Technologies

Silicon nanowires (SiNWs) are 1D structures with diameter ranging from few tens to hundreds of nanometers and length varying from few tens of nanometers to millimiters. SiNWs are fabricated in the labs of the IMM-CNR, Rome Unit,  by using bottom-up technologies such as plasma enhanced chemical vapor deposition (PECVD) at low growth temperature ((≤350°C), allowing the use of plastic and glassy substrates. Their electrical properties can be tuned by controlling the p/n doping during the growth.

Extracellular vesicles produced by teratocarcinoma cells were isolated and characterized. Functional assays on glioblastoma (GBM) cell cultures showed the inhibitory effect of these vesicles on tumor cell migration, without inducing undesirable effects such as increased cell proliferation or chemotherapy resistance.

The aim of the research group is the creation of 3D models (microorgan/ organoids) constructed using samples obtained from patients, both biopsy samples and samples collected with non-invasive techniques (exhaled breath condensate, induced sputum, blood samples).

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.

Currently, liposomes (artificially synthesised vesicles) are widely used as carriers for a variety of molecules in the cosmetic and pharmaceutical industries. In the clinical applications, for instance, they are employed to encapsulate a range of substances, such as antibiotics, proteins, genetic material, vitamins and anti-cancer drugs.

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.