Dissertations / Theses on the topic 'Sequence Analysis, DNA – methods'

Sequence similarity searching is commonly used to help clarify the biochemical and physiological features of newly discovered genes or proteins. An efficient similarity search relies on the choice of tools and their associated subprograms and numerous parameter settings. To assist researchers in selecting optimal programs and parameter settings for efficient sequence similarity searches, the web-based expert system, Smart Sequence Similarity Search (S4) was developed.

Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2007.<br>Title from electronic title page (viewed Dec. 18, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Biostatistics, School of Public Health." Discipline: Biostatistics; Department/School: Public Health.

Introduction: As a part of the Gene Regulators in Disease project (GRID), this study aims to create a novel high throughput method to discover the genetic effect on gene translation, taking advantage of the rationale that efficiently translated mRNAs associate with multiple ribosomes, while less active ones with fewer or none.<br>Methods: Lymphoblastoid cell lines (LCLs) from 44 HapMap European individuals were used for polyribosomal fractionation and establishing the sample bank for the future study. The fractionated mRNA samples of 10 out of the 44 individuals were run on an Illumina GoldenGate Beadarray to detect allelic imbalance (developed by the group of T.J. Hudson and T.M. Pastinen).<br>Results: This study established a high-quality RNA bank, including 1,100 RNA fraction samples. By the Illumina chip, translational imbalance was detected in 75 out of 1483 (5.06%) assays, and 63 out of269 (23.4%) genes. The translational effect was well replicable by the resequencing method.<br>Conclusion: This study found that genetic effect on gene translation is a common mechanism of expression regulation. Our best hit found in the integrin beta 1 binding protein 1 gene (ITGB1BP1 ) highlights the role of mRNA 3'UTR secondary structure in gene translation.<br>Keywords: Gene translation, High throughput genotyping, Human genetics, Polyribosome, RNA, Single nucleotide polymorphism

Position weight matrices (PWMs) have become a tool of choice for the identification of transcription factor binding sites in DNA sequences. PWMs are compiled from experimentally verified and aligned binding sequences. PWMs are then used to computationally discover novel putative binding sites for a given protein. DNA-binding proteins often show degeneracy in their binding requirement, the overall binding specificity of many proteins is unknown and remains an active area of research. Although PWMs are more reliable predictors than consensus string matching, they generally result in a high number of false positive hits. A previous study introduced a novel method to PWM training based on the known motifs to sample additional putative binding sites from a proximal promoter area. The core idea was further developed, implemented and tested in this thesis with a large scale application. Improved mono- and dinucleotide PWMs were computed for Drosophila melanogaster. The Matthews correlation coefficient was used as an optimization criterion in the PWM refinement algorithm. New PWMs keep an account of non-uniform background nucleotide distributions on the promoters and consider a larger number of new binding sites during the refinement steps. The optimization included the PWM motif length, the position on the promoter, the threshold value and the binding site location. The obtained predictions were compared for mono- and dinucleotide PWM versions with initial matrices and with conventional tools. The optimized PWMs predicted new binding sites with better accuracy than conventional PWMs.

Thesis (Ph. D.)--University of California, San Diego and San Diego State University, 2006.<br>Title from first page of PDF file (viewed December 12, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.

Questa tesi si inserisce nell'ambito delle analisi statistiche e dei metodi stocastici applicati all'analisi delle sequenze di DNA. Nello specifico il nostro lavoro è incentrato sullo studio del dinucleotide CG (CpG) all'interno del genoma umano, che si trova raggruppato in zone specifiche denominate CpG islands. Queste sono legate alla metilazione del DNA, un processo che riveste un ruolo fondamentale nella regolazione genica. La prima parte dello studio è dedicata a una caratterizzazione globale del contenuto e della distribuzione dei 16 diversi dinucleotidi all'interno del genoma umano: in particolare viene studiata la distribuzione delle distanze tra occorrenze successive dello stesso dinucleotide lungo la sequenza. I risultati vengono confrontati con diversi modelli nulli: sequenze random generate con catene di Markov di ordine zero (basate sulle frequenze relative dei nucleotidi) e uno (basate sulle probabilità di transizione tra diversi nucleotidi) e la distribuzione geometrica per le distanze. Da questa analisi le proprietà caratteristiche del dinucleotide CpG emergono chiaramente, sia dal confronto con gli altri dinucleotidi che con i modelli random. A seguito di questa prima parte abbiamo scelto di concentrare le successive analisi in zone di interesse biologico, studiando l’abbondanza e la distribuzione di CpG al loro interno (CpG islands, promotori e Lamina Associated Domains). Nei primi due casi si osserva un forte arricchimento nel contenuto di CpG, e la distribuzione delle distanze è spostata verso valori inferiori, indicando che questo dinucleotide è clusterizzato. All’interno delle LADs si trovano mediamente meno CpG e questi presentano distanze maggiori. Infine abbiamo adottato una rappresentazione a random walk del DNA, costruita in base al posizionamento dei dinucleotidi: il walk ottenuto presenta caratteristiche drasticamente diverse all’interno e all’esterno di zone annotate come CpG island. Riteniamo pertanto che metodi basati su questo approccio potrebbero essere sfruttati per migliorare l’individuazione di queste aree di interesse nel genoma umano e di altri organismi.

