Organotypic models of ovarian cancer are 3D models containing defined extracellular matrices, such as collagen and fibronectin, ovarian cancer cells with specific genetic/molecular characteristics, and one or more cancer-associated stromal cell types (fibroblasts, mesothelial cells, endothelial cells) to mimic specific metastatic niches of ovarian cancer (omentum, peritoneum, interstitial stroma) and the complex interactions within tumor tissues.
Technologies
In this section it is possible to view, also through targeted research, the technologies inserted in the PROMO-TT Database. For further information on the technologies and to contact the CNR Research Teams who developed them, it is necessary to contact the Project Manager (see the references at the bottom of each record card).
Displaying results 1 - 15 of 16
Ageing characterization of Balsamic Vinegar of Modena (BVM) and Traditional Balsamic Vinegar of Modena (TBVM) by the combined use of Nuclear Magnetic Resonance spectroscopy (NMR) and multivariate statistical analysis. Our database allows to differentiate BVM from TBVM samples. Moreover, within BVMs, samples with ageing <3/>3 years can be discriminated and within TBVM, samples with ageing between 12 and 25 years as well as >25 years can be discriminated.
Aptamers, short structured single-stranded oligonucleotides binding at high affinity to a given target protein, are selected from large combinatorial libraries through repeated cycles of incubation of the library with the target, recovery and amplification of target-bound oligonucleotides (SELEX technology, Systematic Evolution of Ligands by EXponential enrichment). SELEX can be applied to select aptamers against a known target protein or against a specific cell phenotype, without any prior knowledge of the specific target, leading to new biomarkers discovery.
Combined use of High-Resolution Nuclear Magnetic Resonance spectroscopy (NMR) and multivariate statistical analysis for the differentiation of PDO Parmigiano Reggiano samples according to ripening and for the differentiation of PDO Parmigiano Reggiano from “Grana type” products available on the market.
The virtual dynamic docking, carried out in the MOLBD3 lab of the Institute of Biophysics, allows the identification of new drugs through the structural information deriving from the study of target proteins, responsible for some human pathologies. In particular, we screen drugs or small molecules (commercial/own libraries) against known protein sites, surface cavities, surfaces of protein-protein interactions (fixed/rigid hotspots) or structural transition states (dynamic hotspots).
VisLab laboratory of IMM possesses a latest generation Raman micro-spectroscope equipped for vibrational measurements with high spatial and spectral resolution, at controlled temperature and in fast-imaging. The apparatus can be used to collect information and chemico-physical maps without the need for sample preparation and alteration, therefore for non-destructive studies and in operating conditions.
Characterization of authenticity of honey by the combined use of high resolution Nuclear Magnetic Resonance spectroscopy (NMR) and multivariate statistical analysis. Particularly, based on our database, different characterization involving authentication assessment, like botanical or geographical origin determination are possible. Moreover, it is possible to detect saccharides addictions like inulin, corn/malt syrups, and inverted sugar. Finally, it is possible to distinguish the Italian biological honey from the conventional one.
Mergers e Acquisitions represent important forms of business deals because of the volumes involved in the transactions and the role of the innovation activity of companies. By considering the patent activity of about one thousand companies, we develop a method to predict future acquisitions by assuming that companies deal more frequently with technologically related ones.
The systems simulate, with high reproducibility, the conditions that occur in the different compartments of the gastrointestinal tracts and are promising to accurately mimic the digestive process, with the possibility to evaluate bioaccessibility and bioavailability. Moreover, the systems permit to study the synergic and reciprocal effects between the bioactive compounds characteristic of food and intestinal microbiota.
Plants can compete favorably with traditional expression systems (mammalian cells, yeasts or bacteria) to produce recombinant proteins/peptides of pharmaceutical/industrial/agrifood interest. This technology names “Plant Molecular Farming”. The CNR-IBBA research team offers the study of new strategies for the expression and optimization of recombinant proteins/peptides in plant-based systems (plant tissues, transgenic plants, plant cell culture). Our pipeline is based on the following modules:
The environment as well as the food production provide a number of both natural and synthetic compounds whose effects on human being as an organism have not yet been determined nor investigated.
High-Resolution Nuclear Magnetic Resonace (NMR) in solution also combined with multivariate statistical analysis to determine the quality and authenticity of saffron. Particularly the content of components (metabolites) is evaluated.
SITODIET is an innovative software that supports a translational approach to health’s state. It integrates various sources of physiological, behavioral, and psychological data to reduce the risks associated with the onset of lifestyle-related diseases (primary prevention), to support health professionals in early diagnosis (secondary prevention) or to manage the personalized therapy’s patient (tertiary prevention). SITODIETcollects data automatically, through actigraphy tools, as wristband or smartwatch, or manually
Wine is one of the economically most important beverages and may be subject to fraud and mislabelling, although that there are specific and strict rules protecting its authenticity in Europe. Single Nucleotide Polymorphisms (SNPs), recently identified and characterized thanks to advances in genomics, are considered the newest type of molecular marker for grapevine identification.
Safe, efficient and specific nano-delivery systems are increasingly needed for precision and regenerative medicine and targeted therapies (e.g. anticancer and antimicrobial therapies), as well as for the cosmetic and nutraceutical sectors’ applications. Despite the appreciable success of synthetic nanovectors, like for example liposomes, their clinical and market application is hampered by some limitations: • large scale production, • low cost production • intrinsic toxicity • limited cellular uptake • limited consumer acceptance.