Objective
                                Pathogen proliferation has profound implications for its persistence, treatment strategies, and the induction and execution of protective immune responses. In vivo, pathogen proliferation rates are heterogenic, confronting the immune system with a variety of microbial physiological states. It is unknown if, and by what molecular mechanism, the immune response can distinguish these different states on a cellular level. Also, understanding the link between pathogen proliferation and immune cell dynamics could provide critical information on how infections can be controlled, and how to counteract pathogen persistence and antibiotic resistance. However, this question has never been addressed due to difficulties in studying the dynamics of immune cells and at the same time probing pathogen proliferation.
In this project, we will make use of a novel in vivo reporter system that I have developed, in order to determine the role of the pathogen's proliferation for its interaction with the immune system. Specifically, we will (1) determine the tissue niche in which the pathogen proliferates, (2) investigate the differential dynamics of phagocyte-pathogen- and of T cell-APC-interactions related to pathogen proliferation rate, (3) manipulate the relationship between pathogen proliferation and immune cell dynamics by using proliferation-deficient mutants and optogenetic pathogen inactivation, (4) identify signaling pathways that are differentially induced in cells infected by high versus low proliferating pathogens, and test their involvement in differential immune cell dynamics related to pathogen proliferation.
ImmProDynamics will for the first time provide insights into how cells of the immune system react to distinct pathogen proliferative states in vivo. This will greatly expand our knowledge of host-pathogen interactions, which will be critical for the design of efficient vaccines and antimicrobial therapy.
                            
                                Fields of science (EuroSciVoc)
                                                                                                            
                                            
                                            
                                                CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See:   The European Science Vocabulary.
                                                
                                            
                                        
                                                                                                
                            CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors biosensors
 - medical and health sciences basic medicine immunology
 - medical and health sciences basic medicine pharmacology and pharmacy pharmaceutical drugs vaccines
 - natural sciences biological sciences microbiology
 - medical and health sciences basic medicine pharmacology and pharmacy drug resistance antibiotic resistance
 
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                      Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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                  H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
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                  Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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ERC-STG - Starting Grant
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(opens in new window) ERC-2016-STG
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39106 Magdeburg
Germany
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