Portuguese researchers discover a new method to detect Helicobacter pylori

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Portuguese researchers discover a new method to detect Helicobacter pylori

Quarta, 23.08.2017

Authors and Affiliations:

Sílvia Fontenete1,2,3,4,5,6, Marina Leite2,3, Céu Figueiredo2,3,7, Paul Cos8, Nuno Filipe Azevedo1

1 LEPABE, Laboratory for Process Engineering, Environment, Biotechnology and Energy, Department of Chemical Engineering, Faculty of Engineering, University of Porto, Porto, Portugal.

2 i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.

3 IPATIMUP - Institute of Molecular Pathology and Immunology of the University of Porto, Porto, Portugal.

4 Nucleic Acid Center, Department of Physics, Chemistry and Pharmacy, University of Southern Denmark, Odense M, Denmark

5 ICBAS - Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal.

6 Present address: Epithelial Cell Biology Group, Cancer Cell Biology Program, Spanish National Cancer Research Centre, Madrid, 28029, Madrid, Spain.

7 FMUP, Faculty of Medicine of the University of Porto, Porto, Portugal.

8 Laboratory of Microbiology, Parasitology and Hygiene (LMPH), Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Antwerp, Belgium.

 

Abstract:

In this chapter, we describe a fluorescence in vivo hybridization (FIVH) https://www.viagrapascherfr.com/vente-viagra-paypal/ protocol, using nucleic acid probes, for the detection of the bacterium Helicobacter pylori in the gastric mucosa of an infected C57BL/6 mouse model. This protocol should be easily extended to other microorganisms not only as a way to identify in vivo important microorganisms and their patterns of distribution within specific or at different anatomic sites, but also to better understand interaction mechanisms involving the microbiome and the human body.

 

Journal: Diagnostic Bacteriology, Parte da série de livros Methods in Molecular Biology (MIMB, volume 1616).

 

Link: https://link.springer.com/protocol/10.1007%2F978-1-4939-7037-7_8