Literature DB >> 24894601

A strategy for sensitive, large scale quantitative metabolomics.

Xiaojing Liu1, Zheng Ser1, Ahmad A Cluntun2, Samantha J Mentch2, Jason W Locasale3.   

Abstract

Metabolite profiling has been a valuable asset in the study of metabolism in health and disease. However, current platforms have different limiting factors, such as labor intensive sample preparations, low detection limits, slow scan speeds, intensive method optimization for each metabolite, and the inability to measure both positively and negatively charged ions in single experiments. Therefore, a novel metabolomics protocol could advance metabolomics studies. Amide-based hydrophilic chromatography enables polar metabolite analysis without any chemical derivatization. High resolution MS using the Q-Exactive (QE-MS) has improved ion optics, increased scan speeds (256 msec at resolution 70,000), and has the capability of carrying out positive/negative switching. Using a cold methanol extraction strategy, and coupling an amide column with QE-MS enables robust detection of 168 targeted polar metabolites and thousands of additional features simultaneously.  Data processing is carried out with commercially available software in a highly efficient way, and unknown features extracted from the mass spectra can be queried in databases.

Entities:  

Mesh:

Year:  2014        PMID: 24894601      PMCID: PMC4109060          DOI: 10.3791/51358

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  22 in total

1.  Global metabolic profiling procedures for urine using UPLC-MS.

Authors:  Elizabeth J Want; Ian D Wilson; Helen Gika; Georgios Theodoridis; Robert S Plumb; John Shockcor; Elaine Holmes; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2010-06       Impact factor: 13.491

2.  High-throughput data analysis for detecting and identifying differences between samples in GC/MS-based metabolomic analyses.

Authors:  Pär Jonsson; Annika I Johansson; Jonas Gullberg; Johan Trygg; Jiye A; Bjørn Grung; Stefan Marklund; Michael Sjöström; Henrik Antti; Thomas Moritz
Journal:  Anal Chem       Date:  2005-09-01       Impact factor: 6.986

3.  Visualization of GC/TOF-MS-based metabolomics data for identification of biochemically interesting compounds using OPLS class models.

Authors:  Susanne Wiklund; Erik Johansson; Lina Sjöström; Ewa J Mellerowicz; Ulf Edlund; John P Shockcor; Johan Gottfries; Thomas Moritz; Johan Trygg
Journal:  Anal Chem       Date:  2007-11-21       Impact factor: 6.986

Review 4.  Multiple reaction monitoring for quantitative biomarker analysis in proteomics and metabolomics.

Authors:  Neil R Kitteringham; Rosalind E Jenkins; Catherine S Lane; Victoria L Elliott; B Kevin Park
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2008-11-14       Impact factor: 3.205

5.  CircadiOmics: integrating circadian genomics, transcriptomics, proteomics and metabolomics.

Authors:  Vishal R Patel; Kristin Eckel-Mahan; Paolo Sassone-Corsi; Pierre Baldi
Journal:  Nat Methods       Date:  2012-07-30       Impact factor: 28.547

6.  Determination of the rate of the glutamate/glutamine cycle in the human brain by in vivo 13C NMR.

Authors:  J Shen; K F Petersen; K L Behar; P Brown; T W Nixon; G F Mason; O A Petroff; G I Shulman; R G Shulman; D L Rothman
Journal:  Proc Natl Acad Sci U S A       Date:  1999-07-06       Impact factor: 11.205

7.  A positive/negative ion-switching, targeted mass spectrometry-based metabolomics platform for bodily fluids, cells, and fresh and fixed tissue.

Authors:  Min Yuan; Susanne B Breitkopf; Xuemei Yang; John M Asara
Journal:  Nat Protoc       Date:  2012-04-12       Impact factor: 13.491

8.  Combining genomics, metabolome analysis, and biochemical modelling to understand metabolic networks.

Authors:  O Fiehn
Journal:  Comp Funct Genomics       Date:  2001

9.  A prototrophic deletion mutant collection for yeast metabolomics and systems biology.

Authors:  Michael Mülleder; Floriana Capuano; Pınar Pir; Stefan Christen; Uwe Sauer; Stephen G Oliver; Markus Ralser
Journal:  Nat Biotechnol       Date:  2012-12       Impact factor: 54.908

10.  MetaboMiner--semi-automated identification of metabolites from 2D NMR spectra of complex biofluids.

Authors:  Jianguo Xia; Trent C Bjorndahl; Peter Tang; David S Wishart
Journal:  BMC Bioinformatics       Date:  2008-11-28       Impact factor: 3.169

