Literature DB >> 12894816

Metabonomic analysis of mouse urine by liquid-chromatography-time of flight mass spectrometry (LC-TOFMS): detection of strain, diurnal and gender differences.

Robert Plumb1, Jennifer Granger, Chris Stumpf, Ian D Wilson, Julie A Evans, Eva M Lenz.   

Abstract

The application of HPLC-MS combined with principal components analysis (PCA) to the metabonomic analysis of mouse urine is demonstrated. Urine samples from three strains of mouse were analysed by gradient HPLC-MS combined with positive and negative electrospray time-of-flight mass spectrometry. Analysis of the resulting data using PCA enabled the samples to be discriminated between on the basis of gender, strain and diurnal variation. These preliminary results suggest that HPLC-MS-based approaches may have a useful role in metabonomic analysis that complements existing approaches.

Entities:  

Mesh:

Year:  2003        PMID: 12894816     DOI: 10.1039/b304296k

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  15 in total

1.  Metabolomic applications of electrochemistry/mass spectrometry.

Authors:  Paul H Gamache; David F Meyer; Michael C Granger; Ian N Acworth
Journal:  J Am Soc Mass Spectrom       Date:  2004-12       Impact factor: 3.109

Review 2.  Mass spectrometry-based metabolomics.

Authors:  Katja Dettmer; Pavel A Aronov; Bruce D Hammock
Journal:  Mass Spectrom Rev       Date:  2007 Jan-Feb       Impact factor: 10.946

3.  A unified modeling framework for metabonomic profile development and covariate selection for acute trauma subjects.

Authors:  S Ghosh; D K Dey
Journal:  Stat Med       Date:  2008-08-30       Impact factor: 2.373

4.  Capillary electrophoresis mass spectrometry-based saliva metabolomics identified oral, breast and pancreatic cancer-specific profiles.

Authors:  Masahiro Sugimoto; David T Wong; Akiyoshi Hirayama; Tomoyoshi Soga; Masaru Tomita
Journal:  Metabolomics       Date:  2009-09-10       Impact factor: 4.290

5.  Human blood metabolite timetable indicates internal body time.

Authors:  Takeya Kasukawa; Masahiro Sugimoto; Akiko Hida; Yoichi Minami; Masayo Mori; Sato Honma; Ken-ichi Honma; Kazuo Mishima; Tomoyoshi Soga; Hiroki R Ueda
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-27       Impact factor: 11.205

6.  The aspartate metabolism pathway is differentiable in human hepatocellular carcinoma: transcriptomics and (13) C-isotope based metabolomics.

Authors:  Moses M Darpolor; Sankha S Basu; Andrew Worth; David S Nelson; Regina H Clarke-Katzenberg; Jerry D Glickson; David E Kaplan; Ian A Blair
Journal:  NMR Biomed       Date:  2014-02-04       Impact factor: 4.044

7.  Measurement of internal body time by blood metabolomics.

Authors:  Yoichi Minami; Takeya Kasukawa; Yuji Kakazu; Masayuki Iigo; Masahiro Sugimoto; Satsuki Ikeda; Akira Yasui; Gijsbertus T J van der Horst; Tomoyoshi Soga; Hiroki R Ueda
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-01       Impact factor: 11.205

8.  Metabolomic and genetic analysis of biomarkers for peroxisome proliferator-activated receptor alpha expression and activation.

Authors:  Yueying Zhen; Kristopher W Krausz; Chi Chen; Jeffrey R Idle; Frank J Gonzalez
Journal:  Mol Endocrinol       Date:  2007-06-05

9.  Metabolomic analysis of dynamic response and drug resistance of gastric cancer cells to 5-fluorouracil.

Authors:  Shinsuke Sasada; Yoshihiro Miyata; Yasuhiro Tsutani; Naohiro Tsuyama; Tsutomu Masujima; Jun Hihara; Morihito Okada
Journal:  Oncol Rep       Date:  2012-12-11       Impact factor: 3.906

10.  MMMDB: Mouse Multiple Tissue Metabolome Database.

Authors:  Masahiro Sugimoto; Satsuki Ikeda; Kanako Niigata; Masaru Tomita; Hideyo Sato; Tomoyoshi Soga
Journal:  Nucleic Acids Res       Date:  2011-12-01       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.