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Pont Saint Martin, Italy

Bucci E.M.,BioDigitalValley Srl | Bucci O.M.,University of Naples Federico II | Sorrentino R.,University of Perugia
Proceedings of the IEEE | Year: 2014

Discusses the technologies and applications supported by nanotechnology, considered one of the 21st century's most promising technologies. Nanotechnology deals with the design, development, and manipulation of materials and devices with at least one dimension sized on a nanometer scale. It involves fields of science as diverse as surface science, organic chemistry, molecular biology, semiconductor physics, microfabrication, with a vast range of applications, such as in medicine, electronics, biomaterials, and energy production. Its ultimate goal is to be able to predictably design, construct, and control nanosystems, tailoring them to specified needs. © 2014 IEEE. Source

Zanini C.,University of Turin | Ercole E.,University of Turin | Mandili G.,University of Turin | Salaroli R.,University of Bologna | And 5 more authors.
PLoS ONE | Year: 2013

Background:Medulloblastoma (MB) is an aggressive pediatric tumor of the Central Nervous System (CNS) usually treated according to a refined risk stratification. The study of cancer stem cells (CSC) in MB is a promising approach aimed at finding new treatment strategies.Methodology/Principal Findings:The CSC compartment was studied in three characterized MB cell lines (DAOY, UW228 and ONS-76) grown in standard adhesion as well as being grown as spheres, which enables expansion of the CSC population. MB cell lines, grown in adherence and as spheres, were subjected to morphologic analysis at the light and electron microscopic level, as well as cytofluorimetric determinations. Medullospheres (MBS) were shown to express increasingly immature features, along with the stem cells markers: CD133, Nestin and β-catenin. Proteomic analysis highlighted the differences between MB cell lines, demonstrating a unique protein profile for each cell line, and minor differences when grown as spheres. In MBS, MALDI-TOF also identified some proteins, that have been linked to tumor progression and resistance, such as Nucleophosmin (NPM). In addition, immunocytochemistry detected Sox-2 as a stemness marker of MBS, as well as confirming high NPM expression.Conclusions/Significance:Culture conditioning based on low attachment flasks and specialized medium may provide new data on the staminal compartment of CNS tumors, although a proteomic profile of CSC is still elusive for MB. © 2013 Zanini et al. Source

Petti C.,Candiolo Cancer Institute FPO IRCCS | Picco G.,Candiolo Cancer Institute FPO IRCCS | Picco G.,University of Turin | Martelli M.L.,Candiolo Cancer Institute FPO IRCCS | And 8 more authors.
Oncotarget | Year: 2015

Constitutively active receptor tyrosine kinases (RTKs) are known oncogenic drivers and provide valuable therapeutic targets in many cancer types. However, clinical efficacy of RTK inhibitors is limited by intrinsic and acquired resistance. To identify genes conferring resistance to inhibition of the MET RTK, we conducted a forward genetics screen in the GTL-16 gastric cancer cell line, carrying METamplification and exquisitely sensitive to MET inhibition. Cells were transduced with three different retroviral cDNA expression libraries and selected for growth in the presence of the MET inhibitor PHA-665752. Selected cells displayed robust and reproducible enrichment of library-derived cDNAs encoding truncated forms of RAF1 and BRAF proteins, whose silencing reversed the resistant phenotype. Transduction of naïve GTL-16 cells with truncated, but not full length, RAF1 and BRAF conferred in vitro and in vivo resistance to MET inhibitors, which could be reversed by MEK inhibition. Induction of resistance by truncated RAFs was confirmed in other METaddicted cell lines, and further extended to EGFR-addicted cells. These data show that truncated RAF1 and BRAF proteins, recently described as products of genomic rearrangements in gastric cancer and other malignancies, have the ability to render neoplastic cells resistant to RTK-targeted therapy. Source

Alberio T.,University of Insubria | Bucci E.M.,BioDigitalValley Srl | Natale M.,BioDigitalValley Srl | Natale M.,Polytechnic University of Turin | And 4 more authors.
Journal of Proteomics | Year: 2013

Diagnosis of Parkinson's disease (PD) is currently assessed by the clinical evaluation of extrapyramidal signs. The identification of specific biomarkers would be advisable, however most studies stop at the discovery phase, with no biomarkers reaching clinical exploitation. To this purpose, we developed an automated literature analysis procedure to retrieve all the background knowledge available in public databases. The bioinformatic platform allowed us to analyze more than 51,000 scientific papers dealing with PD, containing information on 4121 proteins. Out of these, we could track back 35 PD-related proteins as present in at least two published 2-DE maps of human plasma. Then, 9 different proteins (haptoglobin, transthyretin, apolipoprotein A-1, serum amyloid P component, apolipoprotein E, complement factor H, fibrinogen γ, thrombin, complement C3) split into 32 spots were identified as a potential diagnostic pattern. Eventually, we compared the collected literature data to experimental gels from 90 subjects (45 PD patients, 45 non-neurodegenerative control subjects) to experimentally verify their potential as plasma biomarkers of PD. This article is part of a Special Issue entitled: From Genome to Proteome: Open Innovations. © 2013 Elsevier B.V. Source

Giordano M.,BioDigitalValley Srl | Natale M.,BioDigitalValley Srl | Natale M.,Polytechnic University of Turin | Cornaz M.,BioDigitalValley Srl | And 4 more authors.
Electrophoresis | Year: 2013

iMole is a platform that automatically extracts images and captions from biomedical literature. Images are tagged with terms contained in figure captions by means of a sophisticate text-mining tool. Moreover, iMole allows the user to upload directly their own images within the database and manually tag images by curated dictionary. Using iMole the researchers can develop a proper biomedical image database, storing the images extracted from paper of interest, image found on the web repositories, and their own experimental images. In order to show the functioning of the platform, we used iMole to build a 2DE database. Briefly, tagged 2DE gel images were collected and stored in a searchable 2DE gel database, available to users through an interactive web interface. Images were obtained by automatically parsing 16608 proteomic publications, which yielded more than 16500 images. The database can be further expanded by users with images of interest trough a manual uploading process. iMole is available with a preloaded set of 2DE gel data at http://imole.biodigitalvalley.com. © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. Source

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