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Identification of permissive amber suppression sites for efficient non-canonical amino acid incorporation in mammalian cells
- Source :
- Nucleic Acids Research, 49 (11), Nucleic Acids Research
- Publication Year :
- 2021
- Publisher :
- Oxford University Press, 2021.
-
Abstract
- The genetic code of mammalian cells can be expanded to allow the incorporation of non-canonical amino acids (ncAAs) by suppressing in-frame amber stop codons (UAG) with an orthogonal pyrrolysyl-tRNA synthetase (PylRS)/tRNAPylCUA (PylT) pair. However, the feasibility of this approach is substantially hampered by unpredictable variations in incorporation efficiencies at different stop codon positions within target proteins. Here, we apply a proteomics-based approach to quantify ncAA incorporation rates at hundreds of endogenous amber stop codons in mammalian cells. With these data, we compute iPASS (Identification of Permissive Amber Sites for Suppression; available at www.bultmannlab.eu/tools/iPASS), a linear regression model to predict relative ncAA incorporation efficiencies depending on the surrounding sequence context. To verify iPASS, we develop a dual-fluorescence reporter for high-throughput flow-cytometry analysis that reproducibly yields context-specific ncAA incorporation efficiencies. We show that nucleotides up- and downstream of UAG synergistically influence ncAA incorporation efficiency independent of cell line and ncAA identity. Additionally, we demonstrate iPASS-guided optimization of ncAA incorporation rates by synonymous exchange of codons flanking the amber stop codon. This combination of in silico analysis followed by validation in living mammalian cells substantially simplifies identification as well as adaptation of sites within a target protein to confer high ncAA incorporation rates<br />Nucleic Acids Research, 49 (11)<br />ISSN:1362-4962<br />ISSN:0301-5610
- Subjects :
- Proteomics
AcademicSubjects/SCI00010
In silico
education
Context (language use)
Computational biology
Biology
010402 general chemistry
01 natural sciences
Protein–protein interaction
Cell Line
03 medical and health sciences
Mice
Genes, Reporter
Genetics
Animals
Humans
Nucleotide
Computer Simulation
Amino Acids
Codon
Embryonic Stem Cells
030304 developmental biology
chemistry.chemical_classification
0303 health sciences
Genetic code
Flow Cytometry
Stop codon
0104 chemical sciences
Amino acid
Narese/27
HEK293 Cells
chemistry
Genetic Code
Mutation
Codon, Terminator
Linear Models
Methods Online
Target protein
human activities
Subjects
Details
- Language :
- English
- ISSN :
- 13624962 and 03015610
- Database :
- OpenAIRE
- Journal :
- Nucleic Acids Research, 49 (11), Nucleic Acids Research
- Accession number :
- edsair.doi.dedup.....8383f3321e651ce275c848ff0f83eef6