Project acronym 3D_Tryps
Project The role of three-dimensional genome architecture in antigenic variation
Researcher (PI) Tim Nicolai SIEGEL
Host Institution (HI) LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Call Details Starting Grant (StG), LS6, ERC-2016-STG
Summary Antigenic variation is a widely employed strategy to evade the host immune response. It has similar functional requirements even in evolutionarily divergent pathogens. These include the mutually exclusive expression of antigens and the periodic, nonrandom switching in the expression of different antigens during the course of an infection. Despite decades of research the mechanisms of antigenic variation are not fully understood in any organism.
The recent development of high-throughput sequencing-based assays to probe the 3D genome architecture (Hi-C) has revealed the importance of the spatial organization of DNA inside the nucleus. 3D genome architecture plays a critical role in the regulation of mutually exclusive gene expression and the frequency of translocation between different genomic loci in many eukaryotes. Thus, genome architecture may also be a key regulator of antigenic variation, yet the causal links between genome architecture and the expression of antigens have not been studied systematically. In addition, the development of CRISPR-Cas9-based approaches to perform nucleotide-specific genome editing has opened unprecedented opportunities to study the influence of DNA sequence elements on the spatial organization of DNA and how this impacts antigen expression.
I have adapted both Hi-C and CRISPR-Cas9 technology to the protozoan parasite Trypanosoma brucei, one of the most important model organisms to study antigenic variation. These techniques will enable me to bridge the field of antigenic variation research with that of genome architecture. I will perform the first systematic analysis of the role of genome architecture in the mutually exclusive and hierarchical expression of antigens in any pathogen.
The experiments outlined in this proposal will provide new insight, facilitating a new view of antigenic variation and may eventually help medical intervention in T. brucei and in other pathogens relying on antigenic variation for their survival.
Summary
Antigenic variation is a widely employed strategy to evade the host immune response. It has similar functional requirements even in evolutionarily divergent pathogens. These include the mutually exclusive expression of antigens and the periodic, nonrandom switching in the expression of different antigens during the course of an infection. Despite decades of research the mechanisms of antigenic variation are not fully understood in any organism.
The recent development of high-throughput sequencing-based assays to probe the 3D genome architecture (Hi-C) has revealed the importance of the spatial organization of DNA inside the nucleus. 3D genome architecture plays a critical role in the regulation of mutually exclusive gene expression and the frequency of translocation between different genomic loci in many eukaryotes. Thus, genome architecture may also be a key regulator of antigenic variation, yet the causal links between genome architecture and the expression of antigens have not been studied systematically. In addition, the development of CRISPR-Cas9-based approaches to perform nucleotide-specific genome editing has opened unprecedented opportunities to study the influence of DNA sequence elements on the spatial organization of DNA and how this impacts antigen expression.
I have adapted both Hi-C and CRISPR-Cas9 technology to the protozoan parasite Trypanosoma brucei, one of the most important model organisms to study antigenic variation. These techniques will enable me to bridge the field of antigenic variation research with that of genome architecture. I will perform the first systematic analysis of the role of genome architecture in the mutually exclusive and hierarchical expression of antigens in any pathogen.
The experiments outlined in this proposal will provide new insight, facilitating a new view of antigenic variation and may eventually help medical intervention in T. brucei and in other pathogens relying on antigenic variation for their survival.
