Stefano Confalonieri
[email protected] | |
Telephone | +39 02 94372755 |
Location |
Building 13
Floor 3rd Via Adamello 16, Milano |
Member of
After graduating in Biochemistry from the University of Pavia in 1993, I worked for 2 years at the Mangiagalli Clinic in Milan as a postgraduate fellow studying genetic and chromosomal abnormalities in spontaneous abortion. I then joined Prof. Di Fiore’s group at the European Institute of Oncology (IEO), studying the mechanisms and regulation of receptor internalization. In 2000, I moved to the FIRC Institute of Molecular Oncology (IFOM) in Milan where I was appointed Staff Scientist in Computational Biology in Di Fiore’s group in 2001. Through my work, I have developed a broad expertise in a range of bioinformatics tools, programs and software, in particular in protein alignment, domain identification, protein folding and structure prediction.
In 2010, I was appointed Head of the Molecular Pathology Facility situated first at the IFOM-IEO Campus, then at IEO. Here, I gained experience in tissue microarray (TMA) technology, collection and organization of clinical samples, TMA design and production, and data acquisition and analysis.
Since 2015, I have been serving as the Computational Biologist in Di Fiore’s group at IEO, where I am supporting “in silico” research activities, project planning and data analysis of ”omics” experiments. In these last years, I have acquired expertise in MS proteomics, NGS technologies and data analysis software.
Alongside my research activities, I teach Computational Biology in PhD programs of the European School of Molecular Medicine (SEMM).
Most Relevant Publications
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Exon 3 of the NUMB Gene Emerged in the Chordate Lineage Coopting the NUMB Protein to the Regulation of MDM2.
G3 (Bethesda), 2019
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A Numb-Mdm2 fuzzy complex reveals an isoform-specific involvement of Numb in breast cancer.
J Cell Biol, 2018
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Reticulon 3-dependent ER-PM contact sites control EGFR nonclathrin endocytosis.
Science, 2017
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Biological and molecular heterogeneity of breast cancers correlates with their cancer stem cell content.
Cell, 2010