Disciplina Discipline IBI5073
Biologia de Sistemas para Ciências da Vida
Systems Biology in Life Sciences

Área de Concentração: 95131

Concentration area: 95131

Criação: 27/12/2023

Creation: 27/12/2023

Ativação: 27/12/2023

Activation: 27/12/2023

Nr. de Créditos: 4

Credits: 4

Carga Horária:

Workload:

Docente Responsável:

Professor:

Helder Takashi Imoto Nakaya

Objetivos:

This course will provide a multi-disciplinary forum to discuss the application of systems biology approaches in life sciences (e.g. molecular biology, immunology, oncology, microbiology). Students will learn about the latest technologies of the field and will be trained in performing his/her own computational data analyses

Objectives:

This course will provide a multi-disciplinary forum to discuss the application of systems biology approaches in life sciences (e.g. molecular biology, immunology, oncology, microbiology). Students will learn about the latest technologies of the field and will be trained in performing his/her own computational data analyses

Justificativa:

Systems biology is an interdisciplinary field that combines high-throughput measurements and computational and mathematical modelling of the many thousand components of a biological system. Using a holistic approach, systems biology provides a comprehensive way of dissecting the complex interactions within biological processes. It has been successfully applied to several life science fields. In immunology, systems biology can lead to a better understanding of vaccine-induced immunity and disease pathogenesis. The challenge relies in dealing with the large amount of data generated from high-throughput techniques and the inherent complexity of the biological systems. This course highlights the recent technological and methodological advances in the field and shows how systems biology can be applied to unraveling novel insights into the molecular mechanisms of biological processes. Part of the course will be practical (hands on training) and any student working in life sciences can enroll in the course. No computational or mathematical background is required. All activities, lectures and discussions involved in this course will be in English.

Rationale:

Systems biology is an interdisciplinary field that combines high-throughput measurements and computational and mathematical modelling of the many thousand components of a biological system. Using a holistic approach, systems biology provides a comprehensive way of dissecting the complex interactions within biological processes. It has been successfully applied to several life science fields. In immunology, systems biology can lead to a better understanding of vaccine-induced immunity and disease pathogenesis. The challenge relies in dealing with the large amount of data generated from high-throughput techniques and the inherent complexity of the biological systems. This course highlights the recent technological and methodological advances in the field and shows how systems biology can be applied to unraveling novel insights into the molecular mechanisms of biological processes. Part of the course will be practical (hands on training) and any student working in life sciences can enroll in the course. No computational or mathematical background is required. All activities, lectures and discussions involved in this course will be in English.

Conteúdo:

1. The complexity of biological processes; 2. Systems biology tools and databases; 3. Blood transcriptomics; 4. Systems biology of infectious diseases and Systems Immunology; 5. Systems Oncology; 6. Modeling and simulation scales; 7. Network modeling and co-expression module construction; 8. Predictive modeling; 9. Data integration; 10. Challenges and limitations;

Content:

1. The complexity of biological processes; 2. Systems biology tools and databases; 3. Blood transcriptomics; 4. Systems biology of infectious diseases and Systems Immunology; 5. Systems Oncology; 6. Modeling and simulation scales; 7. Network modeling and co-expression module construction; 8. Predictive modeling; 9. Data integration; 10. Challenges and limitations;

Forma de Avaliação:

Fifty percent of the grade is for properly completing the 5 assignments. The remaining 50% of the grade will come from a seminar presented by the student.

Type of Assessment:

Fifty percent of the grade is for properly completing the 5 assignments. The remaining 50% of the grade will come from a seminar presented by the student.

Observação:

Students must have basic knowledge of molecular biology and cellular biology. A basic knowledge of immunology is desirable.

Notes/Remarks:

Students must have basic knowledge of molecular biology and cellular biology. A basic knowledge of immunology is desirable.

Bibliografia:

Nakaya HI (2013) Applying Systems Biology to Understand the Immune Response to Infection and Vaccination. Chapter of book “Computational Systems Biology, 2nd Ed”, Editors: Elis & Kriete, Publisher: Elsevier Pulendran B, Li S and Nakaya HI (2010) Systems Vaccinology. Immunity, Oct 29;33(4):516-29 Kitano H (2002) Systems biology: a brief overview. Science. 2002 Mar 1;295(5560):1662-4 Marian Walhout, Marc Vidal, Job Dekker (2012) Handbook of Systems Biology: Concepts and Insights. Academic Press. ISBN-10: 0123859441. ISBN-13: 978-0123859440

Bibliography:

Nakaya HI (2013) Applying Systems Biology to Understand the Immune Response to Infection and Vaccination. Chapter of book “Computational Systems Biology, 2nd Ed”, Editors: Elis & Kriete, Publisher: Elsevier Pulendran B, Li S and Nakaya HI (2010) Systems Vaccinology. Immunity, Oct 29;33(4):516-29 Kitano H (2002) Systems biology: a brief overview. Science. 2002 Mar 1;295(5560):1662-4 Marian Walhout, Marc Vidal, Job Dekker (2012) Handbook of Systems Biology: Concepts and Insights. Academic Press. ISBN-10: 0123859441. ISBN-13: 978-0123859440

Tipo de oferecimento da disciplina:

Presencial

Class type:

Presencial