Proteomics

A.A. 2021/2022
6
Crediti massimi
56
Ore totali
SSD
BIO/10
Lingua
Inglese
Obiettivi formativi
"Scopo dell'insegnamento è che i partecipanti acquisiscano:
· Le conoscenze relative ai concetti di base di proteomica e metabolomica, spettrometria di massa, dei diversi tipi di strumenti e delle numerose tecniche quantitative di proteomica e metabolomica;
· Gli strumenti cognitivi necessari per comprendere i vantaggi e gli svantaggi dei diversi approcci in relazione ad es. al carico di lavoro manuale, costi, sensibilità e scalabilità degli esprimenti
· La capacità di valutazione critica di un work-flow proteomico standard, a partire dalla preparazione del campione, sino a all'acquisizione di dati spettrometria di massa e alla loro analisi ed interpretazione
· Le competenze base per l'analisi e il processamento di dati di spettrometria di massa sperimentali acquisiti, come la loro conversione in formati standard, il controllo di qualità e l'identificazione delle proteine/metaboliti attraverso diversi algoritmi disponibili
· La conoscenza delle applicazioni di proteomica e metabolomica in biomedicina e biologia
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Risultati apprendimento attesi
"I risultati dell'apprendimento da parte degli studenti vengono valutati dai docenti tramite una prova scritta di esaminazione dell'apprendimento delle metodologie proteomiche e metabolomiche e nel loro utilizzo sulla base del programma svolto durante il corso.
L'esaminazione degli studenti da parte del docente sarà principalmente volta alla valutazione della conoscenza e comprensione delle tecniche proteomiche, metabolomiche e analisi dei dati ed alla valutazione delle competenze acquisite dallo studente al completamento dell'insegnamento stesso. In particolare, sarà valutata la proprietà di linguaggio utilizzata dallo studente, e le competenze acquisite per discriminare la scelta delle diverse metodologie e la loro eventuale integrazione da applicare a diverse problematiche scientifiche.
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Programma e organizzazione didattica

Edizione unica

Responsabile
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Programma
· Protein fractionation, separation, purification and quantification
· Protein extraction and sample preparation prior to MS
· Introduction to liquid chromatography (LC) separation
· Mass spectrometry (MS) fundamentals I
- Soft Ionization techniques (MALDI/ESI)
- Concepts of mass accuracy and resolution
- An overview on modern Mass Analyser design
· Mass spectrometry (MS) fundamentals II
- Tandem mass spectrometry
- Peptide fragmentation
- Protein de novo sequencing
· Protein Identification by probability-based scoring through search engines
· Shogun proteomics workflows and considerations
· Quantitative proteomics:
- Label-free and isotopic-label-based strategies
- Targeted proteomics
· Protein post-translational modifications
- Tailored Strategies (biochemical and analytical)
- Examples (phospho-proteomics, methyl-proteomics)
· Interaction proteomics: principles and examples (protein-protein, protein-nucleic acid interactions)
· Structural proteomics: XL-MS strategies and linked challenges
· Protein databases, bioinformatics and data analysis
· Proteomics application in cell biology (case-studies)
· Translational proteomics:
- Proteome profiling of clinical samples
- Proteomics of body fluids (serum, urine, etc)
- Proteomics in drug development (e.g chemo-proteomics, thermal protein profiling, etc)
- Case studies
· Proteomics and systems biology

· Metabolomics: definitions and approaches
· Sample preparation for metabolomics.
· Targeted and untargeted metabolomics approach. Typical metabolomic analysis workflows. Identification of metabolites. Metabolite databases.
· Univariate and Multivariate analyses of data: introduction to chemometry.
· Metabolomics and Systems Biology
· The dynamic study of metabolism: Fluxomics
· Applications of metabolomics in pre-clinical research
· Applications of Metabolomics in the clinics
Prerequisiti
Basic knowledge of chemistry and biochemistry. Notions on the nature and structure of proteins.
Basic knowledge of principle protein separation techniques (e.g. chromatography, electrophoresis, etc)
Metodi didattici
Lectures will be accompanied by hands-on laboratory work, during which the experiments carried out in the laboratory session will reinforce the concepts presented in the lectures. Practicals will also include computer work, through small computational tutorials carried out in small groups, with the following assignments: mass spectrum interpretation for peptide sequence reconstruction; launch of a protein ID search engine and discussion on data output; statistical and functional analysis of a quantitative proteomics experiment with MaxQuant/Perseus.
Class discussion will be also organized with presentation of real cases of proteomics and metabolomics studies, during which
students are required to actively interact.
Live discussions and questions during lecture and tutorials are encouraged
Materiale di riferimento
Students will be provided with the slides of the course, which must be suitably integrated with lecture notes.
With regard to the proteomics and metabolomics parts, mainly due to the rapid evolution that characterizes these disciplines, there are few texts on the market that include all the topics covered, adequately up-to-date.
Possible reference textbooks for proteomics and metabolomics are:
· Introducing Proteomics, from concepts to sample preparation, mass spectrometry and data analysis by J. Lovric (2011), Wiley-Blackwell Publishers
· Introduction to proteomics, Principles and Applications (2010) N. Mishra, John Wiley & Sons, Inc., Publication.
· Metabolomics: From Fundamentals to Clinical Applications (2017) A. Sussulini, Springer.
· Metabolomics in Practice: Successful Strategies to Generate and Analyze Metabolic Data (2013). M. Lämmerhofer and W. Weckwerth, Wiley‐VCH Verlag GmbH & Co. KGaA.
These textbooks will be then integrated with relevant recent reviews/articles on the topics covered during the lectures.
Video lectures and tutorials from past International Schools/Courses of proteomics and freely available online will also be indicated to the students
Modalità di verifica dell’apprendimento e criteri di valutazione
Given the highly interactive nature of the course, which includes practical and bioinformatics exercises, case studies and group work, it is essential to attend lessons regularly. Students who have followed at least 80% of the course are considered attending.
The overall assessment of the student will be based on their performance in the following aspects:

1) A compulsory written test, consisting of both open questions and multiple choice questions; the open questions will aim to verify the understanding of the principles of different approaches and strategies in proteomics and metabolomics, related to the simulation of real life scientific situations that embody what has been discussed in the course (40%)
2) An oral exam, based on the critical discussion of practical laboratory activities (assignments) and of a scientific article related to the topics addressed during the course (among a portfolio proposed by the teacher), which the students are expected to present and assess critically. During the oral exam the ability to use the specific disciplinary language appropriately and rigorously will be assessed (30%)
3) The class participation, creativity, ability to work in a team, during the practical assignments and activities (30%)
BIO/10 - BIOCHIMICA - CFU: 6
Esercitazioni: 16 ore
Lezioni: 40 ore
Docente/i
Ricevimento:
per appuntamento, da fissare via email o telefono
Edificio 13, piano 1 del Dipartimento di Oncologia Sperimentale, Istituto Europeo di Oncologia, Via Adamello 16, 20139 Milano
Ricevimento:
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Via Balzaretti 9, 20113 Milano
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