Consejo Superior de Investigaciones Científicas posted this:Molecular Method that radically improves the diagnosis of Hereditary hemorrhagic telangiectasia (HHT)Molecular Method that radically improves the diagnosis of Hereditary hemorrhagic telangiectasia (HHT). The Granada University, Health and Progress Foundation, and the CSIC have developed a diagnostic molecular system for the HHT by getting a simple liquid biopsy from the patient. Industrial partners are being sought to collaborate through a patent license agreement to use this molecular diagnostic system with the possibility of informatics support.
UACOOPERA University of Aveiro posted this:
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Jordi Reverter posted this:
Licensing Manager at Institut Català de Nanociència i Nanotecnologia
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Universidad de Granada posted this:Method for isolating circulating epithelial pulmonary cells and their use as markers for diagnosing Chronic Obstructive Pulmonary Disease (COPD)A procedure is described based on Liquid Biopsy techniques that allows both the diagnosis of COPD, as well as its evolution in patients. In order to do that, circulating pulmonary cells (CPCs) that could be present in blood of patients diagnosed with COPD are detected and characterized by combining two different techniques: - Immunogenetic positive selection for their isolation in peripheral blood. - Immunocytochemistry for detecting CPCs by using specific markers for pulmonary epithelial cells.
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Germans Trias i Pujol Health Sciences Research Institute posted this:Diagnostic biomarkers for dementia with Lewy BodiesThe present data provide a solid basis for the development of genetic biomarkers for the early identification of patients suffering from dementia with Lewy bodies and to classify them into specific molecular subtypes. One of the biomarkers correlates with the development of Lewy pathology in the brain and may be useful to monitor the success of possible alpha-synuclein antiaggregatory therapies.
Universidad de Alicante posted this:A decision support system for melanoma diagnosis.A Spanish Research Group has developed a system to help in the recognition of a melanoma through the visual characteristics of an image of the skin lesion. This system can be used as an automated way to decide the urgency to refer a patient to the dermatologist.
uacoopera posted this:System for the collection , storage and exhaled alveolar air conditioning for clinical analysisA group of researchers from Portuguese university developed a device that allows the collection and storage of the exhaled alveolar air by humans. The invention aims simultaneously to overcome some of the technical difficulties in the current state of the art, such as i) little or no response in the selective collection of alveolar air fraction ii) the inability to couple systems that allow concentration/extraction of analytes of interest iii) the inexistence of systems to the storage of the collected biofluid under controlled conditions and iv) the inability to collect exhaled air in liquid or vapor state. The university is looking for companies interested in the industrial production of the equipment and its commercialization.
Institute of Chemical Research of Catalonia posted this:Optical Quantification of enzymatic activity: a non-invasive diagnosis toolThe platform allows for accurate measurement of the enzymatic activity thanks to the presence of an optical signal that remains unchanged during digestion and serves as a ruler to which modifications of another signal, affected by enzymatic activity, is compared. The platform can be used in small devices, at point of care and in non-invasive diagnostic procedures. The platform is also highly versatile as a simple modification of the particle will allow using it in totally different diagnostic applications.
Centre Technology Transfer CITTRU posted this:Anti-histidine and Anti-arginine Tag DNA aptamers for biotechnological applicationsThe subject of the offer are unique sequences of single-stranded DNA aptamers with high affinity to any molecule (peptide, protein or DNA derivative) containing His-Tag and Arg-Tag and their application in biotechnology in analysis of His-Tagged and Arg-Tagged molecules.
Fundació URV posted this:α-ketoglutarate as a predictor of morbid obesity-associated nonalcoholic fatty liver disease• Use of α-ketoglutarate as a novel biomarker of nonalcoholic fatty liver disease (NAFLD). • α-ketoglutarate analysis is a non-invasive quantitative measure of liver steatosis. • This method may reduce the need for liver biopsy, particularly in patients with metabolic risk factor. • The method could be used to design a kit to detect and quantify plasma α-ketoglutarate concentration. • Measurement of this biomarker may be useful in the assessment of NAFLD progression.
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RAMOT at Tel Aviv University Ltd. posted this:A novel approach for a genome-wide detection of synthetically-lethal genes in cancer: Towards rational drug target identification and personalized treatmentsSynthetic lethality occurs when a perturbation of two nonessential genes is lethal. This phenomenon offers a unique opportunity to develop selective anticancer drugs that will target a gene whose Synthetic Lethal (SL)-partner is inactive only in the cancer cells. Towards the realization of this potential, screening technologies have been developed to detect SL-interactions in model organisms and in human cell lines. However, currently their scope falls short compared to the large spectrum of interactions that need to be surveyed in cancer. Here we present a data-driven computational pipeline for the genome-wide identification of SL-interactions in cancer, by analyzing large volumes of genomic profiles of cancer cell lines and clinical samples. Our approach is first shown to successfully capture the SL-partners of tumor suppressors and oncogenes, according to six published experimental SL-screens. Second, we construct the first genome-wide network of SL-interactions in cancer and demonstrate its utility in predicting gene essentiality in a cancer-specific manner. Third, we show that, as predicted, underexpression of SL-partners has a strong positive prognostic value for cancer survival. Fourth, we identify synthetic lethality arising from gene over-activation and show that it can be utilized to predict anticancer drug efficacy. Lastly, we develop a complementary computational approach that by harnessing the obtained SL-networks identifies the most suitable treatment per patient, and identifies novel anticancer drug-targets, providing drug repurposing leads. Our approach provides a solid basis guiding future experimental studies aimed at developing new, selective anticancer therapies. Project ID : 2-2013-713