Agency: Cordis | Branch: FP7 | Program: CP-TP | Phase: NMP.2011.1.3-1 | Award Amount: 4.85M | Year: 2012
INSTANT will face the challenge of the detection, identification and quantification of engineered nanoparticles (ENPs) in complex matrices such as cosmetic products and engineered food and drinks. Therefore, new detection methods and technologies are mandatory. This is completely in line with the Call FP7-NMP.2011.1.3-1 which deals especially with innovative, practically implementable and cost effective measurement approaches for ENPs in complex matrices. Recently emerging ENPs include Ag, SiO2, TiO2, ZnO, and organic NPs. The Opinion of the Scientific Committee on the Potential Risks Arising from Nanoscience and Nanotechnologies on Food and Feed Safety released by the European Food Safety Authority (EFSA) (2009) also highlights the urgent need for such a tool. Accordingly, the interdisciplinary project INSTANT will develop an innovative and integrated technology for monitoring the exposure of consumers to ENPs using a label free opto-electrochemical sensor array in combination with novel recognition elements. The SME driven INSTANT will develop an innovative, cost effective, and easy to use analytical tool to extract, detect and identify ENPs typically used in cosmetic products (e.g. sunscreen, toothpaste, deodorant, ...) and engineered food (e.g. instant soups, ketchup, ice cream, ...) and drinks (e.g. fruit juice, energy drinks, bottled water, ...). A crucial point of measuring in these complex matrices is the sample preparation and extraction. Therefore INSTANT will develop and integrate tailored extraction methods. Especially the size distribution of ENPs in the sample and the influence of the matrix on chemical and physical properties of the ENPs have to be taken into account. The INSTANT device will be designed to be used as a cost effective monitoring tool which is suitable for characterisation and classification of ENPs for the future implementation of quantitative structure-activity relationship studies.
Agency: Cordis | Branch: FP7 | Program: CP-FP | Phase: HEALTH.2012.2.1.2-1 | Award Amount: 3.14M | Year: 2012
Currently cervical histology is the gold standard procedure in the field. However, there is a need for alternative approaches and specific biomarkers to aid objective CIN lesion grading and to identify true high grade cervical disease, especially in the advent of primary HPV screening and widespread HPV vaccination. Panel of mRNA markers has been developed using systems biology and datamining tools and has demonstrated high specificity [93%] and sensitivity [88%] for detecting CIN 2-3 lesions. Clinical data supports its application as a cervical cancer grading biomarker as well. Our goal is to ascertain the utility of this novel panel and extend it using systems biology approaches with experimentally and computationally derived proteomic biomarkers in cervical pre cancer and cancer disease, for more accurate diagnosis of CIN disease. Toward that goal we establish a general framework for validation of proteomic biomarkers. This will be achieved by combining advanced technologies in a robust and time-effective way, including DNA array to protein array copying, Human Combinatorial Antibody Library of phage display and iRIfS, imaging Reflectometric Interference Spectroscopy technology. Systems biology approached would focus on both the existing and new markers and will use this framework rapid validation. Systems biology exploration of some specific pathways is justified by our previous data, that the CIN1/CIN2\ discrimination could be related to some given pathways. The proposed approach potentially reduce costs of cervical clinical studies providing a reliable, quantitative, multi-content diagnostic approaches and results in reducing the number of colposcopic events. Cytology specimens will be of greater clinical utility and will result in earlier detection of disease. Molecular characterization of CIN lesions provides a basis for re-definition of histological categories.
Agency: Cordis | Branch: FP7 | Program: BSG-SME | Phase: SME-2013-1 | Award Amount: 1.53M | Year: 2014
Sepsis is a life-threatening illness caused by the bodys overreaction to an infection and can be triggered either directly by infection or may occur after medical treatment or surgery.The mortality rate in patients admitted to hospital with severe sepsis is 28-50% and it remains the most prevalent cause of death in non-coronary Intensive Care Units (ICUs ). It is estimated that in the US ~$17 billion were spent annually treating sepsis in patients and a similar amount is spent across the EU. To reduce costs and provide better treatment to patients, early, accurate diagnosis is critically important. The CE-microArray project will utilize existing technology from clinical chemistry, microplate readers and cavity enhanced spectroscopy in a truly novel way to develop more sensitive, accurate, faster and more useful diagnostic platform. The project consortium comprises experienced SMEs from across Europe who have developed the concept but do not have the capability to undertake the required Research and Development to produce working prototypes in preparation for commercialization. To do this they require funding to pay third party R&D specialists to undertake the R&D. The project aims to produce a solution based on colorimetric detection that will be up to 100 times more sensitive, reducing the damage to patients with sepsis, allow sensitive and accurate detection of an increased range of biomarkers at lower cost and higher throughput. The market opportunity is estimated be greater than 1 billion and will bring a cumulative profit of ~38 million to the SME consortium over 5 years.
