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. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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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 % |
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Agricultural and Biological Sciences | 1 | 13% |
Social Sciences | 1 | 13% |
Chemistry | 1 | 13% |
Medicine and Dentistry | 1 | 13% |
Other | 0 | 0% |
Unknown | 3 | 38% |