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Automated Image-Based Quantification of Neutrophil Extracellular Traps Using NETQUANT
Published on: November 27, 2019
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Characterization, Quantification, and Visualization of Neutrophil Extracellular Traps
Phillipa C White1, Ilaria J Chicca1, Martin R Ling1
1Institute of Clinical Sciences, College of Medical and Dental Sciences, The School of Dentistry, University of Birmingham, 5 Mill Pool Way, Edgbaston, Birmingham, B5 7EG, UK.
Methods in Molecular Biology (Clifton, N.J.)
|December 8, 2016
Summary
Neutrophil extracellular traps (NETs) are crucial in inflammatory diseases like periodontitis. This chapter details methods for isolating neutrophils, quantifying NET production, and assessing NETs' bacterial entrapment and clearance.
Area of Science:
- Immunology
- Microbiology
- Periodontology
Background:
- Neutrophil extracellular traps (NETs) were discovered in 2004.
- NETs play a significant role in various inflammatory diseases, notably periodontitis.
- Research into NETs' functions and implications in disease is ongoing.
Purpose of the Study:
- To describe current methodologies for isolating peripheral blood neutrophils for NET experiments.
- To outline techniques for quantifying and visualizing NET production.
- To review the capacity of NETs in entrapping and eliminating bacteria, and their clearance by nucleases.
Main Methods:
- Isolation of peripheral blood neutrophils.
- Quantification and visualization of NET production.
- Assessment of NETs' bactericidal activity and nuclease-mediated clearance.
Main Results:
- Established methods allow for the isolation and study of neutrophils.
- NET production can be quantified and visualized using various techniques.
- NETs demonstrate bactericidal capabilities and are subject to clearance mechanisms.
Conclusions:
- Standardized methods are available for investigating NETs in inflammatory contexts.
- Understanding NET formation, function, and clearance is vital for periodontitis research.
- Further studies can build upon these described methodologies to explore NETs' role in disease pathogenesis.
