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Predicting Blomia tropicalis allergens using a multiomics approach

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027006%3A_____%2F23%3A10176765" target="_blank" >RIV/00027006:_____/23:10176765 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11310/23:10471256

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/epdf/10.1002/clt2.12302" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1002/clt2.12302</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/clt2.12302" target="_blank" >10.1002/clt2.12302</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predicting Blomia tropicalis allergens using a multiomics approach

  • Original language description

    The domestic mite Blomia tropicalis is a major source of allergens in tropical and subtropical regions. Despite its great medical importance, the allergome of this mite has not been sufficiently studied. Only 14 allergen groups have been identified in B. tropicalis thus far, even though early radioimmunoelectrophoresis techniques (27 uncharacterized allergen complexes) and comparative data based on 40 allergen groups officially recognized by the World Health Organization (WHO)/IUIS in domestic astigmatid mites suggest the presence of a large set of additional allergens.Here, we employ a multiomics approach to assess the allergome of B. tropicalis using genomic and transcriptomic sequence data and perform highly sensitive protein abundance quantification.Among the 14 known allergen groups, we confirmed 13 (one WHO/IUIS allergen, Blo t 19, was not found) and identified 16 potentially novel allergens based on sequence similarity. These data indicate that B. tropicalis shares 27 known/deduced allergen groups with pyroglyphid house dust mites (genus Dermatophagoides). Among these groups, five allergen-encoding genes are highly expressed at the transcript level: Blo t 1, Blo t 5, Blo t 21 (known), Blo t 15, and Blo t 18 (predicted). However, at the protein level, a different set of most abundant allergens was found: Blo t 2, 10, 11, 20 and 21 (mite bodies) or Blo t 3, 4, 6 and predicted Blo t 13, 14 and 36 (mite feces). We report the use of an integrated omics method to identify and predict an array of mite allergens and advanced, label-free proteomics to determine allergen protein abundance. Our research identifies a large set of novel putative allergens and shows that the expression levels of allergen-encoding genes may not be strictly correlated with the actual allergenic protein abundance in mite bodies.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)

Result continuities

  • Project

    <a href="/en/project/LUAUS23082" target="_blank" >LUAUS23082: Comparative genomics and transcriptomics of allergens and putative allergen genes from stored product and house dust mites</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Clinical and Translational Allergy

  • ISSN

    2045-7022

  • e-ISSN

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    17

  • Pages from-to

    e12302

  • UT code for WoS article

    001173323400001

  • EID of the result in the Scopus database

    2-s2.0-85173740002