E2F1 and E1A(12S) have a homologous activation domain regulated by RB and CBP.

The E2F1 transcription factor has a well-characterized activation domain at its C terminus and the E1A protein has a recently defined activation domain at its N terminus. Here we show that these activation domains are highly related in sequence. The sequence homology reflects, at least partly, the conservation of common binding sites for the RB and CBP/p300 proteins, which are preserved in the same relative order along E2F1 and E1A. Furthermore, the interaction of RB and CBP with these two activation domains results in the same functional consequences: RB represses both activation domains, whereas CBP stimulates them. We conclude that the activation domains of E1A(12s) and E2F1 belong to a novel functional class, characterized by specific protein binding sites. The implication of this conservation with respect to E1A-induced stimulation of E2F activity is discussed.

Etiolated cells of Chlamydomonas reinhardtii: choice material for characterization of mitochondrial membrane polypeptides.

We have investigated a light-conditional mutant of Chlamydomonas reinhardtii (J12) that is unable to synthesize chlorophyll in the dark with the aim of characterizing the mitochondrial membrane polypeptides of this alga. A crude membrane fraction derived from etiolated cells was analyzed by gel electrophoresis, immunoblot analysis, and pulse-labeling in the presence of specific protein synthesis inhibitors. This fraction contained both mitochondrial and etioplast membranes, and the latter contained appreciable amounts of subunits of the cytochrome b6f complex. The mitochondria-encoded subunit 1 of cytochrome-c oxidase called COX1 was identified, and its synthesis was detected in this membrane fraction. The redox-difference spectra of mitochondrial cytochromes were studied in whole cells and membrane fractions, in both respiratory-competent and -deficient strains. Mitochondrial membranes could be further purified after sucrose gradient centrifugation. The use of etiolated cells and their membrane extracts, in association with appropriate methodologies, opens ways to study the molecular genetics of mitochondria in C. reinhardtii and allows us to address the question of the cooperation established between the three genetic compartments of a plant cell.

DNA loops induced by cooperative binding of transcriptional activator proteins and preinitiation complexes.

DNA conformational changes are essential for the assembly of multiprotein complexes that contact several DNA sequence elements. An approach based on atomic force microscopy was chosen to visualize specific protein-DNA interactions occurring on eukaryotic class II nuclear gene promoters. Here we report that binding of the transcription regulatory protein Jun to linearized plasmid DNA containing the consensus AP-1 binding site upstream of a class II gene promoter leads to bending of the DNA template. This binding of Jun was found to be essential for the formation of preinitiation complexes (PICs). The cooperative binding of Jun and PIC led to looping of DNA at the protein binding sites. These loops were not seen in the absence of either PICs, Jun, or the AP-1 binding site, suggesting a direct interaction between DNA-bound Jun homodimers and proteins bound to the core promoter. This direct visualization of functional transcriptional complexes confirms the theoretical predictions for the mode of gene regulation by trans-activating proteins.

PAK1, a gene that can regulate p53 activity in yeast.

The ability of p53 protein to activate transcription is central to its tumor-suppressor function. We describe a genetic selection in Saccharomyces cerevisiae which was used to isolate a mutant strain defective in p53-mediated transcriptional activation. The defect was partially corrected by overexpression of a yeast gene named PAK1 (p53 activating kinase), which localizes to the left arm of chromosome IX. PAK1 is predicted to encode an 810-aa protein with regions of strong similarity to previously described Ser/Thr-specific protein kinases. PAK1 sequences upstream of the coding region are characteristic of those regulating genes involved in cell cycle control. Expression of PAK1 was associated with an increased specific activity of p53 in DNA-binding assays accompanied by a corresponding increase in transactivation. Thus, PAK1 is the prototype for a class of genes that can regulate the activity of p53 in vivo, and the system described here should be useful in identifying other genes in this class.

(Bio)funcionalização de superfícies nanoestruturadas para eletrocatálise e desenvolvimento de biossensores eletroquímicos e óticos

Tese de doutoramento, Química (Química Física), Universidade de Lisboa, Faculdade de Ciências, 2016

L’importance de la coopération de TRAF1 et LSP1 en aval du récepteur 4-1BB(CD137) pour la survie des lymphocytes

