Literature DB >> 25855407

Exometabolomics and MSI: deconstructing how cells interact to transform their small molecule environment.

Leslie P Silva1, Trent R Northen2.   

Abstract

Metabolism is at the heart of many biotechnologies from biofuels to medical diagnostics. Metabolomic methods that provide glimpses into cellular metabolism have rapidly developed into a critical component of the biotechnological development process. Most metabolomics methods have focused on what is happening inside the cell. Equally important are the biochemical transformations of the cell, and their effect on other cells and their environment; the exometabolome. Exometabolomics is therefore gaining popularity as a robust approach for obtaining rich phenotypic data, and being used in bioprocessing and biofuel development. Mass spectrometry imaging approaches, including several nanotechnologies, provide complimentary information by localizing metabolic processes within complex biological matrices. Together, the two technologies can provide new insights into the metabolism and interactions of cells. Published by Elsevier Ltd.

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Year:  2015        PMID: 25855407     DOI: 10.1016/j.copbio.2015.03.015

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  17 in total

Review 1.  The Colorful World of Extracellular Electron Shuttles.

Authors:  Nathaniel R Glasser; Scott H Saunders; Dianne K Newman
Journal:  Annu Rev Microbiol       Date:  2017-07-21       Impact factor: 15.500

Review 2.  Profiling the metabolic signals involved in chemical communication between microbes using imaging mass spectrometry.

Authors:  Nikolas M Stasulli; Elizabeth A Shank
Journal:  FEMS Microbiol Rev       Date:  2016-11-01       Impact factor: 16.408

Review 3.  The microbial exometabolome: ecological resource and architect of microbial communities.

Authors:  Angela E Douglas
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-03-23       Impact factor: 6.237

4.  The role of competition versus cooperation in microbial community coalescence.

Authors:  Pablo Lechón-Alonso; Tom Clegg; Jacob Cook; Thomas P Smith; Samraat Pawar
Journal:  PLoS Comput Biol       Date:  2021-11-08       Impact factor: 4.475

Review 5.  Systems-Wide High-Dimensional Data Acquisition and Informatics Using Structural Mass Spectrometry Strategies.

Authors:  Stacy D Sherrod; John A McLean
Journal:  Clin Chem       Date:  2015-10-09       Impact factor: 8.327

6.  Net release and uptake of xenometabolites across intestinal, hepatic, muscle, and renal tissue beds in healthy conscious pigs.

Authors:  Kelly E Mercer; Gabriella A M Ten Have; Lindsay Pack; Renny Lan; Nicolaas E P Deutz; Sean H Adams; Brian D Piccolo
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2020-06-15       Impact factor: 4.052

7.  Exometabolite niche partitioning among sympatric soil bacteria.

Authors:  Richard Baran; Eoin L Brodie; Jazmine Mayberry-Lewis; Eric Hummel; Ulisses Nunes Da Rocha; Romy Chakraborty; Benjamin P Bowen; Ulas Karaoz; Hinsby Cadillo-Quiroz; Ferran Garcia-Pichel; Trent R Northen
Journal:  Nat Commun       Date:  2015-09-22       Impact factor: 14.919

8.  Dynamic substrate preferences predict metabolic properties of a simple microbial consortium.

Authors:  Onur Erbilgin; Benjamin P Bowen; Suzanne M Kosina; Stefan Jenkins; Rebecca K Lau; Trent R Northen
Journal:  BMC Bioinformatics       Date:  2017-01-23       Impact factor: 3.169

9.  Linking soil biology and chemistry in biological soil crust using isolate exometabolomics.

Authors:  Tami L Swenson; Ulas Karaoz; Joel M Swenson; Benjamin P Bowen; Trent R Northen
Journal:  Nat Commun       Date:  2018-01-02       Impact factor: 14.919

10.  Self-establishing communities enable cooperative metabolite exchange in a eukaryote.

Authors:  Kate Campbell; Jakob Vowinckel; Michael Mülleder; Silke Malmsheimer; Nicola Lawrence; Enrica Calvani; Leonor Miller-Fleming; Mohammad T Alam; Stefan Christen; Markus A Keller; Markus Ralser
Journal:  Elife       Date:  2015-10-26       Impact factor: 8.140

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