Chapter title |
Killing Bacteria with Cytotoxic Effector Proteins of Human Killer Immune Cells: Granzymes, Granulysin, and Perforin.
|
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Chapter number | 18 |
Book title |
Bacterial Pathogenesis
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6673-8_18 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6671-4, 978-1-4939-6673-8
|
Authors |
Diego López León, Isabelle Fellay, Pierre-Yves Mantel, Michael Walch |
Editors |
Pontus Nordenfelt, Mattias Collin |
Abstract |
Bacterial pathogens represent a constant threat to human health that was exacerbated in recent years by a dramatic increase of strains resistant to last resort antibiotics. The immune system of higher vertebrates generally evolved several efficient innate and adaptive mechanisms to fight ubiquitous bacterial pathogens. Among those mechanisms, immune proteases were recognized to contribute essentially to antibacterial immune defense. The effector serine proteases of the adaptive immune system, the granzymes, exert potent antimicrobial activity when they are delivered into the bacterial cytosol by prokaryotic membrane disrupting proteins, such as granulysin.In this chapter, we are detailing experimental protocols to study the synergistic cytotoxic effects of human granzymes and granulysin on extracellular as well as on intracellular bacterial pathogens in vitro. In addition, we provide a simple and fast-forward method to biochemically purify native cytotoxic effector molecules necessary to perform this kind of investigations. |
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Unknown | 1 | 100% |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
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Unknown | 11 | 100% |
Demographic breakdown
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Student > Ph. D. Student | 3 | 27% |
Student > Doctoral Student | 2 | 18% |
Researcher | 2 | 18% |
Unspecified | 1 | 9% |
Student > Bachelor | 1 | 9% |
Other | 0 | 0% |
Unknown | 2 | 18% |
Readers by discipline | Count | As % |
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Immunology and Microbiology | 2 | 18% |
Unspecified | 1 | 9% |
Environmental Science | 1 | 9% |
Agricultural and Biological Sciences | 1 | 9% |
Economics, Econometrics and Finance | 1 | 9% |
Other | 2 | 18% |
Unknown | 3 | 27% |