DATA-SCIENCE AND MULTI-OMICS ANALYSIS (MOD.3: MASS SPECTROMETRY BASED OMICS SCIENCE: FROM INSTRUMENT TO BIOLOGICAL NETWORKS)
DATA-SCIENCE AND MULTI-OMICS ANALYSIS (MOD.3: MASS SPECTROMETRY BASED OMICS SCIENCE: FROM INSTRUMENT TO BIOLOGICAL NETWORKS)
| A.Y. | Credits |
|---|---|
| 2024/2025 | 4 |
| Lecturer | Office hours for students | |
|---|---|---|
| Michele Menotta |
| Teaching in foreign languages |
|---|
|
Course entirely taught in a foreign language
English
This course is entirely taught in a foreign language and the final exam can be taken in the foreign language. |
Assigned to the Degree Course
| Date | Time | Classroom / Location |
|---|
| Date | Time | Classroom / Location |
|---|
Program
Mass spectrometry. Introduction to MS. Ionization techniques, MS analyzer. Device coupling and instrumental configurations.
Protein identification. Edman degradation, Tandem MS, CID – Collision induced dissociation. ETD and ECD. Protein sequencing by MS. Peptide Mass Fingerprinting
PTM analysis methods. Techniques and methods for PTM analysis. Red-ox proteomics
Botom up, Top Down Proteomics. Quantitative proteomics. Multi-dimensional chromatography. MuDPIT. 18O, SILAC, ICAT, iTRAQ. High-throughput MS based proteomics. DIA e DDA; SWATH-MS e MSe. i High-throughput MS data nalysis.
Intro to metabolomics. Orbitrap and resolution factors. Metabolites identification: MS/MS, ChemSpider, Predicted compositions. FISh scoring algorithm . quantitative metabolomics, labellingand heavy compounds. Metabolic flux.
Teaching Material
The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it
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