<p>Megasatellites are polymorphic tandem repetitive sequences with repeat-units longer than or equal to 1000 base pairs. The novel algorithm Megasatfinder predicts megasatellites in the human genome. A structured method of analysing the algorithm is developed and conducted. The analysis method consists of six test scenarios. Scripts are created, which execute the algorithm using various parameter settings. Three nucleotide sequences are applied; a real sequence extracted from the human genome and two random sequences, generated using different base probabilities. Usability and accuracy are investigated, providing the user with confidence in the algorithm and its output. The results indicate that Megasatfinder is an excellent tool for the detection of megasatellites and that the generated results are highly reliable. The results of the complete analysis suggest alterations in the default parameter settings, presented as user guidelines, and state that artificially generated sequences are not applicable as models for real DNA in computational simulations.</p>

Infecções invasivas por Trichosporon spp. ocorrem com maior frequência em pacientes neutropênicos, principalmente portadores de doenças hematológicas malignas, e estão associadas a elevados índices de mortalidade devido às dificuldades na identificação do patógeno e à resistência aos fármacos mais empregados na terapêutica antifúngica. A identificação das espécies de Trichosporon é importante tanto para estudos epidemiológicos, como para associar aspectos clínicos com as espécies causadoras das infecções. Além disso, auxilia no tratamento da enfermidade, uma vez que a suscetibilidades aos fármacos antifúngicos pode variar de acordo com a espécie. Além disso, as leveduras do gênero Trichosporon sintetizam a glucuronoxilomanana (GXM) em sua parede celular, que pode estar envolvida no mecanismo de virulência do patógeno. Este estudo teve como objetivo determinar, por identificação fenotípica e molecular, espécies isoladas de pacientes internados em unidades hospitalares, comparando os resultados obtidos por ambos os métodos; avaliar diferenças na distribuição dessas espécies em relação às formas invasivas e não invasivas da infecção; determinar o perfil de suscetibilidade dessas leveduras aos antifúngicos, empregando um método de micro-diluição de referência e um método comercial; e avaliar a presença de GXM na parede celular dos isolados. Foram avaliados 74 isolados obtidos de amostras clínicas de pacientes do Hospital das Clinicas da FMUSP e de outras unidades hospitalares do Estado de São Paulo, no período de 2003 a 2011. Dezenove amostras foram isoladas de sítios estéreis do organismo (infecções invasivas) e 55 foram isoladas de urina e cateter (isolados não invasivos). Para a identificação das espécies, os isolados foram submetidos a análises fenotípicas, que incluíram estudo macro e micromorfológico, provas fisiológicas e avaliação do perfil bioquímico por sistema automatizado VITEK 2. A identificação molecular foi realizada pelo sequenciamento das regiões IGS e D1/D2 do DNA ribossomal. O perfil de suscetibilidade dos 74 isolados foi analisado pelo método de micro-diluição EUCAST (referência) com os fármacos fluconazol (FCZ), itraconazol (ITZ), voriconazol (VCZ), cetoconazol (CTZ), anfotericina B (AMB) e 5-fluocitosina (5FC); e pelo método de micro-diluição comercial Sensititre YeastOne, com os mesmos fármacos empregados no EUCAST, acrescidos do posaconazol (POS) e caspofungina (CAS). Os valores das concentrações inibitórias mínimas (CIM), erros categórico e essencial, bem como outros parâmetros foram comparados entre os dois métodos. A presença de GXM na parede celular dos 74 isolados foi determinada por citometria de fluxo, empregando anticorpo monoclonal anti-GXM. Os resultados dos estudos morfológicos e fisiológicos foram insuficientes para definir as espécies dos 74 isolados. Pela assimilação de carboidratos analisada pelo sistema VITEK 2, verificou-se que 71 isolados foram identificados como T. asahii (17 de infecção invasiva e 54 não invasivos), um isolado como T. mucoides (invasivo), e para dois isolados (um invasivo e um não invasivo), a identificação não foi conclusiva. Para estes últimos foi realizado o auxanograma (método manual), e a identificação permaneceu inconclusiva, pois pelo perfil de assimilação, os isolados poderiam ser identificados como T. asahii ou T. faecale. Pela técnica de sequenciamento, 62 dos 74 isolados foram identificados como T. asahii, demonstrando 82,4% de concordância com o sistema VITEK 2. Onze isolados com identificações discordantes pertenciam às espécies T. inkin (8), T. faecale (2) e T. dermatis (1), como determinado por sequenciamento. Dos dois isolados com identificação inconclusiva pelo VITEK 2, um foi identificado pela técnica molecular como T. asahii, enquanto para o outro isolado não foi possível definir a espécie. Portanto, dos 74 isolados do estudo, 62 foram identificados como T. asahii, 8 como T. inkin, 2 como T. faecale e 1 T. dermatis; dois isolados permaneceram sem identificação conclusiva. Os resultados dos testes de suscetibilidade in vitro mostraram que, em ambos os métodos, VCZ apresentou a melhor atividade antifúngica. Pelo método EUCAST, foram obtidos valores elevados de CIM para AMB, enquanto o mesmo não foi observado no teste comercial. Neste último, foram observados valores elevados de CIM para FCZ, POS e CAS. Em relação à 5FC, os valores de CIM 90% por ambos os testes foram elevados (16mg/L). Diferenças significantes foram observadas entre os valores de CIM obtidas pelos dois métodos, e percentuais relativamente elevados de erros categóricos graves quando o método comercial foi comparado ao de referência. Não houve diferença estatística significante de valores de CIM entre isolados de infecção invasiva e não invasiva, exceto para ITZ e 5FC. Cerca de 30% dos isolados obtidos de casos de infecção invasiva e não invasivos apresentaram resistência cruzada entre os azóis FCZ e VCZ, e uma pequena porcentagem apresentou multirresistência. Para a análise de GXM na parede celular dos 74 isolados do estudo, foi avaliada a intensidade de fluorescência emitida pela citometria de fluxo, não tendo sido observada diferença estatística significante entre isolados invasivos e não invasivos. O estudo permitiu concluir que T. asahii foi a espécie mais isolada das amostras clínicas obtidas de sítios estéreis e não estéreis. A metodologia clássica de identificação fenotípica não foi suficiente para definir as espécies do gênero Trichosporon, e o sistema VITEK 2 apresentou