Literature DB >> 26000853

Defining the metabolome: size, flux, and regulation.

Nicola Zamboni1, Alan Saghatelian2, Gary J Patti3.   

Abstract

Renewed interest in metabolic research over the last two decades has inspired an explosion of technological developments for studying metabolism. At the forefront of methodological innovation is an approach referred to as "untargeted" or "discovery" metabolomics. The experimental objective of this technique is to comprehensively measure the entire metabolome, which constitutes a largely undefined set of molecules. Given its potential comprehensive coverage, untargeted metabolomics is often the first choice of experiments for investigators pursuing a metabolic research question. It is important to recognize, however, that untargeted metabolomics may not always be the optimal experimental approach. Conventionally, untargeted metabolomics only provides information about relative differences in metabolite pool sizes. Therefore, depending on the specific scientific question at hand, a complementary approach involving stable isotopes (such as metabolic flux analysis) may be better suited to provide biological insights. Unlike untargeted metabolomics, stable-isotope methods can provide information about differences in reaction rates.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26000853      PMCID: PMC4831058          DOI: 10.1016/j.molcel.2015.04.021

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  51 in total

1.  Differential metabolic networks unravel the effects of silent plant phenotypes.

Authors:  Wolfram Weckwerth; Marcelo Ehlers Loureiro; Kathrin Wenzel; Oliver Fiehn
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-10       Impact factor: 11.205

2.  KEGG: Kyoto Encyclopedia of Genes and Genomes.

Authors:  H Ogata; S Goto; K Sato; W Fujibuchi; H Bono; M Kanehisa
Journal:  Nucleic Acids Res       Date:  1999-01-01       Impact factor: 16.971

3.  Cloning of a phosphatidic acid-preferring phospholipase A1 from bovine testis.

Authors:  H N Higgs; M H Han; G E Johnson; J A Glomset
Journal:  J Biol Chem       Date:  1998-03-06       Impact factor: 5.157

4.  The hereditary spastic paraplegia-related enzyme DDHD2 is a principal brain triglyceride lipase.

Authors:  Jordon M Inloes; Ku-Lung Hsu; Melissa M Dix; Andreu Viader; Kim Masuda; Thais Takei; Malcolm R Wood; Benjamin F Cravatt
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-29       Impact factor: 11.205

5.  NAD captureSeq indicates NAD as a bacterial cap for a subset of regulatory RNAs.

Authors:  Hana Cahová; Marie-Luise Winz; Katharina Höfer; Gabriele Nübel; Andres Jäschke
Journal:  Nature       Date:  2014-12-22       Impact factor: 49.962

6.  Pyruvate kinase isoform expression alters nucleotide synthesis to impact cell proliferation.

Authors:  Sophia Y Lunt; Vinayak Muralidhar; Aaron M Hosios; William J Israelsen; Dan Y Gui; Lauren Newhouse; Martin Ogrodzinski; Vivian Hecht; Kali Xu; Paula N Marín Acevedo; Daniel P Hollern; Gary Bellinger; Talya L Dayton; Stefan Christen; Ilaria Elia; Anh T Dinh; Gregory Stephanopoulos; Scott R Manalis; Michael B Yaffe; Eran R Andrechek; Sarah-Maria Fendt; Matthew G Vander Heiden
Journal:  Mol Cell       Date:  2014-12-04       Impact factor: 17.970

7.  Noninvasive urinary metabolomic profiling identifies diagnostic and prognostic markers in lung cancer.

Authors:  Ewy A Mathé; Andrew D Patterson; Majda Haznadar; Soumen K Manna; Kristopher W Krausz; Elise D Bowman; Peter G Shields; Jeffrey R Idle; Philip B Smith; Katsuhiro Anami; Dickran G Kazandjian; Emmanuel Hatzakis; Frank J Gonzalez; Curtis C Harris
Journal:  Cancer Res       Date:  2014-04-15       Impact factor: 12.701

8.  Discovery of a class of endogenous mammalian lipids with anti-diabetic and anti-inflammatory effects.

Authors:  Mark M Yore; Ismail Syed; Pedro M Moraes-Vieira; Tejia Zhang; Mark A Herman; Edwin A Homan; Rajesh T Patel; Jennifer Lee; Shili Chen; Odile D Peroni; Abha S Dhaneshwar; Ann Hammarstedt; Ulf Smith; Timothy E McGraw; Alan Saghatelian; Barbara B Kahn
Journal:  Cell       Date:  2014-10-09       Impact factor: 41.582

9.  Quantitative metabolome analysis using capillary electrophoresis mass spectrometry.

Authors:  Tomoyoshi Soga; Yoshiaki Ohashi; Yuki Ueno; Hisako Naraoka; Masaru Tomita; Takaaki Nishioka
Journal:  J Proteome Res       Date:  2003 Sep-Oct       Impact factor: 4.466

10.  Quantitative flux analysis reveals folate-dependent NADPH production.

Authors:  Jing Fan; Jiangbin Ye; Jurre J Kamphorst; Tomer Shlomi; Craig B Thompson; Joshua D Rabinowitz
Journal:  Nature       Date:  2014-05-04       Impact factor: 49.962

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  83 in total

1.  Metabolite Structure Assignment Using In Silico NMR Techniques.

Authors:  Susanta Das; Arthur S Edison; Kenneth M Merz
Journal:  Anal Chem       Date:  2020-07-15       Impact factor: 6.986

2.  A three-minute method for high-throughput quantitative metabolomics and quantitative tracing experiments of central carbon and nitrogen pathways.

Authors:  Travis Nemkov; Kirk C Hansen; Angelo D'Alessandro
Journal:  Rapid Commun Mass Spectrom       Date:  2017-04-30       Impact factor: 2.419

Review 3.  Metabolomics: A Primer.

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

Review 4.  Metabolomics and Metabolic Diseases: Where Do We Stand?

Authors:  Christopher B Newgard
Journal:  Cell Metab       Date:  2016-10-27       Impact factor: 27.287

5.  Metformin Targets Central Carbon Metabolism and Reveals Mitochondrial Requirements in Human Cancers.

Authors:  Xiaojing Liu; Iris L Romero; Lacey M Litchfield; Ernst Lengyel; Jason W Locasale
Journal:  Cell Metab       Date:  2016-10-13       Impact factor: 27.287

6.  Mass spectrometry imaging goes three dimensional.

Authors:  Klaus Dreisewerd; Joanne Y Yew
Journal:  Nat Methods       Date:  2017-11-30       Impact factor: 28.547

7.  Tracing insights into human metabolism using chemical engineering approaches.

Authors:  Thekla Cordes; Christian M Metallo
Journal:  Curr Opin Chem Eng       Date:  2016-09-10       Impact factor: 5.163

8.  Metabolomics as an Emerging Tool in the Search for Astrobiologically Relevant Biomarkers.

Authors:  Lauren Seyler; Elizabeth B Kujawinski; Armando Azua-Bustos; Michael D Lee; Jeffrey Marlow; Scott M Perl; Henderson James Cleaves Ii
Journal:  Astrobiology       Date:  2020-06-17       Impact factor: 4.335

Review 9.  An overview of renal metabolomics.

Authors:  Sahir Kalim; Eugene P Rhee
Journal:  Kidney Int       Date:  2016-09-28       Impact factor: 10.612

10.  Metabolomics: beyond biomarkers and towards mechanisms.

Authors:  Caroline H Johnson; Julijana Ivanisevic; Gary Siuzdak
Journal:  Nat Rev Mol Cell Biol       Date:  2016-03-16       Impact factor: 94.444

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