Pathology Portal

Bioinformatics for T-Cell immunology - Introduction to machine and deep learning analysis - Part 3

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Overview:This presentationshows the wide range of immunological and genomic assays to study variation in the immune system, focusing on the genetic control of T cell – B cell interaction and antibody production.

Learning outcome
By the end of this session you will be able to:

  • Describe how genetic variants lead to complex immune diseases and how to identify new drug targets.

Blagoje Soskic – Human Technopole

Blagoje Soskic is a Research Group Leader at Fondazione Human Technopole. Blagoje uses a wide range of genomic and immunological technologies to study variation in the human immune system and understand how disease variants affect cellular processes and cell-cell interactions. One of the major focuses of his group is understanding the crosstalk between T and B cells, which is central to protective immunity and has been implicated in a wide range of diseases. By studying variation in gene expression, chromatin activity and cellular phenotypes he aims to gain fundamental insights into the molecular and genetic control of cellular processes and immune effector functions. From 2016-2021, Blagoje Soskic was a postdoctoral fellow at Wellcome Sanger Institute, applying immunogenomic approaches to study T cell activation and their role in immune diseases. Blagoje graduated from the University College London with a PhD in Infection and Immunity.

Resource details

Contributed by: Pathology Portal
Authored by: Blagoje Soskic, Fondazione Human Technopole/ European Molecular Biology Laboratory-European Bioinformatics Institute, Research Group Leader
Licence: © All rights reserved More information on licences
First contributed: 13 December 2022
Audience access level: Full user

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