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Related Concept Videos

Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...

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Updated: Jun 21, 2026

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
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Reaching New Heights in Genetic Code Manipulation with High Throughput Screening.

Briana R Lino1, Sean J Williams1, Michelle E Castor1

  • 1Chemical and Biological Engineering Department, Tufts University, Medford, Massachusetts 02155, United States.

Chemical Reviews
|October 17, 2024
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Summary
This summary is machine-generated.

Genetic code expansion enables incorporating noncanonical amino acids (ncAAs) into proteins, enhancing their function. High-throughput screening accelerates the discovery of novel ncAA-containing proteins with diverse applications.

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Area of Science:

  • Biochemistry
  • Synthetic Biology
  • Protein Engineering

Background:

  • The 20 canonical amino acids limit protein chemical and physical properties.
  • Genetic code manipulation allows for the introduction of noncanonical amino acids (ncAAs) to enhance or alter protein functionality.

Purpose of the Study:

  • To review advances in strategies for introducing ncAAs into biosynthesized proteins.
  • To highlight the role of high-throughput screening in these advancements.

Main Methods:

  • Engineering aminoacyl-tRNA synthetases (aaRSs) and tRNAs with novel selection methods.
  • Improving protein translation machinery and cellular components for alternative genetic codes.
  • Utilizing discovery platforms for high-throughput screening of ncAA-containing proteins.

Main Results:

  • Novel selection methods improve ncAA incorporation efficiency and selectivity.
  • Engineering cellular components enhances ncAA incorporation.
  • Discovery platforms yield innovative binding ligands and enzymes with enhanced functionalities.
  • Advances have led to promising drug leads and biocatalysts.

Conclusions:

  • High-throughput methods significantly influence ncAA incorporation and applications by enabling the discovery of unexpected functionalities.
  • Future innovations in experimental techniques, computational protein design, and machine learning will further advance the field.