Literature DB >> 23906926

Towards high resolution analysis of metabolic flux in cells and tissues.

James K Sims1, Sara Manteiga, Kyongbum Lee.   

Abstract

Metabolism extracts chemical energy from nutrients, uses this energy to form building blocks for biosynthesis, and interconverts between various small molecules that coordinate the activities of cellular pathways. The metabolic state of a cell is increasingly recognized to determine the phenotype of not only metabolically active cell types such as liver, muscle, and adipose, but also other specialized cell types such as neurons and immune cells. This review focuses on methods to quantify intracellular reaction flux as a measure of cellular metabolic activity, with emphasis on studies involving cells of mammalian tissue. Two key areas are highlighted for future development, single cell metabolomics and noninvasive imaging, which could enable spatiotemporally resolved analysis and thereby overcome issues of heterogeneity, a distinctive feature of tissue metabolism.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23906926      PMCID: PMC3783555          DOI: 10.1016/j.copbio.2013.07.001

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


  61 in total

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2.  Flux profile and modularity analysis of time-dependent metabolic changes of de novo adipocyte formation.

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4.  Nonhomogeneous labeling of liver mitochondrial acetyl-CoA.

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6.  Expanding the use of fluorogenic enzyme reporter substrates to imaging metabolic flux changes: the activity measurement of 5α-steroid reductase in intact mammalian cells.

Authors:  Pamela C Rodriguez; Dominic J Yee; Dalibor Sames
Journal:  ACS Chem Biol       Date:  2010-11-19       Impact factor: 5.100

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8.  Cerebral metabolic compartmentation. Estimation of glucose flux via pyruvate carboxylase/pyruvate dehydrogenase by 13C NMR isotopomer analysis of D-[U-13C]glucose metabolites.

Authors:  A Lapidot; A Gopher
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9.  Characterizing the metabolic heterogeneity in human breast cancer xenografts by 3D high resolution fluorescence imaging.

Authors:  He N Xu; Gang Zheng; Julia Tchou; Shoko Nioka; Lin Z Li
Journal:  Springerplus       Date:  2013-02-28

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Journal:  Biotechnol Bioeng       Date:  2011-09-09       Impact factor: 4.530

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  3 in total

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Journal:  Cell Mol Life Sci       Date:  2017-07-01       Impact factor: 9.261

2.  Data Reduction Approaches for Dissecting Transcriptional Effects on Metabolism.

Authors:  Kevin Schwahn; Zoran Nikoloski
Journal:  Front Plant Sci       Date:  2018-04-20       Impact factor: 5.753

3.  Development of an LC-MS Targeted Metabolomics Methodology to Study Proline Metabolism in Mammalian Cell Cultures.

Authors:  Agnieszka Klupczynska; Magdalena Misiura; Wojciech Miltyk; Ilona Oscilowska; Jerzy Palka; Zenon J Kokot; Jan Matysiak
Journal:  Molecules       Date:  2020-10-12       Impact factor: 4.411

  3 in total

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