Peptide Barcodes for Next-Generation Protein Sequencing™

Barcoding applied sciences that benefit from the excessive data content material that may be encoded in oligonucleotide sequences have enabled a wide selection of purposes in biotechnology, significantly when coupled with next-generation DNA sequencing (NGS) to decode this data in a high-throughput, cost-effective method. For instance, DNA barcoding mixed with NGS read-out is employed to trace pattern identification in multiplexed libraries, present single-cell or spatial decision in transcriptomic research, and to trace the enrichment of genotypes in directed evolution strategies for protein engineering.^1–3 Peptide barcodes, with their capability to encode intensive data in brief sequences, simple genetic encoding, and chemical versatility, current cutting-edge alternatives. Functions of peptide barcoding that use mass spectrometry for decoding, similar to nanobody screening based mostly on flycodes,⁴ have been developed. Nonetheless, there stays a crucial want for accessible strategies to straight learn peptide barcode sequences and to determine peptide barcodes with single-molecule decision. Subsequent-generation protein sequencing™ (NGPS) on Quantum-Si’s Platinum^® instrument presents researchers the flexibility to straight sequence peptide barcodes with single-molecule decision for the primary time. This user-friendly benchtop platform combines the ease-of-access of DNA-based strategies with the thrilling, revolutionary capabilities of peptide-based barcoding approaches.

Discover Quantum-Si’s application note for standards on peptide barcode design, library technology strategies, and sensible examples of how peptide barcodes revolutionize protein screening, together with a 300-fold enrichment in nanobody abundance after optimistic choice utilizing peptide barcodes.

References:

1. Wang, Y. & Navin, N. E. Advances and Functions of Single-Cell Sequencing Applied sciences. Mol. Cell 58, 598–609 (2015).
2. Whitmann, B. J., Johnston, K. E., Almhjell, P. J. & Arnold, F. H. evSeq: Price-Efficient Amplicon Sequenc- ing of Each Variant in a Protein Li- brary. ACS Synth Biol 11, 1313–1324 (2022).
3. Baysoy, A., Bai, Z., Satija, R. & Fan, R. The technological panorama and purposes of single-cell multi-omics. Nat. Rev. Mol. Cell Biol. 24, 695–713 (2023).
4. Egloff, P. et al. Engineered Peptide Barcodes for In-Depth Analyses of Binding Protein Ensembles. Nat. Strategies 16, 421–428 (2019).