4-1BB (CD137) est un membre de la superfamille TNFR qui est impliqué dans la transmission des signaux de survie aux lymphocytes. TRAF1 est une protéine adaptatrice qui est recrutée par 4-1BB et autres TNFRs et est caractérisée par une expression très restreinte aux lymphocytes, cellules dendritiques et certaines cellules épithéliales. TRAF1 est nécessaire pour l’expansion et la survie des cellules T mémoire en présence d'agonistes anti-4-1BB in vivo. De plus, TRAF1 est requise en aval de 4-1BB pour activer (phosphoryler) la MAP kinase Erk impliquée dans la régulation de la molécule pro-apoptotique Bim. Suite à l’activation du récepteur 4-1BB, TRAF1 et ERK sont impliqués dans la phosphorylation de Bim et la modulation de son expression. L’activation et la régulation de TRAF1 et Bim ont un rôle important dans la survie des cellules T CD8 mémoires. Dans cette étude, nous avons utilisé une approche protéomique afin de pouvoir identifier de nouveaux partenaires de liaison de TRAF1. Utilisant cette stratégie, nous avons identifié que LSP1 (Leukocyte Specific Protein 1) est recruté dans le complexe de signalisation 4-1BB de manière TRAF1 dépendante. Une caractérisation plus poussée de l’interaction entre TRAF1 et LSP1 a montré que LSP1 lie la région unique N-terminal de TRAF1 de façon indépendante de la région conservée C-terminal. À l’instar des cellules T déficientes en TRAF1, les cellules T déficientes en LSP1 ne sont pas capables d’activer ERK en aval de 4-1BB et par conséquent ne peuvent pas réguler Bim. Ainsi, TRAF1 et LSP1 coopèrent en aval de 4-1BB dans le but d’activer ERK et réguler en aval les niveaux de Bim dans les cellules T CD8. Selon la littérature, le récepteur 4-1BB n’est pas exprimé à la surface des cellules B murines, mais le récepteur 4-1BB favorise la prolifération et la survie des cellules B humaines. Cependant, il est important d'étudier l'expression du récepteur 4-1BB dans les cellules B murines afin de disposer d'un modèle murin et de prédire la réponse clinique à la manipulation de 4-1BB. En utilisant différentes stimulations de cellules B murines primaires, nous avons identifié que le récepteur 4-1BB est exprimé à la surface des cellules B de souris suite à une stimulation avec le LPS (Lipopolysaccharides). Une caractérisation plus poussée a montré que le récepteur 4-1BB est induit dans les cellules B murines d'une manière dépendante de TLR4 (Toll Like Receptor 4). Collectivement, notre travail a démontré que la stimulation avec le LPS induit l’expression du récepteur 4-1BB à la surface des cellules B murines, menant ainsi à l'induction de TRAF1. De plus, TRAF1 et LSP1 coopèrent en aval de 4-1BB pour activer la signalisation de la Map kinase ERK dans les cellules B murines de manière similaire aux cellules T. Les cellules B déficientes en TRAF1 et les cellules B déficientes en LSP1 ne sont pas en mesure d'activer la voie ERK en aval de 4-1BB et montrent un niveau d’expression du récepteur significativement diminué comparé aux cellules B d’une souris WT. Ainsi, TRAF1 et LSP1 sont nécessaires pour une expression maximale du récepteur 4-1BB à la surface cellulaire de cellules B murines et coopèrent en aval de 4-1BB afin d'activer la cascade ERK dans les cellules B murines.

Mixed-charge copolymer as environmentally friendly low fouling marine coatings

Thesis (Master's)--University of Washington, 2016-06

GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA

Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA structure and flexibility may also play a role in protein-DNA interactions, the simultaneous exploration of sequence-and structure-based hypotheses about the composition of binding sites and the ordering of features in a regulatory region should be considered as well. The consideration of structural features requires the development of new detection tools that can deal with data types other than primary sequence. Results: GANN ( available at http://bioinformatics.org.au/gann) is a machine learning tool for the detection of conserved features in DNA. The software suite contains programs to extract different regions of genomic DNA from flat files and convert these sequences to indices that reflect sequence and structural composition or the presence of specific protein binding sites. The machine learning component allows the classification of different types of sequences based on subsamples of these indices, and can identify the best combinations of indices and machine learning architecture for sequence discrimination. Another key feature of GANN is the replicated splitting of data into training and test sets, and the implementation of negative controls. In validation experiments, GANN successfully merged important sequence and structural features to yield good predictive models for synthetic and real regulatory regions. Conclusion: GANN is a flexible tool that can search through large sets of sequence and structural feature combinations to identify those that best characterize a set of sequences.

Will diverse Tat interactions lead to novel antiretroviral drug targets?

