Universitą degli studi di Pavia

 

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Reho's cv

Curriculum  

PERSONAL INFORMATION

First name: Paolo
Surname: Reho
Date of birth: 25/06/1985
E-mail: paolo.reh01@ateneopv.it
Tel: +393403467872

EDUCATION

2013-date Ph.D student in Genetics, Molecular and Cellular Biology – University of Pavia. Department of Molecular Medicine, Medical Genetics laboratory.
Supervisor: Prof. Orsetta Zuffardi.

2013 State examination to practice the profession of Biologist, obtained in the first session of 2013 - University of Pavia

2010-2013 Master Degree in Experimental and Applied Biology (program in Human biology and biomedical sciences) - University of Pavia
Final grade: 110/110 cum laude
Thesis: “Characterization of transcriptional alterations in cells grown at high and low density using algorithms for functional annotation of gene lists”.
Supervisor: Dr. Silvia Bione
Co-supervisor: Prof. Guglielmina Nadia Ranzani

2007-2010 Bachelor degree in Biological Sciences (program in Human biology and biomedical sciences) - University of Pavia
Final grade: 92/110
Thesis: “Bioinformatic analysis for the study of allele-specific expression of GREM1 gene in colorectal cancer”.
Supervisor: Dr. Silvia Bione
Co-supervisor: Prof. Guglielmina Nadia Ranzani

WORK EXPERIENCE

2010-2013 Internship for Master’s Graduation Thesis. Institute of Molecular Genetics- National Research Council (IGM-CNR), Pavia, Computational biology laboratory.
Supervisor: Dr. Silvia Bione
In this experience has been analyzed a microarray of expression in which we compared the transcriptional profiles of epithelial cells derived from a colorectal cancer, grown at high and low density, mimicking an epithelial to mesenchymal transition mechanism. The use of various bioinformatics tools and databases has enabled us to find the major biological processes associated with the observed transcriptional modulations.

PERSONAL SKILLS

Languages Italian: native speaker
English: intermediate
French: basic

Bioinformatic The use of the main scientific online databases in the biomedical field
The use of bioinformatic tools for the management and interpretation of genome-wide data

Research Project  

The advent of next-generation sequencing technologies (Next Generation Sequencing-NGS) is rapidly changing the strategies used for genetic diagnosis and research in the field of rare diseases, which involve a large number of genes. These new methods have the potential to partially replace conventional techniques for the study of Mendelian diseases, accelerating the molecular diagnosis allowing you to provide a more accurate genetic counseling. This, in fact, is already changing the approach to genetic testing.
My PhD project will be focused on the NGS data analysis in the genetic diagnosis and research, in a collaborative work with the IRCCS Policlinico San Matteo. In addition, for the study of monogenic diseases, I will deal with mutation analysis using the Sanger method, developing protocols for the analysis of specific genes.

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