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Items: 1 to 20 of 80

1.

A view from above: cloud plots to visualize global metabolomic data.

Patti GJ, Tautenhahn R, Rinehart D, Cho K, Shriver LP, Manchester M, Nikolskiy I, Johnson CH, Mahieu NG, Siuzdak G.

Anal Chem. 2013 Jan 15;85(2):798-804. doi: 10.1021/ac3029745.

2.

Interactive XCMS Online: simplifying advanced metabolomic data processing and subsequent statistical analyses.

Gowda H, Ivanisevic J, Johnson CH, Kurczy ME, Benton HP, Rinehart D, Nguyen T, Ray J, Kuehl J, Arevalo B, Westenskow PD, Wang J, Arkin AP, Deutschbauer AM, Patti GJ, Siuzdak G.

Anal Chem. 2014 Jul 15;86(14):6931-9. doi: 10.1021/ac500734c.

3.

An Interactive Cluster Heat Map to Visualize and Explore Multidimensional Metabolomic Data.

Benton PH, Ivanisevic J, Rinehart D, Epstein A, Kurczy ME, Boska MD, Gendelman HE, Siuzdak G.

Metabolomics. 2015 Aug 1;11(4):1029-1034.

4.

X13CMS: global tracking of isotopic labels in untargeted metabolomics.

Huang X, Chen YJ, Cho K, Nikolskiy I, Crawford PA, Patti GJ.

Anal Chem. 2014 Feb 4;86(3):1632-9. doi: 10.1021/ac403384n.

5.

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.

6.

XCMS Online: a web-based platform to process untargeted metabolomic data.

Tautenhahn R, Patti GJ, Rinehart D, Siuzdak G.

Anal Chem. 2012 Jun 5;84(11):5035-9. doi: 10.1021/ac300698c.

7.

Autonomous metabolomics for rapid metabolite identification in global profiling.

Benton HP, Ivanisevic J, Mahieu NG, Kurczy ME, Johnson CH, Franco L, Rinehart D, Valentine E, Gowda H, Ubhi BK, Tautenhahn R, Gieschen A, Fields MW, Patti GJ, Siuzdak G.

Anal Chem. 2015 Jan 20;87(2):884-91. doi: 10.1021/ac5025649.

8.

Identification of metabolic markers in coronary artery disease using an untargeted LC-MS based metabolomic approach.

Basak T, Varshney S, Hamid Z, Ghosh S, Seth S, Sengupta S.

J Proteomics. 2015 Sep 8;127(Pt A):169-77. doi: 10.1016/j.jprot.2015.03.011.

PMID:
25790721
9.

MetaboLyzer: a novel statistical workflow for analyzing Postprocessed LC-MS metabolomics data.

Mak TD, Laiakis EC, Goudarzi M, Fornace AJ Jr.

Anal Chem. 2014 Jan 7;86(1):506-13. doi: 10.1021/ac402477z.

10.

MetaboAnalyst: a web server for metabolomic data analysis and interpretation.

Xia J, Psychogios N, Young N, Wishart DS.

Nucleic Acids Res. 2009 Jul;37(Web Server issue):W652-60. doi: 10.1093/nar/gkp356.

11.

Metabolome searcher: a high throughput tool for metabolite identification and metabolic pathway mapping directly from mass spectrometry and using genome restriction.

Dhanasekaran AR, Pearson JL, Ganesan B, Weimer BC.

BMC Bioinformatics. 2015 Feb 25;16:62. doi: 10.1186/s12859-015-0462-y.

12.

After the feature presentation: technologies bridging untargeted metabolomics and biology.

Cho K, Mahieu NG, Johnson SL, Patti GJ.

Curr Opin Biotechnol. 2014 Aug;28:143-8. doi: 10.1016/j.copbio.2014.04.006. Review.

13.

Development of isotope labeling liquid chromatography mass spectrometry for mouse urine metabolomics: quantitative metabolomic study of transgenic mice related to Alzheimer's disease.

Peng J, Guo K, Xia J, Zhou J, Yang J, Westaway D, Wishart DS, Li L.

J Proteome Res. 2014 Oct 3;13(10):4457-69. doi: 10.1021/pr500828v.

PMID:
25164377
14.

Metabolomic study on the faecal extracts of atherosclerosis mice and its application in a Traditional Chinese Medicine.

Tian F, Gu L, Si A, Yao Q, Zhang X, Zhao J, Hu D.

J Chromatogr B Analyt Technol Biomed Life Sci. 2015 Dec 15;1007:140-8. doi: 10.1016/j.jchromb.2015.10.016.

PMID:
26596842
15.

Credentialing features: a platform to benchmark and optimize untargeted metabolomic methods.

Mahieu NG, Huang X, Chen YJ, Patti GJ.

Anal Chem. 2014 Oct 7;86(19):9583-9. doi: 10.1021/ac503092d.

16.

Updates in metabolomics tools and resources: 2014-2015.

Misra BB, van der Hooft JJ.

Electrophoresis. 2016 Jan;37(1):86-110. doi: 10.1002/elps.201500417. Review.

PMID:
26464019
17.

Metabolomics in pneumonia and sepsis: an analysis of the GenIMS cohort study.

Seymour CW, Yende S, Scott MJ, Pribis J, Mohney RP, Bell LN, Chen YF, Zuckerbraun BS, Bigbee WL, Yealy DM, Weissfeld L, Kellum JA, Angus DC.

Intensive Care Med. 2013 Aug;39(8):1423-34. doi: 10.1007/s00134-013-2935-7.

18.

Mass-Spectrometry-Based Serum Metabolomics of a C57BL/6J Mouse Model of High-Fat-Diet-Induced Non-alcoholic Fatty Liver Disease Development.

Lai YS, Chen WC, Kuo TC, Ho CT, Kuo CH, Tseng YJ, Lu KH, Lin SH, Panyod S, Sheen LY.

J Agric Food Chem. 2015 Sep 9;63(35):7873-84. doi: 10.1021/acs.jafc.5b02830.

PMID:
26262841
19.

Untargeted large-scale plant metabolomics using liquid chromatography coupled to mass spectrometry.

De Vos RC, Moco S, Lommen A, Keurentjes JJ, Bino RJ, Hall RD.

Nat Protoc. 2007;2(4):778-91.

PMID:
17446877
20.

Comparison of peak-picking workflows for untargeted liquid chromatography/high-resolution mass spectrometry metabolomics data analysis.

Rafiei A, Sleno L.

Rapid Commun Mass Spectrom. 2015 Jan 15;29(1):119-27. doi: 10.1002/rcm.7094.

PMID:
25462372

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