O adenocarcinoma pancreático (PDAC) é uma neoplasia de difícil diagnóstico precoce e cujo tratamento não tem apresentado avanços expressivos desde a última década. As tecnologias de sequenciamento de nova geração (next generation sequencing - NGS) podem trazer importantes avanços para a busca de novos marcadores para diagnóstico de PDACs, podendo também contribuir para o desenvolvimento de terapias individualizadas. Bancos de dados são ferramentas poderosas para integração, padronização e armazenamento de grandes volumes de informação. O objetivo do presente estudo foi modelar e implementar um banco de dados relacional (CaRDIGAn - Cancer Relational Database for Integration and Genomic Analysis) que integra dados disponíveis publicamente, provenientes de experimentos de NGS de amostras de diferentes tipos histopatológicos de PDAC, com dados gerados por nosso grupo no IQ-USP, facilitando a comparação entre os mesmos. A funcionalidade do CaRDIGAn foi demonstrada através da recuperação de dados clínicos e dados de expressão gênica de pacientes a partir de listas de genes candidatos, associados com mutação no oncogene KRAS ou diferencialmente expressos em tumores identificados em dados de RNAseq gerados em nosso grupo. Os dados recuperados foram utilizados para a análise de curvas de sobrevida que resultou na identificação de 11 genes com potencial prognóstico no câncer de pâncreas, ilustrando o potencial da ferramenta para facilitar a análise, organização e priorização de novos alvos biomarcadores para o diagnóstico molecular do PDAC. / Pancreatic Ductal Adenocarcinoma (PDAC) is a type of cancer difficult to diagnose early on and treatment has not improved over the last decade. Next Generation Sequencing (NGS) technology may contribute to discover new biomarkers, develop diagnose strategies and personalised therapy applications. Databases are powerfull tools for data integration, normalization and storage of large data volumes. The main objective of this study was the design and implementation of a relational database to integrate publicly available data of NGS experiments of PDAC pacients with data generated in by our group at IQ-USP, alowing comparisson between both data sources. The database was called CaRDIGAn (Cancer Relational Database for Integration and Genomic Analysis) and its funcionalities were tested by retrieving clinical and expression data of public data of genes differencially expressed genes in our samples or genes associated with KRAS mutation. The output of those queries were used to fit survival curves of patients, which led to the identification of 11 genes potencially usefull for PDAC prognosis. Thus, CaRDIGAn is a tool for data storage and analysis, with promissing applications to identification and priorization of new biomarkers for molecular diagnosis in PDAC.

A compensação da dosagem gênica entre fêmeas XX e machos XY em mamíferos é adquirida através de um complexo mecanismo epigenético que resulta na inativação de grande parte de um dos cromossomos X nas células femininas. O processo de inativação do cromossomo X (XCI) se inicia cedo durante a embriogênese, concomitantemente à diferenciação celular, e envolve a aquisição de modificações epigenéticas características do cromossomo X inativo (Xi). Uma estabelecido, o padrão de inativação é estavelmente mantido através de todas as mitoses celulares subsequentes e por toda a vida do organismo (exceto para células germinativas que sofrem reativação do Xi). Os mecanismos envolvidos na iniciação e estabelecimento da XCI foram extensivamente estudados, especialmente em camundongos. Embora algumas características epigenéticas associadas à manutenção da XCI tenham sido descritas, a identidade e modo específico de ação de fatores envolvidos durante essa fase da XCI são aspectos ainda não bem compreendidos. Além disso, o processo de XCI apresenta diferenças importantes entre humanos e camundongos e estudos direcionados para a identificação de novos componentes envolvidos na manutenção da XCI em humanos tornam-se de fundamental importância. Triagens funcionais genômicas por bibliotecas de shRNAs constituem uma ferramenta poderosa para a identificação de genes envolvidos em diferentes mecanismos celulares e vias bioquímicas. Sendo assim, utilizamos essa ferramenta para triar genes envolvidos na manutenção da XCI em humanos. Células somáticas femininas primárias HPRT+/-/HPRT- foram transduzidas com uma biblioteca lentiviral de shRNAs e posteriormente tratadas em meio de cultura contendo a droga HAT para seleção de células HPRT+ nas quais esperava-se que o cromossomo Xi presente tivesse sofrido reativação em decorrência do knockdown de genes envolvidos na manutenção da XCI. Essa estratégia nos permitiu identificar 20 novos genes candidatos a estarem envolvidos na manutenção da XCI. Esses candidatos deverão ser avaliados individualmente para confirmar seu papel no processo de controle epigenético do cromossomo X / Transcriptional dosage compensation between mammalian XX females and XY males is acquired through a complex epigenetic mechanism that leads to the inactivation of most part of one of the X chromosomes in the female cells. The X chromosome inactivation (XCI) process takes place early during embryogenesis and involves the acquisition of epigenetic modifications that are characteristic of the inactive X chromosome (Xi). Once silencing is established, the inactivation pattern is maintained in through all the subsequent mitosis and the same X chromosome remains stably silenced in all the descendant cells and throughout the life of the organism (except for the germ line cells that undergo X chromosome reactivation). The initiation of XCI has been studied extensively, especially in mice. Although some epigenetic features associated with the maintenance of XCI have already been described, the identity and specific mode of action of the factors involved in this phase of XCI are largely unknown. Moreover, the XCI process presents important differences between mice and humans, and studies directed to the identification of new players involved in the maintenance of human XCI are fundamentally important. Functional genome-wide screens using multiplex shRNA libraries are a powerful tool for the identification of genes involved in different cellular mechanisms and biochemical pathways. In order to screen for genes involved in the maintenance of XCI in humans, a population of HPRT+/-/HPRT- primary somatic female cells were transduced with a multiplex lentiviral shRNA library and subsequently treated in HAT medium to select for HPRT+ cells in which we expected that the Xi would undergo reactivation as a result of the knockdown of genes involved in the maintenance of XCI. As a result, we identified 20 new candidate genes that could potentially be involved in the maintenance of XCI. These candidates should be individually evaluated in order to confirm their role in the epigenetic control of the X chromosome

