| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Analiza bioloških poti z uporabo orodij genske ontologije za gene povezane z astmo
Authors:ID Koren, Marina (Author)
ID Potočnik, Uroš (Mentor) More about this mentor... New window
ID Repnik, Katja (Comentor)
Files:.pdf UN_Koren_Marina_2017.pdf (3,39 MB)
MD5: BD2E4F3184B2830BF75D15CBA59DE0AF
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FKKT - Faculty of Chemistry and Chemical Engineering
Abstract:Povzetek Astma je kronična bolezen, pri kateri ima bolnik stalno prisotno vnetje dihalnih poti. To vnetje je povezano predvsem s preobčutljivostjo in preodzivnostjo dihal na različne dražljaje ali sprožilce v okolju, k nastanku bolezni pa prispeva tudi genetski zapis posameznika. Bolezen je vse pogostejša v razvitem svetu. Kljub temu da obstoječa terapija zagotavja uspešen nadzor nad boleznijo, delež bolnikov, ki se na zdravila ne odzivajo, ostaja razmeroma velik. Zato je nujen nadaljnji razvoj v smeri odkrivanja novih načinov zdravljenja. Velik napredek na področju genetike astme so prinesle asociacijske študije na celotnem genomu (GWAs, ang. za genome wide association studies), saj so odkrile več novih potencialnih genov, ki vplivajo na pojav astme. V diplomskem delu smo naredili obsežen pregled literature, s pomočjo katere smo iz GWA študij izpisali potencialne gene in polimorfizme posameznega nukleotida (SNP, ang. za single nucleotide polymorphism), ki so pokazali povezavo z razvojem astme. Nato smo z orodji genske ontologije prišli do ožjega izbora SNP-jev, iz katerega smo izbrali najprimernejši SNP za analizo pri slovenskih bolnikih z astmo in zdravih posameznikih. Pri eksperimentalnem delu smo uporabili metodo PCR-HRM, s katero smo genotipizirali izbran SNP. Na podlagi asociacijske študije smo ugotovili, da izbran SNP na genu IL33 ni povezan z astmo pri slovenskih otrocih. Glede na te rezultate bi bilo smiselno, da se seznam genov, ki smo ga po uporabi orodij genske ontologije dobili, uporabili za nadaljnje analize v tej smeri tako, da se analizira tudi druge gene in njihove SNP-je. Tako bi dobili širšo sliko o tem, kako se razvije astma in kakšni dejavniki na to najbolj vplivajo. Glede na ta spoznanja bi lahko nadgradili in razvili nova zdravila in načine zdravljenja, ki bi vse več bolnikom omogočili boljše in kvalitetnejše življenje kljub obolelosti za astmo.
Keywords:astma, GWA študije, HRM metoda, IL33, orodja genske ontologije
Place of publishing:Maribor
Publisher:[M. Kresnik]
Year of publishing:2017
PID:20.500.12556/DKUM-66546 New window
UDC:575_616.248(043.2)
COBISS.SI-ID:20695062 New window
NUK URN:URN:SI:UM:DK:4FQPDTGV
Publication date in DKUM:26.07.2017
Views:2795
Downloads:123
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FKKT
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:30.06.2017

Secondary language

Language:English
Title:The analysis of biological mechanisms by applying instruments of genetic ontology for asthma-related genes
Abstract:Abstract Asthma is a chronic disease. Patients suffer from temporary infection of respiratory system. This infection is mainly associated with the over-sensibility and over-reactivity of the respiratory system due to various environmental impacts or triggers, whereas the genetic code of an individuum is of crucial importance for the development of the disease. Prevalence of asthma is estimated to be increasing in the modern world. Although modern therapy methods enable effective control over the disease, the number of patients who don’t respond to medications stays relatively high. Further studies to find new treatment strategies are needed. Genome wide association studies have improved the findings in the field of genetics, as they have uncovered many potential genes potentially responsible for asthma. In present work we analysed a large amount of scientific papers on GWA studies and collected all potential genes and single nucleotide polymorphisms that were reported to be associated with asthma. The list of SNPs has been shortened with help of the gene ontology tools. The shortened list has provided the most suitable SNP for analysis in Slovene asthma patients and healthy individuals. Selected SNP has been genotyped using PCR-HRM method. The results have shown that there is no statistically significant association between selected SNP in the IL33 gene and Slovene asthma children. It is recommendable to use the listed genes for further analysis. This way we would get a stronger insight on how asthma appears and which major effects have the strongest influence on the disease. The existing medications could be improved and new ones could be developed in combination with treatments increasing the life quality of asthma patients.
Keywords:asthma, GWA studies, HRM method, IL33, instruments of genetic ontology


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica