Literature DB >> 19624122

Integrated, nontargeted ultrahigh performance liquid chromatography/electrospray ionization tandem mass spectrometry platform for the identification and relative quantification of the small-molecule complement of biological systems.

Anne M Evans1, Corey D DeHaven, Tom Barrett, Matt Mitchell, Eric Milgram.   

Abstract

To address the challenges associated with metabolomics analyses, such as identification of chemical structures and elimination of experimental artifacts, we developed a platform that integrated the chemical analysis, including identification and relative quantification, data reduction, and quality assurance components of the process. The analytical platform incorporated two separate ultrahigh performance liquid chromatography/tandem mass spectrometry (UHPLC/MS/MS(2)) injections; one injection was optimized for basic species, and the other was optimized for acidic species. This approach permitted the detection of 339 small molecules, a total instrument analysis time of 24 min (two injections at 12 min each), while maintaining a median process variability of 9%. The resulting MS/MS(2) data were searched against an in-house generated authentic standard library that included retention time, molecular weight (m/z), preferred adducts, and in-source fragments as well as their associated MS/MS spectra for all molecules in the library. The library allowed the rapid and high-confidence identification of the experimentally detected molecules based on a multiparameter match without need for additional analyses. This integrated platform enabled the high-throughput collection and relative quantitative analysis of analytical data and identified a large number and broad spectrum of molecules with a high degree of confidence.

Mesh:

Year:  2009        PMID: 19624122     DOI: 10.1021/ac901536h

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  625 in total

1.  Cell-autonomous circadian clock of hepatocytes drives rhythms in transcription and polyamine synthesis.

Authors:  Ann Atwood; Robert DeConde; Susanna S Wang; Todd C Mockler; Jamal S M Sabir; Trey Ideker; Steve A Kay
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-31       Impact factor: 11.205

2.  Coordination of the transcriptome and metabolome by the circadian clock.

Authors:  Kristin L Eckel-Mahan; Vishal R Patel; Robert P Mohney; Katie S Vignola; Pierre Baldi; Paolo Sassone-Corsi
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-19       Impact factor: 11.205

3.  Kidney tumor biomarkers revealed by simultaneous multiple matrix metabolomics analysis.

Authors:  Sheila Ganti; Sandra L Taylor; Omran Abu Aboud; Joy Yang; Christopher Evans; Michael V Osier; Danny C Alexander; Kyoungmi Kim; Robert H Weiss
Journal:  Cancer Res       Date:  2012-05-24       Impact factor: 12.701

4.  Plasma metabolomic profile in nonalcoholic fatty liver disease.

Authors:  Satish C Kalhan; Lining Guo; John Edmison; Srinivasan Dasarathy; Arthur J McCullough; Richard W Hanson; Mike Milburn
Journal:  Metabolism       Date:  2010-04-27       Impact factor: 8.694

5.  Serum Metabolomic Profiling of All-Cause Mortality: A Prospective Analysis in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) Study Cohort.

Authors:  Jiaqi Huang; Stephanie J Weinstein; Steven C Moore; Andriy Derkach; Xing Hua; Linda M Liao; Fangyi Gu; Alison M Mondul; Joshua N Sampson; Demetrius Albanes
Journal:  Am J Epidemiol       Date:  2018-08-01       Impact factor: 4.897

6.  RIPK3 mediates pathogenesis of experimental ventilator-induced lung injury.

Authors:  Ilias I Siempos; Kevin C Ma; Mitsuru Imamura; Rebecca M Baron; Laura E Fredenburgh; Jin-Won Huh; Jong-Seok Moon; Eli J Finkelsztein; Daniel S Jones; Michael Torres Lizardi; Edward J Schenck; Stefan W Ryter; Kiichi Nakahira; Augustine Mk Choi
Journal:  JCI Insight       Date:  2018-05-03

7.  Serum metabolomic profile of incident diabetes.

Authors:  Casey M Rebholz; Bing Yu; Zihe Zheng; Patrick Chang; Adrienne Tin; Anna Köttgen; Lynne E Wagenknecht; Josef Coresh; Eric Boerwinkle; Elizabeth Selvin
Journal:  Diabetologia       Date:  2018-03-20       Impact factor: 10.122

8.  Associations between metabolites and pancreatic cancer risk in a large prospective epidemiological study.

Authors:  Rachael Stolzenberg-Solomon; Andriy Derkach; Steven Moore; Stephanie J Weinstein; Demetrius Albanes; Joshua Sampson
Journal:  Gut       Date:  2020-02-14       Impact factor: 23.059

Review 9.  Identification of small molecules using accurate mass MS/MS search.

Authors:  Tobias Kind; Hiroshi Tsugawa; Tomas Cajka; Yan Ma; Zijuan Lai; Sajjan S Mehta; Gert Wohlgemuth; Dinesh Kumar Barupal; Megan R Showalter; Masanori Arita; Oliver Fiehn
Journal:  Mass Spectrom Rev       Date:  2017-04-24       Impact factor: 10.946

10.  Serum biomarkers of habitual coffee consumption may provide insight into the mechanism underlying the association between coffee consumption and colorectal cancer.

Authors:  Kristin A Guertin; Erikka Loftfield; Simina M Boca; Joshua N Sampson; Steven C Moore; Qian Xiao; Wen-Yi Huang; Xiaoqin Xiong; Neal D Freedman; Amanda J Cross; Rashmi Sinha
Journal:  Am J Clin Nutr       Date:  2015-03-11       Impact factor: 7.045

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