Objetivo
1. Project summary A consortium of three companies and two academic research units from Czech Republic, Denmark, Germany and The Netherlands are working together to develop commonly a new approach for improving essential steps in the microarray based gene analytical method. Presently this method consists mainly of five parts, namely
1. Extraction of the nucleic acids out of biological samples to be analysed,
2. Preparation of the relevant target sequences by amplification, cDNA-synthesis and/or labelling,
3. Hybridisation of the generated targets on microarray,
4. Measurement of the hybridisation signals and
5. Analysis of the data. Since hybridisation, signal measurement and data analysis can be combined in an advanced microarray-based gene sensor system, innovative solutions are needed for getting out of the system quantitative results reflecting the real level of the different nucleic acids to be measured in the biological samples. For analysing those samples containing a large number of different sequences a reduction of the complexity of the nucleic acids mixture is needed. This task will be solved by the new nano-biotechnical component to be developed. It will recognise only a certain set of sequences during the extraction procedure and will allow to transfer these nucleic acids without further preparation steps to the microarray chips improving thereby the detection limit of the whole system. As part of an advanced online hybridisation microarray system ("gene sensor") the structured-structured surfaces of these components will also make possible to improve the robustness and reliability of microarray based DNA-analytical investigations, especially if low abundant species of nucleic acid molecules have to be detected and to be quantified in extracts containing an excess of other nucleic acids. This is often the case in biomedical diagnostics and quality control of food and feed products, for measuring gene expression levels of low abundant mRNA species as well as in many other cases of research and bio-analytical routine measurements in clinical and industry. The final goal is to create an integrated system designed to allow rapid, label-free and low cost analyses of DNA or RNA in highly complex samples.
Ámbito científico
- natural sciencescomputer and information sciencesdata science
- natural sciencesbiological sciencesbiochemistrybiomoleculesnucleic acids
- natural sciencesbiological sciencesgeneticsDNA
- social sciencespolitical sciencespolitical transitionsrevolutions
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
Palabras clave
Convocatoria de propuestas
FP6-2002-NMP-1
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Régimen de financiación
STREP - Specific Targeted Research ProjectCoordinador
BREMEN
Alemania