discordância quando comparado à técnica molecular para as espécies não T. asahii. Em relação aos testes de suscetibilidade in vitro, VCZ apresentou-se mais adequado para a inibição das leveduras, enquanto os fármacos AMB, FCZ e POS não foram eficazes para a maior parte dos isolados. As discordâncias encontradas entre o método de referência e o comercial sugerem que, para o segundo, são necessárias mais avaliações para seu emprego em rotina laboratorial para o gênero Trichosporon. A detecção de GXM não resultou em diferenças entre os isolados de ambos os grupos; no entanto, para se determinar o efeito protetor do polissacarídeo contra a ação de macrófagos, ensaios de fagocitose devem ser realizados<br>Invasive Trichosporon spp. infections occur more frequently in neutropenic patients, especially those with hematologic malignancies, and are associated with high mortality rates due to difficulties in identifying the pathogen and treating patients with drugs most currently employed in antifungal therapy. Trichosporon species identification is important for epidemiological studies and to better define eventual species-specific clinical association. Additionally, antifungal susceptibility may vary according to the species. Furthermore, glucuronoxylomannan (GXM) is a cell wall-associated polysaccharide produced by genus Trichosporon, which may be involved in virulence mechanisms of this pathogen. This study aimed (i) to identify Trichosporon species isolated from hospitalized patients by both phenotypic and molecular methods, comparing results; (ii) to verify the distribution of these species in invasive and non-invasive infection episodes; (iii) to determine the in vitro activities of various antifungals agents against the Trichosporon spp. isolates, employing a reference micro-dilution method and a commercial system; (iv) and to analyze the surface expression of GXM. Seventy-four Trichosporon spp. isolates obtained from clinical specimens of patients admitted to the Hospital das Clínicas-FMUSP and to other hospitals in the state of São Paulo, from 2003 to 2011, were included in the study. Nineteen samples were isolated from sterile deep sites (invasive infections) and 55 were isolated from catheter and urine samples (non-invasive isolates). All isolates were submitted to phenotypic analysis, which consisted in morphological features observation, physiological tests and determination of the biochemical profile by VITEK 2 system. Molecular identification was performed by sequencing of IGS1 and D1/D2 regions from the ribosomal DNA. The susceptibility antifungal profiles of the 74 isolates were analyzed by both the EUCAST micro-dilution method (reference) employing fluconazole (FCZ), itraconazole (ITZ), voriconazole (VCZ), ketoconazole (CTZ), amphotericin B (AMB) and 5 - flucytosine (5FC), and the commercial micro-dilution test Sensititre YeastOne, with the same drugs employed in EUCAST plus posaconazole (POS) and caspofungin (CAS). The minimum inhibitory concentration values (MIC), categorical and essential errors as well as other susceptibility parameters were compared between both methods. The cell wall expression of GXM of all isolates was measured by flow cytometry employing an anti-GXM monoclonal antibody. The morphological and physiological features of the Trichosporon spp. isolates were insufficientto define species. The carbohydrate assimilation analysis, performed by VITEK 2 system, has resulted in 71 isolates identified as T. asahii (17 from invasive infections and 54 non-invasive isolates) and one isolate as T. mucoides (invasive). The species identification for the two remaining isolates (one invasive and one non-invasive) was inconclusive. For this reason, a manual auxanogram was performed with these isolates, resulting again in non-conclusive species identification. By the automated sequencing method, 62 of the 74 isolates were identified as T. asahii, showing 82.4% of agreement with the VITEK 2 identification. Eleven isolates were identified by sequencing as T. inkin (8), T. faecale (2) and T. dermatis (1), showing disagreement identification with the VITEK 2 system. Regarding the two isolates with inconclusive results by the carbohydrate assimilation, the molecular technique identified one as T. asahii, whereas for the other isolate the sequencing was also unable to define species. Therefore, among the 74 studied isolates, 62 were identified as T. asahii, eight as T. inkin, two as T. faecale and one as T. dermatis; and two isolates remained with unconclusive identification. Almost all Trichosporon spp. isolates displayed susceptibility to VCZ with both methods. By the EUCAST method, high values of MIC were observed for AMB, while by the commercial test especially the invasive isolates showed susceptibility to this drug. Additionally, the Sensititre kit provided elevated MIC values for FCZ, POS and CAS. In regards to 5FC, the MIC 90% values were consistently high (16 mg/L) in both methodologies. The MIC values obtained by both EUCAST and commercial methods were compared, resulting in significant differences of MIC values for all tested antifungal drugs; major categorical errors occurred at relatively high percentage with the commercial method. No statistically significant differences in MIC values were verified when invasive and non-invasive isolates were compared. Around 30% of both invasive and non-invasive isolates showed cross-resistance to FCZ and VCZ, while a small number of isolates was multiresistant. The GXM analysis by cytometry demonstrated no significant differences between invasive and non- invasive isolates. This study demonstrated that T. asahii was the most frequently isolated species from both deep and non-sterile sites of the patients. The classical phenotypic methodology was not able to define Trichosporon species, and the VITEK 2 system identification showed disagreement with the sequencing technique for the non-T. asahii species. Regarding the in vitro susceptibility tests, VCZ was the most effective drug against the isolates, whereas most of them appear to be less susceptible to AMB, FCZ and POS. The discrepancies in the Trichosporon spp. susceptibility results between the reference and commercial methods suggest that the latter requires further evaluation tests before it can be used in routine laboratory. Although the GXM expression seemed to be equal in both invasive and non-invasive Trichosporon spp. isolates, phagocytic assays should be performed in order to determine the protective effect of the polysaccharide against phagocytosis

