T-cell Receptors

This workshop is under development!

Schedule

• 08.00 - 08.45: Lecture: Introduction to T-cell Receptors and Repertoires
• 08.45 - 09.00: Break
• 09.00 - 10.00: Exercise: Session I
• 10.00 - 10.15: Break
• 10.15 - 11.00: Lecture: Predictive Modelling of T-cell Receptor Interaction
• 11.00 - 12.00: Exercise: Session II

Background

The workshop prerequisites are as follows

• Basic knowledge of immunology
• Good understanding of T-cell mediated immunity

The following materials are recommended workshop preparation

• Video: Review of B cells, CD4+ T cells and CD8+ T cells
• Video: Helper T cells
• Video: Cytotoxic T cells
• Video: Immunology: T cell receptor structure and function
• Paper: Machine learning identifies T cell receptor repertoire signatures associated with COVID-19 severity
• Paper: Can we predict T cell specificity with digital biology and machine learning?

Note, the papers need not be read in complete detail, focus on conceptual understanding

Learning Objectives

A participant who has met the workshop objectives will be able to

1. Recall key T-cell receptor nomenclature and terminology
2. Explain the role of the T-cell receptor in T-cell-mediated immunity, describe key metrics for repertoire quantification, and summarize basic principles of interaction prediction methods
3. Apply pre-implemented computational tools for repertoire quantification and specificity prediction
4. Analyze T-cell receptor data to extract insights such as e.g. diversity and antigen specificity
5. Critically evaluate the results and validity of an analysis involving T-cell receptor data
6. Design and implement a basic computational T-cell immunology project aimed at identifying and comparing key features such as diversity, antigen specificity, or clonality

Exercise Session I

Here we will work with…

Exercise Session II

Here we will work with…