Max ERC Funding
1 498 175 €
Duration
Start date: 2017-04-01, End date: 2022-03-31
Project acronym AIM2 INFLAMMASOME
Project Cytosolic recognition of foreign nucleic acids: Molecular and functional characterization of AIM2, a central player in DNA-triggered inflammasome activation
Researcher (PI) Veit Hornung
Host Institution (HI) UNIVERSITAETSKLINIKUM BONN
Call Details Starting Grant (StG), LS6, ERC-2009-StG
Summary Host cytokines, chemokines and type I IFNs are critical effectors of the innate immune response to viral and bacterial pathogens. Several classes of germ-line encoded pattern recognition receptors have been identified, which sense non-self nucleic acids and trigger these responses. Recently NLRP-3, a member of the NOD-like receptor (NLR) family, has been shown to sense endogenous danger signals, environmental insults and the DNA viruses adenovirus and HSV. Activation of NLRP-3 induces the formation of a large multiprotein complex in cells termed inflammasome , which controls the activity of pro-caspase-1 and the maturation of pro-IL-1² and pro-IL18 into their active forms. NLRP-3, however, does not regulate these responses to double stranded cytosolic DNA. We identified the cytosolic protein AIM2 as the missing receptor for cytosolic DNA. AIM2 contains a HIN200 domain, which binds to DNA and a pyrin domain, which associates with the adapter molecule ASC to activate both NF-ºB and caspase-1. Knock down of AIM2 down-regulates caspase-1-mediated IL-1² responses following DNA stimulation or vaccinia virus infection. Collectively, these observations demonstrate that AIM2 forms an inflammasome with the DNA ligand and ASC to activate caspase-1. Our underlying hypothesis for this proposal is that AIM2 plays a central role in host-defence to cytosolic microbial pathogens and also in DNA-triggered autoimmunity. The goals of this research proposal are to further characterize the DNA ligand for AIM2, to explore the molecular mechanisms of AIM2 activation, to define the contribution of AIM2 to host-defence against viral and bacterial pathogens and to assess its function in nucleic acid triggered autoimmune disease. The characterization of AIM2 and its role in innate immunity could open new avenues in the advancement of immunotherapy and treatment of autoimmune disease.
Summary
Host cytokines, chemokines and type I IFNs are critical effectors of the innate immune response to viral and bacterial pathogens. Several classes of germ-line encoded pattern recognition receptors have been identified, which sense non-self nucleic acids and trigger these responses. Recently NLRP-3, a member of the NOD-like receptor (NLR) family, has been shown to sense endogenous danger signals, environmental insults and the DNA viruses adenovirus and HSV. Activation of NLRP-3 induces the formation of a large multiprotein complex in cells termed inflammasome , which controls the activity of pro-caspase-1 and the maturation of pro-IL-1² and pro-IL18 into their active forms. NLRP-3, however, does not regulate these responses to double stranded cytosolic DNA. We identified the cytosolic protein AIM2 as the missing receptor for cytosolic DNA. AIM2 contains a HIN200 domain, which binds to DNA and a pyrin domain, which associates with the adapter molecule ASC to activate both NF-ºB and caspase-1. Knock down of AIM2 down-regulates caspase-1-mediated IL-1² responses following DNA stimulation or vaccinia virus infection. Collectively, these observations demonstrate that AIM2 forms an inflammasome with the DNA ligand and ASC to activate caspase-1. Our underlying hypothesis for this proposal is that AIM2 plays a central role in host-defence to cytosolic microbial pathogens and also in DNA-triggered autoimmunity. The goals of this research proposal are to further characterize the DNA ligand for AIM2, to explore the molecular mechanisms of AIM2 activation, to define the contribution of AIM2 to host-defence against viral and bacterial pathogens and to assess its function in nucleic acid triggered autoimmune disease. The characterization of AIM2 and its role in innate immunity could open new avenues in the advancement of immunotherapy and treatment of autoimmune disease.
Max ERC Funding
1 727 920 €
Duration
Start date: 2009-12-01, End date: 2014-11-30
Project acronym ALLERGUT
Project Mucosal Tolerance and Allergic Predisposition: Does it all start in the gut?
Researcher (PI) Caspar OHNMACHT
Host Institution (HI) HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH
Call Details Starting Grant (StG), LS6, ERC-2016-STG
Summary Currently, more than 30% of all Europeans suffer from one or more allergic disorder but treatment is still mostly symptomatic due to a lack of understanding the underlying causality. Allergies are caused by type 2 immune responses triggered by recognition of harmless antigens. Both genetic and environmental factors have been proposed to favour allergic predisposition and both factors have a huge impact on the symbiotic microbiota and the intestinal immune system. Recently we and others showed that the transcription factor ROR(γt) seems to play a key role in mucosal tolerance in the gut and also regulates intestinal type 2 immune responses.
