- Oggetto:
- Oggetto:
Translational Biomedicine
- Oggetto:
Translational Biomedicine
- Oggetto:
Academic year 2020/2021
- Course ID
- SVB0192
- Teacher
- Dr. Marco Lo Iacono
- Degree course
- Cellular and Molecular Biology
- Year
- 2nd year
- Teaching period
- To be defined
- Type
- Elective
- Credits/Recognition
- 4
- Course disciplinary sector (SSD)
- MED/46 - scienze tecniche di medicina e di laboratorio
- 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
- Oggetto:
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.
- Oggetto:
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:
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 laboratories and/or group activities.
Due to the COVID 19 pandemic, teaching in the academic year 2020-21 has been reorganized. Lessons are available in Moodle platform, while some exercitations or discussions will be performed live in Webex virtual meeting. Three types of activities Moodle are presents online:
Pre-lesson quiz (anonymous) just to evaluate knowledge of classroom before the lesson.
Lesson that includes the video, supporting material and some questions about video topics.
In addition, in each lesson will be open a Forum to increase the interaction between class. Student can post questions and/or doubts about the lesson topics, discussion will be moderated by teacher. Some of these questions will be discussed in live Webex meeting.
- Oggetto:
Learning assessment methods
Final exam - This exam will be a Moodle-based test of 25-30 questions (multiple choice, true/false, filling in checklists…) focused on all teaching subjects and exercises developed in class. Grading is out of 33, with "cum laude" counted as 30-33.
- Oggetto:
Support activities
Video lectures indicated during the teaching period
- 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;
Suggested readings and bibliography
- Oggetto:
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.
- Oggetto:
