@phdthesis{Jansch2021,
  author    = {Jansch, Charline},
  title     = {Effects of SLC2A3 copy number variants on neurodevelopment and glucose metabolism in ADHD patient-specific neurons},
  doi       = {10.25972/OPUS-21620},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-216201},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {Neuropsychiatric disorders, such as attention-deficit/hyperactivity disorder (ADHD), represent a burden which deeply impair the patient's life. Neurobiological research has therefore increasingly focused on the examination of brain neurotransmitter systems, such as the serotonin (5-HT) system, since a dysfunction has been repeatedly implicated in the pathology of these diseases. However, investigation of functional human neurons in vitro has been restricted by technical limitations for a long time until the discovery of human induced pluripotent stem cells (iPSCs) revolutionized the field of experimental disease models. Since the pathogenesis of neuropsychiatric disorders involves a complex genetic component, genome-wide association studies (GWAS) revealed numerous risk genes that are associated with an increased risk for ADHD. For instance, the novel ADHD candidate gene SLC2A3 which encodes the glucose transporter-3 (GLUT3), facilitates the transport of glucose across plasma membranes and is essential for the high energy demand of several cell types, such as stem cells and neurons. Specifically, copy number variants (CNVs) of SLC2A3 might therefore impact cerebral glucose metabolism as well as the assembly of synaptic proteins in human neurons which might contribute to the pathogenesis of ADHD. We hypothesized that an altered SLC2A3 gene dosage in human neurons can exert diverse protective or detrimental effects on neurodevelopmental processes as well as the coping of glucometabolic stress events, such as hypo- and hyperglycaemic conditions. The generation of specific iPSC lines from ADHD patients and healthy probands served as basis to efficiently differentiate stem cells into 5-HT specific neurons. Using this neuronal culture, we were able to examine effects of SLC2A3 CNVs on the basal expression of SCL2A3 and GLUT3 in human neurons. Furthermore, the focus was on potentially altered coping of the cells with glucose deprivation and the treatment with specific high- and low glycaemic media. High-resolution fluorescence imaging in combination with electrophysiological and molecular biological techniques showed that: 1) The generated human iPSCs are fully reprogrammed human stem cells showing typical characteristics of embryonic stem cell-like morphology, growth behaviour, the ability to differentiate into different cell types of the human body and the expression of pluripotency-specific markers. 2) The neuronal subtype derived from our stem cells display typical characteristics of 5-HT specific median and dorsal neurons and forms synapses reflected by the expression of pre- and postsynaptic proteins. 3) Even if SLC2A3 CNVs influence SLC2A3 and GLUT3 basal expression, no significant alterations in gene and protein expression caused by hyper- and hypoglycaemic conditions, nor in the assembly of proteins associated with synapse formation could be observed in human iPSC-derived neurons.},
  subject      = {Stammzelle},
  language  = {en}
}
@phdthesis{Vershenya2010,
  author    = {Vershenya, Stanislav},
  title     = {Quantitative and qualitative analyses of in-paralogs},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-51358},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2010},
  abstract  = {In our analysis I was interested in the gene duplications, with focus on in-paralogs. In-paralogs are gene duplicates which arose after species split. Here I analysed the in-paralogs quantitatively, as well as qualitatively. For quantitative analysis genomes of 21 species were taken. Most of them have vastly different lifestyles with maximum evolutionary distance between them 1100 million years. Species included mammals, fish, insects and worm, plus some other chordates. All the species were pairwised analysed by the Inparanoid software, and in-paralogs matrix were built representing number of in-paralogs in all vs. all manner. Based on the in-paralogs matrix I tried to reconstruct the evolutionary tree using in-paralog numbers as evolutionary distance. If all 21 species were used the resulting tree was very far from real one: a lot of species were misplaced. However if the number was reduced to 12, all of the species were placed correctly with only difference being wrong insect and fish clusters switched. Then to in-paralogs matrix the neighbour-net algorithm was applied. The resulting "net" tree showed the species with fast or slow duplications rates compared to the others. We could identify species with very high or very low duplications frequencies and it correlates with known occurrences of the whole genome duplications. As the next step I built the graphs for every single species showing the correlation between their in-paralogs number and evolutionary distance. As we have 21 species, graph for every species is built using 20 points. Coordinates of the points are set using the evolutionary distance to that particular species and in-paralogs number. In mammals with increasing the distance from speciation the in-paralogs number also increased, however not in linear fashion. In fish and insects the graph close to zero is just the same in mammals' case. However, after reaching the evolutionary distances more than 800 million years the number of inparalogs is beginning to decrease. We also made a simulation of gene duplications for all 21 species and all the splits according to the fossil and molecular clock data from literature. In our simulation duplication frequency was minimal closer to the past and maximum in the near-present time. Resulting curves had the same shape the experimental data ones. In case of fish and insect for simulation the duplication rate coefficient even had to be set negative in order to repeat experimental curve shape. To the duplication rate coefficient in our simulation contribute 2 criteria: gene duplications and gene losses. As gene duplication is stochastical process it should always be a constant. So the changing in the coefficient should be solely explained by the increasing gene loss of old genes. The processes are explained by the evolution model with high gene duplication and loss ratio. The drop in number of in-paralogs is probably due to the BLAST algorithm. It is observed in comparing highly divergent species and BLAST cannot find the orthologs so precisely anymore. In the second part of my work I concentrated more on the specific function of inparalogs. Because such analysis is time-consuming it could be done on the limited number species. Here I used three insects: Drosophila