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Related Experiment Videos

In vitro selection of nucleic acids for diagnostic applications.

J Hesselberth1, M P Robertson, S Jhaveri

  • 1Department of Chemistry and Biochemistry, Institute for Cell and Molecular Biology, University of Texas at Austin, 78712, USA.

Journal of Biotechnology
|August 16, 2000
PubMed
Summary

Nucleic acid aptamers and aptazymes, generated through in vitro selection, offer new possibilities for molecular detection. These molecules can be developed into diagnostic assays and chip arrays for analyzing proteomes and metabolomes.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Biotechnology

Background:

  • In vitro selection yields nucleic acid-binding aptamers and catalytic ribozymes.
  • Current applications of selected nucleic acids are primarily academic.
  • Antibodies serve as 'universal receptors' in diagnostic assays.

Purpose of the Study:

  • To explore the potential applications of aptamers and aptazymes beyond academic research.
  • To highlight aptazymes as a novel class of reagents for direct molecular recognition to catalysis transduction.
  • To propose aptamers and aptazymes for developing advanced chip arrays for biological molecule detection.

Main Methods:

  • In vitro selection techniques for generating aptamers and ribozymes.
  • Conceptual framework for aptazyme function (molecular recognition to catalysis).

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  • Consideration of aptamer and aptazyme utility in diagnostic assays and chip arrays.
  • Main Results:

    • In vitro selection is effective in generating diverse aptamers and ribozymes.
    • Aptazymes offer direct transduction of molecular recognition to catalysis.
    • Aptamers and aptazymes show promise for detecting and quantifying molecules in biological systems.

    Conclusions:

    • Aptamers and aptazymes have significant potential for diagnostic applications, similar to antibodies.
    • Aptazymes represent a novel reagent class with direct signaling capabilities.
    • These nucleic acid-based tools could revolutionize the analysis of proteomes and metabolomes using chip arrays.