Identification of proteases and protease inhibitors in allergenic and non-allergenic pollen

B Höllbacher, A.O Schmitt, Heidi Hofer, Fatima Ferreira, Peter Lackner

Research output: Contribution to journalArticle

Abstract

Pollen is one of the most common causes of allergy worldwide, making the study of their molecular composition crucial for the advancement of allergy research. Despite substantial efforts in this field, it is not yet clear why some plant pollens strongly provoke allergies while others do not. However, proteases and protease inhibitors from allergen sources are known to play an important role in the development of pollen allergies. In this study, we aim to uncover differences in the transcriptional pattern of proteases and protease inhibitors in Betula verrucosa and Pinus sylvestris pollen as models for high and low allergenic potential, respectively. We applied RNA sequencing to Betula verrucosa and Pinus sylvestris pollen. After de-novo assembly we derived general functional profiles of the protein coding transcripts. By utilization of domain based functional annotation we identified potential proteases and protease inhibitors and compared their expression in the two types of pollen. Functional profiles are highly similar between Betula verrucosa and Pinus sylvestris pollen. Both pollen contain proteases and inhibitors from 53 and 7 Pfam families, respectively. Some of the members comprised within those families are implicated in facilitating allergen entry, while others are known allergens themselves. Our work revealed several candidate proteins which, with further investigation, represent exciting new leads in elucidating the process behind allergic sensitization. © 2017 by the authors. Licensee MDPI, Basel, Switzerland.
Translated title of the contributionIdentification of proteases and protease inhibitors in allergenic and non-allergenic pollen
Original languageEnglish
Article number1199
JournalInternational Journal of Molecular Sciences
Volume18
Issue number6
DOIs
Publication statusPublished - 2017

Bibliographical note

18(6)

Fields of Science and Technology Classification 2012

  • 102 Computer Sciences

Keywords

  • Allergenicity
  • Pollen transcriptome
  • Protease
  • Protease inhibitor

Cite this