Syftet med uppsatsen är att belysa möjligheter och begränsningar med olika tekniska system för att identifiera kontakter på stridsfältet, främst med avseende på att minska risken för vådabekämpningar. Uppsatsen skall också belysa om införande av tekniska system för identifiering av kontakter är den enskilt bästa metoden för att undvika vådabekämpningar. Syftet är att läsaren skall uppnå en förståelse för vad olika typer av system för identifiering kan bidra med för att minska risken för vådabekämpningar. Utöver detta belyses andra nackdelar och fördelar med de olika tekniska systemen förutom just inom området identifiering. Uppsatsen beskriver olika händelser där vådabekämpningar skett och kopplar dessa mot hur olika tekniska system eventuellt hade kunnat minska risken för att vådabekämpningen skulle ha skett. Uppsatsen beskriver också ett antal olika tekniska system för identifiering av kontakter på stridsfältet. / The purpose of this essay is to shed light on possibilities and limitations regarding different systems for identification of contacts on the battlefield, mainly for the purpose of reducing fratricide. The essay will also shed light on if the introduction of systems for identification on the battlefield is the best one single method that will reduce fratricide. The purpose is that the reader will achieve an understanding of how different systems for target identification will reduce the risk for fratricide. In addition the possibilities and limitations of other systems in the field of combat identification will also be addressed. The essay describes different events where fratricide has occurred and connects these events with the possibilities and limitations of the identification systems described and how these systems could have reduced the risk for fratricide. The essay also describes different systems for target identification and combat identification.

A unique computational approach was undertaken to identify targets of miR-17-3p that impart an oncogenic potential to the cells of the prostate. Utilizing this approach, we identified insulin growth factor receptor 1 (IGF1R) as a potential target of miR-17-3p. IGF1R imparts an oncogenic approach to the cells by helping cells escape apoptosis, become hypertrophic and increase the production of extracellular proteases that allow cells to detach from neighbors. The regulation of insulin growth factor receptor 1 by human microRNA-17-3p was evaluated using a western blot analysis of prostate cancer cell lines. Protein levels were compared in a cell line that expressed a non-targeting control RNA and a cell line that expressed microRNA-17-3p. The cell line that expressed the non-targeting control had significantly higher levels of IGF1R protein than the cell line expressing more of the active microRNA. Based on this experiment, it appears that microRNA-17-3p might regulate the insulin growth factor receptor 1.

Within solid tumours, a microenvironment exists that causes resistance to chemotherapy. New drugs that target cells within this microenvironment are required, the first step in this process being the identification of new targets. The aim of this thesis was to characterise changes in the transcriptome and proteome within specific regions of multicell-tumour spheroids (MCTS), an experimental model that mimics many of the features of the tumour microenvironment. HT29 MCTS were separated by sequential trypsinisation into 3 main regions; the outer surface layer (SL) the peri-necroric region (PN) and the necrotic core (NC). Using an iTRAQ quantitative proteomics approach, the proteome of the different MCTS regions was investigated. A 2 dimensional separation approach using Agilent's OffGel system and RP-nano HPLC was incorporated prior to MS analysis. MS analysis was done using both MALDI-TOF-TOF (Bruker Ultraflex II) and ESI-Q-TOF (Agilent 6530 QTOF LC/MS) instruments. Gene expression profiles of the different MCTS were investigated and compared using Agilent's one-color oligonucleotide based microarrays. Transcriptomic and proteomic analysis identified several key differences in the proteins involved in cell metabolism between the SL and PN/NC regions. Similar metabolic changes were also noted between autophagic and normal monolayer cells. Many highlighted proteins represented established cancer associated proteins. Interestingly, a number of proteins were highlighted which have no previous association with cancer and may upon further validation, provide attractive leads for therapeutic intervention.

Within solid tumours, a microenvironment exists that causes resistance to chemotherapy. New drugs that target cells within this microenvironment are required, the first step in this process being the identification of new targets. The aim of this thesis was to characterise changes in the transcriptome and proteome within specific regions of multicell-tumour spheroids (MCTS), an experimental model that mimics many of the features of the tumour microenvironment. HT29 MCTS were separated by sequential trypsinisation into 3 main regions; the outer surface layer (SL) the peri-necroric region (PN) and the necrotic core (NC). Using an iTRAQ quantitative proteomics approach, the proteome of the different MCTS regions was investigated. A 2 dimensional separation approach using Agilent¿s OffGel system and RP-nano HPLC was incorporated prior to MS analysis. MS analysis was done using both MALDI-TOF-TOF (Bruker Ultraflex II) and ESI-Q-TOF (Agilent 6530 QTOF LC/MS) instruments. Gene expression profiles of the different MCTS were investigated and compared using Agilent¿s one-color oligonucleotide based microarrays. Transcriptomic and proteomic analysis identified several key differences in the proteins involved in cell metabolism between the SL and PN/NC regions. Similar metabolic changes were also noted between autophagic and normal monolayer cells. Many highlighted proteins represented established cancer associated proteins. Interestingly, a number of proteins were highlighted which have no previous association with cancer and may upon further validation, provide attractive leads for therapeutic intervention.

