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Related Experiment Videos

Genetically encoded sensors for metabolites.

Karen Deuschle1, Marcus Fehr, Melanie Hilpert

  • 1Carnegie Institution of Washington, Plant Biology, Stanford, California 94305-4101, USA.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|February 3, 2005
PubMed
Summary

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Researchers developed genetically encoded nanosensors to measure metabolite levels in real-time within cells. These tools enable detailed spatial and temporal analysis, advancing functional genomics and drug screening.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Systems Biology

Background:

  • Metabolomics, the analysis of metabolite changes, is advancing with mass spectrometry.
  • Functional genomics and protein analysis have elucidated gene product functions.
  • A gap exists in understanding spatial and temporal metabolite distribution at cellular/subcellular levels, especially in multicellular organisms.

Purpose of the Study:

  • To develop genetically encoded nanosensors for real-time determination of cytosolic and subcellular metabolite levels.
  • To provide a basic toolbox for in vivo metabolite analysis.

Main Methods:

  • Development of genetically encoded nanosensors for various metabolites.
  • Utilizing fluorescence microscopy for real-time imaging.

Related Experiment Videos

  • In vitro and in vivo testing of sensor prototypes.

    • Main Results:

    • Successfully developed and tested nanosensor prototypes.
    • Demonstrated in vitro and in vivo measurement of sugar levels in fungal and animal cells.

    Conclusions:

    • Future work includes expanding the sensor repertoire using bacterial periplasmic binding proteins and computational design.
    • The nanosensor toolbox will enable four-dimensional imaging of metabolite distribution.
    • Applications include functional genomics, high-throughput drug screening, metabolic modeling, and cell-cell interaction analysis.