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Center for Life Nano Science

Center for Life Nano- & Neuro-Science

The IIT@Sapienza laboratory, born in 2010, revolves around two topics of biomedical interest where technological innovation is key to reach the goals.
The first regards neurodegenerative disorders, hereditary and sporadic conditions characterized by progressive nervous system dysfunction. The focus of the second will be brain tumours, the most life-threatening diseases of adulthood and childhood.
These challenging projects benefit from the establishment and convergence of common technological platforms. They avail themselves of state-of-the-art commercial equipment and, at the same time, foster and support the development of new techniques and instrumentation.

IIT Research Structures

Research Line

CLNS - Contacts

Contacts

Viale Regina Elena, 291
00161 Roma
Italy

Openings

IIT Publications List

Publications
2021
Milanetti E., Miotto M., Di Rienzo L., Monti M., Gosti G., Ruocco G.
2D Zernike polynomial expansion: Finding the protein-protein binding regions
Computational and Structural Biotechnology Journal, vol. 19, pp. 29-36
2021
Simonetti S., Natalini A., Peruzzi G., Nicosia A., Folgori A., Capone S., Santoni A., Di Rosa F.
A dna/ki67-based flow cytometry assay for cell cycle analysis of antigen-specific CD8 T cells in vaccinated mice
Journal of Visualized Experiments, vol. 2021, (no. 167), pp. 1-18
2021
Dobrowolny G., Martone J., Lepore E., Casola I., Petrucci A., Inghilleri M., Morlando M., Colantoni A., Scicchitano B.M., Calvo A., Bisogni G., Chio A., Sabatelli M., Bozzoni I., Musaro A.
A longitudinal study defined circulating microRNAs as reliable biomarkers for disease prognosis and progression in ALS human patients
Cell Death Discovery, vol. 7, (no. 1)
2021
Cappiello F., Carnicelli V., Casciaro B., Mangoni M.L.
Antipseudomonal and immunomodulatory properties of esc peptides: Promising features for treatment of chronic infectious diseases and inflammation
International Journal of Molecular Sciences, vol. 22, (no. 2), pp. 1-13
2021
Lanza E., Di Angelantonio S., Gosti G., Ruocco G., Folli V.
A recurrent neural network model of C. elegans responses to aversive stimuli
Neurocomputing, vol. 430, pp. 1-13