ID:
511210
Duration (hours):
24
CFU:
3
SSD:
BIOCHIMICA
Year:
2025
Overview
Date/time interval
Primo Semestre (29/09/2025 - 23/01/2026)
Syllabus
Course Objectives
Understanding the most relevant biochemical properties of complex biological and biotechnological samples, and the related analytical challenges. Acquire the ability to critically evaluate sample processing and separation workflows, and to tailor these activities as a function of distinct analytical objectives.
Acquiring concepts on the fundamentals of the most relevant technologies for the analysis of complex biotechnological, biological and biopharmaceutical samples, such as mass spectrometry, including the different types of instruments and the main related applications (e.g. targeted and untargeted proteomics and metabolomics analyses, identification and structural characterization, quantitative aspects).
Acquire the ability to understand and evaluate proteomics and metabolomics workflows and outputs.
Understand the applications for proteomics and metabolomics in drug discovery, development and evaluation
Acquiring concepts on the fundamentals of the most relevant technologies for the analysis of complex biotechnological, biological and biopharmaceutical samples, such as mass spectrometry, including the different types of instruments and the main related applications (e.g. targeted and untargeted proteomics and metabolomics analyses, identification and structural characterization, quantitative aspects).
Acquire the ability to understand and evaluate proteomics and metabolomics workflows and outputs.
Understand the applications for proteomics and metabolomics in drug discovery, development and evaluation
Course Prerequisites
Basic knowledge of chemistry and biochemistry, including nature and structure of proteins and of major metabolites.
Notions on major separative techniques (e.g. electrophoresis, chromatography, etc)
Notions on major separative techniques (e.g. electrophoresis, chromatography, etc)
Teaching Methods
The course consists of 24 hours of face-to-face lectures, with the support of slides and videos. The teaching activity will be integrated with in-class interactive discussions on scientific articles and real cases of proteomic and metabolomic analyses in the pharmaceutical field. PDF slides and other teaching material will be made available to students in the dedicated section of the KIRO platform. The teacher is available upon request for potential additional clarification on specific topics.
Assessment Methods
Students must show that they have learnt and understood the topics of the course, that they have achieved good communication skills with appropriate scientific terminology. Assessment of the learning outcomes will be based on an oral test, consisting in questions aiming at verifying the understanding of the basic principles of the described methods and approaches for sample preanalytical processing, separation and analysis, proteomics and metabolomics workflows, data analysis and interpretation. Special attention will be given to assessing the student’s ability to critically evaluate and select different proteomics and metabolomics strategies that can be applied in various steps of drug discovery, development and monitoring.
Texts
Slides of the lectures and supplementary articles for in-depth analysis of specific aspects will be provided to students.
Suggested optional textbooks:
-Proteomica T. Alberio, M. Fasano, P. Roncada, 2021 EdiSES (Italian version)
-Wilson and Walker's Principles and Techniques of Biochemistry and Molecular Biology, Cambridge University Press, 2018
-Timothy D. Veenstra, John R. Yates III Proteomics for Biological Discovery, Second Edition, John Wiley & Sons, Inc, 2019
- A Practical Guide to Metabolomics Applications in Health and Disease. From Samples to Insights into Metabolism. Ivanisevic, Giera, Springer, 2023.
Suggested optional textbooks:
-Proteomica T. Alberio, M. Fasano, P. Roncada, 2021 EdiSES (Italian version)
-Wilson and Walker's Principles and Techniques of Biochemistry and Molecular Biology, Cambridge University Press, 2018
-Timothy D. Veenstra, John R. Yates III Proteomics for Biological Discovery, Second Edition, John Wiley & Sons, Inc, 2019
- A Practical Guide to Metabolomics Applications in Health and Disease. From Samples to Insights into Metabolism. Ivanisevic, Giera, Springer, 2023.
Contents
The course aims at providing theoretical knowledge on:
Characteristics of complex biological or biotechnological samples, pre-analytical phase, methods for sample preparation, analyte enrichment and separative techniques (especially those coupled to mass spectrometry); protein digestion.
Relevant analytical approaches in the evaluation of complex samples, especially mass spectrometry (MS). Concepts and applications of proteomics and metabolomics.
Fundamentals of protein and peptide analysis by mass spectrometry: instrumentation, ionization methods, fragmentation and sequencing; targeted and untargeted analyses; quantitative approaches; top-down and bottom-up analyses.
Quantitative and qualitative proteomic and metabolomic applications in the drug discovery, manufacturing and monitoring processes.
Fundamentals of software-based bioinformatic data analysis for protein and metabolite identification and characterization and for the evaluation of proteomic and metabolomic datasets.
Characteristics of complex biological or biotechnological samples, pre-analytical phase, methods for sample preparation, analyte enrichment and separative techniques (especially those coupled to mass spectrometry); protein digestion.
Relevant analytical approaches in the evaluation of complex samples, especially mass spectrometry (MS). Concepts and applications of proteomics and metabolomics.
Fundamentals of protein and peptide analysis by mass spectrometry: instrumentation, ionization methods, fragmentation and sequencing; targeted and untargeted analyses; quantitative approaches; top-down and bottom-up analyses.
Quantitative and qualitative proteomic and metabolomic applications in the drug discovery, manufacturing and monitoring processes.
Fundamentals of software-based bioinformatic data analysis for protein and metabolite identification and characterization and for the evaluation of proteomic and metabolomic datasets.
Course Language
English
Degrees
Degrees
INDUSTRIAL NANOBIOTECHNOLOGIES FOR PHARMACEUTICALS
Master’s Degree
2 years
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People
People
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