Our particle-based method allows us to synthesise high complexity peptide arrays by combinatorial synthesis and for an unrivalled prize. We plan to further develop this new technology up to the level of robust prototype machines, and mate it to bioinformatics and readout tools. Together, our procedure(s) should boost the field of proteomics in a similar way as the lithographic technologies did with the field of genomics. Central to our novel method are the activated chemical building blocks that are “frozen” within solid amino acid particles. Thereby, we can use a colour laser printer to send them to defined addresses on a 2D support, where the particles are simply melted to induce a spatially defined coupling reaction of now freed amino acid derivatives. By repeated printing and melting cycles this simple trick yields high complexity peptide arrays. Based on existing pre-prototypes, we will develop a user-friendly peptide laser printer that spatially defined addresses our 20 different amino acid toners in high resolution to a support (WP1), and a scanner that especially fast and sensitive reads out the large formats delivered by the peptide laser printer (WP2). The increased production of amino acid toners and array supports are other bottlenecks in the output of peptide arrays that are tackled in WP3. This should allow us to increase the output of individual peptide spots from currently 0,5 Million to >10 Million peptides per month. Finally, to foster a market for high complexity peptide arrays, we will work out paradigmatic application examples in WP4. These aim to directly screen for antibiotic or apoptosis inducing D-peptides, and for the comprehensive readout of the different antibodies that patrol the serum of autoimmune patients. Based on user-friendly prototype machines, on first paradigmatic application examples for high complexity peptide arrays, and shielded by a strong patent, the participating SMEs will commercialise this new technology.
Deciphering the information on genome sequences in terms of the biological function of the genes and proteins is a major challenge of the post-genomic era. Currently, the bulk of function assignments for newly sequenced genomes is performed using bioinformatics tools that infer the function of a gene on the basis of sequence similarity with other genes of known function. It is now well recognised that these primary, sequence similarity-based function annotation procedures are frequently inaccurate and error prone. Continuing to use them without clearly defining the limits of their applicability would lead to an unmanageable propagation of errors that could jeopardise progress in Biology. On the other hand, various novel bodies of data and resources are becoming available. These provide information on context-based aspects of the biological function of genes, namely on physical and functional interactions between genes and proteins, and on whole networks and processes. In parallel structural genomics efforts world wide are providing a much better coverage of the structural motifs adopted by proteins and on their interactions. The availability of these additional and novel data offers an unprecedented opportunity for the development of methods for incorporating higher-level functional features into the annotation pipeline.
The GeneFun project aims at addressing these two important issues. The issue of annotation errors will de addressed by developing criteria for evaluating the reliability of the annotations currently available in databases. These criteria will be used to assign reliability scores to these annotations and will be incorporated into standard annotation pipelines, for future use. The issue of incorporating higher-level features into functional annotations will be addressed by combining sequence and structure information in order to identify non-linear functional features (e.g. interaction sites), and by integrating available and newly developed methods for inferring function from higher-level and context-based information (protein domain architecture, protein-protein interaction, genomic context such as gene order etc.).
To achieve these aims several European groups with strong track record in developing novel methods and analyses in comparative genomics, structural- and systems- oriented bioinformatics, and in information technology, have teamed up with an experimental group from Canada, which is well known for its outstanding achievements in the field of structural and functional proteomics. The expected output of the GeneFun project is: improved procedures for inferring function on the basis of sequence similarity, a set of procedures for predicting non-linear functional features from sequence and 3D structure in a more automated way, and benchmarked procedures for predicting context-based functional features. Major efforts will be devoted to devising protocols that optimally combine the results from several methods. In particular Web-based servers to the individual and combined procedures will be developed, and made available to the scientific community. The community will be introduced to these new tools through open workshops and training sessions.
Genetically Modified Microbes (GMM) are a biotechnological alternative to different environmental problems such as remediation of polluted sites, where microbes with recombinant catabolic pathways are envisaged as the solution for removal of toxic organic compounds. Moreover, the exploration and exploitation of synergistic interactions between plants and microbes for phytoremediation is also a target to solve contamination problems. Critical to the safe application of recombinant microbes in the environment, and re-assurance of public concerns, is adequate information on safety-related properties of the microbes in question. Current whole genome sequencing efforts on relevant microbes provide a unique opportunity to extract completely new safety-related information, to conduct experiments to generate important new data, and to create new tools for increasing the degree of predictability of the behaviour of strains designed for applications in the open environment or in industrial bioreactors.
One of the microorganisms with current applications in Biotechnology is Pseudomonas putida, a paradigm of metabolically versatile microorganism which recycles organic wastes in aerobic compartments of the environment, and thereby plays a key role in the maintenance of environmental quality. The strain KT2440 is the most extensively characterised and best understood strain of P. putida. KT2440 is a nonpathogenic bacterium certified in 1981 by the Recombinant DNA Advisory Committee (RAC) of the United States National Institutes of Health as the host strain of the first Host-Vector Biosafety (HV1) system for gene cloning in Gram negative soil bacteria. Since then, KT2440 has been used world-wide as host of choice for environmental applications involving expression of cloned genes. This strain is one of the few nonpathogenic microbes which are subject to whole genome sequencing by a P. putida genome project currently in progress in Germany. The sequence data generated in the genome project is being made public at appropriate intervals (a 10-fold genome equivalent of raw sequence data is already available) and will constitute an invaluable resource for this project. Therefore, this microorganism, its recombinant derivatives and the body of knowledge accumulated in the last 20 years on its genetics, physiology and biochemistry make it an ideal and friendly microbe for safe biotechnological applications in the environment.
The major aim of this project is to settle the basis to reduce in a rational, environmentally friendly, and safe manner our contamination problems by developing P. putida strains useful to design environmental treatment systems in harmony with the biosphere.
…takiej samej ceny przez co najmniej dwóch Oferentów, Zamawiający powoła na kolejny parametr – termin realizacji, a w przypadku braku rozstrzygnięcia Oferenci zostaną wezwani do ponownego przedstawienia cen. Na prośbę…