Based on these results I postulate two major events in the gut for the development of an allergy in the lifetime of an individual: First, a failure to establish mucosal tolerance or anergy constitutes a necessity for the outbreak of allergic symptoms and allergic disease. Second, a certain ‘core’ microbiome or pathway of the intestinal microbiota predispose certain individuals for the later development of allergic disorders. Therefore, I will address the following aims:
1) Influence of ROR(γt) on mucosal tolerance induction and allergic disorders
2) Elucidate the T cell receptor repertoire of intestinal Th2 and ROR(γt)+ Tregs and assess the role of alternative NFκB pathway for induction of mucosal tolerance
3) Identification of ‘core’ microbiome signatures or metabolic pathways that favour allergic predisposition
ALLERGUT will provide ground-breaking knowledge on molecular mechanisms of the failure of mucosal tolerance in the gut and will prove if the resident ROR(γt)+ T(reg) cells can function as a mechanistic starting point for molecular intervention strategies on the background of the hygiene hypothesis. The vision of ALLERGUT is to diagnose mucosal disbalance, prevent and treat allergic disorders even before outbreak and thereby promote Public Health initiative for better living.
Summary
Currently, more than 30% of all Europeans suffer from one or more allergic disorder but treatment is still mostly symptomatic due to a lack of understanding the underlying causality. Allergies are caused by type 2 immune responses triggered by recognition of harmless antigens. Both genetic and environmental factors have been proposed to favour allergic predisposition and both factors have a huge impact on the symbiotic microbiota and the intestinal immune system. Recently we and others showed that the transcription factor ROR(γt) seems to play a key role in mucosal tolerance in the gut and also regulates intestinal type 2 immune responses.
Based on these results I postulate two major events in the gut for the development of an allergy in the lifetime of an individual: First, a failure to establish mucosal tolerance or anergy constitutes a necessity for the outbreak of allergic symptoms and allergic disease. Second, a certain ‘core’ microbiome or pathway of the intestinal microbiota predispose certain individuals for the later development of allergic disorders. Therefore, I will address the following aims:
1) Influence of ROR(γt) on mucosal tolerance induction and allergic disorders
2) Elucidate the T cell receptor repertoire of intestinal Th2 and ROR(γt)+ Tregs and assess the role of alternative NFκB pathway for induction of mucosal tolerance
3) Identification of ‘core’ microbiome signatures or metabolic pathways that favour allergic predisposition
ALLERGUT will provide ground-breaking knowledge on molecular mechanisms of the failure of mucosal tolerance in the gut and will prove if the resident ROR(γt)+ T(reg) cells can function as a mechanistic starting point for molecular intervention strategies on the background of the hygiene hypothesis. The vision of ALLERGUT is to diagnose mucosal disbalance, prevent and treat allergic disorders even before outbreak and thereby promote Public Health initiative for better living.
Max ERC Funding
1 498 175 €
Duration
Start date: 2017-07-01, End date: 2022-06-30
Project acronym ARCHAELLUM
Project Assembly and function of the crenarchaeal flagellum
Researcher (PI) Sonja-Verena Albers
Host Institution (HI) ALBERT-LUDWIGS-UNIVERSITAET FREIBURG
Call Details Starting Grant (StG), LS6, ERC-2012-StG_20111109
Summary "Archaea constitute the third domain of life and are believed to be close to the origin of life. They comprise a diverse group of micro-organisms that combine bacterial and eukaryotic features, but also employ many novel mechanisms. They possess a unique cell envelope with a cytoplasmic membrane of ether lipids surrounded by a proteinaceous S-layer and various cell appendages such as flagella, pili and more unusual structures. Studies have shown that the archaeal flagellum is an unique structure as it functionally resembles the bacterial flagellum, but structurally it is a simple type IV pilus. Moreover, we have shown that this type IV pilus can rotate. Therefore I propose to name the archaeal flagellum, the archaellum, as it is fundamentally different from the bacterial flagellum.
In this proposal I aim to understand the assembly and mechanism of rotation of the archaellum of the thermocacidophilic crenarchaen Sulfolobus acidocaldarius by using biochemical, genetic and biophysical methods. The main milestons are:
- Biochemical and structural characterization of all archaellum subunits
- To understand the assembly pathway of the archaellum and the interactions of its different
subunits
- To understand how rotation of the filament is achieved and which subunits are important
for this movement
This work will identify a new, relatively simple motor complex that has evolved from primordial type IV pili assembly machineries and therefore uncover general principles of macromolecular assemblies at cellular surfaces and a novel mechanism to generate mechanical force that can be translated into movement."
