LC-MS/MS identification of proteins from a porcine lung tissue affected by Actinobacillus pleuropneumoniae
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F19%3APU140027" target="_blank" >RIV/00216305:26620/19:PU140027 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43210/19:43917125
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
LC-MS/MS identification of proteins from a porcine lung tissue affected by Actinobacillus pleuropneumoniae
Original language description
Targeted therapy of porcine pleuropneumonia, which is caused by the bacterium Actinobacillus pleuropneumoniae, would help pig breeders to lower their expenses related with solving this problem. In order to find potential receptors of a targeted therapy it is important to know the response of the organismon an infection and detect proteins connected to an immune reaction. Nowadays, a liquid chromatography connected with tandem mass spectrometry (LC-MS/MS) is one of the most used methods for this purpose. This study was aimed at detection and identification of proteins after homogenization and extraction from the porcine lung tissue cryosections by applying LC-MS/MS method using high-performance liquid chromatography-electrospray ionisation quadrupole-quadrupole time-of-flight mass spectrometry (HPLC-ESI-QqTOF MS).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10405 - Electrochemistry (dry cells, batteries, fuel cells, corrosion metals, electrolysis)
Result continuities
Project
<a href="/en/project/LQ1601" target="_blank" >LQ1601: CEITEC 2020</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MENDELNET 2019: PROCEEDINGS OF 26TH INTERNATIONAL PHD STUDENTS CONFERENCE
ISBN
978-80-7509-688-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
563-568
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Brno
Event date
Nov 6, 2019
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
000576735500101