More than fifteen years following the description of Tat as a critical HIV gene expression regulatory protein, additional roles for Tat in HIV replication have been described, including reverse transcription. Tat achieves function through direct interaction with viral proteins, including reverse transcriptase, and numerous cellular proteins including cyclin T1, RNA polymerase 11, protein kinase R (PKR), p300/CBP, and P/CAF. Despite our advanced knowledge of how Tat operates, this has not yet resulted in the discovery of effective agents capable of targeting various Tat functions. Nevertheless, Tat remains an attractive, virus-specific molecule and detailed understanding of specific protein interaction holds promise for future drug discovery.

Is glutathione an important neuroprotective effector molecule against amyloid beta toxicity?

Cellular thiols are critical moieties in signal transduction, regulation of gene expression, and ultimately are determinants of specific protein activity. Whilst protein bound thiols are the critical effector molecules, low molecular weight thiols, such as glutathione, play a central role in cytoprotection through (1) direct consumption of oxidants, (2) regeneration of protein thiols and (3) export of glutathione containing mixed disulphides. The brain is particularly vulnerable to oxidative stress, as it consumes 20% of oxygen load, contains high concentrations of polyunsaturated fatty acids and iron in certain regions, and expresses low concentrations of enzymic antioxidants. There is substantial evidence for a role for oxidative stress in neurodegenerative disease, where excitotoxic, redox cycling and mitochondrial dysfunction have been postulated to contribute to the enhanced oxidative load. Others have suggested that loss of important trophic factors may underlie neurodegeneration. However, the two are not mutually exclusive; using cell based model systems, low molecular weight antioxidants have been shown to play an important neuroprotective role in vitro, where neurotrophic factors have been suggested to modulate glutathione levels. Glutathione levels are regulated by substrate availability, synthetic enzyme and metabolic enzyme activity, and by the presence of other antioxidants, which according to the redox potential, consume or regenerate GSH from its oxidised partner. Therefore we have investigated the hypothesis that amyloid beta neurotoxicity is mediated by reactive oxygen species, where trophic factor cytoprotection against oxidative stress is achieved through regulation of glutathione levels. Using PC12 cells as a model system, amyloid beta 25-35 caused a shift in DCF fluorescence after four hours in culture. This fluorescence shift was attenuated by both desferioxamine and NGF. After four hours, cellular glutathione levels were depleted by as much as 75%, however, 24 hours following oxidant exposure, glutathione concentration was restored to twice the concentration seen in controls. NGF prevented both the loss of viability seen after 24 hours amyloid beta treatment and also protected glutathione levels. NGF decreased the total cellular glutathione concentration but did not affect expression of GCS. In conclusion, loss of glutathione precedes cell death in PC12 cells. However, at sublethal doses the surviving fraction respond to oxidative stress by increasing glutathione levels, where this is achieved, at least in part, at the gene level through upregulation of GCS. Whilst NGF does protect against oxidative toxicity, this is not achieved through upregulation of GCS or glutathione.

Novel cationic polymers for use at biological interfaces

One of the main problems with the use of synthetic polymers as biomaterials is the invasion of micro-organisms causing infection. A study of the properties of polymeric antibacterial agents, in particular polyhexamethylene biguanide, has revealed that the essential components for the design of a novel polymeric antibacterial are a balance between hydrophilicity and hydrophobicity coupled with sites of cationicity. The effect of cation incorporation on the physical properties of hydrogels has been investigated. Hydrogel systems copolymerised with either N-vinyl imidazole or dimethylaminoethyl methacrylate have been characterised in terms of their water binding, mechanical and surface properties. It has been concluded that the incorporation of these monomers does not adversely affect the properties of such hydrogels and that these materials are potential candidates for further development for use in biomedical applications. It has been reported that hydro gels with ionic character may increase the deposition of biological material onto the hydrogel surface when it is in contact with body fluids. An investigation into the deposition characteristics of hydrogels containing the potentially cationic monomers has been carried out, using specific protein adsorption and in vitro spoilation techniques. The results suggest that at low levels of cationicity, the deposition of positively charged proteins is reduced without adversely affecting the uptake of the other proteins. The gross deposition characteristics were found to be comparable to some commercially available contact lens materials. A preliminary investigation into the development of novel antibacterial polymers has been completed and some novel methods of bacterial inhibition discussed. These methods include development of an hydrogel whose potential application is as a catheter coating.

