Some aspects of the microbiological properties of polymers and composite materials

The interaction of microorganisms with glass-reinforced polyester resins(GRP), both under laboratory and simulated operating conditions, has been examined following reports of severl! fungal biodeterioration. Although GRP was not previously associated with substantial microbial growth, small amounts of microbial activity would pose problems for products associated with comestible materials. The microbiology of the raw materials was investigated, two ingredients were supportive to microbial populations whilst five materials were biostatic or inhibitory in their action. Production laminate was not susceptible to microbial deterioration or inhibitory to microbes. Incorporation of zinc stearate, one of the supportive ingredients, at 300% manufacturing level or drastic undercuring produced laminate capable of supporting microbial growth but only after a non-biotic stage of degradation. Study of the long-term population dynamics of cisterns of GRP and competitive materials under conditions simulating in-service conditions, monitoring microbial numbers within the experimental vessels and comparing with the populations of the supply water, suggests that the performance of GRP cisterns is slightly superior to conventional competitive materials. An investigation of the biological performance of GRP cisterns in an isolated area of known microbiological hazard was conducted. Severe biodeterioration had been experienced with Preform GRP articles moulded using different production techniques, but substitution of current GRP articles resulted in no recurrence of the problem. All attempts to establish the fungal isolate responsible for the phenomena in cisterns under controlled conditions failed. Scanning Electron Microscopy of GRP surfaces showed that although differences exist between current and Preform laminates, these could not satisfactorily explain the differences in service behaviour. These results and the results of the British Plastics Federation Expert Working Group interlaboratory study are discussed in relation to the original report of gross fungal biodeterioration and, to the design of future testing programmes for the products of industrial concerns.

Cellular uptake and biological activity of synthetic hammerhead ribozymes

Glioblastoma Multiforme (GBM) is a highly malignant form of brain cancer for which there is no effective cure. The over-expression of a number of genes, including the epidermal growth factor receptor (EGFr), has been implicated as a causative factor of tumourigenesis. Ribozymes are a class of ribonucleic acid that possess enzymatic properties. They can inhibit gene-expression in a highly sequence specific manner by catalysing the trans-cleavage of target RNA. The potential use of synthetic hammerhead ribozymes as novel anti-brain tumour agents was investigated in this study. The successful use of synthetic, exogenously administered ribozymes for such applications will require chemical modifications that improve biological stability and a fundamental understanding of cellular uptake mechanisms. Chimeric 2'-O-methylated hammerhead ribozymes proved to be significantly more stable (>4000-fold) in serum than unmodified RNA ribozymes and exhibited high in vitro catalytic activity. The cellular association of an internally [32P]-labelled 2'-O-methylated chimeric ribozyme in U87-MG human glioma cells was temperature-, energy- and pH-dependent and involved an active process that could be competed with a variety of polyanions. Indications are that the predominant mechanism of uptake is by adsorptive and / or receptor mediated endocytosis. Twenty 2'-O-methylated chimeric ribozymes were designed to cleave various sites along the EGFr mRNA. In vitro, 18 ribozymes exhibited high activity in cleaving a complementary short substrate. Using LipofectAMINETM as a delivery agent, the efficacy of these ribozymes was evaluated in the A431 cell line, which expresses amplified levels of EGFr. Studies revealed that although the ribozymes were taken up by the cells and remained stable over a period of 4 days, no significant reduction in either EGFr expression or cell proliferation was evident. The presence of telomerase, a ribonucleoprotein responsible for telomere elongation, has been strongly associated with tumour progression. The biological activity of a 2'-O-methylated ribozyme targeted against the RNA component of telomerase was determined. The ribozyme exhibited specific dose-dependent inhibition of telomerase activity in U87-MG cell lysates with an IC50 of –4μM. When 4μM ribozyme was delivered to intact U87-MG cells, complexed to LipofectAMINETM, telomerase activity was significantly reduced to 74.5±4.17% of the untreated control. Free ribozyme showed no significant inhibitory effect demonstrating the importance of an appropriate delivery system for optimum delivery of exogenously administered ribozymes.

