Cha Junhoe, Lim Jaehong, Zheng Yiran, Tan Sylvia, Ang Yi Li, Oon Jessica, Ang Mei Wei, Ling Jingjing, Bode Marcus, Lee Su Seong
Institute of Bioengineering and Nanotechnology, Singapore.
J Lab Autom. 2012 Jun;17(3):186-200. doi: 10.1177/2211068211433503. Epub 2012 Feb 14.
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.
为了开发能够替代抗体用于体外诊断的基于肽的蛋白质捕获剂,人们通过自动化构建肽库、分选阳性磁珠以及通过串联质谱数据分析进行肽测序等劳动强度大、耗时的过程,研究了一种超高通量筛选策略。尽管一些研究小组已经使用了自动化仪器,如肽合成仪和自动磁珠分选仪,但整个过程尚未得到很好的优化,以尽量减少时间、成本和工作量,同时最大化产品质量和性能。在此,我们提出并探索了几种解决关键过程自动化现有问题的方案。通过与我们之前开发的从磁珠上快速切割肽段和半自动肽测序等技术协同操作,成功完成了整个过程的优化。这种优化使得从肽库构建到肽测序的一轮筛选能够在4至5天内完成。我们还通过三轮筛选,包括对聚焦文库的一轮筛选,成功鉴定出一种针对癌胚抗原细胞粘附分子5(CEACAM 5)的六聚体配体。