POL Scientific / JBM / Volume 5 / Issue 4 / DOI: 10.14440/jbm.2018.257
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Improved production of monoclonal antibodies against the LcrV antigen of Yersinia pestis using FACS-aided hybridoma selection

Assa Sittner1 Adva Mechaly1 Einat Vitner1 Moshe Aftalion2 Yinon Levy2 Haim Levy1 Emanuelle Mamroud2 Morly Fisher1
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1 Department of Infectious Diseases Institute for Biological Research, P.O. Box 19, Ness Ziona 74100, Israel
2 Department of Biochemistry and Molecular Genetics Institute for Biological Research, P.O. Box 19, Ness Ziona 74100, Israel
JBM 2018 , 5(4), 1;
Published: 7 November 2018
© 2018 by the author. Licensee POL Scientific, USA. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

 For about four decades, hybridoma technologies have been the “work horse” of monoclonal antibody production. These techniques proved to be robust and reliable, albeit laborious. Over the years, several major improvements have been introduced into the field, but yet, antibody production still requires many hours of labor and considerable resources. In this work, we present a leap forward in the advancement of hybridoma-based monoclonal antibody production, which saves labor and time and increases yield, by combining hybridoma technology, fluorescent particles and fluorescence-activated cell sorting (FACS). By taking advantage of the hybridomas’ cell-surface associated antibodies, we can differentiate between antigen-specific and non-specific cells, based on their ability to bind the particles. The speed and efficiency of antibody discovery, and subsequent cell cloning, are of high importance in the field of infectious diseases. Therefore, as a model system, we chose the protein LcrV, a major virulence factor of the plague pathogen Yersinia pestis, an important re-emerging pathogen and a possible bioterror agent.

Keywords
FACS
hybridoma
sorting
selection
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Journal of Biological Methods, Electronic ISSN: 2326-9901 Print ISSN: TAB, Published by POL Scientific