International biological sequence databases hold information about protein and DNA molecules. The molecules are represented by sequences of characters. In analysis of this data algorithms for comparing the character sequences play a central role. Comparisons can be made using dynamic programming techniques to determine the score of optimal sequence alignments. Such methods are particularly popular with molecular biologists for they accommodate the kinds of differences which actually occur in the sequences of related molecules. Sequence alignments are normally scored using score tables based on an evolutionary model. The derivation of these score tables is re-examined and a formula giving an analytic counterpart to an empirical method for assessment of a score table's discriminating power is found. Use of the formula to derive alternative protein similarity scoring tables is discussed. A new approach to tackling the heavy computational demands of the dynamic programming algorithm is described: intensive optimisation of a microcomputer implementation. This provides an alternative to implementations which use parallel computers for searching protein databases. This thesis also describes how other implementational problems were tackled in order to make more effective use of the serial comparison software. The new software permitted comparison by optimal alignment of 32,000,000 pairs of sequences from a protein database using widely available and inexpensive hardware. The results from this search were then reorganised to facilitate the findings of previously unseen similarities. Software tools were written to assist with the analysis including software to align sequence families. From the results of this work, nine similarities are presented which do not appear to have been previously noted. The examples illustrate factors that are important in assessing similarities with scores close to the boundaries of significance. The similarities presented are of particular interest because of the biological functions they relate. One software tool developed for the sequence analysis work was a new multiple sequence alignment editor and sequence aligner, 'medal'. Lessons from its use on real sequence data lead to a modification to the original comparison method to accommodate local variations in sequence similarity. Consideration is given to parallelisation of this modification and of the methods used to obtain speed in the serial software. Alternatives are suggested. The suggested parallel method to cope with variations in sequence similarity requires two interdependent sequence comparisons. A serial program using three interdependent comparisons is demonstated and shows the feasibility of multiple interdependent comparisons. Examples show how this new program, 'Fradho', can compare DNA sequences to protein sequences accommodating frameshifts.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Desde a década de 1990, os esforços internacionais para a obtenção de genomas completos levaram à determinação do genoma de inúmeros organismos. Isto, aliado ao grande avanço da computação, tem permitido o uso de abordagens inovadoras no estudo da estrutura, organização e evolução dos genomas e na predição e classificação funcional de genes. Entre os métodos mais comumente empregados nestas análises está a busca por similaridades entre sequências biológicas. Análises comparativas entre genomas completamente sequenciados indicam que cada grupo taxonômico estudado até o momento contém de 10 a 20% de genes sem homólogos reconhecíveis em outras espécies. Acredita-se que estes genes taxonomicamente restritos (TRGs) tenham um papel importante na adaptação a nichos ecológicos particulares, podendo estar envolvidos em importantes processos evolutivos. Entretanto, seu reconhecimento não é simples, sendo necessário distingui-los de ORFs não-funcionais espúrias e/ou artefatos derivados dos processos de anotação gênica. Além disso, genes espécie- ou gêneroespecíficos podem representar uma oportunidade para o desenvolvimento de métodos de identificação e/ou tipagem, tarefa relativamente complicada no caso dos procariotos, onde o método padrão-ouro na atualidade envolve a análise de um grupo de vários genes (MultiLocus Sequence Typing MLST). Neste trabalho utilizamos dados produzidos através de análises comparativas de genomas e de sequências para identificar e caracterizar genes espécie- e gênero-específicos, os quais possam auxiliar no desenvolvimento de novos métodos para identificação e/ou tipagem, além de poderem lançar luz em importantes processos evolutivos (tais como a perda e ou origem de genes em linhagens particulares, bem como a expansão de famílias de genes em linhagens específicas) nos organismos estudados.<br>Since the 1990s, international efforts to obtain complete genomes led to the determination of the genome of many organisms. This, coupled with great advances in computing, has allowed the use of innovative approaches in the study of structure, organization and evolution of genomes and the prediction and functional classification of genes. Among the methods most commonly employed in such analysis is the search for similarities between biological sequences. Comparative analysis of whole genome sequences indicate that each taxonomic group studied so far contain 10 to 20% of genes with no recognizable homologues in other species. It is believed that these taxonomically restricted genes (TRGs) have an important role in adaptation to particular ecological niches and may be involved in important evolutionary processes. However, the recognition of such genes is not simple, being necessary to distinguish them from spurious ORFs nonfunctional and / or artifacts from the processes of gene annotation. Furthermore, species- or genus-specific genes may be an opportunity for the development of methods for identification and / or typing, a relatively complicated task in the case of prokaryotes, where the gold standard at present involves the analysis of a group of several genes (Multilocus Sequence Typing - MLST). This study used data generated through comparative analysis of genome sequences to identify and characterize species- and genusspecific genes, which may help in the development of new methods for identification and / or typing, and can possibly shed light on important evolutionary processes (such as loss and / or origin of genes in particular lineages, as well as expansion of gene families in specific strains) involving the studied organisms.

