Project acronym 1st-principles-discs
Project A First Principles Approach to Accretion Discs
Researcher (PI) Martin Elias Pessah
Host Institution (HI) KOBENHAVNS UNIVERSITET
Call Details Starting Grant (StG), PE9, ERC-2012-StG_20111012
Summary Most celestial bodies, from planets, to stars, to black holes; gain mass during their lives by means of an accretion disc. Understanding the physical processes that determine the rate at which matter accretes and energy is radiated in these discs is vital for unraveling the formation, evolution, and fate of almost every type of object in the Universe. Despite the fact that magnetic fields have been known to be crucial in accretion discs since the early 90’s, the majority of astrophysical questions that depend on the details of how disc accretion proceeds are still being addressed using the “standard” accretion disc model (developed in the early 70’s), where magnetic fields do not play an explicit role. This has prevented us from fully exploring the astrophysical consequences and observational signatures of realistic accretion disc models, leading to a profound disconnect between observations (usually interpreted with the standard paradigm) and modern accretion disc theory and numerical simulations (where magnetic turbulence is crucial). The goal of this proposal is to use several complementary approaches in order to finally move beyond the standard paradigm. This program has two main objectives: 1) Develop the theoretical framework to incorporate magnetic fields, and the ensuing turbulence, into self-consistent accretion disc models, and investigate their observational implications. 2) Investigate transport and radiative processes in collision-less disc regions, where non-thermal radiation originates, by employing a kinetic particle description of the plasma. In order to achieve these goals, we will use, and build upon, state-of-the-art magnetohydrodynamic and particle-in-cell codes in conjunction with theoretical modeling. This framework will make it possible to address fundamental questions on stellar and planet formation, binary systems with a compact object, and supermassive black hole feedback in a way that has no counterpart within the standard paradigm.
Summary
Most celestial bodies, from planets, to stars, to black holes; gain mass during their lives by means of an accretion disc. Understanding the physical processes that determine the rate at which matter accretes and energy is radiated in these discs is vital for unraveling the formation, evolution, and fate of almost every type of object in the Universe. Despite the fact that magnetic fields have been known to be crucial in accretion discs since the early 90’s, the majority of astrophysical questions that depend on the details of how disc accretion proceeds are still being addressed using the “standard” accretion disc model (developed in the early 70’s), where magnetic fields do not play an explicit role. This has prevented us from fully exploring the astrophysical consequences and observational signatures of realistic accretion disc models, leading to a profound disconnect between observations (usually interpreted with the standard paradigm) and modern accretion disc theory and numerical simulations (where magnetic turbulence is crucial). The goal of this proposal is to use several complementary approaches in order to finally move beyond the standard paradigm. This program has two main objectives: 1) Develop the theoretical framework to incorporate magnetic fields, and the ensuing turbulence, into self-consistent accretion disc models, and investigate their observational implications. 2) Investigate transport and radiative processes in collision-less disc regions, where non-thermal radiation originates, by employing a kinetic particle description of the plasma. In order to achieve these goals, we will use, and build upon, state-of-the-art magnetohydrodynamic and particle-in-cell codes in conjunction with theoretical modeling. This framework will make it possible to address fundamental questions on stellar and planet formation, binary systems with a compact object, and supermassive black hole feedback in a way that has no counterpart within the standard paradigm.
