All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Proteogenomics of the house dust mite, Dermatophagoides farinae: Allergen repertoire, accurate allergen identification, isoforms, and sex-biased proteome differences

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027006%3A_____%2F20%3A10138974" target="_blank" >RIV/00027006:_____/20:10138974 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11310/20:10426297

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S1874391919303070?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1874391919303070?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jprot.2019.103535" target="_blank" >10.1016/j.jprot.2019.103535</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Proteogenomics of the house dust mite, Dermatophagoides farinae: Allergen repertoire, accurate allergen identification, isoforms, and sex-biased proteome differences

  • Original language description

    In this work, we performed a proteogenomic annotation of the house dust mite, Dermatophagoides farinae, which is the most important source of house dust allergens. The proteogenomic analysis performed here provides a foundation for not only understanding the biology of the mite but also the identification of novel allergens. This study generated a robust proteomic dataset for D. farinae and reviewed existing and candidate allergens in this species. We stress some pitfalls of high-throughput analyses, especially that improper headers of allergen protein records provided in databases can lead to confusion. Using partial sequences in proteomic identification and quantification can lead to low identification success (low signal intensity or MS/MS counts). Thus, we individually curated the protein sequences for proper identification and quantification. The discovered sex differences can be one factor affecting allergen/immunogen variations in mite extracts. Overall, this work provides a benchmark for accurate identification of mite immunogenic proteins using proteomics.

  • 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

    10609 - Biochemical research methods

Result continuities

  • Project

    <a href="/en/project/GA17-12068S" target="_blank" >GA17-12068S: Are the associated bacteria and waste metabolite responsible for the decline of populations house dust mites?</a><br>

  • Continuities

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

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Proteomics

  • ISSN

    1874-3919

  • e-ISSN

  • Volume of the periodical

    210

  • Issue of the periodical within the volume

    JAN 6 2020

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    15

  • Pages from-to

    103535

  • UT code for WoS article

    000498278700008

  • EID of the result in the Scopus database

    2-s2.0-85073696249