Generation of Synthetic Acinetobacter baumannii -Specific Nanobodies.

Autor:	Knauf GA; Department of Molecular Biosciences, The University of Texas at Austin, Austin, Texas 78712, USA., Groover KE; Department of Molecular Biosciences, The University of Texas at Austin, Austin, Texas 78712, USA., O'Donnell AC, Davies BW; Department of Molecular Biosciences, The University of Texas at Austin, Austin, Texas 78712, USA.; John Ring LaMontagne Center for Infectious Diseases, The University of Texas at Austin, Austin, Texas 78712, USA.
Jazyk:	angličtina
Zdroj:	ACS infectious diseases [ACS Infect Dis] 2023 Jun 09; Vol. 9 (6), pp. 1190-1195. Date of Electronic Publication: 2023 May 10.
DOI:	10.1021/acsinfecdis.3c00024
Abstrakt:	The bacterial pathogen Acinetobacter baumannii is a leading cause of drug-resistant infections. Here, we investigated the potential of developing nanobodies that can recognize A. baumannii over other Gram-negative bacteria. Through generation and panning of a synthetic nanobody library, we identified several potential lead candidates. We demonstrate how incorporation of next-generation sequencing analysis can aid in the selection of lead candidate nanobodies. Using monoclonal phage display, we validated the binding of lead nanobodies to A. baumannii . Subsequent purification and biochemical characterization revealed one particularly robust nanobody that specifically bound select A. baumannii strains compared to other common drug-resistant pathogens. These findings support the potential for nanobodies to selectively target A. baumannii and the identification of lead candidates for future investigation.
Databáze:	MEDLINE
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