Objective
The overall objective of this proposal is the establishment of an innovative, automated screening instrument for high-throughput and high-tent screens. AUTOSCREEN will allow standardized, robust, automated, ultrasensitive, high-resolution analysis of RNAs, proteins and other cellular components at cellular and subcellular resolution. The generic technology for toponome analysis will be widely applicable in biomedical research and commercially relevant. Such an instrument is urgently needed by the genome research community as to the availability of complete genome sequences for biomedical research and the upcoming numerous opportunities for high-throughput and high-tent assays at a genome-wide scale. Detailed knowledge of the tissues and cells that express particular genes is mandatory. While microarrays provide general information on gene expression patterns, both their resolution and accuracy are inherently limited to the level at which tissues can be dissected. Therefore innovative instruments must allow in situ localisation of genes and proteins at high speed and with high spatial and temporal resolution at high-throughput. The partner SME companies will establish such a widely applicable robot-automated screening tool, but for being successful, they need tinuous feedback from and interaction with academic research groups. The main goal of the proposed effort is to develop an innovative screening platform suitable for high-throughput and high-tent cell-based assays and to demonstrate its suitability for high-resolution in situ techniques. This instrument, named AUTOSCREEN, will not only provide the basis for intelligent and efficient high-tent screens, it is also designed for low cost genetic, medical, chemical and pharmaceutical screens.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health sciencesbasic medicinepharmacology and pharmacydrug discovery
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteins
- natural sciencesbiological sciencesgeneticsRNA
- natural sciencesbiological sciencesgeneticsgenomes
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Call for proposal
FP6-2005-LIFESCIHEALTH-7
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Funding Scheme
STREP - Specific Targeted Research ProjectCoordinator
FREIBURG
Germany