Max ERC Funding
1 793 697 €
Duration
Start date: 2013-02-01, End date: 2018-01-31
Project acronym 5D Heart Patch
Project A Functional, Mature In vivo Human Ventricular Muscle Patch for Cardiomyopathy
Researcher (PI) Kenneth Randall Chien
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Advanced Grant (AdG), LS7, ERC-2016-ADG
Summary Developing new therapeutic strategies for heart regeneration is a major goal for cardiac biology and medicine. While cardiomyocytes can be generated from human pluripotent stem (hPSC) cells in vitro, it has proven difficult to use these cells to generate a large scale, mature human heart ventricular muscle graft on the injured heart in vivo. The central objective of this proposal is to optimize the generation of a large-scale pure, fully functional human ventricular muscle patch in vivo through the self-assembly of purified human ventricular progenitors and the localized expression of defined paracrine factors that drive their expansion, differentiation, vascularization, matrix formation, and maturation. Recently, we have found that purified hPSC-derived ventricular progenitors (HVPs) can self-assemble in vivo on the epicardial surface into a 3D vascularized, and functional ventricular patch with its own extracellular matrix via a cell autonomous pathway. A two-step protocol and FACS purification of HVP receptors can generate billions of pure HVPs- The current proposal will lead to the identification of defined paracrine pathways to enhance the survival, grafting/implantation, expansion, differentiation, matrix formation, vascularization and maturation of the graft in vivo. We will captalize on our unique HVP system and our novel modRNA technology to deliver therapeutic strategies by using the in vivo human ventricular muscle to model in vivo arrhythmogenic cardiomyopathy, and optimize the ability of the graft to compensate for the massive loss of functional muscle during ischemic cardiomyopathy and post-myocardial infarction. The studies will lead to new in vivo chimeric models of human cardiac disease and an experimental paradigm to optimize organ-on-organ cardiac tissue engineers of an in vivo, functional mature ventricular patch for cardiomyopathy
Summary
Developing new therapeutic strategies for heart regeneration is a major goal for cardiac biology and medicine. While cardiomyocytes can be generated from human pluripotent stem (hPSC) cells in vitro, it has proven difficult to use these cells to generate a large scale, mature human heart ventricular muscle graft on the injured heart in vivo. The central objective of this proposal is to optimize the generation of a large-scale pure, fully functional human ventricular muscle patch in vivo through the self-assembly of purified human ventricular progenitors and the localized expression of defined paracrine factors that drive their expansion, differentiation, vascularization, matrix formation, and maturation. Recently, we have found that purified hPSC-derived ventricular progenitors (HVPs) can self-assemble in vivo on the epicardial surface into a 3D vascularized, and functional ventricular patch with its own extracellular matrix via a cell autonomous pathway. A two-step protocol and FACS purification of HVP receptors can generate billions of pure HVPs- The current proposal will lead to the identification of defined paracrine pathways to enhance the survival, grafting/implantation, expansion, differentiation, matrix formation, vascularization and maturation of the graft in vivo. We will captalize on our unique HVP system and our novel modRNA technology to deliver therapeutic strategies by using the in vivo human ventricular muscle to model in vivo arrhythmogenic cardiomyopathy, and optimize the ability of the graft to compensate for the massive loss of functional muscle during ischemic cardiomyopathy and post-myocardial infarction. The studies will lead to new in vivo chimeric models of human cardiac disease and an experimental paradigm to optimize organ-on-organ cardiac tissue engineers of an in vivo, functional mature ventricular patch for cardiomyopathy
Max ERC Funding
2 149 228 €
Duration
Start date: 2017-12-01, End date: 2022-11-30
Project acronym ARMOR-T
Project Armoring multifunctional T cells for cancer therapy
Researcher (PI) Sebastian Kobold
Host Institution (HI) LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Call Details Starting Grant (StG), LS7, ERC-2017-STG
Summary Adoptive T cell therapy (ACT) is a powerful approach to treat even advanced cancer diseases where poor prognosis calls for innovative treatments. However ACT is critically limited by insufficient T cell infiltration into the tumor, T cell activation at the tumor site and local T cell suppression. Few advances have been made in the field to tackle these limitations besides increasing T cell activation. My group has focussed on these unaddressed issues but came to realise that tackling these one by one will not be sufficient. I have developed a panel of unpublished chemokine receptors and innovative modular antibody-activated receptors which have the potential to overcome the limitations of ACT against solid tumors. This ground-breaking portfolio places my group in the unique position to address combination of synergistic receptors and enable cellular therapies in previously unsuccessful indications. My project will provide the rationale for provision of an effective cancer treatment. The goal is to develop the next generation of ACT through T cell engineering both by forced expression of migratory and activating receptors and simultaneous deletion of immune suppressive molecules by gene editing. ARMOR-T will provide the basis for further preclinical and clinical development of a pioneering cellular product devoid of the limitations of available products to date. I will prove 1) synergy between migratory and modular activating receptors, 2) feasibility to integrate gene editing into a T cell expansion protocol, 3) synergy between gene editing, migratory and modular receptors and 4) efficacy, safety and mode of action. The main work of the project will be carried out in models of pancreatic cancer. The ARMOR-T platform will subsequently be translated to other cancer entities where response to ACT is likely such as melanoma, breast or colon cancer, providing less toxic and more effective therapies to otherwise untreatable disease.