No description available.

Despite remarkable advances in therapeutic interventions, malignant melanoma (MM) remains a life-threating disease. Following high initial response rates to targeted kinase-inhibition metastases quickly acquire resistance and present with enhanced tumor progression and invasion, demanding alternative treatment options. We show 2nd generation hexameric TRAIL-receptor-agonist IZI1551 (IZI) to effectively induce apoptosis in MM cells irrespective of the intrinsic BRAF/NRAS mutation status. Conditioning to the EC50 dose of IZI converted the phenotype of IZI-sensitive parental MM cells into a fast proliferating and invasive, IZI-resistant metastasis. Mechanistically, we identified focal adhesion kinase (FAK) to play a dual role in phenotype-switching. In the cytosol, activated FAK triggers survival pathways in a PI3K- and MAPK-dependent manner. In the nucleus, the FERM domain of FAK prevents activation of wtp53, as being expressed in the majority of MM, and consequently intrinsic apoptosis. Caspase-8-mediated cleavage of FAK as well as FAK knockdown, and pharmacological inhibition, respectively, reverted the metastatic phenotype-switch and restored IZI responsiveness. FAK inhibition also re-sensitized MM cells isolated from patient metastasis that had relapsed from targeted kinase inhibition to cell death, irrespective of the intrinsic BRAF/NRAS mutation status. Hence, FAK-inhibition alone or in combination with 2nd generation TRAIL-receptor agonists may be recommended for treatment of initially resistant and relapsed MM, respectively.

Small molecule screening is commonly used to discover lead compounds for drug development, but it can also be a powerful way to identify chemical probes for studying biological mechanisms. Our lab uses small molecules to study the mechanisms by which the protozoan parasite Toxoplasma gondii infects and replicates within its hosts. In this work, we employed a fluorescence-based assay to screen the Medicines for Malaria Venture (MMV) Open Access Malaria box for compounds that affect T. gondii growth. The box contains 400 previously identified small-molecule inhibitors of the related parasite, Plasmodium falciparum. We identified 79 hits, including a 2,4-diaminoquinazoline (MMV006169; IC50=1.15µM) that strongly inhibits T. gondii intracellular replication and invasion with no evidence of toxicity to mammalian cells. Extensive structure-activity relationship analyses with T. gondii identified a number of analogs with changed potency and altered effects on replication and invasion. These structure-activity analyses provided the information necessary to synthesize a bivalent chemical inducer of dimerization (CID) containing MMV006169 for use in yeast three-hybrid experiments. Yeast growth competition assays showed that this CID is capable of entering the yeast nucleus, as required for yeast three-hybrid screening. Yeast three-hybrid was used in a targeted format to test the hypothesis that MMV006169 works by inhibiting parasite CDC48, an ATPase involved in trafficking and the degradation of misfolded proteins. Large-scale cDNA library screening by yeast three-hybrid suggests that the compound may instead be working through inhibition of a host cell target. This work has provided insight into how MMV006169 affects the parasite's lytic cycle and generated a testable hypothesis for the biologically relevant target of the compound.

The transcriptional repressor Polycomb Repressive Complex 1 (PRC1) is critical for stem cell maintenance and proper differentiation and as such is involved in the development and progression of cancer. Canonical PRC1, composed of PCGF, PHC, RING and CBX, binds histone H3 lysine 27 trimethylation (H3K27me3) allowing for ubiquitination, chromatin compaction and subsequently transcriptional silencing. In mammals, each subunit has multiple paralogs creating functional and compositional diversity. The greatest diversity is contributed by the CBX targeting subunit with five mutually exclusive paralogs (CBX2/4/6/7/8). The CBX paralogs contain an N-terminal chromodomain for methyllysine binding. There has been interest in the CBX paralogs due to their misregulation in various cancers and the “druggability” of the chromodomain histone interaction. However, the unique biochemical and transcriptional functions of the paralogs are unclear. Expression changes during lineage specification and the context-dependent misregulation of CBX paralogs in cancers suggest the paralogs have paralog-specific functions. However, little has been done to define differences in paralog-mediated chromatin binding and regulation. This work utilizes a variety of approaches to tease apart the biological and biochemical functions of the CBX paralogs in chromatin binding and oncogenesis. In this dissertation, we identify a combinatorial therapeutic strategy using a CBX chromodomain inhibitor to enhance chemotherapeutic response. Further, this work demonstrates a role for CBX8 and its chromodomain in glioblastoma oncogenesis suggesting it may serve as a therapeutic target. Finally, we identify a binding mechanism for the CBX8 chromodomain in which DNA and H3K27me3 binding contribute to full chromatin association.

