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.

A.A. 2007/2008

Academic calendar

The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Academic year:
Definition of lesson periods
Period From To
1° Sem Oct 1, 2007 Jan 23, 2008
2° Sem Mar 3, 2008 Jun 6, 2008
Exam sessions
Session From To
Sessione straordinaria Feb 1, 2008 Feb 29, 2008
Sessione estiva Jun 16, 2008 Jul 25, 2008
Sessione autunnale Sep 1, 2008 Sep 30, 2008
Degree sessions
Session From To
Sessione Primaverile Mar 19, 2008 Mar 20, 2008
Sessione Estiva Jul 16, 2008 Jul 17, 2008
Sessione Autunnale Oct 15, 2008 Oct 16, 2008
Sessione Straordinaria Dec 1, 2008 Dec 2, 2008

Exam calendar

Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.

Exam calendar

Should you have any doubts or questions, please check the Enrolment FAQs

Academic staff

B C D F G L P T Z

Bassi Roberto

roberto.bassi@univr.it 045 802 7916; Lab: 045 802 7915

Cecconi Daniela

daniela.cecconi@univr.it +39 045 802 7056; Lab: +39 045 802 7087

Dal Belin Peruffo Angelo

angelo.peruffo@univr.it

Delledonne Massimo

massimo.delledonne@univr.it 045 802 7962; Lab: 045 802 7058

Dominici Paola

paola.dominici@univr.it 045 802 7966; Lab: 045 802 7956-7086

Furini Antonella

antonella.furini@univr.it 045 802 7950; Lab: 045 802 7043

Giorgetti Alejandro

alejandro.giorgetti@univr.it 045 802 7982

Guzzo Flavia

flavia.guzzo@univr.it 045 802 7923

Luciani Fabio

Pezzotti Mario

mario.pezzotti@univr.it +39045 802 7951

Polverari Annalisa

annalisa.polverari@univr.it 045 8027064

Torriani Sandra

sandra.torriani@univr.it 045 802 7921

Zapparoli Giacomo

giacomo.zapparoli@univr.it +390458027047

Study Plan

The 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 enrolment year.

ModulesCreditsTAFSSD
3
F
(BIO/10)
ModulesCreditsTAFSSD
ModulesCreditsTAFSSD
ModulesCreditsTAFSSD
5
S
(BIO/10)

1° Year

ModulesCreditsTAFSSD
3
F
(BIO/10)

2° Year

ModulesCreditsTAFSSD

3° Year

ModulesCreditsTAFSSD

4° Year

ModulesCreditsTAFSSD
5
S
(BIO/10)
Modules Credits TAF SSD
Between the years: 4°- 5°Esami a scelta dello studente tra quelli disponibili nell'ambito di sede per complessivi 18 crediti (IV e V anno)
4
S
(AGR/07 ,BIO/04)
4
S
(ING-IND/25)
4
S
(AGR/07 ,AGR/16)

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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S00195

Credits

5

Coordinatore

Daniela Cecconi

The teaching is organized as follows:

Teoria

Credits

4

Period

2° Sem

Academic staff

Daniela Cecconi

Laboratorio

Credits

1

Period

2° Sem

Academic staff

Daniela Cecconi

Learning outcomes

Module: Teoria
-------
Advanced proteomic: comprehensive program focused on the concepts and technologies for studying the proteome, including the innovative new tools.


Module: Laboratorio
-------
Practical skill in proteome analysis.

Program

Module: Teoria
-------
1. Introduction. The “Omics” sciences. Expressional, Functional, and Structural Proteomics.
2. Chromatographic methods (bi and multi dimensional) applied to proteome analysis. Multidimensional protein identification technology (MudPIT) and MultiDimensional Liquid Chromatography (MDLC).
3. Electrophoretic methods for proteome analysis. Isoelectrofocusing (carrier ampholytes IEF, and immobilized pH gradient, IPG). Polyacrylamide gel electrophoresis, PAGE (SDS-, Native-, and Gradient-PAGE). Two dimensional maps.
4. Sample preparation for proteomic analysis. Cell disruption, removal of interfering substances, protein solubilization, and protein quantification.
5. Pre-fractionation of the sample for the proteome analysis of low abundance proteins. Dynamic range. Differential centrifugation; immunoprecipitation; multi-step extraction of protein; affinity removal (albumin depletion, and Protein Equalizer Technology); and isoelectric focusing based fractionation (Rotofor, and Multi-compartment electrolyzer).
6. Image analysis: PDQuest and other softwares. Comparative proteomic analysis.
7. Mass spectrometry analysis. Mass spectra. Hard (electron impact EI) and soft ionization methods (chemical ionization CI, fast atom bombardment FAB, matrix assisted laser desorption ionization MALDI, and electrospray ionization ESI). Analyzers (magnetic sectors, quadrupole Q, time-of-flight TOF, ion trap IT, and Fourier Transform ion cyclotron resonance FT ICR). Detectors.
8. Tandem mass spectrometry MS/MS. Fragmenting a peptide. Tandem-in-space approach (TripleQ, Q-TOF, and TOF/TOF). Tandem-in-time approach (MALDI-TOF post source decay PSD, and IT).
9. Analysis of mass spectra. Data Base searching softwares and Data Bases for protein identification. Peptide Mass Fingerprinting (PMF), and Tandem MS data.
10. Quantitative proteomic analysis: Difference gel electrophoresis (DIGE), minimal and saturation labeling; stable isotope labeling by amino acid in cell culture (SILAC); isotope coded affinity tags (ICAT); isobaric tags for relative and absolute quantification (iTRAQ); absolute quantification (AQUA); acrylamide d0/d3; enzymatic labeling (H218O/ H216O); label free quantification (surface enhanced laser desorption/ionization SELDI-MS).
11. Post-translational modifications characterization. Glycosylation, nitration and nitrosylation, and phosphorylation. (IMAC; immunoprecipitation; biotin-switch, and other approaches).
12. Applications of proteomic analysis.



Module: Laboratorio
-------
Sample preparation.
Two-dimensional electrophoresis.
Staining protocols.
Image acquisition.
Image analysis.
Cut of the spots and spot preparation for MS analysis.
Protein identification through database searching of MS data.

Examination Methods

Module: Teoria
-------
written


Module: Laboratorio
-------
report

Type D and Type F activities

Academic year:

Modules not yet included

Career prospects


Module/Programme news

News for students

There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details.

Further services

I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.