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Gene regulatory network inference based on mutual information in non-model organisms
Pirkl, Petr ; Sedlář, Karel (referee) ; Musilová, Jana (advisor)
The thesis is focused on summary of laboratory methods for determining gene expression, data preprocessing procedures and possible tools used to infere gene regulatory networks. Furthermore, the thesis handles with the pre-processing of data. It means create count table and normalize it. It was use data from the non-model organism Clostridium beijerinckii NRRL B-598. The main parts of the thesis are designed an algorithm for the creation of a gene regulatory network using mutual information and its implementation in the R language. This include testing the algorithm on data from the non-model organism and the gold standard.
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Gene regulatory network inference based on mutual information in non-model organisms
Pirkl, Petr ; Sedlář, Karel (referee) ; Musilová, Jana (advisor)
The thesis is focused on summary of laboratory methods for determining gene expression, data preprocessing procedures and possible tools used to infere gene regulatory networks. Furthermore, the thesis handles with the pre-processing of data. It means create count table and normalize it. It was use data from the non-model organism Clostridium beijerinckii NRRL B-598. The main parts of the thesis are designed an algorithm for the creation of a gene regulatory network using mutual information and its implementation in the R language. This include testing the algorithm on data from the non-model organism and the gold standard.
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Identification and modeling of gene expression regulatory networks during streptomycetes germination
Straková, Eva ; Vohradský, Jiří (advisor) ; Stopka, Pavel (referee) ; Vondrášek, Jiří (referee)
Streptomycetes have been studied mostly as producers of antibiotics and for fundamentals of complex bacterial cell development. Here, transcriptomic and proteomic approaches were applied to systems study of Streptomyces coelicolor germination as a developmental transition from dormancy to the vegetative stage. The time dynamics of the gene expression levels represented by mRNA and intracellular protein accumulation and synthesis were measured throughout 5.5 h of germination at 13 time points by employing both DNA microarray and two-dimensional gel electrophoresis techniques. Using a numerical model of gene expression, genetic networks were reconstructed and functional groups of genes controlled by the sigma factors were identified. Modeling of the regulatory interactions provided a set of parameters allowing simulate kinetics of gene expression control among the sigma factors and their target genes. Particularly regulons of two sigma factors, SigR and HrdD, were identified. The analysis assigned their key role during the germination process. Analysis of global trends in the gene/protein expression revealed that the full capability of regulatory mechanisms responding to the environmental cues is reached within the first hour of germination, and identified the basic gene/protein functional groups...
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Identification and modeling of gene expression regulatory networks during streptomycetes germination
Straková, Eva ; Vohradský, Jiří (advisor) ; Stopka, Pavel (referee) ; Vondrášek, Jiří (referee)
Streptomycetes have been studied mostly as producers of antibiotics and for fundamentals of complex bacterial cell development. Here, transcriptomic and proteomic approaches were applied to systems study of Streptomyces coelicolor germination as a developmental transition from dormancy to the vegetative stage. The time dynamics of the gene expression levels represented by mRNA and intracellular protein accumulation and synthesis were measured throughout 5.5 h of germination at 13 time points by employing both DNA microarray and two-dimensional gel electrophoresis techniques. Using a numerical model of gene expression, genetic networks were reconstructed and functional groups of genes controlled by the sigma factors were identified. Modeling of the regulatory interactions provided a set of parameters allowing simulate kinetics of gene expression control among the sigma factors and their target genes. Particularly regulons of two sigma factors, SigR and HrdD, were identified. The analysis assigned their key role during the germination process. Analysis of global trends in the gene/protein expression revealed that the full capability of regulatory mechanisms responding to the environmental cues is reached within the first hour of germination, and identified the basic gene/protein functional groups...
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