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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
immunology and microbiology
Parallel selection of multiple anti-infectome Nanobodies without access to purified antigens
Journal of Immunological Methods, Volume 329, No. 1-2, Year 2008
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Description
A strategy was developed to isolate Nanobodies, camelid-derived single-domain antibody fragments, against the parasite infectome without a priori knowledge of the antigens nor having access to the purified antigens. From a dromedary, infected with T. evansi, we cloned a pool of Nanobodies and selected after phage display 16 different Nanobodies specific for a single antigen, i.e. variant surface glycoprotein of T. evansi. Moreover 14 Nanobodies were isolated by panning on different total parasite lysates. Thus, this anti-infectome experiment generated Nanobodies, monospecific for one Trypanosoma species, whereas others were pan-reactive to various Trypanosoma species. Several Nanobodies could label specifically the coat of a set of Trypanozoon species. The recognized target(s) are present in GPI-linked membrane fractions of bloodstream- and fly-form parasites. Due to the omnipresence of these targets on different parasite species and forms, these antibody fragments are a valuable source for validation of novel, not yet identified targets to design new diagnostics and therapeutics. © 2007 Elsevier B.V. All rights reserved.
Authors & Co-Authors
Saerens, Dirk
Belgium, Brussels
Vrije Universiteit Brussel
Belgium, Ghent
Vlaams Instituut Voor Biotechnologie
Stijlemans, Benoît
Belgium, Brussels
Vrije Universiteit Brussel
Belgium, Ghent
Vlaams Instituut Voor Biotechnologie
Baral, Toya Nath
Belgium, Brussels
Vrije Universiteit Brussel
Belgium, Ghent
Vlaams Instituut Voor Biotechnologie
Nguyen Thi, Giang Thanh
Belgium, Brussels
Vrije Universiteit Brussel
Belgium, Ghent
Vlaams Instituut Voor Biotechnologie
Wernery, Ullrich
United Arab Emirates, Dubai
Central Veterinary Research Laboratory Dubai
Magez, Stefan
Belgium, Brussels
Vrije Universiteit Brussel
Belgium, Ghent
Vlaams Instituut Voor Biotechnologie
de Baetseĺier, Patrick C.
Belgium, Brussels
Vrije Universiteit Brussel
Belgium, Ghent
Vlaams Instituut Voor Biotechnologie
Muyldermans, Serge
Belgium, Brussels
Vrije Universiteit Brussel
Belgium, Ghent
Vlaams Instituut Voor Biotechnologie
Conrath, Katja Els
Belgium, Brussels
Vrije Universiteit Brussel
Belgium, Ghent
Vlaams Instituut Voor Biotechnologie
Statistics
Citations: 67
Authors: 9
Affiliations: 3
Identifiers
Doi:
10.1016/j.jim.2007.10.005
ISSN:
00221759
Research Areas
Health System And Policy
Study Approach
Quantitative