Discovering properties of new DNA-binding activity of proteins

Protein-DNA interactions are an essential feature in the genetic activities of life, and the ability to predict and manipulate such interactions has applications in a wide range of fields. This Thesis presents the methods of modelling the properties of protein-DNA interactions. In particular, it investigates the methods of visualising and predicting the specificity of DNA-binding Cys2His2 zinc finger interaction. The Cys2His2 zinc finger proteins interact via their individual fingers to base pair subsites on the target DNA. Four key residue positions on the a- helix of the zinc fingers make non-covalent interactions with the DNA with sequence specificity. Mutating these key residues generates combinatorial possibilities that could potentially bind to any DNA segment of interest. Many attempts have been made to predict the binding interaction using structural and chemical information, but with only limited success. The most important contribution of the thesis is that the developed model allows for the binding properties of a given protein-DNA binding to be visualised in relation to other protein-DNA combinations without having to explicitly physically model the specific protein molecule and specific DNA sequence. To prove this, various databases were generated, including a synthetic database which includes all possible combinations of the DNA-binding Cys2His2 zinc finger interactions. NeuroScale, a topographic visualisation technique, is exploited to represent the geometric structures of the protein-DNA interactions by measuring dissimilarity between the data points. In order to verify the effect of visualisation on understanding the binding properties of the DNA-binding Cys2His2 zinc finger interaction, various prediction models are constructed by using both the high dimensional original data and the represented data in low dimensional feature space. Finally, novel data sets are studied through the selected visualisation models based on the experimental DNA-zinc finger protein database. The result of the NeuroScale projection shows that different dissimilarity representations give distinctive structural groupings, but clustering in biologically-interesting ways. This method can be used to forecast the physiochemical properties of the novel proteins which may be beneficial for therapeutic purposes involving genome targeting in general.

Antibacterial proteins and peptides in nurse shark ( Ginglymostoma cirratum) peripheral blood leukocytes

In many vertebrate and invertebrate species mediators of innate immunity include antimicrobial peptides (AMPs) such as peptide fragments of histones and other proteins with previously ascribed different functions. Shark AMPs have not been described and this research examines the antibacterial activity of nurse shark (Ginglymostoma cirratum) peripheral blood leukocyte lysates. Screening of lysates prepared by homogenizing unstimulated peripheral blood leukocytes identified muramidase (lysozyme-like) and non-muramidase antibacterial activity. Lysates were tested for lysozyme using the lysoplate assays, and antibacterial (AB) activity was assayed for by a microdilution growth assay that was developed using Planococcus citreus as the target bacterium. Fractionation of crude lysates by ion exchange and affinity chromatography was followed by a combination of SDS-PAGE with LC/MS-MS and/or N-terminal sequence analysis of low molecular weight protein bands (<20 kDa). This yielded several peptides with amino acid sequence similarity to lysozyme, ubiquitin, hemoglobin, human histones H2A, H2B and H4 and to antibacterial histone fragments of the catfish and the Asian toad. Not all peptide sequences corresponded to peptides potentially antibacterial. The correlation of a specific protein band in active lysate fractions was accomplished by employing the acid-urea gel overlay assays in which AB activity was seen as zones of growth inhibition on a lawn of P. citreus at a position corresponding to that of the putative AB protein band. This study is the first to describe putative AMPs in the shark and their potential role in innate immunity.^

Fundamental studies of the application of wheat for malting and brewing

Wheat (Triticum aestivum L.) has a long tradition as a raw material for the production of malt and beer. While breeding and cultivation efforts for barley have been highly successful in creating agronomically and brew- technical optimal specialty cultivars that have become well established as brewing barley varieties, the picture is completely different for brewing wheat. An increasing wheat beer demand results in a rising amount of raw material. Wheat has been - and still is – grown almost exclusively for the baking industry. It is this high demand that defines most of the wheat breeding objectives; and these objectives are generally not favourable in brewing industry. It is of major interest to screen wheat varieties for brewing processability and to give more focus to wheat as a brewing cereal. To obtain fast and reliable predications about the suitability of wheat cultivars a new mathematical method was developed in this work. The method allows a selection based on generally accepted quality characteristics. As selection criteria the parameters raw protein, soluble nitrogen, Kolbach index, extract and viscosity were chosen. During a triannual cultivation series, wheat varieties were evaluated on their suitability for brewing as well as stability to environmental conditions. To gain a fundamental understanding of the complex malting process, microstructural changes were evaluated and visualized by confocal laser scanning and scanning electron microscopy. Furthermore, changes observed in the micrographs were verified and endorsed by metabolic changes using established malt attributes. The degradation and formation of proteins during malting is essential for the final beer quality. To visualise fundamental protein changes taking place during malting, samples of each single process step were analysed and fractioned according their solubility. Protein fractions were analysed using a Lab-on-a-chip technique as well as OFFgel analysis. In general, a different protein distribution of wheat compared to barley or oat could be confirmed. During the malting process a degradation of proteins to small peptides and amino acids could be observed in all four Osborn fractions. Furthermore, in this study a protein profiling was performed to evaluate changes during the mashing process as well as the influence of grist composition. Differences in specific protein peaks and profile were detected for all samples during mashing. This study investigated the suitability of wheat for malting and brewing industry and closed the scientifical gap of amylolytic, cytolytic and proteolytic changes during malting and mashing.