View more
  16 in total

1.  Aldolase B-Mediated Fructose Metabolism Drives Metabolic Reprogramming of Colon Cancer Liver Metastasis.

Authors:  Pengcheng Bu; Kai-Yuan Chen; Kun Xiang; Christelle Johnson; Scott B Crown; Nikolai Rakhilin; Yiwei Ai; Lihua Wang; Rui Xi; Inna Astapova; Yan Han; Jiahe Li; Bradley B Barth; Min Lu; Ziyang Gao; Robert Mines; Liwen Zhang; Mark Herman; David Hsu; Guo-Fang Zhang; Xiling Shen
Journal:  Cell Metab       Date:  2018-04-26       Impact factor: 27.287

Review 2.  Metabolomics: A Primer.

Authors:  Xiaojing Liu; Jason W Locasale
Journal:  Trends Biochem Sci       Date:  2017-02-11       Impact factor: 13.807

Review 3.  Towards quantitative mass spectrometry-based metabolomics in microbial and mammalian systems.

Authors:  Rahul Vijay Kapoore; Seetharaman Vaidyanathan
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-10-28       Impact factor: 4.226

4.  A Predictive Model for Selective Targeting of the Warburg Effect through GAPDH Inhibition with a Natural Product.

Authors:  Maria V Liberti; Ziwei Dai; Suzanne E Wardell; Joshua A Baccile; Xiaojing Liu; Xia Gao; Robert Baldi; Mahya Mehrmohamadi; Marc O Johnson; Neel S Madhukar; Alexander A Shestov; Iok I Christine Chio; Olivier Elemento; Jeffrey C Rathmell; Frank C Schroeder; Donald P McDonnell; Jason W Locasale
Journal:  Cell Metab       Date:  2017-09-14       Impact factor: 27.287

5.  Diisopropylethylamine/hexafluoroisopropanol-mediated ion-pairing ultra-high-performance liquid chromatography/mass spectrometry for phosphate and carboxylate metabolite analysis: utility for studying cellular metabolism.

Authors:  Lili Guo; Andrew J Worth; Clementina Mesaros; Nathaniel W Snyder; Jerry D Glickson; Ian A Blair
Journal:  Rapid Commun Mass Spectrom       Date:  2016-08-30       Impact factor: 2.419

6.  Evolved resistance to partial GAPDH inhibition results in loss of the Warburg effect and in a different state of glycolysis.

Authors:  Maria V Liberti; Annamarie E Allen; Vijyendra Ramesh; Ziwei Dai; Katherine R Singleton; Zufeng Guo; Jun O Liu; Kris C Wood; Jason W Locasale
Journal:  J Biol Chem       Date:  2019-11-20       Impact factor: 5.157

7.  Short term methionine restriction increases hepatic global DNA methylation in adult but not young male C57BL/6J mice.

Authors:  Dwight A L Mattocks; Samantha J Mentch; Jelena Shneyder; Gene P Ables; Dongxiao Sun; John P Richie; Jason W Locasale; Sailendra N Nichenametla
Journal:  Exp Gerontol       Date:  2016-12-07       Impact factor: 4.032

8.  Histone Methylation Dynamics and Gene Regulation Occur through the Sensing of One-Carbon Metabolism.

Authors:  Samantha J Mentch; Mahya Mehrmohamadi; Lei Huang; Xiaojing Liu; Diwakar Gupta; Dwight Mattocks; Paola Gómez Padilla; Gene Ables; Marcas M Bamman; Anna E Thalacker-Mercer; Sailendra N Nichenametla; Jason W Locasale
Journal:  Cell Metab       Date:  2015-09-24       Impact factor: 27.287

9.  p300-Mediated Lysine 2-Hydroxyisobutyrylation Regulates Glycolysis.

Authors:  He Huang; Shuang Tang; Ming Ji; Zhanyun Tang; Miho Shimada; Xiaojing Liu; Shankang Qi; Jason W Locasale; Robert G Roeder; Yingming Zhao; Xiaoling Li
Journal:  Mol Cell       Date:  2018-05-17       Impact factor: 17.970

10.  Diapause-associated changes in the lipid and metabolite profiles of the Asian tiger mosquito, Aedes albopictus.

Authors:  Zachary A Batz; Peter A Armbruster
Journal:  J Exp Biol       Date:  2018-12-13       Impact factor: 3.312

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.