Agency: Cordis | Branch: FP7 | Program: CP-FP | Phase: HEALTH.2011.1.1-1 | Award Amount: 5.55M | Year: 2012
We want to further develop our tools and technologies for high-throughput research, with the final goals being (I.) the particle-based combinatorial synthesis of 1 Mio different peptides on a glass slide for chemical costs of ~50 (KIT, CBL, MS, TUV), and (II.) the labelling-free parallel readout of binding affinities by a variant reflectometric interference spectroscopy method for ~10.000 peptide spots per cm(\2) when staining the array with an unlabeled protein (BIA, KIT). These tools provide the basis (III.) for a standardized, fast, and reliable high-throughput procedure that we want to develop in order to find high-affinity peptide binders against any pharmaceutically interesting target protein. Such a procedure might have an important impact in medicine and in the biotechnology industry. In order to achieve this goal, we will use display techniques that in combination with high-throughput sequencing typically will identify ~100.000 putative peptide binders per target protein (ISO). These will be synthesized in array format to validate binding to the target protein by an independent method (PPP, DKFZ). Next, based on binders from initial screens, many variant peptides are synthesized in high-density array format for iterative screens (PPP, DKFZ, KIT), whereby massive parallel labelling-free detection of binders pinpoints higher-affinity binders (BIA). In order to validate our novel high-throughput procedure, (IV.) we want to find high-affinity peptide binders against relevant target proteins (delivered by APO and OXF), and test these binders in biological assays (OXF, APO).
PubMed | Biametrics GmbH and Albert Ludwigs University of Freiburg
Type: | Journal: Journal of laboratory automation | Year: 2016
This system allows the high-throughput protein interaction analysis on microarrays. We apply the interference technology 1-imaging reflectometric interferometry (iRIf) as a label-free detection method and create microfluidic flow cells in microscope slide format for low reagent consumption and lab work compatibility. By now, most prominent for imaging label-free interaction analyses on microarrays are imaging surface plasmon resonance (SPR) methods, quartz crystal microbalance, or biolayer interferometry. SPR is sensitive against temperature drifts and suffers from plasmon crosstalk, and all systems lack array size (maximum 96 spots). Our detection system is robust against temperature drifts. Microarrays are analyzed with a spatial resolution of 7 m and time resolution of 50 fps. System sensitivity is competitive, with random noise of <5 10
Ewald M.,University of Tübingen |
Fechner P.,Biametrics GmbH |
Gauglitz G.,University of Tübingen
Analytical and Bioanalytical Chemistry | Year: 2015
For the first time, a multi-analyte biosensor platform has been developed using the label-free 1-lambda-reflectometry technique. This platform is the first, which does not use imaging techniques, but is able to perform multi-analyte measurements. It is designed to be portable and cost-effective and therefore allows for point-of-need testing or on-site field-testing with possible applications in diagnostics. This work highlights the application possibilities of this platform in the field of animal testing, but is also relevant and transferable to human diagnostics. The performance of the platform has been evaluated using relevant reference systems like biomarker (C-reactive protein) and serology (anti-Salmonella antibodies) as well as a panel of real samples (animal sera). The comparison of the working range and limit of detection shows no loss of performance transferring the separate assays to the multi-analyte setup. Moreover, the new multi-analyte platform allows for discrimination between sera of animals infected with different Salmonella subtypes. © 2015 Springer-Verlag Berlin Heidelberg
Fechner P.,Biametrics GmbH |
Bleher O.,University of Tübingen |
Ewald M.,University of Tübingen |
Freudenberger K.,University of Tübingen |
And 15 more authors.
Analytical and Bioanalytical Chemistry | Year: 2014
This review is focused on methods for detecting small molecules and, in particular, the characterisation of their interaction with natural proteins (e.g. receptors, ion channels). Because there are intrinsic advantages to using label-free methods over labelled methods (e.g. fluorescence, radioactivity), this review only covers label-free techniques. We briefly discuss available techniques and their advantages and disadvantages, especially as related to investigating the interaction between small molecules and proteins. The reviewed techniques include well-known and widely used standard analytical methods (e.g. HPLC-MS, NMR, calorimetry, and X-ray diffraction), newer and more specialised analytical methods (e.g. biosensors), biological systems (e.g. cell lines and animal models), and in-silico approaches. © 2014 Springer-Verlag Berlin Heidelberg.