Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42136
Title: Characterization of nanobodies binding human fibrinogen selected by E. coli display
Authors: Salema, Valencio
López-Guajardo, Ana
Gutierrez, Carlos 
Mencía, Mario
Fernández, Luis Ángel
UNESCO Clasification: 310907 Patología
Keywords: Bacterial display
E. coli
Fibrinogen
Nanobodies
Single domain antibodies
Issue Date: 2016
Journal: Journal of Biotechnology 
Abstract: Abnormal levels of fibrinogen (Fib) in blood plasma are associated with several pathological conditions and hence methods for its detection in blood and body fluids are essential. Nanobodies (Nbs) or (VHHs) are single domain antibodies derived from camelids with excellent biophysical and antigen-binding properties, showing great promise in diagnostics and therapy. In this work, we select and characterize high affinity Nbs binding human Fib employing an E. coli cell surface display system based on the fusion of an immune library of VHH domains with the β-domain of Intimin. Bacteria displaying high-affinity Nbs against Fib were selected using magnetic cell sorting (MACS). Specific binding of the selected clones to Fib was confirmed by flow cytometry of E. coli bacteria, as well as by enzyme-linked immunosorbent assay (ELISA) and surface plasmon resonance (SPR) with the purified Nbs. E. coli display also provided an excellent estimation of the affinity of the selected Nbs by flow cytometry analysis under equilibrium conditions, with equilibrium constant (KD) values very similar to those obtained by SPR analysis. Finally, pairwise epitope-scouting studies revealed that the selected Nbs bound distinct epitopes on Fib. The selected Nbs are promising diagnostic tools for determination of human Fib levels.
URI: http://hdl.handle.net/10553/42136
ISSN: 0168-1656
DOI: 10.1016/j.jbiotec.2016.07.025
Source: Journal of Biotechnology[ISSN 0168-1656],v. 234, p. 58-65
Appears in Collections:Artículos
Show full item record

SCOPUSTM   
Citations

11
checked on Nov 17, 2024

WEB OF SCIENCETM
Citations

9
checked on Nov 17, 2024

Page view(s)

40
checked on Jun 15, 2024

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.