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Nanoantibodies for detection and blocking of bioactivity of human vascular endothelial growth factor a165

Overview of attention for article published in Biochemistry, June 2012
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Title
Nanoantibodies for detection and blocking of bioactivity of human vascular endothelial growth factor a165
Published in
Biochemistry, June 2012
DOI 10.1134/s0006297912060132
Pubmed ID
Authors

S. V. Tillib, T. I. Ivanova, E. Yu. Lyssuk, S. S. Larin, A. V. Kibardin, E. V. Korobko, P. N. Vikhreva, N. V. Gnuchev, G. P. Georgiev, I. V. Korobko

Abstract

Nanoantibodies (single-domain antibodies, nanobodies) derived from noncanonical single-chain immunoglobulins provide an attractive tool for in vitro and in vivo diagnostics as well as for development of targeted drugs for clinical use. Nanoantibodies against several clinically important targets have been developed and are actively investigated. However, no development of nanoantibodies against vascular endothelial growth factor VEGF-A(165) has been reported. We describe here the generation of nanoantibodies derived from single-chain Bactrian camel immunoglobulins directed against VEGF-A(165). We demonstrate that these nanoantibodies are suitable for enzyme-linked immunoassay to quantify human VEGF-A(165) as well as for blocking its activity. Our results provide a basis for diagnostic kit development for quantification of VEGF-A(165), which emerges as a biomarker useful in various pathological conditions. In addition, the nanoantibodies might be used for development of therapeutic molecules targeting VEGF-A(165)-dependent pathological neoangiogenesis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 32%
Professor 5 26%
Student > Ph. D. Student 2 11%
Student > Master 2 11%
Unspecified 1 5%
Other 1 5%
Unknown 2 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 32%
Agricultural and Biological Sciences 4 21%
Veterinary Science and Veterinary Medicine 2 11%
Unspecified 1 5%
Immunology and Microbiology 1 5%
Other 2 11%
Unknown 3 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 July 2012.
All research outputs
#22,759,452
of 25,373,627 outputs
Outputs from Biochemistry
#21,449
of 22,288 outputs
Outputs of similar age
#164,286
of 181,086 outputs
Outputs of similar age from Biochemistry
#75
of 84 outputs
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So far Altmetric has tracked 22,288 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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