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Items: 1 to 20 of 157

1.

Comprehensive Metabolomic and Lipidomic Profiling of Human Kidney Tissue: A Platform Comparison.

Leuthold P, Schaeffeler E, Winter S, Büttner F, Hofmann U, Mürdter TE, Rausch S, Sonntag D, Wahrheit J, Fend F, Hennenlotter J, Bedke J, Schwab M, Haag M.

J Proteome Res. 2017 Feb 3;16(2):933-944. doi: 10.1021/acs.jproteome.6b00875. Epub 2017 Jan 12.

PMID:
27992229
2.

Translational Metabolomics of Head Injury: Exploring Dysfunctional Cerebral Metabolism with Ex Vivo NMR Spectroscopy-Based Metabolite Quantification.

Wolahan SM, Hirt D, Glenn TC.

In: Kobeissy FH, editor. Brain Neurotrauma: Molecular, Neuropsychological, and Rehabilitation Aspects. Boca Raton (FL): CRC Press/Taylor & Francis; 2015. Chapter 25.

3.

Extending metabolome coverage for untargeted metabolite profiling of adherent cultured hepatic cells.

García-Cañaveras JC, López S, Castell JV, Donato MT, Lahoz A.

Anal Bioanal Chem. 2016 Feb;408(4):1217-30. doi: 10.1007/s00216-015-9227-8. Epub 2016 Jan 14.

PMID:
26769129
4.

Comparison of fully wettable RPLC stationary phases for LC-MS-based cellular metabolomics.

Si-Hung L, Causon TJ, Hann S.

Electrophoresis. 2017 Sep;38(18):2287-2295. doi: 10.1002/elps.201700157. Epub 2017 Aug 1.

PMID:
28691762
5.

Breast milk metabolome characterization in a single-phase extraction, multiplatform analytical approach.

Villaseñor A, Garcia-Perez I, Garcia A, Posma JM, Fernández-López M, Nicholas AJ, Modi N, Holmes E, Barbas C.

Anal Chem. 2014 Aug 19;86(16):8245-52. doi: 10.1021/ac501853d. Epub 2014 Aug 6.

PMID:
25058331
6.

Comprehensive and simultaneous coverage of lipid and polar metabolites for endogenous cellular metabolomics using HILIC-TOF-MS.

Fei F, Bowdish DM, McCarry BE.

Anal Bioanal Chem. 2014 Jun;406(15):3723-33. doi: 10.1007/s00216-014-7797-5. Epub 2014 Apr 10.

7.

Development of LC-QTOF-MS method for human lung tissue fingerprinting. A preliminary application to nonsmall cell lung cancer.

Ciborowski M, Kisluk J, Pietrowska K, Samczuk P, Parfieniuk E, Kowalczyk T, Kozlowski M, Kretowski A, Niklinski J.

Electrophoresis. 2017 Sep;38(18):2304-2312. doi: 10.1002/elps.201700022. Epub 2017 May 18.

PMID:
28440547
8.

Development of high-performance chemical isotope labeling LC-MS for profiling the human fecal metabolome.

Xu W, Chen D, Wang N, Zhang T, Zhou R, Huan T, Lu Y, Su X, Xie Q, Li L, Li L.

Anal Chem. 2015 Jan 20;87(2):829-36. doi: 10.1021/ac503619q. Epub 2014 Dec 25.

9.

Global metabolic profiling using ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry.

Qi Y, Song Y, Gu H, Fan G, Chai Y.

Methods Mol Biol. 2014;1198:15-27. doi: 10.1007/978-1-4939-1258-2_2.

PMID:
25270920
10.

Development of a universal metabolome-standard method for long-term LC-MS metabolome profiling and its application for bladder cancer urine-metabolite-biomarker discovery.

Peng J, Chen YT, Chen CL, Li L.

Anal Chem. 2014 Jul 1;86(13):6540-7. doi: 10.1021/ac5011684. Epub 2014 Jun 10.

PMID:
24877652
11.

Simultaneous metabolomics and lipidomics analysis based on novel heart-cutting two-dimensional liquid chromatography-mass spectrometry.

Wang S, Zhou L, Wang Z, Shi X, Xu G.

Anal Chim Acta. 2017 May 8;966:34-40. doi: 10.1016/j.aca.2017.03.004. Epub 2017 Mar 20.

PMID:
28372724
12.

Metabolomic study of human tissue and urine in clear cell renal carcinoma by LC-HRMS and PLS-DA.

Nizioł J, Bonifay V, Ossoliński K, Ossoliński T, Ossolińska A, Sunner J, Beech I, Arendowski A, Ruman T.

Anal Bioanal Chem. 2018 Jun;410(16):3859-3869. doi: 10.1007/s00216-018-1059-x. Epub 2018 Apr 16.

13.

Counting missing values in a metabolite-intensity data set for measuring the analytical performance of a metabolomics platform.

Huan T, Li L.

Anal Chem. 2015 Jan 20;87(2):1306-13. doi: 10.1021/ac5039994. Epub 2014 Dec 30.

PMID:
25496403
14.

A review of nanoscale LC-ESI for metabolomics and its potential to enhance the metabolome coverage.

Chetwynd AJ, David A.

Talanta. 2018 May 15;182:380-390. doi: 10.1016/j.talanta.2018.01.084. Epub 2018 Feb 5. Review.

PMID:
29501168
15.

A comprehensive high-resolution mass spectrometry approach for characterization of metabolites by combination of ambient ionization, chromatography and imaging methods.

Berisha A, Dold S, Guenther S, Desbenoit N, Takats Z, Spengler B, Römpp A.

Rapid Commun Mass Spectrom. 2014 Aug 30;28(16):1779-91. doi: 10.1002/rcm.6960.

PMID:
25559448
16.

Development, characterization and comparisons of targeted and non-targeted metabolomics methods.

Ribbenstedt A, Ziarrusta H, Benskin JP.

PLoS One. 2018 Nov 15;13(11):e0207082. doi: 10.1371/journal.pone.0207082. eCollection 2018.

17.

Annotation of the human serum metabolome by coupling three liquid chromatography methods to high-resolution mass spectrometry.

Boudah S, Olivier MF, Aros-Calt S, Oliveira L, Fenaille F, Tabet JC, Junot C.

J Chromatogr B Analyt Technol Biomed Life Sci. 2014 Sep 1;966:34-47. doi: 10.1016/j.jchromb.2014.04.025. Epub 2014 Apr 21.

PMID:
24815365
18.

Kidney tumor biomarkers revealed by simultaneous multiple matrix metabolomics analysis.

Ganti S, Taylor SL, Abu Aboud O, Yang J, Evans C, Osier MV, Alexander DC, Kim K, Weiss RH.

Cancer Res. 2012 Jul 15;72(14):3471-9. doi: 10.1158/0008-5472.CAN-11-3105. Epub 2012 May 24.

19.

Told through the wine: A liquid chromatography-mass spectrometry interplatform comparison reveals the influence of the global approach on the final annotated metabolites in non-targeted metabolomics.

Díaz R, Gallart-Ayala H, Sancho JV, Nuñez O, Zamora T, Martins CP, Hernández F, Hernández-Cassou S, Saurina J, Checa A.

J Chromatogr A. 2016 Feb 12;1433:90-7. doi: 10.1016/j.chroma.2016.01.010. Epub 2016 Jan 7.

20.

Metabolic analysis.

Tolstikov VV.

Methods Mol Biol. 2009;544:343-53. doi: 10.1007/978-1-59745-483-4_22.

PMID:
19488710

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