期刊
MABS
卷 11, 期 3, 页码 532-545出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/19420862.2019.1571878
关键词
Antibody discovery; monoclonal antibody; lead antibody; antibody library; phage display; antibody library sequencing; NGS; clone retrieval; rare clones
资金
- National Research Foundation of Korea (NRF) - Ministry of Science and ICT(MSIT) [2015K1A4A3047345]
- Brain Korea 21 Plus Project in 2018
- Korea Health Technology R&D Project of the Korea Health Industry Development Institute (KHIDI) - Ministry of Health & Welfare, Republic of Korea [HI18C2282]
- Bio & Medical Technology Development Program of the National Research Foundation (NRF) - Korean government (MSIT) [2018M3A9D7079488]
- National Research Foundation of Korea [2018M3A9D7079488, 2015K1A4A3047345] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
In antibody discovery, in-depth analysis of an antibody library and high-throughput retrieval of clones in the library are crucial to identifying and exploiting rare clones with different properties. However, existing methods have technical limitations, such as low process throughput from the laborious cloning process and waste of the phenotypic screening capacity from unnecessary repetitive tests on the dominant clones. To overcome the limitations, we developed a new high-throughput platform for the identification and retrieval of clones in the library, TrueRepertoire (TM). This new platform provides highly accurate sequences of the clones with linkage information between heavy and light chains of the antibody fragment. Additionally, the physical DNA of clones can be retrieved in high throughput based on the sequence information. We validated the high accuracy of the sequences and demonstrated that there is no platform-specific bias. Moreover, the applicability of TrueRepertoire (TM) was demonstrated by a phage-displayed single-chain variable fragment library targeting human hepatocyte growth factor protein.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据