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Laurea magistrale in Bioinformatica e biotecnologie mediche

Proteomica analitica e clinica (2012/2013)

Course code 4S000680  
Credits 6  
Coordinator Daniela Cecconi
Other available courses Laurea magistrale in Biotecnologie agro-alimentari  
Disciplinary sector CHIM/01 - ANALYTICAL CHEMISTRY
Teaching language Italian
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Teaching is organised as follows:

Activity Credits Period Academic staff
Teoria 5 II semestre Daniela Cecconi
Laboratorio 1 II semestre Daniela Cecconi

Lecture timetable

II semestre
Activity day Time Type Place Note
Teoria Tuesday 8:30 AM - 10:30 AM lesson Lecture theatre H  
Teoria Thursday 11:30 AM - 1:30 PM lesson Lecture theatre H  

Educational objectives

Clinical proteomics is the science that aims to develop technologies for the treatment of patients through the analysis of proteomes of healthy and sick cells. This research area aimed to identify proteins that can be used as early markers in blood, urine, or tissues of cancer patients, or that may predict response to therapy or the relapse after treatment.

Syllabus

PROTEOMICS

Analytical proteomics (LM9+LM7):

1. Introduction.

2. Sample preparation.

3. Gel-based separation.

4. 2D gel Image analysis.

5. Gel-free separation.

6. Pre-fractionation of low abundance proteins.

7. Analysis of proteins/peptides by Mass Spectrometry.

8. Analysis of proteins/peptides by Tandem Mass Spectrometry.

9. Analysis of mass spectra and database search for protein identification.

10. Differential and Quantitative proteomics.

11. Characterization of post-translational modifications.

12. Proteomics in agro-food and biomedical areas.


Clinical proteomics (LM9):

13. Application of Proteomics in Cancer Research.

14. Proteomics and lymphomas (mantle cell lymphoma and splenic lymphoma).

15. Proteomics and stem cells. Study of mechanism of action of new drugs.

16. From iron-diseases to hypertension: application of clinical proteomics.

17. Hemochromatosis and Intrauterine growth retardation

18. Cardiac diseases.

19. Autoimmune disease.

20. Bacterial and viral infections.

Exam methods

written

Statistics on students' past performance (Art. 2 del D.M. 31/10/2007, n. 544)

Data from AA 2012/2013 are not available yet