Synthesis and biological evaluation of potential anti-cancer agents

The new technology of combinational chemistry has been introduced to pharmaceutical companies, improving and making more efficient the process of drug discovery. Automated combinatorial chemistry in the solution-phase has been used to prepare a large number of compounds of anti-cancer screening. A library of caffeic acid derivatives has been prepared by the Knoevenagel condensation of aldehyde and active methylene reagents. These products have been screened against two murine adenocarcinoma cell lines (MAC) which are generally refractive to standard cytotoxic agents. The target of anti-proliferative action was the 12- and 15-lipoxygenase enzymes upon which these tumour cell lines have been shown to be dependent for proliferation and metastasis. Compounds were compared to a standard lipoxygenase inhibitor and if found to be active anti-proliferative agents were tested for their general cytotoxicity and lipoxygenase inhibition. A solid-phase bound catalyst, piperazinomethyl polystyrene, was devised and prepared for the improved generation of Knoevenagel condensation products. This piperazinomethyl polystyrene was compared to the traditional liquid catalyst, piperidine, and was found to reduce the amount of by-products formed during reaction and had the advantage of easy removal from the reaction. 13C NMR has been used to determine the E/Z stereochemistry of Knoevenagel condensation products. Soluble polymers have been prepared containing different building blocks pendant to the polymer backbone. Aldehyde building blocks incorporated into the polymer structure have been subjected to the Knoevenagel condensation. Cleavage of the resultant pendant molecules has proved that soluble linear polymers have the potential to generate combinatorial mixtures of known composition for biological testing. Novel catechol derivatives have been prepared by traditional solution-phase chemistry with the intention of transferring their synthesis to a solid-phase support. Catechol derivatives prepared were found to be active inhibitors of lipoxygenase. Soluble linear supports for the preparation of these active compounds were designed and tested. The aim was to develop a support suitable for the automated synthesis of libraries of catechol derivatives for biological screening.

Applications of XPS to the study of inorganic compounds

The surface behaviour of materials is crucial to our everyday lives. Studies of the corrosive, reactive, optical and electronic properties of surfaces are thus of great importance to a wide range of industries including the chemical and electronics sectors. The surface properties of polymers can also be tuned for use in packaging, non stick coatings or for use in medical applications. Methods to characterise surface composition and reactivity are thus critical to the development of next generation materials. This report will outline the basic principles of X-ray photoelectron spectroscopy and how it can be applied to analyse the surfaces of inorganic materials. The role of XPS in understanding the nature of the active site in heterogeneous catalysts will also be discussed.

Low-Power Tracking Image Sensor Based on Biological Models of Attention

This paper presents implementation of a low-power tracking CMOS image sensor based on biological models of attention. The presented imager allows tracking of up to N salient targets in the field of view. Employing "smart" image sensor architecture, where all image processing is implemented on the sensor focal plane, the proposed imager allows reduction of the amount of data transmitted from the sensor array to external processing units and thus provides real time operation. The imager operation and architecture are based on the models taken from biological systems, where data sensed by many millions of receptors should be transmitted and processed in real time. The imager architecture is optimized to achieve low-power dissipation both in acquisition and tracking modes of operation. The tracking concept is presented, the system architecture is shown and the circuits description is discussed.

Bottleneck Problem Solution using Biological Models of Attention in High Resolution Tracking Sensors

Every high resolution imaging system suffers from the bottleneck problem. This problem relates to the huge amount of data transmission from the sensor array to a digital signal processing (DSP) and to bottleneck in performance, caused by the requirement to process a large amount of information in parallel. The same problem exists in biological vision systems, where the information, sensed by many millions of receptors should be transmitted and processed in real time. Models, describing the bottleneck problem solutions in biological systems fall in the field of visual attention. This paper presents the bottleneck problem existing in imagers used for real time salient target tracking and proposes a simple solution by employing models of attention, found in biological systems. The bottleneck problem in imaging systems is presented, the existing models of visual attention are discussed and the architecture of the proposed imager is shown.

Optimization and Applications of Large-Scale Biomedical Event Networks

The overwhelming amount and unprecedented speed of publication in the biomedical domain make it difficult for life science researchers to acquire and maintain a broad view of the field and gather all information that would be relevant for their research. As a response to this problem, the BioNLP (Biomedical Natural Language Processing) community of researches has emerged and strives to assist life science researchers by developing modern natural language processing (NLP), information extraction (IE) and information retrieval (IR) methods that can be applied at large-scale, to scan the whole publicly available biomedical literature and extract and aggregate the information found within, while automatically normalizing the variability of natural language statements. Among different tasks, biomedical event extraction has received much attention within BioNLP community recently. Biomedical event extraction constitutes the identification of biological processes and interactions described in biomedical literature, and their representation as a set of recursive event structures. The 2009–2013 series of BioNLP Shared Tasks on Event Extraction have given raise to a number of event extraction systems, several of which have been applied at a large scale (the full set of PubMed abstracts and PubMed Central Open Access full text articles), leading to creation of massive biomedical event databases, each of which containing millions of events. Sinece top-ranking event extraction systems are based on machine-learning approach and are trained on the narrow-domain, carefully selected Shared Task training data, their performance drops when being faced with the topically highly varied PubMed and PubMed Central documents. Specifically, false-positive predictions by these systems lead to generation of incorrect biomolecular events which are spotted by the end-users. This thesis proposes a novel post-processing approach, utilizing a combination of supervised and unsupervised learning techniques, that can automatically identify and filter out a considerable proportion of incorrect events from large-scale event databases, thus increasing the general credibility of those databases. The second part of this thesis is dedicated to a system we developed for hypothesis generation from large-scale event databases, which is able to discover novel biomolecular interactions among genes/gene-products. We cast the hypothesis generation problem as a supervised network topology prediction, i.e predicting new edges in the network, as well as types and directions for these edges, utilizing a set of features that can be extracted from large biomedical event networks. Routine machine learning evaluation results, as well as manual evaluation results suggest that the problem is indeed learnable. This work won the Best Paper Award in The 5th International Symposium on Languages in Biology and Medicine (LBM 2013).

