کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5142600 | 1496269 | 2017 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Quantitative analysis of the tumor suppressor dendrogenin A using liquid chromatography tandem mass spectrometry
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی (عمومی)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Dendrogenin A (DDA) was recently identified as a mammalian cholesterol metabolite that displays tumor suppressor and neurostimulating properties at low doses. In breast tumors, DDA levels were found to be decreased compared to normal tissues, evidencing a metabolic deregulation of DDA production in cancers. DDA is an amino-oxysterol that contains three protonatable nitrogen atoms. This makes it physico-chemically different from other oxysterols and it therefore requires specific analytical methods We have previously used a two-step method for the quantification of DDA in biological samples: 1) DDA purification from a Bligh and Dyer extract by RP-HPLC using a 250Â ÃÂ 4.6Â mm column, followed by 2) nano-electrospray ionization mass spectrometry (MS) fragmentation to analyze the HPLC fraction of interest. We report here the development a liquid chromatography tandem mass spectrometry method for the analysis of DDA and its analogues. This new method is fast (10Â min), resolving (peak width <4Â s) and has a weak carryover (<0.01%). We show that this technique efficiently separates DDA from its C17 isomer and other steroidal alkaloids from the same family establishing a proof of concept for the analysis of this family of amino-oxysterols.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemistry and Physics of Lipids - Volume 207, Part B, October 2017, Pages 81-86
Journal: Chemistry and Physics of Lipids - Volume 207, Part B, October 2017, Pages 81-86
نویسندگان
Emmanuel Noguer, Régis Soules, Claude Netter, Citra Nagarathinam, Julie Leignadier, Emilie Huc-Claustre, Nizar Serhan, Arnaud Rives, Philippe de Medina, Sandrine Silvente-Poirot, Marc Poirot,