Summary
"Archaea constitute the third domain of life and are believed to be close to the origin of life. They comprise a diverse group of micro-organisms that combine bacterial and eukaryotic features, but also employ many novel mechanisms. They possess a unique cell envelope with a cytoplasmic membrane of ether lipids surrounded by a proteinaceous S-layer and various cell appendages such as flagella, pili and more unusual structures. Studies have shown that the archaeal flagellum is an unique structure as it functionally resembles the bacterial flagellum, but structurally it is a simple type IV pilus. Moreover, we have shown that this type IV pilus can rotate. Therefore I propose to name the archaeal flagellum, the archaellum, as it is fundamentally different from the bacterial flagellum.
In this proposal I aim to understand the assembly and mechanism of rotation of the archaellum of the thermocacidophilic crenarchaen Sulfolobus acidocaldarius by using biochemical, genetic and biophysical methods. The main milestons are:
- Biochemical and structural characterization of all archaellum subunits
- To understand the assembly pathway of the archaellum and the interactions of its different
subunits
- To understand how rotation of the filament is achieved and which subunits are important
for this movement
This work will identify a new, relatively simple motor complex that has evolved from primordial type IV pili assembly machineries and therefore uncover general principles of macromolecular assemblies at cellular surfaces and a novel mechanism to generate mechanical force that can be translated into movement."
Max ERC Funding
1 464 317 €
Duration
Start date: 2013-02-01, End date: 2018-01-31
Project acronym AutoCPS
Project Automated Synthesis of Cyber-Physical Systems: A Compositional Approach
Researcher (PI) Majid ZAMANI
Host Institution (HI) LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Call Details Starting Grant (StG), PE7, ERC-2018-STG
Summary Embedded Control software plays a critical role in many safety-critical applications. For instance, modern vehicles use interacting software and hardware components to control steering and braking. Control software forms the main core of autonomous transportation, power networks, and aerospace. These applications are examples of cyber-physical systems (CPS), where distributed software systems interact tightly with spatially distributed physical systems with complex dynamics. CPS are becoming ubiquitous due to rapid advances in computation, communication, and memory. However, the development of core control software running in these systems is still ad hoc and error-prone and much of the engineering costs today go into ensuring that control software works correctly.
In order to reduce the design costs and guaranteeing its correctness, I aim to develop an innovative design process, in which the embedded control software is synthesized from high-level correctness requirements in a push-button and formal manner. Requirements for modern CPS applications go beyond conventional properties in control theory (e.g. stability) and in computer science (e.g. protocol design). Here, I propose a compositional methodology for automated synthesis of control software by combining compositional techniques from computer science (e.g. assume-guarantee rules) with those from control theory (e.g. small-gain theorems). I will leverage decomposition and abstraction as two key tools to tackle the design complexity, by either breaking the design object into semi-independent parts or by aggregating components and eliminating unnecessary details. My project is high-risk because it requires a fundamental re-thinking of design techniques till now studied in separate disciplines. It is high-gain because a successful method for automated synthesis of control software will make it finally possible to develop complex yet reliable CPS applications while considerably reducing the engineering cost.
Summary
Embedded Control software plays a critical role in many safety-critical applications. For instance, modern vehicles use interacting software and hardware components to control steering and braking. Control software forms the main core of autonomous transportation, power networks, and aerospace. These applications are examples of cyber-physical systems (CPS), where distributed software systems interact tightly with spatially distributed physical systems with complex dynamics. CPS are becoming ubiquitous due to rapid advances in computation, communication, and memory. However, the development of core control software running in these systems is still ad hoc and error-prone and much of the engineering costs today go into ensuring that control software works correctly.
In order to reduce the design costs and guaranteeing its correctness, I aim to develop an innovative design process, in which the embedded control software is synthesized from high-level correctness requirements in a push-button and formal manner. Requirements for modern CPS applications go beyond conventional properties in control theory (e.g. stability) and in computer science (e.g. protocol design). Here, I propose a compositional methodology for automated synthesis of control software by combining compositional techniques from computer science (e.g. assume-guarantee rules) with those from control theory (e.g. small-gain theorems). I will leverage decomposition and abstraction as two key tools to tackle the design complexity, by either breaking the design object into semi-independent parts or by aggregating components and eliminating unnecessary details. My project is high-risk because it requires a fundamental re-thinking of design techniques till now studied in separate disciplines. It is high-gain because a successful method for automated synthesis of control software will make it finally possible to develop complex yet reliable CPS applications while considerably reducing the engineering cost.
