Hepatoma-derived growth factor (HDGF) is commonly over-expressed in human cancer cells. It was able to stimulate cell growth. The expression level of HDGF was reported to correlate with poor prognosis of cancer therapy. It was found that HDGF is over-expressed in the fractionated gamma radiation conditioned HepG2 cells, which have higher growth rate, lower radiosensitivity and higher drug sensitivity. The aim of the present study was to investigate the role of HDGF in mediating these changes in human cancer cells and the underlying mechanisms. The results indicate that transfection of HDGF cDNA carrying vector stimulated the growth of cancer cells while knock-down of HDGF by transfection of HDGF antisense oligos not only suppressed the growth but also triggered apoptosis in human cancer cells. It suggests that HDGF stimulates cancer cell growth and acts as a survival factor for human cancer cells. Mechanistic study showed that knock-down of HDGF may trigger apoptosis through the regulation of the apoptotic pathways. The apoptosis induced by HDGF knock-down was mediated by the BAD regulated intrinsic apoptotic pathway and the Fas regulated extrinsic apoptotic pathway. The HDGF knock-down induced apoptosis was also mediated by the changes in the activity of the cell survival pathways, including the Ras/Raf/MEK/ERK, PI3K/Akt, NFkappaB and Jak/STAT pathways. In addition to the growth promoting function, HDGF was found to regulate the radiosensitivity and chemosensitivity of cancer cells. Overexpression of HDGF reduced the radiosensitivity and the level of apoptosis induced by gamma radiation. On the contrast, overexpression of HDGF increased the chemosensitivity and the level of apoptosis induced by anti-cancer drugs, including Taxol, doxorubicin (Dox) and tamoxifen. The results indicated that HDGF may stimulate the growth, reduce the radiation sensitivity and increase the drug sensitivity of cancer cells. HDGF may also be responsible for the changes in cancer cell properties after fractionated gamma radiation treatment. The present findings suggest that HDGF may be a potential target for cancer therapy. / Tsang, Tsun Yee. / Adviser: Tim Tak Kwok. / Source: Dissertation Abstracts International, Volume: 70-06, Section: B, page: 3497. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2008. / Includes bibliographical references. / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts in English and Chinese. / School code: 1307.

STRAP (Stress responsive activator of p300) is a 440 amino acid protein, predicted to have 6 TPR (Tetra-Tri-Co-Peptide Repeats) motifs, known to mediate protein-protein interactions. STRAP has been shown to form a complex with proteins p300 and JMY (Junctional Mediatory Protein), and is implicated in the DNA damage, heat shock response pathway, regulation of the Glucocorticoid receptor and in the function of p53.The aims of this project were to clone, express and purify full length and truncated human STRAP (hSTRAP) variants in high quantities. Full length and shorter hSTRAP fragments, which contain different combinations of the predicted TPR motifs and hence cover different regions, would be then structurally characterised by various structural and biophysical experiments. Another important aim was to identify interacting partners of hSTRAP in breast cancer and to map the position of their interaction sites to different parts of the protein. To this direction GST- and His- tagged full length hSTRAP, as well as His- tagged truncated hSTRAP protein variants have been successfully cloned, expressed and purified. Independent and reproducible biochemical pull-down assays have been carried out in MCF7 breast cancer cells, followed by mass spectrometry-based proteomics analysis which identified 25 hSTRAP-interacting partners from various signaling pathways such as regulation of the actin cytoskeleton and translation. In addition, crystallization trials were carried out using pure His-hSTRAP(1-440) protein, which were unfortunately un-successful. Various hSTRAP protein variants have been characterized by CD, showing that hSTRAP(1-150), His-hSTRAP(1-440), hSTRAP(1-219), hSTRAP(151-284) and hSTRAP(285-440) comprise of alpha and β structures, but the hSTRAP protein variants show no clear cooperative unfolding transitions, suggestive of molten globule states. NMR on hSTRAP(1-219), hSTRAP(1-150) and hSTRAP(151-284) have shown these proteins are not folded at a tertiary structure level. We conclude that a protocol has been established to clone, express and purify various hSTRAP variants and the thermal and secondary structure characteristics of each have been determined, although the 3D structure could not be solved. Pull-down assays followed by proteomic analysis have shown that hSTRAP is implicated in many aspects of cellular regulation.