The studies in this thesis describe the application of genotyping and allele specific expression analysis to genetic studies. The role of the gene NPC1 in Triglyceride metabolism was explored in mouse models and in humans on the population level in study I. NPC1 was found to affect hepatic triglyceride metabolism, and to be relevant for controlling serum triglyceride levels in mice and potentially in humans. In study II the utility of the HapMap CEU samples was investigated for tagSNP selection in six European populations. The HapMap CEU was found to be representative for tagSNP selection in all populations while allele frequencies differed significantly in the sample from Kuusamo, Finland. In study III the power of Allele specific expression as a tool for the mapping of cis-regulatory variation was compared to standard eQTL analysis, ASE was found to be the more powerful type of analysis for a similar sample size. Finally ASE mapping was applied to regions reported to harbour long non-coding RNAs and associated SNPs were compared to published trait-associations. This revealed strong cis-regulatory SNPs of long non-coding RNAs with reported trait or disease associations.

Thesis (Ph.D)--Industrial and Systems Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Lee, Eva K.; Committee Member: Barnes, Earl; Committee Member: Fan, Yuhong; Committee Member: Johnson, Ellis; Committee Member: Yuan, Ming. Part of the SMARTech Electronic Thesis and Dissertation Collection.

Single nucleotide polymorphisms (SNPs) and insertions/deletions (indels) constitute important sources of genetic variation which provide insight into disease aetiology and idiosyncratic differences in drug response. The analysis of such genetic variation relies upon the generation of allele-specific products, typically by enzymatic extension or the hybridization of allele-specific DNA probes. Herein, a distinct enzyme-free, dynamic chemistry-based method of producing allele-specific products for genotyping was developed. The approach was initially demonstrated in model systems using synthetic DNA, which was used as a template in a base-filling reductive amination reaction on a PNA backbone. The templated dynamic reaction between a free secondary amine at a ‘blank’ position on the PNA strand and four aldehyde-modified nucleobases drove selective formation of the ‘correct’ iminium intermediate according to Watson-Crick base-pairing rules. In a blind trial, the method was extended to genotype twelve cystic fibrosis patients for two mutations (one SNP and one indel) linked to this disease. Enzyme-free dynamic chemistry thus permitted successful genotyping in both singleplex and duplex formats, demonstrating the application of dynamic chemistry as a distinct method of allelediscrimination with certain advantages over those reported previously. The application of this method as a tool for the discovery of non-natural nucleobases with improved properties for antisense and genotyping applications was also investigated. Furthermore, progress was made towards the use of dynamic chemistry as a means of full nucleic acid sequence analysis, through the templated sequence-selective extension of PNA probes by reductive amination.

