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Updated: Dec 7, 2025

RNA-based Reprogramming of Human Primary Fibroblasts into Induced Pluripotent Stem Cells
Published on: November 26, 2018
Advances in in vitro genetic code reprogramming in 2014-2017.
Takayuki Katoh1,2, Toby Passioura1, Hiroaki Suga1
1Department of Chemistry, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Researchers are expanding the use of non-proteinogenic amino acids in peptides. New methods increase the number of simultaneously usable amino acids and improve the incorporation of challenging substrates like d-amino acids.
Area of Science:
- Biochemistry
- Molecular Biology
- Synthetic Biology
Background:
- Genetic code manipulation allows introducing non-proteinogenic amino acids into peptides via translation.
- Current methods have limitations in the number of simultaneously usable amino acids and substrate compatibility.
- Difficult amino acid substrates (e.g., d-amino acids, β-amino acids) are inefficiently incorporated compared to l-α-amino acids.
Purpose of the Study:
- To address limitations in the number and types of amino acids incorporated into peptides.
- To explore novel methodologies for expanding the genetic code and improving translation efficiency.
- To enhance the incorporation of challenging amino acid substrates into peptides.
Main Methods:
- Artificial division of codon boxes to expand the number of available codons.
- Development of orthogonal ribosomal translation systems to duplicate the codon table.
- Engineering novel artificial tRNAs to enhance the incorporation of difficult amino acid substrates.
Main Results:
- Demonstrated methodologies to increase the diversity of amino acids in peptides.
- Showcased systems capable of utilizing a broader range of amino acid substrates.
- Improved efficiency of incorporating non-standard amino acids, including d- and β-amino acids.
Conclusions:
- Recent advancements significantly expand the possibilities for incorporating non-proteinogenic amino acids into peptides.
- These methods overcome previous limitations in simultaneous amino acid usage and substrate compatibility.
- The developed strategies offer powerful tools for peptide engineering and synthetic biology applications.
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