Ten-Eleven-Translocation (TET) proteins form a family of enzymes responsible for active DNA demethylation by oxidation of 5-methylcytosine. TET proteins play a key role in genomic reprogramming in vitro and in vivo. Although TET proteins are expressed in embryonic stem cells (ESCs), their role in regulating pluripotency remains unclear. In addition, the mechanisms by which TET proteins are recruited to chromatin are largely unknown. To visualise TET protein dynamics during pluripotency and differentiation, the endogenous Tet1/2/3 alleles were fused to epitope tags in ESCs using CRISPR/Cas9. Characterisation of these cell lines showed that TET1 is the highest expressed TET protein in both naïve and primed pluripotent cells. In contrast, TET2 is expressed heterogeneously in ESCs and marks cells with a high self-renewal capacity. To assess the function of Tet genes in pluripotent stem cells, the endogenous Tet1/2/3 ORFs were removed using CRISPR/Cas9. Comparative analysis of single and combined Tet gene knockout ESC lines indicated that Tet1 and Tet2, but not Tet3, play redundant roles to promote loss of pluripotency. Furthermore, Tet-deficient cells retained a naïve morphology in differentiating conditions, suggestive of a LIF-independent self-renewal phenotype. To characterise physiological TET1 protein-protein interactions, TET1 protein partners were identified in ESCs by mass spectrometry and co-immuno-precipitations. This revealed that TET1 interacts with multiple epigenetic and pluripotency-related factors in ESCs. Moreover, detailed characterisation of the interaction between TET1 and NANOG identified three regions of TET1 involved in protein-protein interactions that are conserved in evolution. To investigate TET1 chromatin binding in ESCs, both at the molecular and cellular levels, TET1 was characterised by ChIP-seq analysis and live imaging experiments. Interestingly, TET1 is targeted to chromatin by two different mechanisms, involving distinct protein regions. The interaction with multiple protein partners, including NANOG, might enable TET1 to be targeted to specific chromosomal locations. Additionally, TET1 has the unusual ability to bind mitotic chromatin through its N-terminus, independently of its interaction with NANOG. Together these analyses provide a new understanding of the role of TET proteins in pluripotent cells, as well as a detailed map of TET1 residues involved in protein-protein interactions and mitotic chromatin binding.

3D proteomics combines chemical cross-linking with mass spectrometry to study the structure of protein assemblies and protein-protein interactions both in vitro and in vivo by providing distance constraints that indicate which residues are in close spatial proximity. I addressed the main bottleneck of this technology: the reliable identification of cross-linked peptides. Reporter ion signatures for cross-linked peptides were developed, by fragmenting model compounds containing two lysine residues joined by a cross-linker backbone or a lysine residue modified with a hydrolysed cross-linker. The reporter ion signatures showed 97% specificity at 90% sensitivity and segregated cross-linked from modified and linear peptides. They decreased the false discovery rate of the identification of cross-linked peptides from 5% to 1% in a large dataset. The signatures permit data sorting during and after mass spectrometry acquisition. The advanced 3D proteomics workflow was applied to study the protein-protein interactions in Mycoplasma pneumoniae cells. In lysates of the bacterium we identified 128 protein-protein interactions (of which 24 are novel) and obtained in vivo topological data on 208 proteins, even for cases where high-resolution structures are not yet available. We showed that our data are in excellent agreement with crystal structures of proteins and complexes where available. We defined a network of ribosomal and RNA polymerase proteins that reveals an intricate link between transcription and translation in bacteria. We demonstrated that the method is suitable for identification of homomultimeric protein complexes by exploiting peptide pairs of identical amino acid sequence. The technology has the potential to provide a complete protein interaction network map after the selective enrichment of cross-lined peptides is achieved. The method was next applied to investigate the structure of condensin and cohesin complexes, which play a crucial role in stabilization of chromosome structure during mitosis. The complexes were purified, cross-linked and their linkage map created. The condensin coiled coil cross-linked on the entire length was modeled. The information was used to direct the analysis of in situ cross-linked condensin in intact chromosomes. I found two high confidence linkages between SMC2 and SMC4 coiled coils and identified H2A as a potential condensin receptor on chromosomes.

