ID:
509968
Durata (ore):
28
CFU:
3
SSD:
PATOLOGIA GENERALE
Anno:
2024
Dati Generali
Periodo di attività
Primo Semestre (30/09/2024 - 17/01/2025)
Syllabus
Obiettivi Formativi
The aim of the Immunotherapy course is to introduce students to the power of stimulating the immune system and its responses with examples from recent literature on the power of molecular medicine and how humanity can make use of it for biotechnological applications. At the end of the course students, should have received the stimuli to use their intellect and be inspired by the creativity and proficiency of modern scientists and science.
Pertaining to Biocomputing Laboratory module, this is a window of opportunity for the students to acquire hands-on knowledge on how to use free servers and software to understand and study proteins, tools that they may wish to use and refine throughout their scientific career.
The aim of the cancer immunotherapy module is to introduce students to the main available strategies and future perspectives. The module will allow the student to have a clinical overview of strategies approved or in trial. Furthermore, mechanisms of action and resistance will be discussed. At the end of the course students will be able to have a framework about the state of the art of immunotherapy from a clinical and preclinical point of view and critically discuss published data.
Pertaining to Biocomputing Laboratory module, this is a window of opportunity for the students to acquire hands-on knowledge on how to use free servers and software to understand and study proteins, tools that they may wish to use and refine throughout their scientific career.
The aim of the cancer immunotherapy module is to introduce students to the main available strategies and future perspectives. The module will allow the student to have a clinical overview of strategies approved or in trial. Furthermore, mechanisms of action and resistance will be discussed. At the end of the course students will be able to have a framework about the state of the art of immunotherapy from a clinical and preclinical point of view and critically discuss published data.
Prerequisiti
Appraisal of the topics covered in the Immunotherapy course requires a basic knowledge in immunology and a general acquaintance on how the immune system is organized, works and can be stimulated; this is expected. The intellectual drive necessary to be exposed to and appreciate biotechnological applications in the realm of immunotherapy is expected from the students of this Master.
No specific knowledge is required for the Biocomputing Laboratory module, however basic computer handling skills are essential. Previous experience in bioinformatics and protein analysis is an obvious advantage that is expected to be put at service of the rest of the class.
Understanding the topics covered in the Cancer Immunotherapy module requires a knowledge of the animal eukaryotic cell biology, the main biochemical processes and macromolecules involved, the main human anatomical districts and physiological functions.
No specific knowledge is required for the Biocomputing Laboratory module, however basic computer handling skills are essential. Previous experience in bioinformatics and protein analysis is an obvious advantage that is expected to be put at service of the rest of the class.
Understanding the topics covered in the Cancer Immunotherapy module requires a knowledge of the animal eukaryotic cell biology, the main biochemical processes and macromolecules involved, the main human anatomical districts and physiological functions.
Metodi didattici
Lectures, self-assessment test, multimedia tools, discussion of recent publications related to lecture topics, hands-on in silico laboratory, refinement of presentation skills.
Verifica Apprendimento
Written exam lasting 40 minutes, consisting of 4 open-ended questions covering all topics discussed during lectures. Evaluation scale: 0-31 (30 with honors). The exam is considered passed with a score of at least 18 out of 30. The student may choose to take the exam for just the “Immunotherapy” module or combine it with the “Gene Therapy” and/or “Viruses and Vaccines” modules. The result of the Immunotherapy exam will be published on Esse3, where students can accept or refuse the grade. For registration, students must enroll directly through their personal area. The final grade for the “NON PHARMACEUTICAL THERAPIES I” course will be recorded in the student’s curriculum and will represent the weighted arithmetic mean of the grades obtained for Gene Therapy (3 CFU), Immunotherapy (3 CFU), and Viruses and Vaccines (3 CFU) modules.
The laboratory component of Immunotherapy is pass/fail and students will be notified at the end of the component.
The laboratory component of Immunotherapy is pass/fail and students will be notified at the end of the component.
Testi
Lauren Pecorino. Molecular Biology of Cancer. Mechanisms, Targets, and Therapeutics. 5th edition-2021. Oxford University Press.
Francesco Pezzella, Mahvash Tavassoli, David J. Kerr. Oxford Textbook of Cancer Biology. 1st edition-2019-Oxford University Press.
Vincent T. DeVita Jr., Theodore S. Lawrence, Sreven A. Rosenberg. DeVita, Hellman, and Rosenberg’s Cancer Principles & Practice of Oncology, Primer of the Molecular Biology of Cancer. 3rd edition-2021-Wolters Kluwer.
The slides of the lectures and the suggested research articles will be available in Kiro site.
Francesco Pezzella, Mahvash Tavassoli, David J. Kerr. Oxford Textbook of Cancer Biology. 1st edition-2019-Oxford University Press.
Vincent T. DeVita Jr., Theodore S. Lawrence, Sreven A. Rosenberg. DeVita, Hellman, and Rosenberg’s Cancer Principles & Practice of Oncology, Primer of the Molecular Biology of Cancer. 3rd edition-2021-Wolters Kluwer.
The slides of the lectures and the suggested research articles will be available in Kiro site.
Contenuti
Introduction to Immunotherapy
During the first session, students will be given an overview on the course with a description and discussion on the different components plus a general introduction on concepts that are related to the realm of Immunotherapy. The Biocomputing Laboratory module will also be introduced and discussed.