Max ERC Funding
1 470 800 €
Duration
Start date: 2019-02-01, End date: 2024-01-31
Project acronym Baby DCs
Project Age-dependent Regulation of Dendritic Cell Development and Function
Researcher (PI) Barbara Ursula SCHRAML
Host Institution (HI) LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Call Details Starting Grant (StG), LS6, ERC-2016-STG
Summary Early life immune balance is essential for survival and establishment of healthy immunity in later life. We aim to define how age-dependent regulation of dendritic cell (DC) development contributes to this crucial immune balance. DCs are versatile controllers of immunity that in neonates are qualitatively distinct from adults. Why such age-dependent differences exist is unclear but newborn DCs are considered underdeveloped and functionally immature.
Using ontogenetic tracing of conventional DC precursors, I have found a previously unappreciated developmental heterogeneity of DCs that is particularly prominent in young mice. Preliminary data indicate that distinct waves of DC poiesis contribute to the functional differences between neonatal and adult DCs. I hypothesize that the neonatal DC compartment is not immature but rather that DC poiesis is developmentally regulated to create essential age-dependent immune balance. Further, I have identified a unique situation in early life to address a fundamental biological question, namely to what extent cellular function is pre-programmed by developmental origin (nature) versus environmental factors (nurture).
In this proposal, we will first use novel models to fate map the origin of the DC compartment with age. We will then define to what extent cellular origin determines age-dependent functions of DCs in immunity. Using innovative comparative gene expression profiling and integrative epigenomic analysis the cell intrinsic mechanisms regulating the age-dependent functions of DCs will be characterized. Because environmental factors in utero and after birth critically influence immune balance, we will finally define the impact of maternal infection and metabolic disease, as well as early microbial encounter on DC poiesis. Characterizing how developmentally regulated DC poiesis shapes the unique features of early life immunity will provide novel insights into immune development that are vital to advance vaccine strategies.
Summary
Early life immune balance is essential for survival and establishment of healthy immunity in later life. We aim to define how age-dependent regulation of dendritic cell (DC) development contributes to this crucial immune balance. DCs are versatile controllers of immunity that in neonates are qualitatively distinct from adults. Why such age-dependent differences exist is unclear but newborn DCs are considered underdeveloped and functionally immature.
Using ontogenetic tracing of conventional DC precursors, I have found a previously unappreciated developmental heterogeneity of DCs that is particularly prominent in young mice. Preliminary data indicate that distinct waves of DC poiesis contribute to the functional differences between neonatal and adult DCs. I hypothesize that the neonatal DC compartment is not immature but rather that DC poiesis is developmentally regulated to create essential age-dependent immune balance. Further, I have identified a unique situation in early life to address a fundamental biological question, namely to what extent cellular function is pre-programmed by developmental origin (nature) versus environmental factors (nurture).
In this proposal, we will first use novel models to fate map the origin of the DC compartment with age. We will then define to what extent cellular origin determines age-dependent functions of DCs in immunity. Using innovative comparative gene expression profiling and integrative epigenomic analysis the cell intrinsic mechanisms regulating the age-dependent functions of DCs will be characterized. Because environmental factors in utero and after birth critically influence immune balance, we will finally define the impact of maternal infection and metabolic disease, as well as early microbial encounter on DC poiesis. Characterizing how developmentally regulated DC poiesis shapes the unique features of early life immunity will provide novel insights into immune development that are vital to advance vaccine strategies.
Max ERC Funding
1 500 000 €
Duration
Start date: 2017-06-01, End date: 2022-05-31
Project acronym CIRCODE
Project Cell-type specific mechanisms regulating rhythms in leukocyte homing
Researcher (PI) Christoph Andreas Scheiermann
Host Institution (HI) LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Call Details Starting Grant (StG), LS6, ERC-2014-STG
Summary Leukocytes are the key components of the immune system that fight infections and provide tissue repair, yet their migration patterns throughout the body over the course of a day are completely unknown. Circadian, ~24 hour rhythms are emerging as important novel regulators of immune cell migration and function, which impacts inflammatory diseases such as myocardial infarction and sepsis. Altering leukocyte tissue infiltration and activation at the proper times provides an option for therapy that would maximize the clinical impact of drugs and vaccinations and minimize side effects.