The increasing use of antibiotics has led to a huge problem for society, as some bacteria have developed resistance towards many of the antibiotics currently available. To help find solutions to this problem we studied small molecules that inhibit bacterial virulence, the ability to cause disease. The type III secretion system (T3SS) is a conserved virulence system found in several gram-negative bacteria, including human and plants pathogens, such as Yersinia spp., Pseudomonas aeruginosa, Chlamydia spp., Salmonella spp., Shigella spp, enteropathogenic Escherichia coli (EPEC), enterohemorrhagic Escherichia coli (EHEC), and Erwinia spp. One class of virulence-blocking compounds is the salicylidene acylhydrazides. They were first identified in a screen towards the T3SS in Yersinia pseudotuberculosis and have since been shown to block the T3SS in a panel of gram-negative bacteria such as Chlamydia spp. Salmonella enterica, Shigella flexneri and EPEC. We designed and synthesized a library of 58 salicylidene acylhydrazides and evaluated their activity as virulence-blocking compounds in Y. pseudotuberculosis followed by calculations of quantitative structure activity relationships (QSARs). Four QSAR models were calculated, and when used in consensus they correctly classified between five out of eight compounds for Y. pseudotuberculosis as active or inactive and six out of eight compounds for C. trachomatis. Since the target and mode of action of the salicylidene acylhydrazides were unknown, we used solution and solid phase synthesis to synthesize three different affinity reagents. One of these affinity reagents was used in affinity chromatography experiments, where 19 putative target proteins from an E. coli O157 bacterial lysate were identified. We studied four of the proteins, Tpx, WrbA, FolX, and AdhE, in more detail in Y. pseudotuberculosis and E. coli O157. We believe that the salicylidene acylhydrazides act on multiple targets that together result in down-regulation of T3SS functions. A knockout of AdhE in E. coli O157 showed a similar phenotype as salicylidene acylhydrazide treated E. coli, suggesting that this protein may be particularly interesting as a drug target. Many of the antibiotics used today originate form natural sources. In contrast, most virulence-blocking compounds towards the T3SS are small synthetic organic molecules. Therefore, a prefractionated natural product library with marine and terrestrial biota samples was screened towards the T3SS in Y. pseudotuberculosis. Neohopeaphenol A was identified as a hit and shown to have micromolar activity towards Y. pseudotuberculosis and P. aeruginosa in cell-based infection models. / Det ökande användandet av antibiotika har lett till stora problem för samhället. Många bakterier har utvecklat resistens mot de antibiotika som finns tillgängliga. För att försöka hitta en möjlig lösning på detta problem, arbetar vi med en strategi där vi med hjälp av små organiska molekyler inhiberar bakteriernas virulenssystem, deras förmåga att orsaka sjukdom. Traditionella antibiotika är antingen, bakteriocida, avdödande eller bakteriostatiska, tillväxthämmande. Bakteriernas enda sätt för att överleva antibiotikabehandlingen är att utveckla resistens. Forskarvärlden tror att molekyler som inhiberar bakteriernas virulenssystem, leder till ett minskat tryck att utveckla resistens mot dessa molekyler, eftersom de inte dödar eller hämmar bakterietillväxten, utan bara avväpnar bakterierna. Typ III sekretionssystemet är ett virulenssystem som finns i många gram-negativa bakterier, t.ex., Yersinia spp., Pseudomonas aeruginosa, Chlamydia spp., Salmonella spp., Shigella spp, enteropatogena Escherichia coli (EPEC) och Erwinia spp. Salicylidenacylhydraziderna är en substansklass virulensblockare som inhiberar typ III sekretionssystemet i de ovan nämnda bakterierna. I denna avhandling har vi designat och syntetiserat ett bibliotek med 58 salicylidenacylhydrazider och utvärderat deras biologiska aktivitet som virulensblockare i Y. pseudotuberculosis. Vi relaterade den biologiska aktiviteten till de kemiska egenskaperna hos salicylidenacylhydraziderna i kvantitativa strukturaktivitetssamband. Med hjälp av dessa samband kunde vi prediktera och validera aktiviteten till aktiv eller inaktiv för fem av åtta nya salicylidenacylhydrazider i Y. pseudotuberculosis och sex av åtta i C. trachomatis. Eftersom verkningsmekanismen för salicylidenacylhydraziderna var okänd, så syntetiserade vi tre olika affinitetsmolekyler med kombinerad lösnings- och fastfas-syntes. En av affinitetsmolekylerna användes sedan för att ”fiska ut” och identifiera 19 potentiella målproteiner i ett bakterielysat från E. coli. Fyra av dessa proteiner, TpX, WrbA, FolX och AdhE har vi studerat vidare i Y. pseudotuberculosis och E. coli. Utifrån resultaten tror vi att salicylidenacylhydraziderna interagerar med flera proteiner som tillsammans resulterar i en nedreglering av type III sekretionssystemen. Vår samarbetspartner, Andrew Roe och hans forskargrupp (Universitetet i Glasgow), har studerat AdhE i E. coli.  De har visat att E. coli som saknar genen för proteinet AdhE, har samma fenotyp som E. coli behandlad med salicylidenacylhydraziderna, d.v.s. ett nedreglerat T3SS, vilket gör AdhE till ett speciellt intressant målprotein. I jämförelse med många av våra nuvarande antibiotika som har ett naturligt ursprung så är de flesta studerade virulensblockare små syntetiska organiska molekyler. Därför testades en stor kollektion av naturprodukter från marina och landlevande växter och invertebrater från Sydostasien, för att hitta nya inhibitorer mot typ III sekretionssystemet i Y. pseudotuberculosis. Neohopeaphenol A som kommer från barken på Hopea hainanensis, ett träd som växer i sydostasiens regnskogar, identifierades som en ny virulensblockare. Neohopeaphenol A visade sig vara en potent virulensblockare i in vitro infektionsförsök med Y. psudotuberkulosis eller Pseudomonas aeruginosa. Forskningen i denna avhandling visar att virulensblockare kan hjälpa oss att förstå hur bakterier orsakar sjukdom. Förhoppningsvis kan det i framtiden leda till nya typer av läkemedel mot infektionssjukdomar.

