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Title:
BIOINFORMATSKA ANALIZA MOLEKULARNO BIOLOŠKIH POTI RAKA MATERNIČNEGA VRATU
Authors:
ID
Ferlež, Maja
(Author)
ID
Potočnik, Uroš
(Mentor)
More about this mentor...
ID
Repnik, Katja
(Comentor)
Files:
UN_Ferlez_Maja_2016.pdf
(1,44 MB)
MD5: 3EC3EDF7EE4C0539CB4AC6B7A1D4101A
Language:
Slovenian
Work type:
Undergraduate thesis
Typology:
2.11 - Undergraduate Thesis
Organization:
FKKT - Faculty of Chemistry and Chemical Engineering
Abstract:
Rak je kompleksna genetska bolezen. Na nastanek in razvoj raka vplivajo tako okoljski dejavniki kot tudi sama genetika. Med vrste raka spada tudi rak materničnega vratu. V diplomski nalogi smo se opredelili na RMV in njegove podoblike ( SCC, AC, ASC, MM). RMV je eden od najpogostejših vzrokov smrti zaradi raka pri ženskah. Pojavlja se v različnih oblikah in je zelo heterogena bolezen. Glavni namen diplomske naloge je bil s podatkovnimi zbirkami genske ontologije in ustreznimi bioinformatskimi orodji ( DAVID 6.7, BioMart) identificirati oziroma raziskati genetiko posamezne podoblike RMV in na podlagi dobljenih zadetkov predpostaviti molekularno biološko pot nastanka različnih oblik RMV. Nadaljnji namen naloge je bil z bioinformatskimi orodji poiskati skupne gene in biološke mehanizme, ki vodijo do nastanka različnih oblik RMV. S pomočjo GWA študij smo dobili 6 skupnih genov in 4 biološke poti. Zaradi pomanjkanj raziskav RMV pa smo se opredelili tudi na gene, ki sodelujejo pri somatskih mutacijah. S pomočjo podatkovnih zbirk in orodij genske ontologije smo dobili 6 skupnih genov in 16 bioloških poti. Ti rezultati naj bi nam dali boljši vpogled v sam nastanek in razvoj te bolezni ter napredek pri iskanju novih možnosti za zdravljenje te bolezni.
Keywords:
Rak materničnega vratu ( RMV)
,
ploščatocelični karcinom ( SCC)
,
adenokarcinom ( AC)
,
ploščatocelični adenokarcinom ( ASC)
,
maligni melanom ( MM)
,
Gene Ontology (GO)
,
DAVID 6.7
,
biološka pot
,
asociacijska študija ( GWA)
Place of publishing:
Maribor
Publisher:
[M. Ferlež]
Year of publishing:
2016
PID:
20.500.12556/DKUM-63604
UDC:
618.14-006(043.2)
COBISS.SI-ID:
20097302
NUK URN:
URN:SI:UM:DK:DLMEBF16
Publication date in DKUM:
04.10.2016
Views:
2050
Downloads:
126
Metadata:
Categories:
KTFMB - FKKT
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:
FERLEŽ, Maja, 2016,
BIOINFORMATSKA ANALIZA MOLEKULARNO BIOLOŠKIH POTI RAKA MATERNIČNEGA VRATU
[online]. Bachelor’s thesis. Maribor : M. Ferlež. [Accessed 15 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=63604
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Secondary language
Language:
English
Title:
BIOINFORMATIC ANALYSIS OF MOLECULAR BIOLOGICAL PATHWAYS OF CERVICAL CANCER
Abstract:
Cancer is a complex genetic disease. On the formation and development of cancer affecting both environmental factors as well as genetics itself. Among the types of cancer includes cancer of the cervix. In this thesis we have identified in cervical cancer and its subspecies (SCC, AC, ASC, MM). RMV is one of the most common causes of cancer deaths in women. It appears in various forms and is a very heterogeneous disease. The main purpose of this study was to gene ontology databases and corresponding bioinformatics tools (DAVID 6.7, Biomart) to identify and investigate the genetics of a particular subspecies of cervical cancer and on the basis of the results received to assume a molecular biological route of various forms of cervical cancer. A further aim of the study was to bioinformatics tools to find common genes and biological mechanisms that lead to the formation of various forms of cervical cancer. Through GWA studies give 6 shared genes and 4 of a biological pathway. Due to the lack of research RMV, we are also determined to genes involved in somatic mutations. With the help of databases and tools of gene ontology we got 6 common genes and 16 biological way. These results should give us a better insight into the origins and development of this disease and the progress made in the search for new treatment options for this disease.
Keywords:
Cancer of the cervix (cervical cancer)
,
squamous cell carcinoma (SCC) and adenocarcinoma (AC)
,
squamous adenocarcinoma (ASC)
,
malignant melanoma (MM)
,
Gene Ontology (GO)
,
DAVID 6.7
,
a biological way
,
association studies (GWA)
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