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

被引:20
|
作者
McKenna, Olivia E. [1 ]
Posselt, Gernot [1 ]
Briza, Peter [1 ]
Lackner, Peter [1 ]
Schmitt, Armin O. [2 ]
Gadermaier, Gabriele [1 ]
Wessler, Silja [1 ]
Ferreira, Fatima [1 ]
机构
[1] Univ Salzburg, Dept Mol Biol, A-5020 Salzburg, Austria
[2] Georg August Univ Gottingen, Dept Breeding Informat, D-37073 Gottingen, Germany
基金
奥地利科学基金会;
关键词
birch pollen; allergy; protease; proteome; transcriptome; zymogram; AMBROSIA-ARTEMISIIFOLIA POLLEN; SERINE-PROTEASE; PROTEOLYTIC-ENZYMES; BACILLUS-SUBTILIS; EPITHELIAL-CELLS; TIGHT JUNCTIONS; RAGWEED-POLLEN; ALLERGEN; PURIFICATION; ACTIVATION;
D O I
10.3390/ijms18071433
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Multi-Omics Analysis Strategy is a Promising Approach for Global Identification of New Biomarkers Evaluating Disease Severity of Patients With Dilated Cardiomyopathy
    Minamino, Naoto
    Nishigori, Mitsuhiro
    Yagi, Hiroaki
    Muto, Sayaka
    Seguchi, Osamu
    Osaki, Tsukasa
    Mochizuki, Akikazu
    Sasaki, Kazuki
    Asakura, Masanori
    Ikeda, Yoshihiko
    Ishibashi-Ueda, Hatsue
    Kanai, Yae
    Matsumoto, Kenji
    Nakatani, Takeshi
    CIRCULATION, 2014, 130
  • [32] Proteomic analysis of hydrolytic proteases in excretory/secretory proteins from Trichinella spiralis intestinal infective larvae using zymography combined with shotgun LC-MS/MS approach
    Ren, Hua Nan
    Zhuo, Tong Xu
    Bai, Sheng Jie
    Bai, Ying
    Sun, Xiang Yuan
    Liu, Ruo Dan
    Long, Shao Rong
    Cui, Jing
    Wang, Zhong Quan
    ACTA TROPICA, 2021, 216
  • [33] Comprehensive characterization of bioactive peptides in rice bran protein hydrolysates: A multi-platform approach for metabolomic profiling, identification, and molecular docking analysis
    Kumar, Ajay
    Singh, Narpinder
    Joshi, Robin
    CEREAL CHEMISTRY, 2024, 101 (05) : 1000 - 1019
  • [34] Genome-wide identification of thaumatin-like protein family in pear and functional analysis their roles in pollen growth
    Zhang, Hao
    Liu, Xueying
    Tang, Chao
    Qian, Ming
    Zhang, Mingliang
    Xie, Zhu
    Wu, Mayan
    Khan, Waqar
    Zhang, Shaoling
    Wu, Juyou
    Wang, Peng
    PLANT GROWTH REGULATION, 2024, 104 (01) : 267 - 282
  • [35] Identification and quantitative analysis of bioactive components from Potentilla kleiniana Wight et Arn with anti HIV-1 proteases activity
    Zhou, Yong Qiang
    Li, Su Mei
    Wei, Xin
    Yang, Xin
    Xiao, Jun Wei
    Pan, Bo Wen
    Xie, Shou Xia
    Zhou, Ying
    Yang, Jian
    Wei, Ying
    NATURAL PRODUCT RESEARCH, 2023, 37 (23) : 4028 - 4031
  • [36] Identification of Key Biomarkers in Systemic Lupus Erythematosus by a Multi-Cohort Analysis
    Wei, Meilin
    Dong, Qiguan
    Chen, Shaoqiu
    Wang, Junlong
    Yang, Hua
    Xiong, Qin
    FRONTIERS IN IMMUNOLOGY, 2022, 13
  • [37] Multi High-Throughput Approach for Highly Selective Identification of Vaccine Candidates: the Group A Streptococcus Case
    Bensi, Giuliano
    Mora, Marirosa
    Tuscano, Giovanna
    Biagini, Massimiliano
    Chiarot, Emiliano
    Bombaci, Mauro
    Capo, Sabrina
    Falugi, Fabiana
    Manetti, Andrea G. O.
    Donato, Paolo
    Swennen, Erwin
    Gallotta, Marilena
    Garibaldi, Manuela
    Pinto, Vittoria
    Chiappini, Nico
    Musser, James M.
    Janulczyk, Robert
    Mariani, Massimo
    Scarselli, Maria
    Telford, John L.
    Grifantini, Renata
    Norais, Nathalie
    Margarit, Immaculada
    Grandi, Guido
    MOLECULAR & CELLULAR PROTEOMICS, 2012, 11 (06)
  • [38] Identification, characterization and expression analysis of lineage-specific genes within sweet orange (Citrus sinensis)
    Xu, Yuantao
    Wu, Guizhi
    Hao, Baohai
    Chen, Lingling
    Deng, Xiuxin
    Xu, Qiang
    BMC GENOMICS, 2015, 16
  • [39] Identification, characterization and expression analysis of lineage-specific genes within sweet orange (Citrus sinensis)
    Yuantao Xu
    Guizhi Wu
    Baohai Hao
    Lingling Chen
    Xiuxin Deng
    Qiang Xu
    BMC Genomics, 16
  • [40] Genome-wide identification, characterization, and expression analysis of lineage-specific genes within zebrafish
    Yang, Liandong
    Zou, Ming
    Fu, Beide
    He, Shunping
    BMC GENOMICS, 2013, 14