Literature DB >> 27900235

Technical Challenges in Mass Spectrometry-Based Metabolomics.

Fumio Matsuda1.   

Abstract

Metabolomics is a strategy for analysis, and quantification of the complete collection of metabolites present in biological samples. Metabolomics is an emerging area of scientific research because there are many application areas including clinical, agricultural, and medical researches for the biomarker discovery and the metabolic system analysis by employing widely targeted analysis of a few hundred preselected metabolites from 10-100 biological samples. Further improvement in technologies of mass spectrometry in terms of experimental design for larger scale analysis, computational methods for tandem mass spectrometry-based elucidation of metabolites, and specific instrumentation for advanced bioanalysis will enable more comprehensive metabolome analysis for exploring the hidden secrets of metabolism.

Keywords:  absolute quantification; experimental design; in silico fragmentation; metabolomics; small molecule identification

Year:  2016        PMID： 27900235      PMCID： PMC5121192          DOI： 10.5702/massspectrometry.S0052

Source DB:  PubMed          Journal:  Mass Spectrom (Tokyo)        ISSN： 2186-5116


  102 in total

Review 1.  Liquid chromatography-mass spectrometry based global metabolite profiling: a review.

Authors:  Georgios A Theodoridis; Helen G Gika; Elizabeth J Want; Ian D Wilson
Journal:  Anal Chim Acta       Date:  2011-11-04       Impact factor: 6.558

2.  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

3.  High-Throughput Microbore UPLC-MS Metabolic Phenotyping of Urine for Large-Scale Epidemiology Studies.

Authors:  Nicola Gray; Matthew R Lewis; Robert S Plumb; Ian D Wilson; Jeremy K Nicholson
Journal:  J Proteome Res       Date:  2015-05-11       Impact factor: 4.466

4.  MetFusion: integration of compound identification strategies.

Authors:  Michael Gerlich; Steffen Neumann
Journal:  J Mass Spectrom       Date:  2013-03       Impact factor: 1.982

5.  Metabolite identification and quantitation in LC-MS/MS-based metabolomics.

Authors:  Jun Feng Xiao; Bin Zhou; Habtom W Ressom
Journal:  Trends Analyt Chem       Date:  2012-02-01       Impact factor: 12.296

6.  In silico fragmentation for computer assisted identification of metabolite mass spectra.

Authors:  Sebastian Wolf; Stephan Schmidt; Matthias Müller-Hannemann; Steffen Neumann
Journal:  BMC Bioinformatics       Date:  2010-03-22       Impact factor: 3.169

7.  MetaboAnalyst 3.0--making metabolomics more meaningful.

Authors:  Jianguo Xia; Igor V Sinelnikov; Beomsoo Han; David S Wishart
Journal:  Nucleic Acids Res       Date:  2015-04-20       Impact factor: 16.971

8.  Molar-based targeted metabolic profiling of cyanobacterial strains with potential for biological production.

Authors:  Yudai Dempo; Erika Ohta; Yasumune Nakayama; Takeshi Bamba; Eiichiro Fukusaki
Journal:  Metabolites       Date:  2014-06-20

9.  A novel serum metabolomics-based diagnostic approach for colorectal cancer.

Authors:  Shin Nishiumi; Takashi Kobayashi; Atsuki Ikeda; Tomoo Yoshie; Megumi Kibi; Yoshihiro Izumi; Tatsuya Okuno; Nobuhide Hayashi; Seiji Kawano; Tadaomi Takenawa; Takeshi Azuma; Masaru Yoshida
Journal:  PLoS One       Date:  2012-07-11       Impact factor: 3.240

10.  Metabolite annotations based on the integration of mass spectral information.

Authors:  Yoko Iijima; Yukiko Nakamura; Yoshiyuki Ogata; Ken'ichi Tanaka; Nozomu Sakurai; Kunihiro Suda; Tatsuya Suzuki; Hideyuki Suzuki; Koei Okazaki; Masahiko Kitayama; Shigehiko Kanaya; Koh Aoki; Daisuke Shibata
Journal:  Plant J       Date:  2008-02-07       Impact factor: 6.417
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  9 in total

1.  Perspective: Advancing Understanding of Population Nutrient-Health Relations via Metabolomics and Precision Phenotypes.

Authors:  Stephanie Andraos; Melissa Wake; Richard Saffery; David Burgner; Martin Kussmann; Justin O'Sullivan
Journal:  Adv Nutr       Date:  2019-11-01       Impact factor: 8.701

2.  Opportunities and Limitations for Untargeted Mass Spectrometry Metabolomics to Identify Biologically Active Constituents in Complex Natural Product Mixtures.

Authors:  Lindsay K Caesar; Joshua J Kellogg; Olav M Kvalheim; Nadja B Cech
Journal:  J Nat Prod       Date:  2019-03-07       Impact factor: 4.050

3.  Hierarchical cluster analysis of technical replicates to identify interferents in untargeted mass spectrometry metabolomics.

Authors:  Lindsay K Caesar; Olav M Kvalheim; Nadja B Cech
Journal:  Anal Chim Acta       Date:  2018-03-19       Impact factor: 6.558

Review 4.  Nanoparticle-based laser desorption/ionization mass spectrometric analysis of drugs and metabolites.

Authors:  Han-Wei Chu; Binesh Unnikrishnan; Anisha Anand; Ju-Yi Mao; Chih-Ching Huang
Journal:  J Food Drug Anal       Date:  2018-08-14       Impact factor: 6.157

5.  MetFID: artificial neural network-based compound fingerprint prediction for metabolite annotation.

Authors:  Ziling Fan; Amber Alley; Kian Ghaffari; Habtom W Ressom
Journal:  Metabolomics       Date:  2020-09-30       Impact factor: 4.747

Review 6.  Metabolomic Profiling for Diagnosis and Prognostication in Surgery: A Scoping Review.

Authors:  Tabassum A Khan; Tyler J Loftus; Amanda C Filiberto; Tezcan Ozrazgat-Baslanti; Matthew M Ruppert; Sabyasachi Bandyopadhyay; Evagelia C Laiakis; Dean J Arnaoutakis; Azra Bihorac
Journal:  Ann Surg       Date:  2021-02-01       Impact factor: 13.787

7.  The impact of genome variation and diet on the metabolic phenotype and microbiome composition of Drosophila melanogaster.

Authors:  Lisa Jehrke; Fiona A Stewart; Andrea Droste; Mathias Beller
Journal:  Sci Rep       Date:  2018-04-18       Impact factor: 4.379

8.  Encoding information in synthetic metabolomes.

Authors:  Eamonn Kennedy; Christopher E Arcadia; Joseph Geiser; Peter M Weber; Christopher Rose; Brenda M Rubenstein; Jacob K Rosenstein
Journal:  PLoS One       Date:  2019-07-03       Impact factor: 3.240

Review 9.  HR-MAS NMR Applications in Plant Metabolomics.

Authors:  Dieuwertje Augustijn; Huub J M de Groot; A Alia
Journal:  Molecules       Date:  2021-02-10       Impact factor: 4.411
  9 in total

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