Process Automation toward Ultra-High-Throughput Screening of Combinatorial One-Bead-One-Compound (OBOC) Peptide Libraries
With an aim to develop peptide-based protein capture agents that can replace antibodies for in vitro diagnosis, an ultra-high-throughput screening strategy has been investigated by automating labor-intensive, time-consuming processes that are the construction of peptide libraries, sorting of positiv...
Gespeichert in:
Veröffentlicht in: | Journal of Laboratory Automation 2012-06, Vol.17 (3), p.186-200 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | With an aim to develop peptide-based protein capture agents that can replace antibodies for in vitro diagnosis, an ultra-high-throughput screening strategy has been investigated by automating labor-intensive, time-consuming processes that are the construction of peptide libraries, sorting of positive beads, and peptide sequencing through analysis of tandem mass spectrometry data. Although instruments for automation, such as peptide synthesizers and automatic bead sorters, have been used in some groups, the overall process has not been well optimized to minimize time, cost, and efforts, as well as to maximize product quality and performance. Herein we suggest and explore several solutions to the existing problems with the automation of the key processes. The overall process optimization has been done successfully in orchestration with the technologies such as rapid cleavage of peptides from beads and semiautomatic peptide sequencing that we have developed previously. This optimization allowed one-round screening, from peptide library construction to peptide sequencing, to be completed within 4 to 5 days. We also successfully identified a 6-mer ligand for carcinoembryonic antigen–cell adhesion molecule 5 (CEACAM 5) through three-round screenings, including one-round screening of a focused library. |
---|---|
ISSN: | 2211-0682 2472-6303 1540-2452 2211-0690 |
DOI: | 10.1177/2211068211433503 |