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PhD Defence: Nikolai Hecker | 
            
        
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2016-09-19: RNA secondary structure flexibility and gene regulation inside the human brain. The defence will take place on Sep 19th, 13:15-16.15 in Festauditoriet (Aud. A1-01.01), Bülowsvej 17, 1870 Frederiksberg C.
Everybody is welcome. Registration is not necessary.
Reception around 16:15 at the Library (buliding 1.04), Grønnegårdvej 7, DK-1870 Frederiksberg C
Assessment Committee:
(Chairperson) Professor Thomas Litman
Associate Professor Kay Nieselt
Professor Daniel Gautheret
Supervisor: Professor Jan Gorodkin
Abstract
Transcriptional and post-transcriptional regulation of gene expression  is essential for the fate and function of any cell in eukaryotes and of  bacteria. Through gene regulation, eukaryotes are able to develop  diverse tissues with distinct and complex functions such as the human  brain. Two of the most important features of gene regulation are  transcription factors and regulatory elements inside mRNAs. Folding into  RNA structures is necessary for some of these regulatory elements to be  functional. For such regulatory elements, the sequence composition  including flanking regions formed by adjacent nucleotides may impact  folding into the proper RNA structure. Other RNA structures such as  riboswitches, a class of regulatory elements in bacteria, rely on the  dynamic rearrangement of RNA structures for altering gene expression.
In  this PhD project, potential features involved in gene regulation of  human brain tissues were investigated and the flexibility of RNA  secondary structures was examined in two different contexts. 
The  impact of flanking regions towards folding into a specified RNA  secondary structure was studied for regulatory elements in mRNAs and  novel RNA structure predictions. For this purpose, a computational  approach, RNAcop, was developed for assessing and optimizing flanking  regions. Optimizing flanking regions can be in particular relevant for  in vitro RNA folding experiments that require extracting a smaller  structured RNA fragment from a large transcript, e.g. a regulatory  element from a mRNA. The results of the computational analysis supported  by in vitro experiments indicate that different flanking regions  influence the probability towards folding into a specified structure for  the majority of structures. Optimizing flanking regions may be crucial  for examining at least 4% of the analyzed RNA structures. For studying  RNA secondary structure dynamics, the computational framework  FRETtranslator was developed. FRETtranslator combines RNA secondary  structure kinetics and RNA 3D structure sampling into a HMM for decoding  smFRET time series into sequences RNA secondary structures. The  structural transition of a preQ1-riboswitch was successfully predicted  by FRETtranslator and FRETtranslator holds the potential to investigate  RNA structure transitions of more complex RNAs. 
Another part of this  PhD project is concerned with gene regulation inside the human brain.  Thirteen transcription factors that show a localized contribution to  gene expression in a specific brain tissue and four transcriptions  factors with globally strong contributions to gene expression were  identified based on a regression approach. Several of these  transcription factors could be associated with relevant functions for  the human brain. Potentially related to post-transcriptional regulation,  differentially expressed genes in different brain tissues showed an  enrichment for known regulatory elements such as RNA-protein binding  sites or AU-rich elements including regulatory elements that overlap RNA  secondary structure predictions. Using these sets of enriched  regulatory elements, four RNA secondary structure motifs were identified  that are potentially involved in the regulation of gene expression. In  another contribution of this PhD project, approaches based on  phylogenetic conservation for predicting RNA-protein binding sites and  RNA-RNA interactions that are potentially involved in regulation of a  transcript are demonstrated on the example of a ncRNA which may play a  role in cerebellar ataxia.
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