A variação no número de cópias gênicas (CNVs) é a alteração estrutural mais prevalente no genoma humano. Estas alterações estão presentes em alta proporção nos subtelômeros, quando comparados com o resto do genoma. Isso ocorre principalmente porque essas regiões são ricas em genes e porque apresentam sequências repetitivas que as tornam suscetíveis a rearranjos genômicos. Na literatura os rearranjos subteloméricos, como deleções, duplicações e translocações estão associados à etiologia da deficiência intelectual (DI), do atraso no desenvolvimento neuropsicomotor (ADNPM) e das malformações congênitas (MC). Estudos prévios com pacientes com DI revelaram taxas de CNVs patogênicas em regiões subteloméricas variando de 2,4% a 4,8%. Os objetivos desse trabalho foram: investigar a presença das CNVs subteloméricas nos pacientes portadores de malformações congênitas e deficiência intelectual, caracteriza-las quanto a extensão e patogenicidade e sugerir os mecanismos produtores dessas alterações. Foram analisadas 105 amostras de DNA de pacientes com DI/ADNPM associada a MC. Utilizamos a técnica de MLPA (Multiplex Ligation-dependent Probe Amplification) com kits específicos para regiões subteloméricas (P036 e P070). Dentre os pacientes que apresentaram alterações pela técnica de MLPA, 7 pacientes foram submetidos à técnica de array, utilizando as plataformas Agilent SurePrint G3 Genoma Humano microarray 180 K e HumanCytoSNP-12 BeadChip Illumina®. O MLPA permitiu identificar alterações subteloméricas em 14,28% dos casos, sendo 7 pacientes com uma deleção isolada, 7 pacientes apresentaram uma deleção concomitante a uma duplicação e um paciente apresentou duas duplicações. A análise por array confirmou as alterações encontradas por MLPA e permitiu a delimitação acurada dos pontos de quebra genômicos. A análise combinada utilizando bioinformática com diferentes ferramentas: DGV (Database of Genomic Variants), DECIPHER (Database of Chromosomal Imbalance and Phenotype in Humans Using Ensembl Resources), UCSC Genome Bioinformatics e DAVID (Database for Annotation, Visualization and Integrated Discovery), revelou um total de 8 genes sugestivos de serem responsáveis por fenótipos clínicos distintos. Dentre eles, o gene DIAPH1 foi relacionado à microcefalia, o gene CTNND2 à DI e o gene OTOS à surdez. O array revelou elementos repetitivos, sequências teloméricas e/ou STRs nas regiões próximas aos pontos de quebra estudados. Também nos permitiu inferir que os pontos de quebra com deleção simples são sugestivos de NHEJ ou MMEJ e os casos que apresentaram rearranjos complexos: FoSTeS ou MMBIR. A estratégia teve sucesso em identificar CNVs subteloméricas e associá-las ao fenótipo dos pacientes e, adicionalmente, possibilitou a sugestão dos mecanismos que as produziram<br>Copy number variation (CNV) is the most prevalent structural changes in the human genome. These changes are present in a high rate in subtelomere compared with the rest of the genome. This is primarily because these regions are gene rich and because of the presence of repetitive sequences that make them susceptible to genomic rearrangements. Subtelomeric rearrangements, such as deletions, duplications and translocations are associated with the etiology of intellectual disability (ID), the developmental delay (DD) and congenital malformations (CM). Previous studies with patients with ID have revealed rates of pathogenic CNVs in subtelomeric regions ranging from 2.4% to 4.8%. The objectives of this study were to investigate the presence of subtelomeric CNVs in patients with congenital malformations and intellectual disability, characterized them as the extent and pathogenicity and suggest mechanisms of formation. DNA samples from 105 patients with ID/DD associated with CM were analysed. We use the MLPA (Multiplex Ligationdependent Probe Amplification) technique with specific subtelomeric regions (P036 and P070) kits. Among patients with CNVs changes by MLPA, seven were submitted to array technique, using Agilent SurePrint G3 Human Genome microarray HumanCytoSNP or 180 K-12 BeadChip Illumina® platforms. The subtelomeric MLPA analysis identified alterations in 14.28% of cases, 7 patients presented an isolated deletion, 7 patients presented a concomitant deletion and duplication and 1 patient presented two duplications. The array analysis confirmed the alterations found by MLPA and allowed the accurate delineation of the genomic break points. The analysis combined with bioinformatics using different tools: DGV (Database of Genomic Variants), Decipher (Database of Chromosomal Imbalance and Phenotype in Humans Using Ensembl Resources), UCSC Genome Bioinformatics and DAVID (Database for Annotation, Visualization and Integrated Discovery), revealed a total of eight genes that are suggestible responsible for distinct clinical phenotypes. Among them, DIAPH1 gene was related to microcephaly, CTNND2 gene to ID and OTOS gene to deafness. Array revealed repetitive elements, telomeric sequences and / or STR close to breakpoints regions. We propose that the breakpoints with single deletions are suggestive of NHEJ or MMEJ and cases with complex rearrangements: FoSTeS or MMBIR. This strategy could identify subtelomeric CNVs, improve the genotype-phenotype association and also allowed the investigation of mechanisms for formation

Thesis (M.S.)--University of Missouri-Columbia, 2005.<br>"May 2005" The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Includes bibliographical references.

