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Items: 12

1.

A Comprehensive Plasma Metabolomics Dataset for a Cohort of Mouse Knockouts within the International Mouse Phenotyping Consortium.

Barupal DK, Zhang Y, Shen T, Fan S, Roberts BS, Fitzgerald P, Wancewicz B, Valdiviez L, Wohlgemuth G, Byram G, Choy YY, Haffner B, Showalter MR, Vaniya A, Bloszies CS, Folz JS, Kind T, Flenniken AM, McKerlie C, Nutter LMJ, Lloyd KC, Fiehn O.

Metabolites. 2019 May 22;9(5). pii: E101. doi: 10.3390/metabo9050101.

2.

Multi-Omics Analyses Detail Metabolic Reprogramming in Lipids, Carnitines, and Use of Glycolytic Intermediates between Prostate Small Cell Neuroendocrine Carcinoma and Prostate Adenocarcinoma.

Gao B, Lue HW, Podolak J, Fan S, Zhang Y, Serawat A, Alumkal JJ, Fiehn O, Thomas GV.

Metabolites. 2019 Apr 26;9(5). pii: E82. doi: 10.3390/metabo9050082.

3.

Systematic Error Removal Using Random Forest for Normalizing Large-Scale Untargeted Lipidomics Data.

Fan S, Kind T, Cajka T, Hazen SL, Tang WHW, Kaddurah-Daouk R, Irvin MR, Arnett DK, Barupal DK, Fiehn O.

Anal Chem. 2019 Mar 5;91(5):3590-3596. doi: 10.1021/acs.analchem.8b05592. Epub 2019 Feb 19.

PMID:
30758187
4.

Metabolomic analysis of serum and myocardium in compensated heart failure after myocardial infarction.

McKirnan MD, Ichikawa Y, Zhang Z, Zemljic-Harpf AE, Fan S, Barupal DK, Patel HH, Hammond HK, Roth DM.

Life Sci. 2019 Mar 15;221:212-223. doi: 10.1016/j.lfs.2019.01.040. Epub 2019 Feb 5.

PMID:
30731143
5.

Generation and quality control of lipidomics data for the alzheimer's disease neuroimaging initiative cohort.

Barupal DK, Fan S, Wancewicz B, Cajka T, Sa M, Showalter MR, Baillie R, Tenenbaum JD, Louie G; Alzheimer’s Disease Neuroimaging Initiative; Alzheimer’s Disease Metabolomics Consortium, Kaddurah-Daouk R, Fiehn O.

Sci Data. 2018 Nov 20;5:180263. doi: 10.1038/sdata.2018.263.

6.

Human-like hyperplastic prostate with low ZIP1 induced solely by Zn deficiency in rats.

Fong LY, Jing R, Smalley KJ, Wang ZX, Taccioli C, Fan S, Chen H, Alder H, Huebner K, Farber JL, Fiehn O, Croce CM.

Proc Natl Acad Sci U S A. 2018 Nov 20;115(47):E11091-E11100. doi: 10.1073/pnas.1813956115. Epub 2018 Nov 5.

7.

Sex-associated differences in baseline urinary metabolites of healthy adults.

Fan S, Yeon A, Shahid M, Anger JT, Eilber KS, Fiehn O, Kim J.

Sci Rep. 2018 Aug 8;8(1):11883. doi: 10.1038/s41598-018-29592-3.

8.

Integrating bioinformatics approaches for a comprehensive interpretation of metabolomics datasets.

Barupal DK, Fan S, Fiehn O.

Curr Opin Biotechnol. 2018 Dec;54:1-9. doi: 10.1016/j.copbio.2018.01.010. Epub 2018 Feb 6. Review.

PMID:
29413745
9.

Metabolomic characteristics of cholesterol-induced non-obese nonalcoholic fatty liver disease in mice.

Tu LN, Showalter MR, Cajka T, Fan S, Pillai VV, Fiehn O, Selvaraj V.

Sci Rep. 2017 Jul 21;7(1):6120. doi: 10.1038/s41598-017-05040-6.

10.

Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images.

Guo S, Lai C, Wu C, Cen G; Alzheimer's Disease Neuroimaging Initiative.

Front Aging Neurosci. 2017 May 18;9:146. doi: 10.3389/fnagi.2017.00146. eCollection 2017. Erratum in: Front Aging Neurosci. 2017 Sep 05;9:293.

11.

Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration.

Wanichthanarak K, Fan S, Grapov D, Barupal DK, Fiehn O.

PLoS One. 2017 Jan 31;12(1):e0171046. doi: 10.1371/journal.pone.0171046. eCollection 2017.

12.

Rifaximin Exerts Beneficial Effects Independent of its Ability to Alter Microbiota Composition.

Kang DJ, Kakiyama G, Betrapally NS, Herzog J, Nittono H, Hylemon PB, Zhou H, Carroll I, Yang J, Gillevet PM, Jiao C, Takei H, Pandak WM, Iida T, Heuman DM, Fan S, Fiehn O, Kurosawa T, Sikaroodi M, Sartor RB, Bajaj JS.

Clin Transl Gastroenterol. 2016 Aug 25;7(8):e187. doi: 10.1038/ctg.2016.44.

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