Literature DB >> 28090632

Identification of highly selective MMP-14 inhibitory Fabs by deep sequencing.

Tyler Lopez1, Dong Hyun Nam1, Evan Kaihara1, Zahid Mustafa1, Xin Ge1.   

Abstract

Matrix metalloproteinase (MMP)-14 is an important target for cancer treatment due to its critical roles in tumor invasion and metastasis. Previous failures of all compound-based broad-spectrum MMP inhibitors in clinical trials suggest that selectivity is the key for a successful therapy. With inherent high specificity, monoclonal antibodies (mAbs) therefore arise as attractive inhibitors able to target the particular MMP of interest. As a routine screening method, enzyme-linked immunosorbent assays (ELISA) have been applied to panned phage libraries for the isolation of mAbs inhibiting MMP-14. However, because of suboptimal growth conditions and insufficient antibody expression associated with monoclonal ELISA, a considerable number of potentially inhibitory clones might not be identified. Taking advantage of next-generation sequencing (NGS), we monitored enrichment profiles of millions of antibody clones along three rounds of phage panning, and identified 20 Fab inhibitors of MMP-14 with inhibition IC50 values of 10-4,000 nM. Among these inhibitory Fabs, 15 were not found by monoclonal phage ELISA. Particularly, Fab R2C7 exhibited an inhibition potency of 100 nM with an excellent selectivity to MMP-14 over MMP-9. Inhibition kinetics and epitope mapping suggested that as a competitive inhibitor, R2C7 directly bound to the vicinity of the MMP-14 catalytic site. This study demonstrates that deep sequencing is a powerful tool to facilitate the systematic discovery of mAbs with protease inhibition functions. Biotechnol. Bioeng. 2017;114: 1140-1150.
© 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  bioinformatics; deep sequencing; inhibitory antibody; matrix metalloproteinase; synthetic library

Mesh:

Substances:

Year:  2017        PMID: 28090632      PMCID: PMC5398909          DOI: 10.1002/bit.26248

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


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