DNA sequence alignments are usually not homogeneous. Mosaic structures may result as a consequence of recombination or rate heterogeneity. Interspecific recombination, in which DNA subsequences are transferred between different (typically viral or bacterial) strains may result in a change of the topology of the underlying phylogenetic tree. Rate heterogeneity corresponds to a change of the nucleotide substitution rate. Various methods for simultaneously detecting recombination and rate heterogeneity in DNA sequence alignments have recently been proposed, based on complex probabilistic models that combine phylogenetic trees with factorial hidden Markov models or multiple changepoint processes. The objective of my thesis is to identify potential shortcomings of these models and explore ways of how to improve them. One shortcoming that I have identified is related to an approximation made in various recently proposed Bayesian models. The Bayesian paradigm requires the solution of an integral over the space of parameters. To render this integration analytically tractable, these models assume that the vectors of branch lengths of the phylogenetic tree are independent among sites. While this approximation reduces the computational complexity considerably, I show that it leads to the systematic prediction of spurious topology changes in the Felsenstein zone, that is, the area in the branch lengths configuration space where maximum parsimony consistently infers the wrong topology due to long-branch attraction. I demonstrate these failures by using two Bayesian hypothesis tests, based on an inter- and an intra-model approach to estimating the marginal likelihood. I then propose a revised model that addresses these shortcomings, and demonstrate its improved performance on a set of synthetic DNA sequence alignments systematically generated around the Felsenstein zone. The core model explored in my thesis is a phylogenetic factorial hidden Markov model (FHMM) for detecting two types of mosaic structures in DNA sequence alignments, related to recombination and rate heterogeneity. The focus of my work is on improving the modelling of the latter aspect. Earlier research efforts by other authors have modelled different degrees of rate heterogeneity with separate hidden states of the FHMM. Their work fails to appreciate the intrinsic difference between two types of rate heterogeneity: long-range regional effects, which are potentially related to differences in the selective pressure, and the short-term periodic patterns within the codons, which merely capture the signature of the genetic code. I have improved these earlier phylogenetic FHMMs in two respects. Firstly, by sampling the rate vector from the posterior distribution with RJMCMC I have made the modelling of regional rate heterogeneity more flexible, and I infer the number of different degrees of divergence directly from the DNA sequence alignment, thereby dispensing with the need to arbitrarily select this quantity in advance. Secondly, I explicitly model within-codon rate heterogeneity via a separate rate modification vector. In this way, the within-codon effect of rate heterogeneity is imposed on the model a priori, which facilitates the learning of the biologically more interesting effect of regional rate heterogeneity a posteriori. I have carried out simulations on synthetic DNA sequence alignments, which have borne out my conjecture. The existing model, which does not explicitly include the within-codon rate variation, has to model both effects with the same modelling mechanism. As expected, it was found to fail to disentangle these two effects. On the contrary, I have found that my new model clearly separates within-codon rate variation from regional rate heterogeneity, resulting in more accurate predictions.

Thesis (M.S.) -- Clemson University, 2008.<br>Title from first page of PDF file. Document formatted into pages; contains ix, 68 p. ; also includes graphics (some col.). Contains additional supplemental files.

polyhomeotic is a gene of the Polycomb-group required for proper segment determination in Drosophila. Genetic and molecular analysis has shown that ph has a repetetive structure. The DNA sequence presented here shows that ph consists of a direct tandem duplication with very high sequence conservation. Analysis of the sequence has revealed several conserved open reading frames and splice junctions, putative transcriptional promoter and terminator sequences, polyadenylation signals and translational start signals. In addition, the DNA sequence shows that ph contains a zinc finger sequence in each repeat. This suggests that ph may encode a DNA-binding protein.<br>Science, Faculty of<br>Zoology, Department of<br>Graduate

With the completion of the human genome sequencing project, attention is currently shifting toward understanding how genetic variation, such as single nucleotide polymorphism (SNP), leads to disease. To identify, understand, and control biological mechanisms of living organisms, the enormous amounts of accumulated sequence information must be coupled to faster, cheaper, and more powerful technologies for DNA, RNA, and protein analysis. One approach is the miniaturization of analytical methods through the application of microfluidics, which involves the manipulation of fluids in micrometer-sized channels. Advances in microfluidic chip technology are expected to play a major role in the development of cost-effective and rapid DNA analysis methods. This thesis presents microfluidic approaches for different DNA genotyping assays. The overall goal is to combine the potential of the microfluidic lab-on-a-chip concept with biochemistry to develop and improve current methods for SNP genotyping. Three genotyping assays using miniaturized microfluidic approaches are addressed. The first two assays are based on primer extension by DNA polymerase. A microfluidic device consisting of a flow-through filter chamber for handling beads with nanoliter liquid volumes was used in these studies. The first assay involved an allelespecific extension strategy. The microfluidic approach took advantage of the different reaction kinetics of matched and mismatched configurations at the 3’-ends of a primer/template complex. The second assay consisted of adapting pyrosequencing technology, a bioluminometric DNA sequencing assay based on sequencing-bysynthesis, to a microfluidic flow-through platform. Base-by-base sequencing was performed in a microfluidic device to obtain accurate SNP scoring data on nanoliter volumes. This thesis also presents the applications of monolayer of beads immobilized by microcontact printing for chip-based DNA analysis. Single-base incorporation could be detected with pyrosequencing chemistry on these monolayers. The third assay developed is based on a hybridization technology termed Dynamic Allele-Specific Hybridization (DASH). In this approach, monolayered beads containing DNA duplexes were randomly immobilized on the surface of a microheater chip. DNA melting-curve analysis was performed by dynamically heating the chip while simultaneously monitoring the DNA denaturation profile to determine the genotype. Multiplexing based on single-bead analysis was achieved at heating rates more than 20 times faster than conventional DASH provides.<br>QC 20101008

