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Debugging Eukaryotic Genetic Code Expansion for Site-Specific Click-PAINT Super-Resolution Microscopy.

Ivana Nikić1,2, Gemma Estrada Girona1, Jun Hee Kang1

  • 1Structural and Computational Biology Unit, Cell Biology and Biophysics Unit, EMBL, Meyerhofstrasse 1, 69117, Heidelberg, Germany.

Angewandte Chemie (International Ed. in English)
|November 3, 2016
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Summary
This summary is machine-generated.

Genetic code expansion enables precise protein labeling for super-resolution microscopy. This improved system enhances efficiency and reduces background noise, advancing protein engineering in eukaryotes.

Keywords:
PAINTclick chemistrygenetic code expansionprotein labelingsuper-resolution microscopy

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Microscopy

Background:

  • Super-resolution microscopy (SRM) requires small, photostable fluorescent labels for proteins.
  • Genetic code expansion (GCE) allows incorporating noncanonical amino acids (ncAAs) for labeling.
  • Current GCE methods suffer from low ncAA incorporation and high background fluorescence, limiting SRM utility.

Purpose of the Study:

  • To enhance the efficiency and reduce background noise of GCE for SRM applications.
  • To enable visualization of low-abundance proteins in mammalian cells using GCE and SRM.
  • To improve protein engineering in eukaryotes via a reengineered GCE system.

Main Methods:

  • Redirecting the subcellular localization of a pyrrolysine-based GCE system.
  • Utilizing click chemistry for labeling with ncAAs.
  • Employing DNA-PAINT microscopy for high-resolution imaging.

Main Results:

  • Achieved residue-specific protein labeling with high precision.
  • Eliminated untargeted background fluorescence.
  • Substantially boosted protein expression yield.
  • Enabled visualization of low-abundance proteins in mammalian cells.

Conclusions:

  • The reengineered GCE system significantly improves protein labeling for SRM.
  • This approach offers a versatile, biocompatible, and potentially unbleachable labeling method.
  • The enhanced GCE system has broad implications for protein engineering in eukaryotes.