Literature DB >> 26400772

Can we predict the intracellular metabolic state of a cell based on extracellular metabolite data?

Ninna Granucci1, Farhana R Pinu2, Ting-Li Han1, Silas G Villas-Boas1.   

Abstract

The analysis of extracellular metabolites presents many technical advantages over the analysis of intracellular compounds, which made this approach very popular in recent years as a high-throughput tool to assess the metabolic state of microbial cells. However, very little effort has been made to determine the actual relationship between intracellular and extracellular metabolite levels. The secretion of intracellular metabolites has been traditionally interpreted as a consequence of an intracellular metabolic overflow, which is based on the premise that for a metabolite to be secreted, it must be over-produced inside the cell. Therefore, we expect to find a secreted metabolite at increased levels inside the cells. Here we present a time-series metabolomics study of Saccharomyces cerevisiae growing on a glucose-limited chemostat with parallel measurements of intra- and extracellular metabolites. Although most of the extracellular metabolites were also detected in the intracellular samples and showed a typical metabolic overflow behaviour, we demonstrate that the secretion of many metabolites could not be explained by the metabolic overflow theory.

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Year:  2015        PMID: 26400772     DOI: 10.1039/c5mb00292c

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  7 in total

1.  Juice Index: an integrated Sauvignon blanc grape and wine metabolomics database shows mainly seasonal differences.

Authors:  Farhana R Pinu; Sergey Tumanov; Claire Grose; Victoria Raw; Abby Albright; Lily Stuart; Silas G Villas-Boas; Damian Martin; Roger Harker; Marc Greven
Journal:  Metabolomics       Date:  2019-01-02       Impact factor: 4.290

Review 2.  Review of recent developments in GC-MS approaches to metabolomics-based research.

Authors:  David J Beale; Farhana R Pinu; Konstantinos A Kouremenos; Mahesha M Poojary; Vinod K Narayana; Berin A Boughton; Komal Kanojia; Saravanan Dayalan; Oliver A H Jones; Daniel A Dias
Journal:  Metabolomics       Date:  2018-11-17       Impact factor: 4.290

Review 3.  Metabolite secretion in microorganisms: the theory of metabolic overflow put to the test.

Authors:  Farhana R Pinu; Ninna Granucci; James Daniell; Ting-Li Han; Sonia Carneiro; Isabel Rocha; Jens Nielsen; Silas G Villas-Boas
Journal:  Metabolomics       Date:  2018-03-02       Impact factor: 4.290

Review 4.  Extracellular Microbial Metabolomics: The State of the Art.

Authors:  Farhana R Pinu; Silas G Villas-Boas
Journal:  Metabolites       Date:  2017-08-22

5.  The Antialgal Mechanism of Luteolin-7-O-Glucuronide on Phaeocystis globosa by Metabolomics Analysis.

Authors:  Jingyi Zhu; Yeyin Yang; Shunshan Duan; Dong Sun
Journal:  Int J Environ Res Public Health       Date:  2019-09-03       Impact factor: 3.390

6.  Dietary Omega-3 Polyunsaturated Fatty-Acid Supplementation Upregulates Protective Cellular Pathways in Patients with Type 2 Diabetes Exhibiting Improvement in Painful Diabetic Neuropathy.

Authors:  Alfonso M Durán; W Lawrence Beeson; Anthony Firek; Zaida Cordero-MacIntyre; Marino De León
Journal:  Nutrients       Date:  2022-02-11       Impact factor: 5.717

7.  Estimation of time-varying growth, uptake and excretion rates from dynamic metabolomics data.

Authors:  Eugenio Cinquemani; Valérie Laroute; Muriel Cocaign-Bousquet; Hidde de Jong; Delphine Ropers
Journal:  Bioinformatics       Date:  2017-07-15       Impact factor: 6.937

  7 in total

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