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Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
Published on: February 6, 2020
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Peptide Synthesis on a Next-Generation DNA Sequencing Platform
Nina Svensen1, Olve B Peersen2, Samie R Jaffrey3
1Department of Pharmacology, Weill Cornell Medical College, Cornell University, New York, NY, 10065, USA.
Chembiochem : a European Journal of Chemical Biology
|July 8, 2016
Summary
Researchers developed a novel method to display millions of peptides on solid surfaces using DNA sequencing technology. This approach enables high-throughput peptide characterization and discovery for various applications.
Area of Science:
- Biochemistry
- Molecular Biology
- Biotechnology
Background:
- High-throughput peptide display on solid surfaces is crucial for characterizing peptide function and binding.
- Existing methods face limitations in scale and efficiency for large-scale peptide analysis.
Purpose of the Study:
- To develop a novel method for generating large-scale peptide clusters on solid surfaces.
- To adapt DNA sequencing technology for peptide synthesis and display.
- To enable new possibilities for massively parallel peptide-based assays.
Main Methods:
- Modified Illumina flow cell primers with ribonucleotides for RNA synthesis.
- Utilized poliovirus polymerase 3D(pol) to create RNA clusters from DNA clusters.
- Employed mRNA display to synthesize flow-cell-tethered peptides from RNA aptamers.
Main Results:
- Successfully converted >10(7) DNA clusters into peptide clusters on an Illumina flow cell.
- Synthesized flow-cell-tethered peptides demonstrated selective binding to cognate antibodies.
- Validated the feasibility of templating peptide synthesis using DNA clusters.
Conclusions:
- The described method provides an innovative approach for peptide synthesis and display on solid surfaces.
- This technique offers new opportunities for high-throughput, massively parallel peptide-based assays.
- The method leverages existing DNA sequencing infrastructure for peptide discovery and characterization.
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