We aim to create a four-dimensional map of leukocyte migration to organs in time and space and investigate with epigenetics techniques the molecular mechanisms that regulate cell-type specific rhythms. We will functionally define the daily oscillating molecular signature(s) of leukocytes and endothelial cells with novel proteomics approaches and thus identify a circadian traffic code that dictates the rhythmic migration of leukocyte subsets to specific organs under steady-state and inflammatory conditions with pharmacological and genetic tools. We will assess the impact of lineage-specific arrhythmicities on immune homeostasis and leukocyte trafficking using an innovative combination of novel genetic tools. Based on these data we will create a model predicting circadian leukocyte migration to tissues.
The project combines the disciplines of immunology and chronobiology by obtaining unprecedented information in time and space of circadian leukocyte trafficking and investigating how immune-cell specific oscillations are generated at the molecular level, which is of broad impact for both fields. Our extensive experience in the rhythmic control of the immune system makes us well poised to characterize the molecular components that orchestrate circadian leukocyte distribution across the body.
Summary
Leukocytes are the key components of the immune system that fight infections and provide tissue repair, yet their migration patterns throughout the body over the course of a day are completely unknown. Circadian, ~24 hour rhythms are emerging as important novel regulators of immune cell migration and function, which impacts inflammatory diseases such as myocardial infarction and sepsis. Altering leukocyte tissue infiltration and activation at the proper times provides an option for therapy that would maximize the clinical impact of drugs and vaccinations and minimize side effects.
We aim to create a four-dimensional map of leukocyte migration to organs in time and space and investigate with epigenetics techniques the molecular mechanisms that regulate cell-type specific rhythms. We will functionally define the daily oscillating molecular signature(s) of leukocytes and endothelial cells with novel proteomics approaches and thus identify a circadian traffic code that dictates the rhythmic migration of leukocyte subsets to specific organs under steady-state and inflammatory conditions with pharmacological and genetic tools. We will assess the impact of lineage-specific arrhythmicities on immune homeostasis and leukocyte trafficking using an innovative combination of novel genetic tools. Based on these data we will create a model predicting circadian leukocyte migration to tissues.
The project combines the disciplines of immunology and chronobiology by obtaining unprecedented information in time and space of circadian leukocyte trafficking and investigating how immune-cell specific oscillations are generated at the molecular level, which is of broad impact for both fields. Our extensive experience in the rhythmic control of the immune system makes us well poised to characterize the molecular components that orchestrate circadian leukocyte distribution across the body.
Max ERC Funding
1 497 688 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym CMVAGSTIMULUS
Project Molecular mechanisms of persistent antigenic stimulation in cytomegalovirus infection
Researcher (PI) Luka Cicin-Sain
Host Institution (HI) HELMHOLTZ-ZENTRUM FUR INFEKTIONSFORSCHUNG GMBH
Call Details Starting Grant (StG), LS6, ERC-2010-StG_20091118
Summary Cytomegalovirus (CMV) is a ubiquitous herpesvirus, latently persisting in the majority of the adult population worldwide. In these hosts, CMV-specific memory cells dominate the immune memory compartment. It follows that CMV-specific T-cells dominate the memory compartment of the majority of the human population worldwide.
I propose to define within this project the molecular mechanisms driving the inflation of CMV-specific T-cells. My central hypothesis is that expression levels of CMV peptides during latency, along with the avidity of T-cell receptors for peptide MHC complexes, define the amplitude of T-cell responses. A corollary hypothesis is that vigorous T-cell responses in CMV infection are defined by factors that drive CMV gene expression during latency, such as inflammatory stimuli.
This hypothesis will be verified in a model of in vivo CMV latency and immune monitoring. We will benefit from state-of-the-art inducible genetic systems, where recombinant mouse CMV will be deployed in transgenic mice. In latently infected mice, we will induce or suppress the expression of immunodominant CMV genes, and define downstream effects on T-cell response kinetics. In parallel, we will define the T-cell responses to high and low avidity peptides.