The presence of DNA damage in mature sperm may be associated with poor chromatin structure due to abnormal protamination. Interestingly, however, approximately 5-15% of the DNA in the human sperm nucleus remains bound to histones. In this study, oxidative stress was used to induce DNA damage in mature sperm aimed at investigating the integrity of sperm chromatin structure. The extent of the damage was assessed by acridine orange, alkaline comet and halo assay (HalospermTM). Experiments were designed to probe the relationship between sperm DNA fragmentation as revealed by halo dynamics and the DNA sequences that constitute the nuclear halo structure, and so provide a more robust link between the halo assay as a discriminator of high-quality sperm and paternal genes that may be disrupted in damaged sperm. Differential Density Gradient Centrifugation (DDGC) was used to resolve human spermatozoa into 90% percoll solution (high density) and 45% percoll solution (low- density) fractions. DNA damage was induced by exposure to H2O2 at two different concentrations (100 and 300 μM) for fixed times. Acridine orange, alkaline comet and halo assay were used conventionally to measure the extent of DNA fragmentation in peroxide-treated cells. In a variant of the halo assay aimed at investigating the differences between protamine and histone-bound DNA, human sperm nuclei were treated with either low or high ionic strength salt solutions to generate nuclear halos. Halos produced from control (undamaged) sperm by HalospermTM or by salt extraction were treated in suspension with restriction enzymes to release halo-DNA, which was analysed by Next Generation Sequencing (NGS). Results of acridine orange, alkaline comet and halo assay revealed that pellets of DDGC processed sperm were far more resistant to H2O2 treatment compared with interface sperm. The efficacy of halo formation as an indicator of DNA damage was shown by the high percentage of strong halos generated by HalospermTM and salt extraction methods from sperm isolated from the pelleted sperm compared with interface sperm. Analysis of NGS data of halos generated by HalospermTM and by low or high salt extraction of nuclear proteins suggests that approximately 2000 genes, many of developmental significance are significantly ‘over-represented’ in nuclear halos compared with residual (nucleoid) DNA. Moreover, the data suggests that halo-DNA was originally associated with the histone compartment of sperm chromatin. The nuclear halo can indicate the level of DNA fragmentation in sperm, and the sequence composition of halos suggest that such fragmentation could compromise important paternally-derived DNA sequences that the oocyte may be unable to repair.

Three genomic clones encompassing human DNA segments (designated LhX-3, LhX-4, and LhX5) were isolated from an X chromosome-specific library and subjected to analysis by physical mapping and DNA sequencing. It was found that these three clones are very rich in repetitive DNA sequence elements and retropseudogenes.

In questo lavoro abbiamo scelto un approccio basato sulle interdistanze per studiare le proprietà statistiche dei diversi dinucleotidi, in quanto riteniamo che vi sia una relazione tra la posizione che essi occupano nel genoma e la funzione biologica che essi svolgono. Sono stati perciò studiati 18 organismi modello appartenenti a diverse classi e dai risultati è emersa una netta differenza tra le distribuzioni dei CG dei mammiferi rispetto a quelle dei non CG; diversamente, nel caso dei non mammiferi la differenza è risultata essere più lieve e in alcuni casi nulla. In particolare, è emerso che le distribuzioni CG dei mammiferi risultano essere ben descritte da una distribuzione gamma, mentre nel caso dei non mammiferi, questo andamento è stato ritrovato solo in pochi casi. Si è visto inoltre che i CG dei mammiferi risultano essere in numero inferiore rispetto ai non CG, perciò è stato elaborato un modello nullo che provasse a rendere conto di questa discrepanza, imputandone la causa a mutazioni casuali di una singola base azotata. Il modello è stato applicato ai dinucleotidi di Homo sapiens e dai risultati è emerso che solo le distribuzioni AT e TA risultano simili a quella dei CG e che il processo è irreversibile. Infine si è visto che rappresentando il parametro di scala della distribuzione gamma, ricavato dal fit, in funzione del paramtero di forma, è stato possibile distringuere le diverse classi di organismi, sia per i dati di partenza che per un set più ampio; inoltre, i risultati mostrano l'esistenza di una relazione lineare tra il parametro di scala e la percentuale di CG presenti nella sequenza analizzata, se rappresentati in scala doppio logaritmica. Lo studio svolto ha dunque confermato l'esistenza di una relazione tra la posizione occupata dai CG nei genomi e la funzione biologica da essi svolta.

Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2007.<br>Oliver Brand, Committee Member ; James H. McClellan, Committee Member ; Paul Hasler, Committee Chair ; Mark T. Smith, Committee Member ; David Anderson, Committee Member.