melanogaster (fruit y), Anopheles gambiae (mosquito) and Apis mellifera (honeybee). After Inparnoid analyses and I listed the cluster of orthologs. Functional analyses of all listed genes were done using GO annotations and also KEGG PATHWAY database. We found, that the gene duplication pattern is unique for each species and that this uniqueness is rejected through the differences in functional classes of duplicated genes. The preferences for some classes reject the evolutionary trends of the last 350 million years and allow assumptions on the role of those genes duplications in the lifestyle of species. Furthermore, the observed gene duplications allowed me to find connections between genomic changes and their phenotypic manifestations. For example I found duplications within carbohydrate metabolism rejecting feed pattern adaptation, within photo- and olfactory-receptors indicating sensing adaptation and within troponin indicating adaptations in the development. Despite these species specific differences, found high correlations between the independently duplicated genes between the species. This might hint for a "pool" of genes preferentially duplicated. Taken together, the observed duplication patterns reject the adaptational process and provide us another link to the field of genomic zoology.},
  subject      = {Duplikation},
  language  = {en}
}
@phdthesis{Schulz2010,
  author    = {Schulz, Sandra},
  title     = {The Contribution of Common and Rare Variants to the Complex Genetics of Psychiatric Disorders},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-50677},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2010},
  abstract  = {Attention deficit/hyperactivity disorder (ADHD), one of the most frequent childhood-onset, chronic and lifelong neurodevelopmental diseases, affects 5 - 10\% of school - aged children and adolescents, and 4\% of adults. The classified basic symptoms are - according to the diagnostic system DSM-VI - inattentiveness, impulsivity and hyperactivity. Also daily life of patients is impaired by learning problems, relationship crises, conflicts with authority and unemployment, but also comorbidities like sleep - and eating problems, mood - and anxiety disorders, depression and substance abuse disorders are frequently observed. Although several twin and family studies have suggested heritability of ADHD, the likely involvement of multiple genes and environmental factors has hampered the elucidation of its etiology and pathogenesis. Due to the successful medication of ADHD with dopaminergic drugs like methylphenidate, up to now, the search for candidate genes has mainly focused on the dopaminergic and - because of strong interactions - the serotonergic system, including the already analyzed candidate genes DAT1, DRD4 and 5, DBH or 5-HTTLPR. Recently, DNA copy number changes have been implicated in the development of a number of neurodevelopmental diseases and the analysis of chromosomal gains and losses by Array Comparative Genomic Hybridization (Array CGH) has turned out a successful strategy to identify disease associated genes. Here we present the first systematic screen for chromosomal imbalances in ADHD using sub-megabase resolution Array CGH. To detect micro-deletions and -duplications which may play a role in the pathogenesis of ADHD, we carried out a genome-wide screen for copy number variations (CNVs) in a cohort of 99 children and adolescents with severe ADHD. Using high-resolution aCGH, a total of 17 potentially syndrome-associated CNVs were identified. The aberrations comprise four deletions and 13 duplications with approximate sizes ranging from 110 kb to 3 Mb. Two CNVs occurred de novo and nine were inherited from a parent with ADHD, whereas five are transmitted by an unaffected parent. Candidates include genes expressing acetylcholine-metabolising butyrylcholinesterase (BCHE), contained in a de novo chromosome 3q26.1 deletion, and a brain-specific pleckstrin homology domain-containing protein (PLEKHB1), with an established function in primary sensory neurons, in two siblings carrying a 11q13.4 duplication inherited from their affected mother. Other genes potentially influencing ADHD-related psychopathology and involved in aberrations inherited from affected parents are the genes for the mitochondrial NADH dehydrogenase 1 alpha subcomplex assembly factor 2 (NDUFAF2), the brain-specific phosphodiesterase 4D isoform 6 (PDE4D6), and the neuronal glucose transporter 3 (SLC2A3). The gene encoding neuropeptide Y (NPY) was included in a ~3 Mb duplication on chromosome 7p15.2-15.3, and investigation of additional family members showed a nominally significant association of this 7p15 duplication with increased NPY plasma concentrations (empirical FBAT, p = 0.023). Lower activation of the left ventral striatum and left posterior insula during anticipation of large rewards or losses elicited by fMRI links gene dose-dependent increases in NPY to reward and emotion processing in duplication carriers. Additionally, further candidate genes were examined via Matrix assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS). This method enables the analysis of SNPs directly from human genomic DNA without the need for initial target amplification by PCR. All these findings implicate CNVs of behavior-related genes in the pathogenesis of ADHD and are consistent with the notion that both frequent and rare variants influence the development of this common multifactorial syndrome. The second part of this work concentrates on MLC1, a gene associated with Megalencephalic leukoencephalopathy with subcortical cysts, located on chromosome 22q13.33. To get more insight in the disease itself, a targeting vector for a conditional knockout mouse was constructed using homologous recombination. Furthermore, MLC1 has been suggested as a risk gene for schizophrenia, especially the periodic catatonia subtype. An initially identified missense mutation was found to be extremely rare in other patient cohorts; however, a recent report again argued for an association of two intronic MLC1 SNPs with schizophrenia and bipolar disorder. A case-control study of these polymorphisms as well as SNPs in the transcriptional control region of MLC1 was conducted in 212 chronic schizophrenic patients, 56 of which suffered from periodic catatonia, 106 bipolar patients, and 284 controls. Both intronic and promoter polymorphisms were specifically and significantly associated with periodic catatonia but not schizophrenia or bipolar disorder in general. A haplotype constructed from all polymorphisms was also associated with periodic catatonia. The MLC1 variation is associated with periodic catatonia; whether it constitutes a susceptibility or a modifier gene has to be determined.},
  subject      = {Aufmerksamkeits-Defizit-Syndrom},
  language  = {en}
}