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Translational Biomedicine
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Translational Biomedicine
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Academic year 2023/2024
- Course ID
- SVB0192
- Teacher
- Marco Lo Iacono
- Degree course
- Cellular and Molecular Biology
- Year
- 2nd year
- Teaching period
- Semester 1
- Type
- Elective
- Credits/Recognition
- 4
- Course disciplinary sector (SSD)
- MED/46 - medical and biotechnology laboratory techniques
- Delivery
- Formal authority
- Language
- English
- Attendance
- Lessons optional and laboratories mandatory
- Type of examination
- Test
- Prerequisites
- - Regulation of gene expression and signal transduction;
- DNA/RNA identification/measurement technologies;
- Basic Statistics; - Oggetto:
Sommario del corso
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Course objectives
This teaching contributes to the learning objectives included into the Biomedical area of the Master in Cellular and Molecular Biology - Biologia Cellulare e Molecolare, knowledge and applicative abilities in Translational medicine;
Translational medicine is a highly interdisciplinary branch of the biomedical field that combine disciplines, resources, expertise and techniques to promote enhancements in diseases prevention, diagnosis and therapies thus contributing to the development of precision medicine. This teaching contributes to introduce the translational aspects of the modern molecular biology that will be even more needed for biologists of the future. Through a series of activities, students will develop skills in data analysis and they will learn to approach scientific questions also by a translational way.
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Results of learning outcomes
At the end of the teaching students will be able to establish connections between molecular signature and its applications. The following specific competencies will be acquired to:
Knowledge and understanding skills
- understand the relevance of the statistical approach to biological data;
- knowledge of some biomarkers and methods to identify them;Making judgements and Applying knowledge and understanding
- identify the correct statistical approach for each specific subset of data;
- identify interconnection between basic research results and population studies and vice versa;
- evaluate and provide interpretation of transcriptional data;
- design experimental study with a transcriptional approach;Communication
- work as part of a team;
- critically read and discuss the scientific literature;- Oggetto:
Program
- Biological data: measure, quality; Measurements: reproducibility, accuracy and precision;
- Basic statistic hints; Statistical tests and example of their applications to molecular data (Choosing a statistical test based on data), p value: its significance and why it is not all;
- Clinical study types, survival analysis and Odds Ratio, confounding factors in population analysis;
- Error types, Sensitivity, Specificity and ROC curves;
- High-throughput technology data applied to populations (quantitative and digital PCR, microarray, NGS, Nanostrings, etc…);
- Clinical biomarkers: patients’ stratification, diagnostic, prognostic, and predictive factors;
- Bed- to bench-side and vice versa (biomolecular targets and their potential druggability);
- Examples of druggable pathways and future developments;
- Experimental design planning;
- Ethical aspects and risks in handling confidential data;
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Course delivery
The organization of the course is the following: approximately 50% of each lesson will be dedicated to identifying teaching's key concepts with different media technology and the other 50% will be dedicated to workshops and/or group activities.
All lectures will be delivered in presence, subject to updates on the measures adopted by UniTo which can be found on the University portal under "Provisions for those who study and work at UniTo" (see https://en.unito.it/studying-unito). In addition, asynchronous video lessons will also be available on the Moodle platform. For each lesson, a Forum will be opened to increase the interaction between the classes. Students will be invited to post questions and/or doubts on the topics of the lesson, the discussion will be moderated by the teacher. Some of these questions will be discussed in workshops and/or group activities.
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Learning assessment methods
Final exam - Exams will take place in presence, subject to updates on the measures adopted by UniTo which can be found on the University portal under "Provisions for those who study and work at UniTo" (see https://en.unito.it/studying-unito).
The exam will be in written form and consists of Moodle-based tests of 25-31 questions (multiple choice, true/false, filling in checklists…) focused on all topics and exercises developed in class. Grading is out of 33, with "cum laude" counted as 30-33.
Academic conduct: The penalty for course-related dishonesty (ei. cheating on exams, plagiarism, etc) will be a failure for the entire course.
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Support activities
Video lectures indicated during the teaching period.
Suggested readings and bibliography
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There is no specific textbook for this course. As a support for the study, scientific papers, websites containing supporting videos, images and other materials will be posted on the Moodle platform.
- Enroll
- Open
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