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master's thesis
Računalna analiza metagenoma probavnog sustava bolesnika s cirozom jetre
Zagreb: University of Zagreb, Faculty of Science, 2015. urn:nbn:hr:217:822043
Fabijanić, Maja
University of Zagreb
Faculty of Science
Department of Biology

Institutional repository: Repository of the Faculty of Science

Cite this document

Fabijanić, M. (2015). Računalna analiza metagenoma probavnog sustava bolesnika s cirozom jetre (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:822043

Fabijanić, Maja. "Računalna analiza metagenoma probavnog sustava bolesnika s cirozom jetre." Master's thesis, University of Zagreb, Faculty of Science, 2015. https://urn.nsk.hr/urn:nbn:hr:217:822043

Fabijanić, Maja. "Računalna analiza metagenoma probavnog sustava bolesnika s cirozom jetre." Master's thesis, University of Zagreb, Faculty of Science, 2015. https://urn.nsk.hr/urn:nbn:hr:217:822043

Fabijanić, M. (2015). 'Računalna analiza metagenoma probavnog sustava bolesnika s cirozom jetre', Master's thesis, University of Zagreb, Faculty of Science, accessed 22 November 2024, https://urn.nsk.hr/urn:nbn:hr:217:822043

Fabijanić M. Računalna analiza metagenoma probavnog sustava bolesnika s cirozom jetre [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2015 [cited 2024 November 22] Available at: https://urn.nsk.hr/urn:nbn:hr:217:822043

M. Fabijanić, "Računalna analiza metagenoma probavnog sustava bolesnika s cirozom jetre", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:217:822043

Metadata
TitleRačunalna analiza metagenoma probavnog sustava bolesnika s cirozom jetre
Title (english)Computational analysis of metagenomes of the intestinal tract in patients with liver cirrhosis
AuthorMaja Fabijanić
MentorKristian Vlahoviček (mentor)
Committee memberKristian Vlahoviček (predsjednik povjerenstva)
Committee memberDamjan Franjević (član povjerenstva)
Committee memberMartina Šeruga Musić (član povjerenstva)
Committee memberDunja Leljak-Levanić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Biology)
Zagreb
Defense date and country2015-06-30, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Biology
Abstract
Prokarioti zauzimaju dvije od tri domene života, a samo se 1-5% bakterija može uzgojiti u laboratorijskim uvjetima. Metabolizam čovjeka ne bi bio potpun bez metabolizma mikroba koji ga nastanjuju, a oni imaju utjecaja i u raznim bolestima kao što su pretilost, upalna bolest crijeva, simptomatična ateroskleroza i bolesti jetre. Metagenomika je pristup koji nam omogućava proučavanje mikrobnih genoma uzorkovanjem izravno iz okoliša, nakom čega analizom obrazaca upotrebe sinonimnih kodona možemo odrediti gene optimirane za translaciju što je u korelaciji s ekspresijom tih gena. Na ovaj način odredila sam razinu translacijske optimizacije gena u crijevnim metagenomima bolesnika s cirozom jetre i usporedila ju sa onom zdravih pojedinaca. Gene sam prema razini translacijske optimizacije i ishodišnom uzorku klasificirala u skupine povezane sa zdravim i bolesnim fenotipom, a zatim i razvrstala u pripadne metaboličke putove. Nejednaka zastupljenost translacijski optimiranih gena u različitim metaboličkim putovima crijevnih mikrobnih zajednica zdravih i bolesnih pojedinaca otvara mogućnost za olakšanu djagnostiku ciroze jetre ali i mehanistički uvid u interakciju između mikrobnog i ljudskog metabolizma u razvoju bolesti.
Abstract (english)
Prokaryotes occupy two of the three domains of life, and only 1-5% of bacteria can be grown in laboratory conditions. Human metabolism would not be complete without metabolism of microbes that inhabit it, and they have an impact in various diseases such as obesity, inflammatory bowel disease, symptomatic atherosclerosis and liver disease. Metagenomics is an approach that allows us to study the microbial genome by sampling directly from the environment, followed by analyzing patterns of use of synonymous codons. In this way I determined the level of translational optimization of genes in intestinal metagenomes of cirrhotic patients and compared it with that of healthy individuals. Based on levels of translational optimization and initial sample, I have classified genes into groups associated with healthy and diseased phenotype, and then sorted them in their corresponding metabolic pathways. Unequal representation of translationally optimized genes in different metabolic pathways of intestinal microbial communities of healthy and sick individuals opens up a possibility for easier diagnosis of liver cirrhosis as well as mechanistic insight into the interaction between microbial and human metabolism in development of this disease.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:822043
Study programmeTitle: Molecular Biology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra molekularne biologije (magistar/magistra molekularne biologije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2017-04-21 09:51:14