Technologies

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.

The development of new materials with near-infrared emission (NIR, 700 – 1000 nm) represent an important target in the technological progress of innovative active components for OLED devices (including flexible ones), surveillance systems, autonomous driving, night vision sensors, fiber optic telecommunications and medical systems. In all these fields it still lacks a commercial NIR-OLED technology.

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.

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 platform allows acquisition of data from commercial and custom sensors. By now, the system has been embedded in a wearable wristband where elastomeric based strain gauge have been integrated to detect fine hand/wrist/arm movements. The platform integrates inertial sensors (accelerometers, gyroscopes) to acquire more details about the subject movements. A sensor-fusion algorithm enables advanced movement recognition (gesture, 3D orientation). A machine-learning algorithm is in development to increase the performance of the platform.

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.

Recently, it has been demonstrated that Raman spectroscopy can play a fundamental role in assisting the work of the anatomopathologist by allowing classification of oncological samples with practically 100% accuracy in oncological diagnosis.

This is a high-throughput sequencing based method to map euchromatin and heterochromatin accessibility. The method is based on the sequential extraction of distinct nuclear fractions containing: soluble proteins (S1 fraction); the surnatant obtained after DNase treatment (S2 fraction); DNase-resistant chromatin extracted with high salt buffer (S3 fraction); and the most condensed and insoluble portion of chromatin, extracted with urea buffer that solubilizes the remaining proteins and membranes (S4 fraction).

Grape pomace, a by-product of wine-making, is rich in polyphenols, metals, organic acids and can become a functional ingredient in food and beverage. The stabilisation of the pomace has been optimised to preserve the anti-inflammatory and antioxidant properties of the molecules present. Isolated grape skins have been reused in purity or in blends with other plant components as a base for: 1) herbal teas, 2) ready-to-drink functional beverages, 3) freeze-dried products.

Environmental monitoring is a rapidly growing field, both in academia and industry. The use of wearables for environmental monitoring is a promising technique, as it allows data to be collected continuously and comprehensively. The main problem with using wearables for environmental monitoring is the size and weight of the system, as well as the high degree of specialization required to develop a fully functional device.