Technical Report on the reduced graphene oxide biosynthesis protocol for biological applications

The interest of scientific community on carbon-based smart materials is growing and, especially focus on graphene oxide (GO) and reduced graphene oxide (rGO). An increasing number of bio-applications such as biological applications as bacterial inhibition, drug delivery and photothermal therapy aims the use of GO and rGO. For this reason, the methods used for the synthesis of graphene materials are more important because same of those procedures imply chemical reactions that involve hazardous and toxic reagents. In fact, the biocompatibility and toxicological activity of graphene-related materials is related to the methodologies employed for the synthesis that determine the carbon/oxygen (C/O) ratio of graphene oxide species. In this technical report, we focused on the synthesis of GO by means of that lead to a biocompatible GO form with a lower oxygen content. Thus, the synthesis of rAsGFP-rGO with the green fluorescent protein allowed us to obtain a biocompatible materials, without using hazardous and toxic reagents. This biocompatibility is the most important prerogative for the use of GO in biological activity assays as reported in several publications.

Biological response of myoblasts to three-dimensional electrically conductive fibrous scaffolds

 Inter-bonded three-dimensional fibrous scaffolds were fabricated using a template-aided melt bonding method. A high-throughput bioreactor was developed for dynamic cell culture of Myoblasts. The scaffolds after surface modification with a conducting polymer, polypyrrole, showed greatly enhanced cell viability, proliferation and differentiation especially under an electrical stimulation.

DESIGN, SYNTHESIS AND APPLICATIONS OF FLUORESCENT AND ELECTROCHEMICAL PROBES

“Seeing is believing” the proverb well suits for fluorescent imaging probes. Since we can selectively and sensitively visualize small biomolecules, organelles such as lysosomes, neutral molecules, metal ions, anions through cellular imaging, fluorescent probes can help shed light on the physiological and pathophysiological path ways. Since these biomolecules are produced in low concentrations in the biochemical pathways, general analytical techniques either fail to detect or are not sensitive enough to differentiate the relative concentrations. During my Ph.D. study, I exploited synthetic organic techniques to design and synthesize fluorescent probes with desirable properties such as high water solubility, high sensitivity and with varying fluorescent quantum yields. I synthesized a highly water soluble BOIDPY-based turn-on fluorescent probe for endogenous nitric oxide. I also synthesized a series of cell membrane permeable near infrared (NIR) pH activatable fluorescent probes for lysosomal pH sensing. Fluorescent dyes are molecular tools for designing fluorescent bio imaging probes. This prompted me to design and synthesize a hybrid fluorescent dye with a functionalizable chlorine atom and tested the chlorine re-activity for fluorescent probe design. Carbohydrate and protein interactions are key for many biological processes, such as viral and bacterial infections, cell recognition and adhesion, and immune response. Among several analytical techniques aimed to study these interactions, electrochemical bio sensing is more efficient due to its low cost, ease of operation, and possibility for miniaturization. During my Ph.D., I synthesized mannose bearing aniline molecule which is successfully tested as electrochemical bio sensor. A Ferrocene-mannose conjugate with an anchoring group is synthesized, which can be used as a potential electrochemical biosensor.

Biological performance of a polycaprolactone-based scaffold used as fusion cage device in a large animal model of spinal reconstructive surgery

A bioactive and bioresorbable scaffold fabricated from medical grade poly (epsilon-caprolactone) and incorporating 20% beta-tricalcium phosphate (mPCL–TCP) was recently developed for bone regeneration at load bearing sites. In the present study, we aimed to evaluate bone ingrowth into mPCL–TCP in a large animal model of lumbar interbody fusion. Six pigs underwent a 2-level (L3/4; L5/6) anterior lumbar interbody fusion (ALIF) implanted with mPCL–TCP þ 0.6 mg rhBMP-2 as treatment group while four other pigs implanted with autogenous bone graft served as control. Computed tomographic scanning and histology revealed complete defect bridging in all (100%) specimen from the treatment group as early as 3 months. Histological evidence of continuing bone remodeling and maturation was observed at 6 months. In the control group, only partial bridging was observed at 3 months and only 50% of segments in this group showed complete defect bridging at 6 months. Furthermore, 25% of segments in the control group showed evidence of graft fracture, resorption and pseudoarthrosis. In contrast, no evidence of graft fractures, pseudoarthrosis or foreign body reaction was observed in the treatment group. These results reveal that mPCL–TCP scaffolds could act as bone graft substitutes by providing a suitable environment for bone regeneration in a dynamic load bearing setting such as in a porcine model of interbody spine fusion.