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1178 related items for PubMed ID: 25164377
21. DnsID in MyCompoundID for rapid identification of dansylated amine- and phenol-containing metabolites in LC-MS-based metabolomics. Huan T, Wu Y, Tang C, Lin G, Li L. Anal Chem; 2015 Oct 06; 87(19):9838-45. PubMed ID: 26327437 [Abstract] [Full Text] [Related]
22. Development of a metabolomic approach based on urine samples and direct infusion mass spectrometry. González-Domínguez R, Castilla-Quintero R, García-Barrera T, Gómez-Ariza JL. Anal Biochem; 2014 Nov 15; 465():20-7. PubMed ID: 25064643 [Abstract] [Full Text] [Related]
23. Dansylation metabolite assay: a simple and rapid method for sample amount normalization in metabolomics. Wu Y, Li L. Anal Chem; 2014 Oct 07; 86(19):9428-33. PubMed ID: 25215550 [Abstract] [Full Text] [Related]
24. IsoMS: automated processing of LC-MS data generated by a chemical isotope labeling metabolomics platform. Zhou R, Tseng CL, Huan T, Li L. Anal Chem; 2014 May 20; 86(10):4675-9. PubMed ID: 24766305 [Abstract] [Full Text] [Related]
25. A new metabolomic workflow for early detection of Alzheimer's disease. Ibáñez C, Simó C, Barupal DK, Fiehn O, Kivipelto M, Cedazo-Mínguez A, Cifuentes A. J Chromatogr A; 2013 Aug 09; 1302():65-71. PubMed ID: 23827464 [Abstract] [Full Text] [Related]
26. 5-Diethylamino-naphthalene-1-sulfonyl chloride (DensCl): a novel triplex isotope labeling reagent for quantitative metabolome analysis by liquid chromatography mass spectrometry. Zhou R, Guo K, Li L. Anal Chem; 2013 Dec 03; 85(23):11532-9. PubMed ID: 24200037 [Abstract] [Full Text] [Related]
27. Machine learning liquid chromatography retention time prediction model augments the dansylation strategy for metabolite analysis of urine samples. Choi E, Yoo WJ, Jang HY, Kim TY, Lee SK, Oh HB. J Chromatogr A; 2023 Aug 30; 1705():464167. PubMed ID: 37348224 [Abstract] [Full Text] [Related]
28. Ion-pairing reversed-phase liquid chromatography fractionation in combination with isotope labeling reversed-phase liquid chromatography-mass spectrometry for comprehensive metabolome profiling. Guo K, Peng J, Zhou R, Li L. J Chromatogr A; 2011 Jun 10; 1218(23):3689-94. PubMed ID: 21543078 [Abstract] [Full Text] [Related]
29. Retention time shift analysis and correction in chemical isotope labeling liquid chromatography/mass spectrometry for metabolome analysis. Li Y, Li L. Rapid Commun Mass Spectrom; 2020 Apr 10; 34 Suppl 1():e8643. PubMed ID: 31705568 [Abstract] [Full Text] [Related]
30. High-Performance Chemical Isotope Labeling Liquid Chromatography Mass Spectrometry for Exosome Metabolomics. Luo X, An M, Cuneo KC, Lubman DM, Li L. Anal Chem; 2018 Jul 17; 90(14):8314-8319. PubMed ID: 29920066 [Abstract] [Full Text] [Related]
31. Development of a simple and efficient method of harvesting and lysing adherent mammalian cells for chemical isotope labeling LC-MS-based cellular metabolomics. Luo X, Gu X, Li L. Anal Chim Acta; 2018 Dec 11; 1037():97-106. PubMed ID: 30292319 [Abstract] [Full Text] [Related]
33. Quantitative analysis of amyloid beta peptides in cerebrospinal fluid of Alzheimer's disease patients by immunoaffinity purification and stable isotope dilution liquid chromatography/negative electrospray ionization tandem mass spectrometry. Oe T, Ackermann BL, Inoue K, Berna MJ, Garner CO, Gelfanova V, Dean RA, Siemers ER, Holtzman DM, Farlow MR, Blair IA. Rapid Commun Mass Spectrom; 2006 Dec 11; 20(24):3723-35. PubMed ID: 17117458 [Abstract] [Full Text] [Related]
34. Blood-based diagnosis of Alzheimer's disease using fingerprinting metabolomics based on hydrophilic interaction liquid chromatography with mass spectrometry and multivariate statistical analysis. Inoue K, Tsuchiya H, Takayama T, Akatsu H, Hashizume Y, Yamamoto T, Matsukawa N, Toyo'oka T. J Chromatogr B Analyt Technol Biomed Life Sci; 2015 Jan 01; 974():24-34. PubMed ID: 25463194 [Abstract] [Full Text] [Related]
35. Qualitative metabolome analysis of human cerebrospinal fluid by 13C-/12C-isotope dansylation labeling combined with liquid chromatography Fourier transform ion cyclotron resonance mass spectrometry. Guo K, Bamforth F, Li L. J Am Soc Mass Spectrom; 2011 Feb 01; 22(2):339-47. PubMed ID: 21472593 [Abstract] [Full Text] [Related]
36. Cerebrospinal Fluid Metabolomics After Natural Product Treatment in an Experimental Model of Cerebral Ischemia. Huan T, Xian JW, Leung WN, Li L, Chan CW. OMICS; 2016 Nov 01; 20(11):670-680. PubMed ID: 27732148 [Abstract] [Full Text] [Related]
37. Chemical Isotope Labeling LC-MS for Metabolomics. Zhao S, Li L. Adv Exp Med Biol; 2021 Nov 01; 1280():1-18. PubMed ID: 33791971 [Abstract] [Full Text] [Related]
38. Dansylhydrazine Isotope Labeling LC-MS for Comprehensive Carboxylic Acid Submetabolome Profiling. Zhao S, Li L. Anal Chem; 2018 Nov 20; 90(22):13514-13522. PubMed ID: 30339755 [Abstract] [Full Text] [Related]
39. Application of metabolomics based on direct mass spectrometry analysis for the elucidation of altered metabolic pathways in serum from the APP/PS1 transgenic model of Alzheimer's disease. González-Domínguez R, García-Barrera T, Vitorica J, Gómez-Ariza JL. J Pharm Biomed Anal; 2015 Mar 25; 107():378-85. PubMed ID: 25656489 [Abstract] [Full Text] [Related]
40. Comprehensive Profiling of Fecal Metabolome of Mice by Integrated Chemical Isotope Labeling-Mass Spectrometry Analysis. Yuan BF, Zhu QF, Guo N, Zheng SJ, Wang YL, Wang J, Xu J, Liu SJ, He K, Hu T, Zheng YW, Xu FQ, Feng YQ. Anal Chem; 2018 Mar 06; 90(5):3512-3520. PubMed ID: 29406693 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]