Literature DB >> 31729002

Immunofluorescent Detection of NET Components in Paraffin-Embedded Tissue.

Ulrike Abu-Abed1,2, Volker Brinkmann3.   

Abstract

Neutrophil extracellular traps (NETs) consist of decondensed chromatin fibers studded with granular and cytoplasmic proteins and peptides that are released by stimulated neutrophil granulocytes. If present in abundance (e.g., in large thrombi), NETs are depicted in H&E-stained tissue sections as pale bluish areas. Since no NET-specific antibodies exist, to unambiguously identify even small amounts of NETs in tissue, it is essential to demonstrate colocalization of nuclear and granular/cytoplasmic NET components which in unstimulated neutrophils are clearly separated. This requires good tissue preservation and a very defined immunolocalization, which can be achieved by using 2-3 μm thick sections of paraffin-embedded tissue. It provides sufficiently good tissue preservation for subcellular localization of two or more NET components, thereby allow to differentiate stimulated from unstimulated neutrophils and to clearly identify NETs. In this chapter, we will provide protocols for antigen retrieval and immunofluorescent labeling of NET components in paraffin-embedded tissue with commercially available antibodies.

Entities:  

Keywords:  Antigen retrieval; Confocal scanning microscopy; Multicolor immunofluorescence; Neutrophil extracellular traps; Neutrophil granulocytes; Paraffin-embedded tissue; Slide digitalization

Mesh:

Year:  2020        PMID: 31729002     DOI: 10.1007/978-1-0716-0154-9_24

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

Review 1.  Tissue-level inflammation and ventricular remodeling in hypertrophic cardiomyopathy.

Authors:  Richard C Becker; A Phillip Owens; Sakthivel Sadayappan
Journal:  J Thromb Thrombolysis       Date:  2020-02       Impact factor: 2.300

Review 2.  Roles, detection, and visualization of neutrophil extracellular traps in acute pancreatitis.

Authors:  Hongxuan Li; Lingyu Zhao; Yueying Wang; Meng-Chun Zhang; Cong Qiao
Journal:  Front Immunol       Date:  2022-08-05       Impact factor: 8.786

  2 in total

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