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Multi-Approach Analysis for the Identification of Proteases within Birch Pollen

Birch pollen allergy is highly prevalent, with up to 100 million reported cases worldwide. Proteases in such allergen sources have been suggested to contribute to primary sensitisation and exacerbation of allergic disorders. Until now the protease content of Betula verrucosa, a birch species endemic...

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Autores principales: McKenna, Olivia E., Posselt, Gernot, Briza, Peter, Lackner, Peter, Schmitt, Armin O., Gadermaier, Gabriele, Wessler, Silja, Ferreira, Fatima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5535924/
https://www.ncbi.nlm.nih.gov/pubmed/28677627
http://dx.doi.org/10.3390/ijms18071433
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author McKenna, Olivia E.
Posselt, Gernot
Briza, Peter
Lackner, Peter
Schmitt, Armin O.
Gadermaier, Gabriele
Wessler, Silja
Ferreira, Fatima
author_facet McKenna, Olivia E.
Posselt, Gernot
Briza, Peter
Lackner, Peter
Schmitt, Armin O.
Gadermaier, Gabriele
Wessler, Silja
Ferreira, Fatima
author_sort McKenna, Olivia E.
collection PubMed
description Birch pollen allergy is highly prevalent, with up to 100 million reported cases worldwide. Proteases in such allergen sources have been suggested to contribute to primary sensitisation and exacerbation of allergic disorders. Until now the protease content of Betula verrucosa, a birch species endemic to the northern hemisphere has not been studied in detail. Hence, we aim to identify and characterise pollen and bacteria-derived proteases found within birch pollen. The pollen transcriptome was constructed via de novo transcriptome sequencing and analysis of the proteome was achieved via mass spectrometry; a cross-comparison of the two databases was then performed. A total of 42 individual proteases were identified at the proteomic level. Further clustering of proteases into their distinct catalytic classes revealed serine, cysteine, aspartic, threonine, and metallo-proteases. Further to this, protease activity of the pollen was quantified using a fluorescently-labelled casein substrate protease assay, as 0.61 ng/mg of pollen. A large number of bacterial strains were isolated from freshly collected birch pollen and zymographic gels with gelatinase and casein, enabled visualisation of proteolytic activity of the pollen and the collected bacterial strains. We report the successful discovery of pollen and bacteria-derived proteases of Betula verrucosa.
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spelling pubmed-55359242017-08-04 Multi-Approach Analysis for the Identification of Proteases within Birch Pollen McKenna, Olivia E. Posselt, Gernot Briza, Peter Lackner, Peter Schmitt, Armin O. Gadermaier, Gabriele Wessler, Silja Ferreira, Fatima Int J Mol Sci Article Birch pollen allergy is highly prevalent, with up to 100 million reported cases worldwide. Proteases in such allergen sources have been suggested to contribute to primary sensitisation and exacerbation of allergic disorders. Until now the protease content of Betula verrucosa, a birch species endemic to the northern hemisphere has not been studied in detail. Hence, we aim to identify and characterise pollen and bacteria-derived proteases found within birch pollen. The pollen transcriptome was constructed via de novo transcriptome sequencing and analysis of the proteome was achieved via mass spectrometry; a cross-comparison of the two databases was then performed. A total of 42 individual proteases were identified at the proteomic level. Further clustering of proteases into their distinct catalytic classes revealed serine, cysteine, aspartic, threonine, and metallo-proteases. Further to this, protease activity of the pollen was quantified using a fluorescently-labelled casein substrate protease assay, as 0.61 ng/mg of pollen. A large number of bacterial strains were isolated from freshly collected birch pollen and zymographic gels with gelatinase and casein, enabled visualisation of proteolytic activity of the pollen and the collected bacterial strains. We report the successful discovery of pollen and bacteria-derived proteases of Betula verrucosa. MDPI 2017-07-04 /pmc/articles/PMC5535924/ /pubmed/28677627 http://dx.doi.org/10.3390/ijms18071433 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
McKenna, Olivia E.
Posselt, Gernot
Briza, Peter
Lackner, Peter
Schmitt, Armin O.
Gadermaier, Gabriele
Wessler, Silja
Ferreira, Fatima
Multi-Approach Analysis for the Identification of Proteases within Birch Pollen
title Multi-Approach Analysis for the Identification of Proteases within Birch Pollen
title_full Multi-Approach Analysis for the Identification of Proteases within Birch Pollen
title_fullStr Multi-Approach Analysis for the Identification of Proteases within Birch Pollen
title_full_unstemmed Multi-Approach Analysis for the Identification of Proteases within Birch Pollen
title_short Multi-Approach Analysis for the Identification of Proteases within Birch Pollen
title_sort multi-approach analysis for the identification of proteases within birch pollen
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5535924/
https://www.ncbi.nlm.nih.gov/pubmed/28677627
http://dx.doi.org/10.3390/ijms18071433
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