CAR-T and other CARs
The powerful Chimeric Antigen Receptor tool in cancer and beyond will be analyzed in class with special emphasis on the protein design and engineering behind the system, with open discussion with the students. Students will be asked to actively search for CAR examples they found particularly interesting and bring them to the attention of the class.
Immunotherapy and Allergy
Allergy is being tackled by different immunotherapy approaches, some of which represent the history of our understanding of allergic manifestations.
Biocomputing Laboratory
The Biocomputing Laboratory is an activity in which students are exposed to hands-on Computer Lab sessions covering topics related to in silico biomedical matters such as: phylogenetic trees, amino acid sequence analysis, protein structure analysis and prediction, rational protein modification and design, protein-protein interaction and drug-protein interaction.
Biocomputing sessions are conducted in a mixed mode: lecturer instruction (how to perform operations); students hands-on; knowledge dissemination by the lecturer (handling and interpretation of data, problem understanding and solving and interactive Q & A sessions); performance of remote (web-based databases and software servers) and local (downloaded and installed free computer programs) tasks.
Biocomputing is an interdisciplinary field focusing on study, design, and implementation of information systems that allow students to perform in silico biomedical research. Students will acquire essential skills through hands-on coursework, instrumental for the development of the basic knowledge necessary to interrogate in silico systems.
The module is divided into five sessions (repeated twice after dividing the class into two halves) of which the first four take the students progressively deeper into protein design with examples from the Faculty research and immunotherapy-related matters. The last session consists in the presentation of essays by the students divided into groups. In the presentations students will have to tackle a biocomputing aspect of their choice yet related to immunotherapy and demonstrate that they picked up all the bioinformatic tools learned and experienced during the Biocomputing Laboratory module.
IMMUNOTHERAPY AND CANCER
1) Cancer Immunity: the concept of immune surveillance; immunoediting; immunoscore; cancer and inflammation
2) Removal of immune suppressive factors: immune check-point inhibitors, soluble factors, myeloid targets
3) Stimulation of effector cells: T-cell agonists, cytokines, T-cell trafficking
4) Identification of cancer antigens and cancer vaccines
Discussion Sessions
Two discussion sessions will be held, one with Dr. Vangelista and one with Dr. Palladini, in which key papers will be analyzed and discussed.
During the first session, students will be given an overview on the course with a description and discussion on the different components plus a general introduction on concepts that are related to the realm of Immunotherapy. The Biocomputing Laboratory module will also be introduced and discussed.
CAR-T and other CARs
The powerful Chimeric Antigen Receptor tool in cancer and beyond will be analyzed in class with special emphasis on the protein design and engineering behind the system, with open discussion with the students. Students will be asked to actively search for CAR examples they found particularly interesting and bring them to the attention of the class.
Immunotherapy and Allergy
Allergy is being tackled by different immunotherapy approaches, some of which represent the history of our understanding of allergic manifestations.
Biocomputing Laboratory
The Biocomputing Laboratory is an activity in which students are exposed to hands-on Computer Lab sessions covering topics related to in silico biomedical matters such as: phylogenetic trees, amino acid sequence analysis, protein structure analysis and prediction, rational protein modification and design, protein-protein interaction and drug-protein interaction.
Biocomputing sessions are conducted in a mixed mode: lecturer instruction (how to perform operations); students hands-on; knowledge dissemination by the lecturer (handling and interpretation of data, problem understanding and solving and interactive Q & A sessions); performance of remote (web-based databases and software servers) and local (downloaded and installed free computer programs) tasks.
Biocomputing is an interdisciplinary field focusing on study, design, and implementation of information systems that allow students to perform in silico biomedical research. Students will acquire essential skills through hands-on coursework, instrumental for the development of the basic knowledge necessary to interrogate in silico systems.
The module is divided into five sessions (repeated twice after dividing the class into two halves) of which the first four take the students progressively deeper into protein design with examples from the Faculty research and immunotherapy-related matters. The last session consists in the presentation of essays by the students divided into groups. In the presentations students will have to tackle a biocomputing aspect of their choice yet related to immunotherapy and demonstrate that they picked up all the bioinformatic tools learned and experienced during the Biocomputing Laboratory module.
IMMUNOTHERAPY AND CANCER
1) Cancer Immunity: the concept of immune surveillance; immunoediting; immunoscore; cancer and inflammation
2) Removal of immune suppressive factors: immune check-point inhibitors, soluble factors, myeloid targets
3) Stimulation of effector cells: T-cell agonists, cytokines, T-cell trafficking
4) Identification of cancer antigens and cancer vaccines
Discussion Sessions
Two discussion sessions will be held, one with Dr. Vangelista and one with Dr. Palladini, in which key papers will be analyzed and discussed.
Lingua Insegnamento
INGLESE
Altre informazioni
Students can contact Faculty by e-mail to ask for clarification on the content of the lectures and on the study material or to request an appointment.
Faculty will provide the learning test correction and will be always available for any clarification.
luca.vangelista@unipv.it
arianna.palladini@unipv.it
Faculty will provide the learning test correction and will be always available for any clarification.
luca.vangelista@unipv.it
arianna.palladini@unipv.it
Corsi
Corsi
MEDICAL AND PHARMACEUTICAL BIOTECHNOLOGIES
Laurea Magistrale
2 anni
No Results Found
Persone
Persone (2)
No Results Found