Understanding the mechanisms driving the strong T-cell response to CMV is of outstanding biological and clinical relevance. If strong T-cell responses may be redirected to target heterologous antigens of interest, CMV-based vaccine vectors might potentially allow the development of HIV or tumor vaccines. On the other hand, it is speculated that the control of latent CMV may overcommit the aging immune system and exhaust the T-cell repertoire. Given the CMV pervasiveness, discerning the mechanisms of its T-cell induction may define novel molecular targets for rejuvenation strategies. In either case, the proposed research has groundbreaking potential in the field of infection and immunity.
Summary
Cytomegalovirus (CMV) is a ubiquitous herpesvirus, latently persisting in the majority of the adult population worldwide. In these hosts, CMV-specific memory cells dominate the immune memory compartment. It follows that CMV-specific T-cells dominate the memory compartment of the majority of the human population worldwide.
I propose to define within this project the molecular mechanisms driving the inflation of CMV-specific T-cells. My central hypothesis is that expression levels of CMV peptides during latency, along with the avidity of T-cell receptors for peptide MHC complexes, define the amplitude of T-cell responses. A corollary hypothesis is that vigorous T-cell responses in CMV infection are defined by factors that drive CMV gene expression during latency, such as inflammatory stimuli.
This hypothesis will be verified in a model of in vivo CMV latency and immune monitoring. We will benefit from state-of-the-art inducible genetic systems, where recombinant mouse CMV will be deployed in transgenic mice. In latently infected mice, we will induce or suppress the expression of immunodominant CMV genes, and define downstream effects on T-cell response kinetics. In parallel, we will define the T-cell responses to high and low avidity peptides.
Understanding the mechanisms driving the strong T-cell response to CMV is of outstanding biological and clinical relevance. If strong T-cell responses may be redirected to target heterologous antigens of interest, CMV-based vaccine vectors might potentially allow the development of HIV or tumor vaccines. On the other hand, it is speculated that the control of latent CMV may overcommit the aging immune system and exhaust the T-cell repertoire. Given the CMV pervasiveness, discerning the mechanisms of its T-cell induction may define novel molecular targets for rejuvenation strategies. In either case, the proposed research has groundbreaking potential in the field of infection and immunity.
Max ERC Funding
1 498 456 €
Duration
Start date: 2011-04-01, End date: 2016-09-30
Project acronym CON-HUMO
Project Control based on Human Models
Researcher (PI) Sandra Hirche
Host Institution (HI) TECHNISCHE UNIVERSITAET MUENCHEN
Call Details Starting Grant (StG), PE7, ERC-2013-StG
Summary "CON-HUMO focuses on novel concepts for automatic control based on data-driven human models and machine learning. This enables innovative control applications that are difficult if not impossible to realize using traditional control and identification methods, in particular in the challenging area of smart human-machine interaction. In order to achieve intuitive and efficient goal-oriented interaction, anticipation is key. For control selection based on prediction a dynamic model of the human interaction behavior is required, which, however, is difficult to obtain from first principles. In order to cope with the high complexity of human behavior with unknown inputs and only sparsely available training data we propose to use machine-learning techniques for statistical modeling of the dynamics. In this new field of human interaction modeling – data-driven and machine-learned – control methods with guaranteed properties do not exist. CON-HUMO addresses this niche.
Key methodological innovation and breakthrough is the merger of probabilistic learning with model-based control concepts through model confidence and prediction uncertainty. For the sake of concreteness and evaluation the focus is on one of the most challenging problem classes, namely physical human-machine interaction: Because of the physical contact between the human and the machine not only information, but also energy is exchanged posing fundamental challenges for real-time human-adaptive and safe decision making/control and requiring provable stability and performance guarantees. The developed methods are a direct enabler for societally important applications such as machine-based physical rehabilitation, mobility and manipulation aids for elderly, and collaborative human-machine production systems. With its fundamental results CON-HUMO lays the ground for the systematic control design for smart human-machine/infrastructure interaction."
