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Hybridization-Based Detection of Helicobacter pylori at Human Body Temperature Using Advanced Locked Nucleic Acid (LNA) Probes

Overview of attention for article published in PLOS ONE, November 2013
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Title
Hybridization-Based Detection of Helicobacter pylori at Human Body Temperature Using Advanced Locked Nucleic Acid (LNA) Probes
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0081230
Pubmed ID
Authors

Sílvia Fontenete, Nuno Guimarães, Marina Leite, Céu Figueiredo, Jesper Wengel, Nuno Filipe Azevedo

Abstract

The understanding of the human microbiome and its influence upon human life has long been a subject of study. Hence, methods that allow the direct detection and visualization of microorganisms and microbial consortia (e.g. biofilms) within the human body would be invaluable. In here, we assessed the possibility of developing a variant of fluorescence in situ hybridization (FISH), named fluorescence in vivo hybridization (FIVH), for the detection of Helicobacter pylori. Using oligonucleotide variations comprising locked nucleic acids (LNA) and 2'-O-methyl RNAs (2'OMe) with two types of backbone linkages (phosphate or phosphorothioate), we were able to successfully identify two probes that hybridize at 37 °C with high specificity and sensitivity for H. pylori, both in pure cultures and in gastric biopsies. Furthermore, the use of this type of probes implied that toxic compounds typically used in FISH were either found to be unnecessary or could be replaced by a non-toxic substitute. We show here for the first time that the use of advanced LNA probes in FIVH conditions provides an accurate, simple and fast method for H. pylori detection and location, which could be used in the future for potential in vivo applications either for this microorganism or for others.

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Geographical breakdown

Country Count As %
United States 2 4%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 27%
Researcher 11 20%
Student > Ph. D. Student 8 15%
Student > Bachelor 4 7%
Professor 2 4%
Other 5 9%
Unknown 10 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 22%
Biochemistry, Genetics and Molecular Biology 12 22%
Immunology and Microbiology 5 9%
Chemistry 3 5%
Engineering 3 5%
Other 6 11%
Unknown 14 25%