Understanding others is a deeply human urge basic in our existential quest. It requires knowing where someone has come from and where they sit amongst peers. Phylogenetic analysis and genome wide association studies seek to tell us where we’ve come from and where we are relative to one another through evolutionary history and genetic makeup. Current methods do not address the computational complexity caused by new forms of genomic data, namely long-read DNA sequencing and increased abundances of assembled genomes, that are becoming evermore abundant. To address this, we explore specialized data structures for storing and comparing genomic information. This work resulted in the creation of novel data structures for storing multiple genomes that can be used for identifying structural variations and other types of polymorphisms. Using these methods we illuminate the genetic history of organisms in our efforts to understand the world around us.

This thesis presents short DNA alignment tools optimization. These short DNA reads are products of next\nobreakdash-generation sequencing technologies. The results produced by existing align\-ment tools can be influenced by various parameters. For this purpose, an optimization framework to find the optimal values of selected parameters was developed. This framework is based on differencial evolution algorithm and its main goal is to maximize the alignment accuracy. The functionality of the framework was tested on both real and generated data sets of short DNA reads. An accurate alignment is crucial for correct prediction of various genetic characteristics.

European honey bee (Apis mellifera) is major pollinator for agriculture and vital for food production. Large number of viruses infecting A. mellifera have been discovered over the years, but it isn't yet known if they are pathogenic for their host. However, presence of non-viral pathogens like Varroa destructor can greatly increase their virulence and have fatal consequences for the colony. The aim of this study was to test and verify robustness of the method for virome detection on healthy honey bees from the Czech Republic. Last but not least we aimed to detect non-viral parasites and correlate their presence with detected viruses. We have successfully identified large number of viral sequences from different viral families. Viral composition was found to be influenced mainly by colony from where the honey bees were collected. That was mainly given by a large amount of bacteriophages in the samples. However, analysis of individual viruses, known to infect honey bee, indicated that viral prevalence and viral loads of specific viruses is quite different among individual honey bees from the same colony. Interestingly we were able to find highly diverse Lake Sinai viruses. We were able to observe correlations either between individual viruses or viral other non-viral pathogens. Further analysis is...

No description available.

Einzelzellomics bieten unvoreingenommene Einblicke in Transkriptionsprogramme und Genom-Zugänglichkeiten auf zellulärer Ebene, auch wenn der zelluläre Kontext verloren geht. Wir haben einen virtuellen Multi-omic Embryo der Drosophila melanogaster erstellt, basierend auf den Datentypen RNA (Transkriptom) und ATAC (Zugänglichkeit der DNA), welche gleichzeitig auf Einzelzell Ebene erhoben wurden. Mithilfe des Tools novoSpaRc, welches den räumlichen Ursprung der Zellen rekonstruiert, konnte ein regulatorischen Bauplan erstellt werden, der die Genexpression und die Zugänglichkeit von Enhancern widerspiegelt. Diese Ressource hilft beim Verständnis der regulatorischen Dynamik in der Entwicklung. Bei der Untersuchung von ATAC-Peaks konnten wir Überschneidungen zwischen den Mustern der Chromatin Zugänglichkeit und der Aktivität unabhängiger getesteter Enhancer feststellen, was die Bedeutung der Zugänglichkeit unterstreicht. Die nicht-negative Matrixfaktorisierung identifizierte Archetypen der Genexpression und der Chromatin-Zugänglichkeit. Archetypen, die möglicherweise durch Transkriptionsfaktoren (TFs) reguliert werden, wurden einer Motiv-Anreicherungsanalyse für Archetyp-assoziierte CRMs unterzogen. Ein Ansatz zur Vorhersage von Enhancern, ordnete die Enhancer den Genen auf der Grundlage partieller Ähnlichkeit der Muster zu. Zusammenfassend dient unser multimodaler virtueller Embryo als Ressource und präsentiert zum ersten Mal räumliche Chromatin-Zugänglichkeiten für genomische Regionen für einen ganzen Organismus. Die Ergebnisse geben Aufschluss über die Prinzipien der Genregulation und zeigen den regulatorischen Einfluss von Transkriptionsfaktoren auf den Chromatinzustand von Enhancern. / Single-cell-omics techniques provide unbiased insights into transcriptional programs and genomic accessibility patterns at the cellular level despite sacrificing spatial information. We created a multi-omic virtual Drosophila melanogaster stage 6 embryo by simultaneously assessing genome accessibility and transcriptional states in individual cells. Using novoSpaRc, a spatial mapping tool, we accurately reconstructed the spatial origin of cells, yielding a regulatory blueprint reflecting gene expression and enhancer accessibilities. This resource aids in understanding developmental regulatory dynamics. Examining ATAC-peaks, we observed overlapping chromatin accessibility patterns with the activity of independently testes enhancers, emphasizing accessibility's importance. Non-negative matrix factorization identified archetypes in gene expression and chromatin accessibility. Accessibility archetypes, potentially regulated by transcription factors (TFs), were subjected to motif enrichment analysis for archetype-associated CRMs. An enhancer prediction approach, utilizing a generalized linear model, assigned enhancers to genes based on partial pattern similarity. In summary our multi-modal virtual embryo serves as a resource and presents for the first time single-cell chromatin accessibilities for genomic regions reconstructed in space for a whole organism in a single developmental stage. The results shed light on gene regulatory principles, highlighting the regulatory impact of TFs on chromatin states of enhancers.

