Literature DB >> 30028972

NETs detection and quantification in paraffin embedded samples using confocal microscopy.

A Santos1, P Martín2, A Blasco3, J Solano4, B Cózar5, D García6, J Goicolea7, C Bellas8, M J Coronado9.   

Abstract

Detection and quantification of Neutrophil Extracellular Traps (NETs) in tissue samples has become a topic of great interest to understand their pathological role in various diseases. We describe a semi-automatic method of visualization and quantification of NETs in paraffin-embedded intracoronary thrombus aspirate samples. This study is based on colocalization of myeloperoxidase (MPO) and citrullinated histone 3 (H3Cit) as hallmark of the presence of NETs. For the analysis we used the confocal immunofluorescence microscopy technology to quantify the number of fields and the total area (in μm2) containing NETs in each thrombus sample. This observer-independent quantification method could be a useful tool to standardize the study of NETs in paraffin-embedded tissues, enabling comparison of results among different laboratories.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Image analysis; Inmunofluorescence; Microscopy; Neutrophil Extracellular Traps

Year:  2018        PMID: 30028972     DOI: 10.1016/j.micron.2018.07.002

Source DB:  PubMed          Journal:  Micron        ISSN: 0968-4328            Impact factor:   2.251


  4 in total

1.  An Imaging Flow Cytometry Method to Measure Citrullination of H4 Histone as a Read-out for Neutrophil Extracellular Traps Formation.

Authors:  Emilia A Barbu; Venina M Dominical; Laurel Mendelsohn; Swee Lay Thein
Journal:  Bio Protoc       Date:  2021-02-20

2.  Assessment of Neutrophil Extracellular Traps in Coronary Thrombus of a Case Series of Patients With COVID-19 and Myocardial Infarction.

Authors:  Ana Blasco; María-José Coronado; Fernando Hernández-Terciado; Paloma Martín; Ana Royuela; Elvira Ramil; Diego García; Javier Goicolea; María Del Trigo; Javier Ortega; Juan M Escudier; Lorenzo Silva; Carmen Bellas
Journal:  JAMA Cardiol       Date:  2020-12-29       Impact factor: 14.676

Review 3.  Computational Methodologies for the in vitro and in situ Quantification of Neutrophil Extracellular Traps.

Authors:  Shane V van Breda; Lenka Vokalova; Claire Neugebauer; Simona W Rossi; Sinuhe Hahn; Paul Hasler
Journal:  Front Immunol       Date:  2019-07-10       Impact factor: 7.561

4.  Machine Learning to Quantitate Neutrophil NETosis.

Authors:  Laila Elsherif; Noah Sciaky; Carrington A Metts; Md Modasshir; Ioannis Rekleitis; Christine A Burris; Joshua A Walker; Nadeem Ramadan; Tina M Leisner; Stephen P Holly; Martis W Cowles; Kenneth I Ataga; Joshua N Cooper; Leslie V Parise
Journal:  Sci Rep       Date:  2019-11-15       Impact factor: 4.379

  4 in total

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