It is becoming increasingly important to understand biological networks in order to understand complex diseases, identify novel, safer protein targets for therapies and design efficient drugs. 'Systems biology' has emerged as a discipline to uncover biological networks through genomic data. Computational methods for identifying these networks become immensely important and have been growing in number in parallel to increasing amount of genomic data under the discipline of 'Systems Biology'. In this thesis we introduced novel computational methods for identifying topological and dynamic properties of biological networks. Biological data is available in various forms. Experimental data on the interactions between biological components provides a connectivity map of the system as a network of interactions and time series or steady state experiments on concentrations or activity levels of biological constituents will give a dynamic picture of the web of these interactions. Biological data is scarce usually relative to the number of components in the networks and subject to high levels of noise. The data is available from various resources however it can have missing information and inconsistencies. Hence it is critical to design intelligent computational methods that can incorporate data from different resources while considering noise component. This thesis is organized as follows; Chapter 1 and 2 will introduce the basic concepts for biological network types. Chapter 2 will give a background on biochemical network identification data types and computational approaches for reverse engineering of these networks. Chapter 3 will introduce our novel constrained total least squares approach for recovering network topology and dynamics through noisy measurements. We proved our method to be superior over existing reverse engineering methods. Chapter 4 is an extension of chapter 3 where a Bayesian parameter estimation algorithm is presented that is capable of incorporating noisy time series and prior information for the connectivity of network. The quality of prior information is critical to be able to infer dynamics of the networks. The major drawback of prior connectivity data is the presence of false negatives, missing links. Hence, powerful link prediction methods are necessary to be able to identify missing links. At this junction a novel link prediction method is introduced in Chapter 5. This method is capable of predicting missing links in a connectivity data. An application of this method on protein-protein association data from a literature mining database will be demonstrated. In chapter 6 a further extension into link prediction applications will be given. An interesting application of these methods is the drug adverse effect prediction. Adverse effects are the major reason for the failure of drugs in pharmaceutical industry, therefore it is very important to identify potential toxicity risks in the early drug development process. Motivated by this chapter 6 introduces our computational framework that integrates drug-target, drug-side effect, pathway-target and mouse phenotype-mouse genes data to predict side effects. Chapter 7 will give the significant findings and overall achievements of the thesis. Subsequent steps will be suggested that can follow the work presented here to improve network prediction methods.