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ONC0260B Proteomics
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Proteomics
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Academic year 2024/2025
- Course ID
- ONC0260B
- Teacher
- Serena Marchiò (Lecturer)
- Year
- 2nd year
- Teaching period
- TBD
- Type
- Basic
- Credits/Recognition
- 1 (12 hours of lectures)
- Course disciplinary sector (SSD)
- BIOS-07/A - Biochemistry
- Delivery
- Formal authority
- Language
- English
- Attendance
- Optional
- Type of examination
- Written and oral
- Type of learning unit
- modulo
- Modular course
- Multi-omics and Data Science for Precision Medicine (ONC0260)
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Sommario del corso
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Course objectives
This module forms an essential component of the Multi-omics and Data Science for Precision Medicine course. The primary objective of the module is to provide students with a digital perspective on high-throughput technologies in proteomic studies.
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Results of learning outcomes
By the end of this module, students will be able to expertly utilize the technical vocabulary most commonly associated with protein chemistry in the context of human health and disease. They will be familiar with state-of-the-art technologies employed for studying protein expression, interaction, and structure at the cell, tissue, and organism levels. Additionally, students will be able to retrieve and manage protein-related information from dedicated datasets for high-throughput analyses. Finally, students will confidently present their knowledge both verbally and in concise written statements.
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Program
- Introduction to proteomics
- Mass spectrometry-based proteomics
- Single-cell proteomics
- Spatial proteomics
- High-throughput proteomics
- Applications of proteomics in biomedical research
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Course delivery
This module will consist of 6 classes, each lasting 2 hours. The lectures may be recorded based on students' needs. Course materials, including papers, slides, and (where available) recordings, will be made available on the Moodle platform. These resources will be sufficient for students who are unable to attend in person to adequately prepare for the exam.
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Learning assessment methods
For the learning assessment, students are required to create a 5-10 slide PowerPoint presentation summarizing the key findings of a recent research paper in proteomics or multiomics. AI tools, such as GPT, may be used to assist in generating or refining the slides. The presentation will be discussed during the exam.
Suggested readings and bibliography
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