Open AccessTargeting c-Met on gastric cancer cells through a fully human fab antibody isolated from a large naive phage antibody library
Author(s) -
Bahareh Zarei,
Zahra Javidan,
Elnaz Fatemi,
Fatemeh Rahimi Jamnani,
Shohreh Khatami,
Vahid Khalaj
Publication year - 2020
Publication title -
daru
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.645
H-Index - 42
eISSN - 2008-2231
pISSN - 1560-8115
DOI - 10.1007/s40199-020-00334-z
Subject(s) - phage display , antibody , panning (audio) , c met , monoclonal antibody , flow cytometry , clone (java method) , microbiology and biotechnology , cancer , antigen , peptide library , cancer research , hepatocyte growth factor , chemistry , biology , immunology , dna , receptor , biochemistry , gene , genetics , paleontology , zoom , peptide sequence , lens (geology)
The aberrant Hepatocyte growth factor (HGF)/ mesenchymal-epithelial transition factor (c-Met) signaling pathway in various malignancies and its correlation with tumor invasion and poor prognosis has validated c-Met as a compelling therapeutic target. Up to now, several monoclonal antibodies and small molecule inhibitors targeting c-Met have been introduced with different outcomes, none are yet clinically approved. Toward the generation of novel fully human anti-c-Met molecules, we generated a large naïve Fab antibody library using phage display technology, which subsequently screened for novel Fabs against c-Met.