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Types of Errors: Detection and Minimization01:12

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Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
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Photoinducible Oncometabolite Detection.

Rhushikesh A Kulkarni1, Chloe A Briney1, Daniel R Crooks2

  • 1Chemical Biology Laboratory, National Cancer Institute, NIH, Frederick, MD, 21702, USA.

Chembiochem : a European Journal of Chemical Biology
|October 26, 2018
PubMed
Summary
This summary is machine-generated.

Researchers developed a new chemical method to detect fumarate, an oncometabolite linked to cancer. This optical technique uses photoinducible precursors to visualize fumarate levels in cells, aiding cancer diagnosis and treatment strategies.

Keywords:
bioorthogonal chemistrycycloadditionepigeneticsfluorescent detectionmetabolism

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Area of Science:

  • Biochemistry
  • Chemical Biology
  • Cancer Metabolism

Background:

  • Dysregulated cellular metabolism fuels cancer progression by altering bioenergetic pathways and gene expression.
  • Limited optical methods exist for direct metabolite detection within cells, hindering cancer research.
  • Fumarate is an oncometabolite implicated in various cancers, but its detection is challenging.

Purpose of the Study:

  • To develop an optimized chemical approach for the direct optical detection of the oncometabolite fumarate in cells.
  • To create a sensitive and facile method for identifying dysregulated fumarate metabolism.
  • To facilitate new diagnostic and therapeutic strategies for cancer.

Main Methods:

  • Utilized diaryl tetrazoles as cell-permeable, photoinducible precursors to nitrileimines.
  • Employed 1,3-dipolar cycloaddition reactions between uncaged nitrileimines and endogenous fumarate.
  • Formed fluorescent pyrazoline cycloadducts for detection via intrinsic fluorescence.

Main Results:

  • Achieved highly sensitive detection of fumarate through photolytic uncaging of diaryl tetrazoles.
  • Demonstrated the ability to detect dysregulated fumarate metabolism using biochemical assays.
  • Successfully applied the method for intracellular imaging and flow cytometry analysis of fumarate.

Conclusions:

  • Developed a novel bioorthogonal chemistry approach for sensitive fumarate detection.
  • The method enables facile biological profiling, imaging, and diagnostics related to cancer metabolism.
  • This strategy offers a promising tool for advancing cancer research and clinical applications.