Literature DB >> 20934866

Single cell metabolomics.

Matthias Heinemann1, Renato Zenobi.   

Abstract

Recent discoveries suggest that cells of a clonal population often display multiple metabolic phenotypes at the same time. Motivated by the success of mass spectrometry (MS) in the investigation of population-level metabolomics, the analytical community has initiated efforts towards MS-based single cell metabolomics to investigate metabolic phenomena that are buried under the population average. Here, we review the current approaches and illustrate their advantages and disadvantages. Because of significant advances in the field, different technologies are now at the verge of generating data that are useful for exploring and investigating metabolic heterogeneity.
Copyright © 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20934866     DOI: 10.1016/j.copbio.2010.09.008

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


  33 in total

1.  Metabolic cytometry: capillary electrophoresis with two-color fluorescence detection for the simultaneous study of two glycosphingolipid metabolic pathways in single primary neurons.

Authors:  David C Essaka; Jillian Prendergast; Richard B Keithley; Monica M Palcic; Ole Hindsgaul; Ronald L Schnaar; Norman J Dovichi
Journal:  Anal Chem       Date:  2012-03-07       Impact factor: 6.986

Review 2.  A functional perspective on phenotypic heterogeneity in microorganisms.

Authors:  Martin Ackermann
Journal:  Nat Rev Microbiol       Date:  2015-07-06       Impact factor: 60.633

Review 3.  Emergent Properties of Microbial Activity in Heterogeneous Soil Microenvironments: Different Research Approaches Are Slowly Converging, Yet Major Challenges Remain.

Authors:  Philippe C Baveye; Wilfred Otten; Alexandra Kravchenko; María Balseiro-Romero; Éléonore Beckers; Maha Chalhoub; Christophe Darnault; Thilo Eickhorst; Patricia Garnier; Simona Hapca; Serkan Kiranyaz; Olivier Monga; Carsten W Mueller; Naoise Nunan; Valérie Pot; Steffen Schlüter; Hannes Schmidt; Hans-Jörg Vogel
Journal:  Front Microbiol       Date:  2018-08-27       Impact factor: 5.640

4.  High-resolution metabolic mapping of cell types in plant roots.

Authors:  Arieh Moussaieff; Ilana Rogachev; Leonid Brodsky; Sergey Malitsky; Ted W Toal; Heather Belcher; Merav Yativ; Siobhan M Brady; Philip N Benfey; Asaph Aharoni
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-08       Impact factor: 11.205

Review 5.  ERK1/2 and p38α/β signaling in tumor cell quiescence: opportunities to control dormant residual disease.

Authors:  Maria Soledad Sosa; Alvaro Avivar-Valderas; Paloma Bragado; Huei-Chi Wen; Julio A Aguirre-Ghiso
Journal:  Clin Cancer Res       Date:  2011-06-14       Impact factor: 12.531

6.  Impact of CO2/HCO3 - Availability on Anaplerotic Flux in Pyruvate Dehydrogenase Complex-Deficient Corynebacterium glutamicum Strains.

Authors:  Aileen Krüger; Johanna Wiechert; Cornelia Gätgens; Tino Polen; Regina Mahr; Julia Frunzke
Journal:  J Bacteriol       Date:  2019-09-20       Impact factor: 3.490

Review 7.  Progress toward single cell metabolomics.

Authors:  Stanislav S Rubakhin; Eric J Lanni; Jonathan V Sweedler
Journal:  Curr Opin Biotechnol       Date:  2012-12-13       Impact factor: 9.740

8.  Mass spectrometry-based metabolomics of single yeast cells.

Authors:  Alfredo J Ibáñez; Stephan R Fagerer; Anna Mareike Schmidt; Pawel L Urban; Konstantins Jefimovs; Philipp Geiger; Reinhard Dechant; Matthias Heinemann; Renato Zenobi
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-13       Impact factor: 11.205

9.  Integrated metabolite and gene expression profiles identify lipid biomarkers associated with progression of hepatocellular carcinoma and patient outcomes.

Authors:  Anuradha Budhu; Stephanie Roessler; Xuelian Zhao; Zhipeng Yu; Marshonna Forgues; Junfang Ji; Edward Karoly; Lun-Xiu Qin; Qing-Hai Ye; Hu-Liang Jia; Jia Fan; Hui-Chuan Sun; Zhao-You Tang; Xin Wei Wang
Journal:  Gastroenterology       Date:  2013-01-31       Impact factor: 22.682

10.  Analytical strategies for studying stem cell metabolism.

Authors:  James M Arnold; William T Choi; Arun Sreekumar; Mirjana Maletić-Savatić
Journal:  Front Biol (Beijing)       Date:  2015-04
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