Literature DB >> 28064089

Frontiers of high-throughput metabolomics.

Mattia Zampieri1, Karthik Sekar1, Nicola Zamboni1, Uwe Sauer2.   

Abstract

Large scale metabolomics studies are increasingly used to investigate genetically different individuals and time-dependent responses to environmental stimuli. New mass spectrometric approaches with at least an order of magnitude more rapid analysis of small molecules within the cell's metabolome are now paving the way towards true high-throughput metabolomics, opening new opportunities in systems biology, functional genomics, drug discovery, and personalized medicine. Here we discuss the impact and advantages of the progress made in profiling large cohorts and dynamic systems with high temporal resolution and automated sampling. In both areas, high-throughput metabolomics is gaining traction because it can generate hypotheses on molecular mechanisms and metabolic regulation. We conclude with the current status of the less mature single cell analyses where high-throughput analytics will be indispensable to resolve metabolic heterogeneity in populations and compartmentalization of metabolites.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2017        PMID: 28064089     DOI: 10.1016/j.cbpa.2016.12.006

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  45 in total

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Authors:  Rachel Culp-Hill; Julie A Reisz; Kirk C Hansen; Angelo D'Alessandro
Journal:  Rapid Commun Mass Spectrom       Date:  2017-12-15       Impact factor: 2.419

5.  Data processing, multi-omic pathway mapping, and metabolite activity analysis using XCMS Online.

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7.  Characterization of rapid extraction protocols for high-throughput metabolomics.

Authors:  Sarah Gehrke; Julie A Reisz; Travis Nemkov; Kirk C Hansen; Angelo D'Alessandro
Journal:  Rapid Commun Mass Spectrom       Date:  2017-09-15       Impact factor: 2.419

8.  Discovery of potential biomarkers for human atherosclerotic abdominal aortic aneurysm through untargeted metabolomics and transcriptomics.

Authors:  Lei Ji; Siliang Chen; Guangchao Gu; Wei Wang; Jinrui Ren; Fang Xu; Fangda Li; Jianqiang Wu; Dan Yang; Yuehong Zheng
Journal:  J Zhejiang Univ Sci B       Date:  2021 Sept 15       Impact factor: 3.066

9.  Linking Genomic and Metabolomic Natural Variation Uncovers Nematode Pheromone Biosynthesis.

Authors:  Jan M Falcke; Neelanjan Bose; Alexander B Artyukhin; Christian Rödelsperger; Gabriel V Markov; Joshua J Yim; Dominik Grimm; Marc H Claassen; Oishika Panda; Joshua A Baccile; Ying K Zhang; Henry H Le; Dino Jolic; Frank C Schroeder; Ralf J Sommer
Journal:  Cell Chem Biol       Date:  2018-05-17       Impact factor: 8.116

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Authors:  Yann Ilboudo; Melanie E Garrett; Pablo Bartolucci; Carlo Brugnara; Clary B Clish; Joel N Hirschhorn; Frédéric Galactéros; Allison E Ashley-Koch; Marilyn J Telen; Guillaume Lettre
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