Le cytosquelette bactérien des homologues d’actine (protéines de la famille MreB) joue un rôle majeur dans la morphogénèse cellulaire. Des homologues de MreB sont retrouvés chez la plupart des espèces bactériennes non sphériques, où ils sont essentiels pour la viabilité cellulaire. Les bactéries à Gram-positif ont généralement plusieurs isoformes. L’organisme modèle Bacillus subtilis en possède trois : MreB, Mbl et MreBH, tous trois impliqués dans la détermination de la forme de la cellule. Le postulat actuel est une organisation, des complexes de synthèse du peptidoglycane, le long des parois latérales par les filaments hélicoïdaux des MreB-like. Cependant, les mécanismes moléculaires et les protéines effectrices impliqués dans cette fonction ne sont pas encore élucidés. Par analogie avec les rôles de l’actine eucaryote, des implications dans d’autres processus cellulaires cruciaux et la présence de partenaires protéiques sont également attendus pour les actines procaryotes. Afin d’explorer les rôles des protéines MreB chez B. subtilis nous avons généré, par des criblages génomiques double hybride chez la levure, un réseau d’interaction protéine-protéine centré sur MreB, Mbl et MreBH. Une vérification systématique et drastique de toutes les interactions obtenues lors des criblages a été réalisée afin d’éliminer les faux positifs. Les interactions identifiées révèlent des liens entre les protéines MreB-like et seize protéines issues de catégories fonctionnelles variées ou de fonction inconnue. Une étude exploratoire a été menée pour huit des protéines partenaires par des approches in silico et in vivo et nous a permis de sélectionner une seule interaction à caractériser plus en détail. Nous nous sommes principalement intéressés à l’interaction physique et directe entre MreB et DapL, une protéine essentielle vraisemblablement impliquée dans la voie de biosynthèse des précurseurs du peptidoglycane, par analogie à DapE d’E. coli. La caractérisation approfondie de DapL a confirmé son essentialité dans la synthèse du peptidoglycane. Bien que l’interaction MreB-DapL ait été confirmée biochimiquement, son rôle biologique exact n’a pas été élucidé. Cependant, nous avons mis en évidence d’autres interactions entre MreB et DapG, LysA et MurE, des enzymes également impliquées dans les étapes précoces de la synthèse du peptidoglycane. L’existence de telles interactions renforce le rôle du cytosquelette MreB de B. subtilis dans l’orchestration des machineries de synthèse de la paroi cellulaire. / Bacterial actin homologues (MreB proteins) play a major role in cell morphogenesis in non-spherical bacteria. The prevailing model postulates that helical, membrane-associated MreB-like filaments organize elongation-specific peptidoglycan-synthesizing complexes along the sidewalls. However, the mechanistic details, as well as the effector proteins of MreBs morphogenetic function, remain to be elucidated. MreB proteins are also involved in DNA segregation, cell polarity, cell motility and, by analogy to eukaryotic actins, possibly in other functions that require the targeting and accurate positioning of proteins and molecular complexes in the cell. Gram-positive bacteria usually have more than one MreB isoform. Our model organism, Bacillus subtilis, has three called MreB, Mbl and MreBH. To explore the roles of the MreB cytoskeleton in B. subtilis, we used genome-wide yeast two-hybrid screens to identify proteins that physically associate with MreB, Mbl and MreBH. Stringent specificity assays were systematically performed to remove false positives and confirm the specificity of all potential interactions identified in the screens. A protein-protein interaction network centered on the three MreBs was generated which includes 16 protein partners. This interaction network provides insights into the links of MreB proteins with proteins belonging to several functional categories as well as proteins of unknown function. An exploratory study was conducted in silico and in vivo for 8 of the partner proteins identified in the network and allowed us to select one interaction for a more in-depth analysis. We next focused in the physical interaction between MreB and DapL, an essential protein presumably involved in the early steps of peptidoglycan biosynthesis. The characterization of DapL confirmed its essential role in cell wall synthesis. The MreB-DapL interaction was confirmed biochemically and we showed that MreB also associates with other proteins involved in the synthesis of the PG precursors (DapG, LysA and MurE). Together, these results suggest that B. subtilis MreB orchestrates the PG biosynthetic cytosolic machineries to achieve and maintain its rod shape.