Summary
"CON-HUMO focuses on novel concepts for automatic control based on data-driven human models and machine learning. This enables innovative control applications that are difficult if not impossible to realize using traditional control and identification methods, in particular in the challenging area of smart human-machine interaction. In order to achieve intuitive and efficient goal-oriented interaction, anticipation is key. For control selection based on prediction a dynamic model of the human interaction behavior is required, which, however, is difficult to obtain from first principles. In order to cope with the high complexity of human behavior with unknown inputs and only sparsely available training data we propose to use machine-learning techniques for statistical modeling of the dynamics. In this new field of human interaction modeling – data-driven and machine-learned – control methods with guaranteed properties do not exist. CON-HUMO addresses this niche.
Key methodological innovation and breakthrough is the merger of probabilistic learning with model-based control concepts through model confidence and prediction uncertainty. For the sake of concreteness and evaluation the focus is on one of the most challenging problem classes, namely physical human-machine interaction: Because of the physical contact between the human and the machine not only information, but also energy is exchanged posing fundamental challenges for real-time human-adaptive and safe decision making/control and requiring provable stability and performance guarantees. The developed methods are a direct enabler for societally important applications such as machine-based physical rehabilitation, mobility and manipulation aids for elderly, and collaborative human-machine production systems. With its fundamental results CON-HUMO lays the ground for the systematic control design for smart human-machine/infrastructure interaction."
Max ERC Funding
1 494 640 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym CONT-ACT
Project Control of contact interactions for robots acting in the world
Researcher (PI) Ludovic Dominique Righetti
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Call Details Starting Grant (StG), PE7, ERC-2014-STG
Summary What are the algorithmic principles that would allow a robot to run through a rocky terrain, lift a couch while reaching for an object that rolled under it or manipulate a screwdriver while balancing on top of a ladder? Answering this seemingly naïve question resorts to understanding the fundamental principles for robot locomotion and manipulation, which is very challenging. However, it is a necessary step towards ubiquitous robots capable of helping humans in an uncountable number of tasks. The fundamental aspect of both locomotion and manipulation is that the dynamic interaction of the robot with its environment through the creation of physical contacts is at the heart of the tasks. The planning of such interactions in a general manner is an unsolved problem. Moreover, it is not clear how sensory information (e.g. tactile and force sensors) can be included to improve the robustness of robot behaviors. Most of the time, it is simply discarded. CONT-ACT has the ambition to develop a consistent theoretical framework for motion generation and control where contact interaction is at the core of the approach and an efficient use of sensory information drives the development of high performance, adaptive and robust planning and control methods. CONT-ACT develops an architecture based on real-time predictive controllers that fully exploit contact interactions. In addition, the structure of sensory information during contact interactions is experimentally analyzed to create sensor representations adapted for control. It is then possible to learn predictive models in sensor space that are used to create very reactive controllers. The robot constantly improves its performance as it learns better sensory models. It is a step towards a general theory for robot movement that can be used to control any robot with legs and arms for both manipulation and locomotion tasks and that allows robots to constantly improve their performances as they experience the world.
Summary
What are the algorithmic principles that would allow a robot to run through a rocky terrain, lift a couch while reaching for an object that rolled under it or manipulate a screwdriver while balancing on top of a ladder? Answering this seemingly naïve question resorts to understanding the fundamental principles for robot locomotion and manipulation, which is very challenging. However, it is a necessary step towards ubiquitous robots capable of helping humans in an uncountable number of tasks. The fundamental aspect of both locomotion and manipulation is that the dynamic interaction of the robot with its environment through the creation of physical contacts is at the heart of the tasks. The planning of such interactions in a general manner is an unsolved problem. Moreover, it is not clear how sensory information (e.g. tactile and force sensors) can be included to improve the robustness of robot behaviors. Most of the time, it is simply discarded. CONT-ACT has the ambition to develop a consistent theoretical framework for motion generation and control where contact interaction is at the core of the approach and an efficient use of sensory information drives the development of high performance, adaptive and robust planning and control methods. CONT-ACT develops an architecture based on real-time predictive controllers that fully exploit contact interactions. In addition, the structure of sensory information during contact interactions is experimentally analyzed to create sensor representations adapted for control. It is then possible to learn predictive models in sensor space that are used to create very reactive controllers. The robot constantly improves its performance as it learns better sensory models. It is a step towards a general theory for robot movement that can be used to control any robot with legs and arms for both manipulation and locomotion tasks and that allows robots to constantly improve their performances as they experience the world.
Max ERC Funding
1 495 500 €
Duration
Start date: 2015-06-01, End date: 2020-05-31