Jantana Keereetaweep and Kent D. Chapman. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [10 citations]

The following is the list of published articles that have cited the current article.

  • Kui Yang, Beverly G. Dilthey, and Richard W. Gross, “Shotgun Lipidomics Approach to Stabilize the Regiospecificity of Monoglycerides Using a Facile Low-Temperature Derivatization Enabling Their Definitive Identification and Quantitation,” Analytical Chemistry, 2016. View at Publisher · View at Google Scholar
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  • Irantzu Rico-Barrio, Aresatz Usobiaga, Oier Aizpurua-Olaizola, Izaskun Elezgarai, Iratxe Zarandona, and Nestor Etxebarria, “Targeting the endocannabinoid system: future therapeutic strategies,” Drug Discovery Today, vol. 22, no. 1, pp. 105–110, 2016. View at Publisher · View at Google Scholar
  • Qun Liang, Han Liu, Yan Jiang, Tianyu Zhang, Ai-Hua Zhang, and Haitao Xing, “Discovering lipid phenotypic changes of sepsis-induced lung injury using high-throughput lipidomic analysis,” RSC Advances, vol. 6, no. 44, pp. 38233–38237, 2016. View at Publisher · View at Google Scholar
  • Anna Brigida, Stephen Schultz, Mariana Cascone, Nicola Antonucci, and Dario Siniscalco, “Endocannabinod Signal Dysregulation in Autism Spectrum Disorders: A Correlation Link between Inflammatory State and Neuro-Immune Alterations,” International Journal of Molecular Sciences, vol. 18, no. 7, pp. 1425, 2017. View at Publisher · View at Google Scholar
  • Mariana I. Holubiec, Juan I. Romero, Eduardo Blanco, Tamara Logica Tornatore, Juan Suarez, Fernando Rodríguez de Fonseca, Pablo Galeano, and Francisco Capani, “Acylethanolamides and endocannabinoid signaling system in dorsal striatum of rats exposed to perinatal asphyxia,” Neuroscience Letters, 2017. View at Publisher · View at Google Scholar
  • Camila Marchioni, Israel Donizeti de Souza, Vinicius Ricardo Acquaro Junior, José Alexandre de Souza Crippa, Vitor Tumas, and Maria Eugênia Costa Queiroz, “Recent advances in LC-MS/MS methods to determine endocannabinoids in biological samples: application in neurodegenerative diseases,” Analytica Chimica Acta, 2018. View at Publisher · View at Google Scholar
  • Xiaoru Dong, Liliang Li, Yonghong Ye, Dingang Zhang, Lixing Zheng, Yan Jiang, and Min Shen, “Surrogate analyte‐based quantification of main endocannabinoids in whole blood using liquid chromatography–tandem mass spectrometry,” Biomedical Chromatography, pp. e4439, 2018. View at Publisher · View at Google Scholar
  • Dmitry A. Bakulin, Elena V. Volotova, Ivan N. Tyurenkov, Ekaterina O. Logvinova, Alexander A. Ozerov, Denis V. Kurkin, and Dmitry D. Borodin, “Structure and biological activity of endogenous and synthetic agonists of GPR119,” Russian Chemical Reviews, vol. 87, no. 2, pp. 151–166, 2018. View at Publisher · View at Google Scholar
  • Zhijun Cao, Thomas C. Schmitt, Vijayalakshmi Varma, Daniel Sloper, Richard D. Beger, and Jinchun Sun, “Evaluation of the Performance of Lipidyzer Platform and Its Application in the Lipidomics Analysis in Mouse Heart and Liver,” Journal of Proteome Research, 2019. View at Publisher · View at Google Scholar