Virus-like particles (VLPs) are elegant functional architectures formed by the self-assembly of viral structural proteins. VLPs have been developed as vaccines against hepatitis B and cervical cancer, and have recently been shown in animal studies to provide protection against both seasonal and avian influenza following intranasal administration. This new class of vaccines offers unprecedented immunoprotection, inherent safety, and a simple route of administration. To realize the full potential of VLP technology as an efficient and responsive vaccine platform, this project exploits the parallel advancements in recombinant technology, analytical techniques and colloidal science to facilitate the swift and economical delivery of candidate VLP vaccines from laboratory to clinical trials, and ultimately into commercial production. Three areas of VLP production are specifically targeted in this work, i.e., VLP subunit production, particle characterisation and assembly. The major research outcomes in this work are: (i) establishment of a simple and economical VLP subunit production method which eliminates inefficient and complicated purification procedures necessitated by the current in vivo production methods; (ii) development of a high-resolution and high-throughput analytical method for rapid and reliable quality control check of VLP products; and (iii) establishment of the foundation to predict optimal VLP self-assembly conditions through molecular thermodynamics. These research outcomes collectively enhance the quantitative knowledge base in VLP assembly and may ultimately enable the development of a mechanistic and descriptive modelling approach to optimize VLP production. From a fundamental perspective, this work introduces the first experimental technique to measure protein interactions of viral subunits undergoing rapid, irreversible assembly reaction. Such information, when correlated with molecular details and assembly conditions may provide unique insights into the molecular switches responsible for viral assembly, unveiling the fundamental mechanism underpinning viral self-assembly.

<p>Research of protein-protein interactions produce vast quantities of data and there exists a large number of databases with data from this research. Many of these databases offers the data for download on the web in a number of different formats, many of them XML-based.</p><p>With the arrival of these XML-based formats, and especially the standardized formats such as PSI-MI, SBML and BioPAX, there is a need for searching in data represented in XML. We wanted to investigate the capabilities of XML query tools when it comes to searching in this data. Due to the large datasets we concentrated on native XML database systems that in addition to search in XML data also offers storage and indexing specially suited for XML documents.</p><p>A number of queries were tested on data exported from the databases IntAct and Reactome using the XQuery language. There were both simple and advanced queries performed. The simpler queries consisted of queries such as listing information on a specified protein or counting the number of reactions.</p><p>One central issue with protein-protein interactions is to find pathways, i.e. series of interconnected chemical reactions between proteins. This problem involve graph searches and since we suspected that the complex queries it required would be slow we also developed a C++ program using a graph toolkit.</p><p>The simpler queries were performed relatively fast. Pathway searches in the native XML databases took long time even for short searches while the C++ program achieved much faster pathway searches.</p>