No description available.

No description available.

<p>  </p> <p>Epstein-Barr virus (EBV) is a complex oncogenic symbiont. The molecular mechanisms governing EBV carcinogenesis remain elusive and the functional interactions between virus and host cells are incompletely defined. Some of the known mechanisms include viral integration into the host genome, expression and mutation(s) of viral genes and the host response to the virus. Despite decades of research there is a lack of effective treatment options for EBV-positive cancer patients underscoring an urgent need to further investigate the mechanisms underlying tumorigenesis as well as explore and develop personalized treatment strategies for patients with EBV-positive cancers. In Chapter 1, I introduce Epstein-Barr Virus (EBV), the two phases of EBV lifecycle and an overview of certain EBV-associated carcinomas. I will also discuss the underlying mechanisms and few current therapeutic strategies against EBV infection. Next, I will discuss some of the preclinical model systems and high-throughput computation techniques that are commonly used by researchers in the field of EBV.  </p> <p>In chapter 2, we have systematically analyzed RNA-sequencing from >1000 patients with 15 different cancer types, comparing virus and host factors of EBV+ to EBV- tissues to reveal novel insights into EBV-positive tumors. First, we observed that EBV preferentially integrates at highly accessible regions of the cancer genome with significant enrichment in super-enhancer architecture. Second, we determined that the expression of twelve EBV transcripts, including LMP1 and LMP2, correlated inversely with EBV reactivation signature. Over-expression of these genes significantly suppressed viral reactivation, consistent with a ‘Virostatic’ function. Third, we identified hundreds of novel frequent missense and nonsense variations in Virostatic genes in cancer samples, and that the variant genes failed to regulate their viral and cellular targets in cancer. Lastly, we were able to dichotomously classify EBV-positive tumors based on patterns of host interferon signature genes and immune checkpoint markers, such as PD-L1 and IDO1. </p> <p>In chapter 3, we probed the lifecycle of EBV on a cell-by-cell basis using single cell RNA sequencing (scRNA-seq) data from six EBV-immortalized lymphoblastoid cell lines (LCL). While the majority of LCLs comprised cells containing EBV in the latent phase of its life cycle, we identified two additional clusters that had distinct expression of both host and viral genes. Both clusters were high expressors of EBV Latent Membrane Protein-1 (LMP1) but differed in their expression of other EBV lytic genes, including glycoprotein gene GP350. We further probed into the transcriptional landscape of these clusters to identify potential regulators which will be discussed in further detail in the chapter. Importantly, I was able to demonstrate enhancing HIF1-a signaling by using Pevonedistat, a compound that stabilized HIF1-a can preferentially induce the transcriptional program specific to one of the three identified clusters. </p> <p>In Chapter 4, I describe some of my recent work. In this project, we have used an intuitive <em>in-silico </em>drug prediction approach to rapidly screen and identify FDA-approved or clinically available compounds that can be repurposed to induce lytic cycle in different EBV+ tumors. Using this strategy, we identified Ciclopirox, an antifungal drug, as a potent inducer of lytic cycle in EBV+ epithelial cancers. We used EBV+ GC cells to determine the effect of Ciclopirox on EBV reactivation as well as identify the underlying mechanisms. In summary, we discovered that reactivation of EBV lytic cycle by Ciclopirox is mediated by multiple pathways, two of the major ones being the HIF1-a and NF-kB pathways. Although, Ciclopirox treatment enhanced the killing effect of antiviral, further investigation is needed to effectively deliver this drug <em>in vivo.</em> Throughout this chapter, I have discussed findings that needs further investigation and proposed necessary experiments. Finally, in Chapter 5 I have summarized my work and described how our work can provide novel insights that can help delineate some of the complexities of host-pathogen interactions in EBV-associated malignancies. </p>