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Tumor Angiogenesis Assays

Overview of attention for book
Attention for Chapter 7: Surface Plasmon Resonance Analysis of Heparin-Binding Angiogenic Growth Factors
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Chapter title
Surface Plasmon Resonance Analysis of Heparin-Binding Angiogenic Growth Factors
Chapter number 7
Book title
Tumor Angiogenesis Assays
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3999-2_7
Pubmed ID
Book ISBNs
978-1-4939-3997-8, 978-1-4939-3999-2
Authors

Marco Rusnati, Antonella Bugatti

Abstract

Surface plasmon resonance (SPR) is an optical technique to evaluate biomolecular interactions. Briefly, SPR measures the capacity of two molecules to bind each other by detecting reflected light from a prism-gold film interface. One of the two putative interactants (called ligand) is chemically immobilized onto the gold film. When the sensor is exposed to a sample containing the second interactant (called analyte), its binding to the immobilized ligand causes a change of the refractive index of the material above the gold surface that is monitored as a real-time graph of the response units against time, producing a real-time graph called sensorgram. SPR has become a golden standard technology for label-free, real-time interaction analysis in basic research and drug discovery in a wide array of biomedical areas, including oncology and virology [1, 2]. Here we describe the exploitation of SPR for the study of the capacity of the pro-oncogenic, pro-angiogenic HIV-1 p17 matrix protein [3, 4] to bind to heparin, a structural analog of heparan sulfate proteoglycans (HSPGs) receptors, and for the identification of novel HSPGs-antagonists to be used as anti-p17 drugs.

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Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 13%
Student > Doctoral Student 1 13%
Professor 1 13%
Student > Ph. D. Student 1 13%
Researcher 1 13%
Other 1 13%
Unknown 2 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 13%
Agricultural and Biological Sciences 1 13%
Social Sciences 1 13%
Chemistry 1 13%
Medicine and Dentistry 1 13%
Other 0 0%
Unknown 3 38%