Biological interactions occur on multiple length scales, ranging from molecular to population wide interactions. This work describes the study of two specific areas of biological interactions in microbial systems: intracellular protein-protein interactions and cell-to-cell interactions. The implementation of optical and atomic force microscopy and the methodologies developed during this study proved to be invaluable tools for investigating these systems. Identifying and characterizing protein interactions are fundamental steps toward understanding complex cellular networks. We have developed a unique methodology which combines an imaging-based protein interaction assay with a fluorescence recovery after photobleaching technique (FRAP). Protein interactions are readily detected by co-localization of two proteins of interest fused to green fluorescent protein (GFP) and DivIVA, a cell division protein from Bacillus subtilis. We demonstrate that the modified co-localization assay is sensitive enough to detect protein interactions over four orders of magnitude. FRAP data was analyzed using a combination of various image processing techniques and analytical models. This combined approach made it possible to estimate cell morphology parameters such as length, diameter, the effective laser probe volume, as well as to the mobile protein concentration in vivo, the number of bound molecules at the cellular poles, and the biophysical parameter koff. Cells not only utilize molecular interactions in the intracellular environment, but also express proteins, polysaccharides and other complex molecules to mediate interactions with the surrounding extracellular environment. In Azospirillum brasilense, cell surface properties, including exopolysaccharide production, are thought to play a direct role in promoting cell-to-cell interactions. Recently, the Che1 chemotaxis-like pathway from A. brasilense was shown to modulate flocculation, suggesting an associated modulation of cell surface properties. Using atomic force microscopy, distinct changes in the surface morphology of flocculating A. brasilense Che1 mutant strains were detected. Further analyses suggest that the extracellular matrix differs between the cheA1 and the cheY1 deletion mutants, despite similarity in the macroscopic floc structures. Collectively, these data indicate that disruption of the Che1 pathway is correlated with distinctive changes in the extracellular matrix, which likely result from changes in surface polysaccharides structure and/or composition.

Individual proteins, and small collections of proteins, have been extensively studied for at least two hundred years. Today, more than 350 genomes have been completely sequenced and the proteomes of these genomes have been at least partially mapped. The inventory of protein coding genes is the first step toward understanding the cellular machinery. Recent studies have generated a comprehensive data set for the physical interactions between the proteins of Saccharomyces cerevisiae, in addition to some less extensive proteome interaction maps of higher eukaryotes. Hence, it is now becoming feasible to investigate important questions regarding the evolution of protein-protein networks. For instance, what is the evolutionary relationship between proteins that interact, directly or indirectly? Do interacting proteins co-evolve? Are they often derived from each other? In order to perform such proteome-wide investigations, a top-down view is necessary. This is provided by network (or graph) theory. The proteins of the cell may be viewed as a community of individual molecules which together form a society of proteins (nodes), a network, where the proteins have various kinds of relationships (edges) to each other. There are several different types of protein networks, for instance the two networks studied here, namely metabolic networks and protein-protein interaction networks. The metabolic network is a representation of metabolism, which is defined as the sum of the reactions that take place inside the cell. These reactions often occur through the catalytic activity of enzymes, representing the nodes, connected to each other through substrate/product edges. The indirect interactions of metabolic enzymes are clearly different in nature from the direct physical interactions, which are fundamental to most biological processes, which constitute the edges in protein-protein interaction networks. This thesis describes three investigations into the evolution of metabolic and protein-protein interaction networks. We present a comparative study of the importance of retrograde evolution, the scenario that pathways assemble backward compared to the direction of the pathway, and patchwork evolution, where enzymes evolve from a broad to narrow substrate specificity. Shifting focus toward network topology, a suggested mechanism for the evolution of biological networks, preferential attachment, is investigated in the context of metabolism. Early in the investigation of biological networks it seemed clear that the networks often display a particular, 'scale-free', topology. This topology is characterized by many nodes with few interaction partners and a few nodes (hubs) with a large number of interaction partners. While the second paper describes the evidence for preferential attachment in metabolic networks, the final paper describes the characteristics of the hubs in the physical interaction network of S. cerevisiae.

Living cells are controlled by proteins and genes that interact through complex molecular pathways to achieve a specific function. Therefore, determination of protein-protein interaction is fundamental for the understanding of the cell’s lifecycle and functions. The function of a protein is also largely determined by its interactions with other proteins. The amount of protein-protein interaction data available has multiplied by the emergence of large-scale technologies for detecting them, but the drawback of such measures is the relatively high amount of noise present in the data. It is time consuming to experimentally determine protein-protein interactions and therefore the aim of this project is to create a computational method that predicts interactions with high sensitivity and specificity. Semantic similarity measures were applied across the Gene Ontology terms assigned to proteins in S. cerevisiae to predict protein-protein interactions. Three semantic similarity measures were tested to see which one performs best in predicting such interactions. Based on the results, a method that predicts function of proteins in connection with connectivity was devised. The results show that semantic similarity is a useful measure for predicting protein-protein interactions.