Literature DB >> 15617267

Live imaging of glucose homeostasis in nuclei of COS-7 cells.

Marcus Fehr1, Sylvie Lalonde, David W Ehrhardt, Wolf B Frommer.   

Abstract

Measuring subcellular glucose levels deep in tissues can provide new insights into compartmentalization and specialization of glucose metabolism among different cells. As shown previously, a FRET-based glucose-sensor consisting of two GFP-variants and the Escherichia coli periplasmic glucose/galactose binding protein was successfully expressed in the cytosol of COS7-cells and used to determine cytosolic glucose levels. Recording cytosolic fluorescence intensities in cells located in deeper layers of tissues is often difficult due to loss of signal intensity caused by effects of other cell layers on excitation and emission light. These interfering effects may be reduced by restricting fluorophores to occupy only a fraction of the assayed tissue volume. This can be accomplished by confining fluorophores to a sub-compartment of each cell in the tissue, such as the nucleus. The glucose-sensor was targeted to nuclei of COS7-cells. To determine, whether nuclear glucose levels can be used to track cytosolic changes, nuclear glucose concentrations were quantified as the cells were challenged with external glucose over a range of 0.5 to 10 mM and compared to cytosolic levels. Internal glucose concentrations in both compartments were similar, corresponding to approximately 50% of the external concentration. Taken together, these results indicate that nuclear glucose levels can be used to determine cytosolic levels indirectly, permitting more reliable quantification of fluorescence intensities and providing a tool for measurements not only in cell cultures but also in tissues.

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Year:  2004        PMID: 15617267     DOI: 10.1023/b:jofl.0000039347.94943.99

Source DB:  PubMed          Journal:  J Fluoresc        ISSN: 1053-0509            Impact factor:   2.217


  14 in total

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Journal:  Protein Sci       Date:  2002-11       Impact factor: 6.725

2.  Visualization of maltose uptake in living yeast cells by fluorescent nanosensors.

Authors:  Marcus Fehr; Wolf B Frommer; Sylvie Lalonde
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-03       Impact factor: 11.205

3.  Development of a fluorescent nanosensor for ribose.

Authors:  Ida Lager; Marcus Fehr; Wolf B Frommer; Sylvie Lalonde
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Review 4.  Functional specialization of different hepatocyte populations.

Authors:  K Jungermann; N Katz
Journal:  Physiol Rev       Date:  1989-07       Impact factor: 37.312

5.  Conformational states of the nuclear pore complex induced by depletion of nuclear Ca2+ stores.

Authors:  C Perez-Terzic; J Pyle; M Jaconi; L Stehno-Bittel; D E Clapham
Journal:  Science       Date:  1996-09-27       Impact factor: 47.728

Review 6.  Atomic structure and specificity of bacterial periplasmic receptors for active transport and chemotaxis: variation of common themes.

Authors:  F A Quiocho; P S Ledvina
Journal:  Mol Microbiol       Date:  1996-04       Impact factor: 3.501

7.  Random GFP::cDNA fusions enable visualization of subcellular structures in cells of Arabidopsis at a high frequency.

Authors:  S R Cutler; D W Ehrhardt; J S Griffitts; C R Somerville
Journal:  Proc Natl Acad Sci U S A       Date:  2000-03-28       Impact factor: 11.205

8.  Diffusion across the nuclear envelope inhibited by depletion of the nuclear Ca2+ store.

Authors:  L Stehno-Bittel; C Perez-Terzic; D E Clapham
Journal:  Science       Date:  1995-12-15       Impact factor: 47.728

9.  Functional significance of hepatocyte heterogeneity for glycolysis and gluconeogenesis.

Authors:  K Jungermann
Journal:  Pharmacol Biochem Behav       Date:  1983       Impact factor: 3.533

10.  Engineering the maltose binding protein for reagentless fluorescence sensing.

Authors:  G Gilardi; L Q Zhou; L Hibbert; A E Cass
Journal:  Anal Chem       Date:  1994-11-01       Impact factor: 6.986

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  33 in total

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Journal:  Nat Protoc       Date:  2011-10-27       Impact factor: 13.491

2.  Optical sensors for monitoring dynamic changes of intracellular metabolite levels in mammalian cells.

Authors:  Bi-Huei Hou; Hitomi Takanaga; Guido Grossmann; Li-Qing Chen; Xiao-Qing Qu; Alexander M Jones; Sylvie Lalonde; Oliver Schweissgut; Wolfgang Wiechert; Wolf B Frommer
Journal:  Nat Protoc       Date:  2011-10-27       Impact factor: 13.491

3.  New technologies for 21st century plant science.

Authors:  David W Ehrhardt; Wolf B Frommer
Journal:  Plant Cell       Date:  2012-02-24       Impact factor: 11.277

4.  Single-cell imaging tools for brain energy metabolism: a review.

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Journal:  Neurophotonics       Date:  2014-05-29       Impact factor: 3.593

Review 5.  A glucose-sensing contact lens: from bench top to patient.

Authors:  Ramachandram Badugu; Joseph R Lakowicz; Chris D Geddes
Journal:  Curr Opin Biotechnol       Date:  2005-02       Impact factor: 9.740

Review 6.  Genetically encoded sensors for metabolites.

Authors:  Karen Deuschle; Marcus Fehr; Melanie Hilpert; Ida Lager; Sylvie Lalonde; Loren L Looger; Sakiko Okumoto; Jörgen Persson; Anja Schmidt; Wolf B Frommer
Journal:  Cytometry A       Date:  2005-03       Impact factor: 4.355

7.  Construction and optimization of a family of genetically encoded metabolite sensors by semirational protein engineering.

Authors:  Karen Deuschle; Sakiko Okumoto; Marcus Fehr; Loren L Looger; Leonid Kozhukh; Wolf B Frommer
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8.  Genetically encoded FRET sensors for visualizing metabolites with subcellular resolution in living cells.

Authors:  Loren L Looger; Sylvie Lalonde; Wolf B Frommer
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Review 9.  Fluxomics: mass spectrometry versus quantitative imaging.

Authors:  Wolfgang Wiechert; Oliver Schweissgut; Hitomi Takanaga; Wolf B Frommer
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10.  Quantitative in vivo imaging of neuronal glucose concentrations with a genetically encoded fluorescence lifetime sensor.

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Journal:  J Neurosci Res       Date:  2019-05-20       Impact factor: 4.164

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