Researchers have started to study immune system utilizing data-driven prediction methods and have made significant progress utilizing big data. By utilizing Bioinformatics, new discoveries about the immune response, pathogen interactions, as well as T and B cell epitope predictions can be made. The characterization of these responses will be crucial for understanding the difference in cell activity of individuals who are chronically exposed vs. short term to antigens. Additionally, researchers are trying to better understand the relationship between genetic predispositions to autoimmune diseases and environmental perturbations on susceptibility. The elucidation of these pathways, characterization of cell types and understanding environmental influence will greatly benefit clinicians in the future, and will revolutionize drug efficacy and screening procedure.
To encourage more students and researchers to make use of the potential and power afforded by big biomedical data, the Pine Biotech team designed a series of lessons that focus on immunology, with practical, hands-on projects that allow students to practice analyses with data adapted from real datasets.
The course will cover some of the important aspects of immunology:
- Molecular components of the inflammatory cascade
- Characterization of epitope responses and drug efficacy
- Microenvironment of immune cells: cytokines, T cells, B cells, memory cells, TLR,etc
- The bacteria mechanism of entry and how it is involved in development and prevention of certain disease types
- The interplay with susceptibility genes and the environmental factors leading to adverse events
- Clinical Data and the future of disease prevention/screening