Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea magistrale in Molecular and Medical Biotechnology - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
| Modules | Credits | TAF | SSD |
|---|
One course to be chosen among the followingOne course to be chosen among the followingTwo courses to be chosen among the followingThree courses to be chosen among the following2° Year activated in the A.Y. 2021/2022
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
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One course to be chosen among the followingOne course to be chosen among the followingTwo courses to be chosen among the followingThree courses to be chosen among the following| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
|---|
Two courses to be chosen among the following ("Biotechnology in Neuroscience" and "Clinical proteomics" 1st and 2nd year; the other courses 2nd year only)Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Clinical proteomics (2020/2021)
Teaching code
4S003688
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
CHIM/01 - ANALYTICAL CHEMISTRY
The teaching is organized as follows:
teoria
laboratorio [1° turno]
laboratorio [2° turno]
Learning outcomes
Module: theory
The aim of clinical proteomics is actually to find molecular signatures, to describe affected pathways and possibly identify candidate biomarkers that can help in the diagnosis, prognosis and prediction of therapeutic outcomes and elucidate pathogenic mechanisms.
Upon completing the course, students will have the knowledge necessary to recognize the strengthens and weakness of the different proteomics methodologies and of their application to current areas of clinical investigation.
Module: laboratory
The student will acquire laboratory skills through a series of experiments concerning the proteomic analysis through two-dimensional electrophoresis of biological samples.
Program
FOR LESSON INFO: https://www.dbt.univr.it/?ent=avvisope&id=154715
MM: Theory
• Introduction to clinical proteomics
• Strategies for protein sample preparation
• Gel-based and gel-free clinical proteomics analyses
• Protein Identification by Tandem Mass Spectrometry
• Label-Based and Label-free MS clinical proteomic approaches
• Differential profiling of Breast Cancer plasma proteome for biomarkers identification
• Clinical Proteomics to study Pancreatic Cancer Stem Cells
• Brain tissue proteomic analysis to identify biomarkers of Alzheimer’s Disease
• Evaluation of therapeutic effects of neural stem cells therapy in Parkinson’s disease
• Proteomics of cerebrospinal fluid to identify biomarkers for amyotrophic lateral sclerosis
• Pharmacoproteomics for elucidating the mechanism of action of anticancer drugs
MM: Laboratory
The student will participate to practical experiences which are typical analyzes of a clinical proteomics laboratory, such as: preparation of a protein extract for proteomic analysis, separation by isoelectric-focusing of proteins, separation by two-dimensional electrophoresis of protein extracts, staining and evaluation of proteomic profiles.
Bibliography
| Activity | Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|---|
| teoria | Josip Lovric | Introducing Proteomics: From concepts to sample separation, mass spectrometry and data analysis | Wiley | 2011 | 978-0-470-03524-5 | |
| laboratorio | Josip Lovric | Introducing Proteomics: From concepts to sample separation, mass spectrometry and data analysis | Wiley | 2011 | 978-0-470-03524-5 | |
| laboratorio | Josip Lovric | Introducing Proteomics: From concepts to sample separation, mass spectrometry and data analysis | Wiley | 2011 | 978-0-470-03524-5 |
Examination Methods
The aim of the exam is to verifying the level of achievement of the learning outcomes which are above indicated.
The exam consists of a written test that covers all the topics of the program. The students will have to answer to different open questions, demonstrating that they understand, and are able to use, the basic concepts of each topic. Understanding of practical experiences will be verified through questions which are included in the exam.
The final vote is obtained from the following formula: Vote = Vote_written exam
