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Utilizing Nanobody Technology to Target Non-Immunodominant Domains of VAR2CSA

Overview of attention for article published in PLOS ONE, January 2014
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Title
Utilizing Nanobody Technology to Target Non-Immunodominant Domains of VAR2CSA
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0084981
Pubmed ID
Authors

Sisse B. Ditlev, Raluca Florea, Morten A. Nielsen, Thor G. Theander, Stefan Magez, Philippe Boeuf, Ali Salanti

Abstract

Placental malaria is a major health problem for both pregnant women and their fetuses in malaria endemic regions. It is triggered by the accumulation of Plasmodium falciparum-infected erythrocytes (IE) in the intervillous spaces of the placenta and is associated with foetal growth restriction and maternal anemia. IE accumulation is supported by the binding of the parasite-expressed protein VAR2CSA to placental chondroitin sulfate A (CSA). Defining specific CSA-binding epitopes of VAR2CSA, against which to target the immune response, is essential for the development of a vaccine aimed at blocking IE adhesion. However, the development of a VAR2CSA adhesion-blocking vaccine remains challenging due to (i) the large size of VAR2CSA and (ii) the extensive immune selection for polymorphisms and thereby non-neutralizing B-cell epitopes. Camelid heavy-chain-only antibodies (HcAbs) are known to target epitopes that are less immunogenic to classical IgG and, due to their small size and protruding antigen-binding loop, able to reach and recognize cryptic, conformational epitopes which are inaccessible to conventional antibodies. The variable heavy chain (VHH) domain is the antigen-binding site of camelid HcAbs, the so called Nanobody, which represents the smallest known (15 kDa) intact, native antigen-binding fragment. In this study, we have used the Nanobody technology, an approach new to malaria research, to generate small and functional antibody fragments recognizing unique epitopes broadly distributed on VAR2CSA.

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Geographical breakdown

Country Count As %
United Kingdom 2 3%
United States 1 1%
Unknown 77 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 23%
Researcher 12 15%
Student > Master 12 15%
Student > Bachelor 6 8%
Other 4 5%
Other 13 16%
Unknown 15 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 24%
Biochemistry, Genetics and Molecular Biology 12 15%
Medicine and Dentistry 9 11%
Immunology and Microbiology 4 5%
Design 3 4%
Other 15 19%
Unknown 18 23%