DATA DRIVEN APPROACHES TO IDENTIFY DETERMINANTS OF HEART DISEASES AND CANCER RESISTANCE

Cancer and cardio-vascular diseases are the leading causes of death world-wide. Caused by systemic genetic and molecular disruptions in cells, these disorders are the manifestation of profound disturbance of normal cellular homeostasis. People suffering or at high risk for these disorders need early diagnosis and personalized therapeutic intervention. Successful implementation of such clinical measures can significantly improve global health. However, development of effective therapies is hindered by the challenges in identifying genetic and molecular determinants of the onset of diseases; and in cases where therapies already exist, the main challenge is to identify molecular determinants that drive resistance to the therapies. Due to the progress in sequencing technologies, the access to a large genome-wide biological data is now extended far beyond few experimental labs to the global research community. The unprecedented availability of the data has revolutionized the capabilities of computational researchers, enabling them to collaboratively address the long standing problems from many different perspectives. Likewise, this thesis tackles the two main public health related challenges using data driven approaches. Numerous association studies have been proposed to identify genomic variants that determine disease. However, their clinical utility remains limited due to their inability to distinguish causal variants from associated variants. In the presented thesis, we first propose a simple scheme that improves association studies in supervised fashion and has shown its applicability in identifying genomic regulatory variants associated with hypertension. Next, we propose a coupled Bayesian regression approach -- eQTeL, which leverages epigenetic data to estimate regulatory and gene interaction potential, and identifies combinations of regulatory genomic variants that explain the gene expression variance. On human heart data, eQTeL not only explains a significantly greater proportion of expression variance in samples, but also predicts gene expression more accurately than other methods. We demonstrate that eQTeL accurately detects causal regulatory SNPs by simulation, particularly those with small effect sizes. Using various functional data, we show that SNPs detected by eQTeL are enriched for allele-specific protein binding and histone modifications, which potentially disrupt binding of core cardiac transcription factors and are spatially proximal to their target. eQTeL SNPs capture a substantial proportion of genetic determinants of expression variance and we estimate that 58% of these SNPs are putatively causal. The challenge of identifying molecular determinants of cancer resistance so far could only be dealt with labor intensive and costly experimental studies, and in case of experimental drugs such studies are infeasible. Here we take a fundamentally different data driven approach to understand the evolving landscape of emerging resistance. We introduce a novel class of genetic interactions termed synthetic rescues (SR) in cancer, which denotes a functional interaction between two genes where a change in the activity of one vulnerable gene (which may be a target of a cancer drug) is lethal, but subsequently altered activity of its partner rescuer gene restores cell viability. Next we describe a comprehensive computational framework --termed INCISOR-- for identifying SR underlying cancer resistance. Applying INCISOR to mine The Cancer Genome Atlas (TCGA), a large collection of cancer patient data, we identified the first pan-cancer SR networks, composed of interactions common to many cancer types. We experimentally test and validate a subset of these interactions involving the master regulator gene mTOR. We find that rescuer genes become increasingly activated as breast cancer progresses, testifying to pervasive ongoing rescue processes. We show that SRs can be utilized to successfully predict patients' survival and response to the majority of current cancer drugs, and importantly, for predicting the emergence of drug resistance from the initial tumor biopsy. Our analysis suggests a potential new strategy for enhancing the effectiveness of existing cancer therapies by targeting their rescuer genes to counteract resistance. The thesis provides statistical frameworks that can harness ever increasing high throughput genomic data to address challenges in determining the molecular underpinnings of hypertension, cardiovascular disease and cancer resistance. We discover novel molecular mechanistic insights that will advance the progress in early disease prevention and personalized therapeutics. Our analyses sheds light on the fundamental biological understanding of gene regulation and interaction, and opens up exciting avenues of translational applications in risk prediction and therapeutics.