Technologies

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.

AIDD is an integrated tool and a radically new way to discovery new drugs for neurodegenerative diseases (Alzheimer’s, Epilepsy, Ageing, etc.).

Leishmaniasis is a zoonosis caused by the protozoan of the genus Leishmania, which affects both humans and animals through a phlebotomist. After malaria and lymphatic filariasis, leishmaniasis is the third most common disease on a global scale. Leishmania infantum is the species spread in the European continent and the Mediterranean basin. In Italy, from the hilly coastal areas and major islands, the infection has spread to many pre-Alpine areas and northern Italy.

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.

The Biocrystal Facility, a large multidisciplinary laboratory established at the Institute of Molecular Biology and Pathology (IBPM) of CNR, in collaboration with the Biochemistry Department of Sapienza University aims at supporting the italian scientists and the pharmaceutical companies in the research to find new drug and vaccine against the endemic and epidemic diseases through structure-based drug design.

Nowadays, to properly design and develop advanced materials capable to preserve for long times their performance under aggressive environments such as power generation plants, renewables, nuclear reactors and electronics of new generation, transport on ground and on space, aeronautics, catalysis, biomedical implants, the optimization of metallurgical processes involved is crucial.

The compact-GC platform is a MEMS-based analytical module for the purge&trap pre-concentration and (gas)-chromatographic separation of a sample. The two analytical MEMS (pre-concentrator and GC column) are interconnected by means of a MEMS microfluidic manifold. The microfluidic manifold interconnects the analytical MEMS, but it also acts as injector through the integrated micro-valves.

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).

We have identified the presence of the poorly characterized precursor proNGF-A in human tissues, deposited its coding nucleotide sequence (GenBank MH358394) and demonstrated its neuroprotective and neurotrophic activity in vitro and in vivo. We inserted mutations into the native molecule, identified through computational analysis, which allow proNGF-A production by eukaryotic expression systems, through a method currently validated on a laboratory scale.

Recently, nanoparticles and nanovesicles have been investigated as potential approaches for the treatment of neurodegenerative diseases. In particular, in the Biotech sector an increasingly deeper penetration of new treatment models and biological drugs based on cellular, subcellular and vesicle therapies is expected. The patent is based on the production of Myelin-based nanoVesicles (MyVes) produced by microfluidics, starting from myelin extracted from brain tissue. These vesicles find two major fields of applications as potential drugs or as supplements/nutraceuticals.

Severe asthma or chronic obstructive pulmonary disease (COPD) are nowadays associated with a poor response to corticosteroids which led to the use of high-dose with consequent improved onset of side effects. The use of nanotechnologies can represent an innovative approach for the effective treatment of both asthma and COPD. The development of new nano-formulations involving the use of nanomaterials and specifically tailored to be inhaled offers numerous advantages over conventional inhaled dosage forms.

Therapeutic strategies targeting cell cycle in cancer have in general failed in the clinic since the drugs have lacked the therapeutic index required to achieve a robust response against cancer cells with little or no cytotoxic effect on normal cells. NEK6 kinase, which is implicated in cell cycle control, has recently emerged as an attractive target for the development of novel anticancer drugs with enhanced therapeutic index.

We have identified compounds that show a neuroprotective action in vivo, in models of neurodegenerative diseases (e.g. SMA, Parkinson, Alzheimer, Huntington) in the model organism C. elegans. These compounds consist of: mixtures of 22 natural extracts, 15 natural molecules and 11 synthetic molecules.

With the advent of senolytic agents, capable of selectively removing senescent cells in “aged” tissues, the perception of age-associated diseases has changed from being an inevitable to a preventable phenomenon of human life. The present invention is part of this research topic with the identification of molecules with potential pro-apoptotic activity, specifically with senolytic activity. The computational approach adopted, is based on combining ligand-base and structure-based virtual screening.

Solid State Nuclear Magnetic Resonance spectroscopy (SSNMR) is today one of the most powerful techniques for characterizing solid and soft materials and systems. This spectroscopy allows the detailed characterization of structural and dynamic properties over large spatial (0.1-100 nm) and time (10²-10^-11 s) scales. Accessing these properties allows a deep knowledge of a material to be obtained and  its design and optimization to be oriented.