Summary
Adoptive T cell therapy (ACT) is a powerful approach to treat even advanced cancer diseases where poor prognosis calls for innovative treatments. However ACT is critically limited by insufficient T cell infiltration into the tumor, T cell activation at the tumor site and local T cell suppression. Few advances have been made in the field to tackle these limitations besides increasing T cell activation. My group has focussed on these unaddressed issues but came to realise that tackling these one by one will not be sufficient. I have developed a panel of unpublished chemokine receptors and innovative modular antibody-activated receptors which have the potential to overcome the limitations of ACT against solid tumors. This ground-breaking portfolio places my group in the unique position to address combination of synergistic receptors and enable cellular therapies in previously unsuccessful indications. My project will provide the rationale for provision of an effective cancer treatment. The goal is to develop the next generation of ACT through T cell engineering both by forced expression of migratory and activating receptors and simultaneous deletion of immune suppressive molecules by gene editing. ARMOR-T will provide the basis for further preclinical and clinical development of a pioneering cellular product devoid of the limitations of available products to date. I will prove 1) synergy between migratory and modular activating receptors, 2) feasibility to integrate gene editing into a T cell expansion protocol, 3) synergy between gene editing, migratory and modular receptors and 4) efficacy, safety and mode of action. The main work of the project will be carried out in models of pancreatic cancer. The ARMOR-T platform will subsequently be translated to other cancer entities where response to ACT is likely such as melanoma, breast or colon cancer, providing less toxic and more effective therapies to otherwise untreatable disease.
Max ERC Funding
1 636 710 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym ASTERISK
Project ASTERoseismic Investigations with SONG and Kepler
Researcher (PI) Jørgen Christensen-Dalsgaard
Host Institution (HI) AARHUS UNIVERSITET
Call Details Advanced Grant (AdG), PE9, ERC-2010-AdG_20100224
Summary The project aims at a breakthrough in our understanding of stellar evolution, by combining advanced observations of stellar oscillations with state-of-the-art modelling of stars. This will largely be based on very extensive and precise data on stellar oscillations from the NASA Kepler mission launched in March 2009, but additional high-quality data will also be included. In particular, my group is developing the global SONG network for observations of stellar oscillations. These observational efforts will be supplemented by sophisticated modelling of stellar evolution, and by the development of asteroseismic tools to use the observations to probe stellar interiors. This will lead to a far more reliable determination of stellar ages, and hence ages of other astrophysical objects; it will compare the properties of the Sun with other stars and hence provide an understanding of the life history of the Sun; it will investigate the physical processes that control stellar properties, both at the level of the thermodynamical properties of stellar plasmas and the hydrodynamical instabilities that play a central role in stellar evolution; and it will characterize central stars in extra-solar planetary systems, determining the size and age of the star and hence constrain the evolution of the planetary systems. The Kepler data will be analysed in a large international collaboration coordinated by our group. The SONG network, which will become partially operational during the present project, will yield even detailed information about the conditions in the interior of stars, allowing tests of subtle but central aspects of the physics of stellar interiors. The projects involve the organization of a central data archive for asteroseismic data, at the Royal Library, Copenhagen.
Summary
The project aims at a breakthrough in our understanding of stellar evolution, by combining advanced observations of stellar oscillations with state-of-the-art modelling of stars. This will largely be based on very extensive and precise data on stellar oscillations from the NASA Kepler mission launched in March 2009, but additional high-quality data will also be included. In particular, my group is developing the global SONG network for observations of stellar oscillations. These observational efforts will be supplemented by sophisticated modelling of stellar evolution, and by the development of asteroseismic tools to use the observations to probe stellar interiors. This will lead to a far more reliable determination of stellar ages, and hence ages of other astrophysical objects; it will compare the properties of the Sun with other stars and hence provide an understanding of the life history of the Sun; it will investigate the physical processes that control stellar properties, both at the level of the thermodynamical properties of stellar plasmas and the hydrodynamical instabilities that play a central role in stellar evolution; and it will characterize central stars in extra-solar planetary systems, determining the size and age of the star and hence constrain the evolution of the planetary systems. The Kepler data will be analysed in a large international collaboration coordinated by our group. The SONG network, which will become partially operational during the present project, will yield even detailed information about the conditions in the interior of stars, allowing tests of subtle but central aspects of the physics of stellar interiors. The projects involve the organization of a central data archive for asteroseismic data, at the Royal Library, Copenhagen.
Max ERC Funding
2 498 149 €
Duration
Start date: 2011-04-01, End date: 2016-03-31
Project acronym ASTRODYN
Project Astrophysical Dynamos
Researcher (PI) Axel Brandenburg
Host Institution (HI) KUNGLIGA TEKNISKA HOEGSKOLAN
Call Details Advanced Grant (AdG), PE9, ERC-2008-AdG
Summary Magnetic fields in stars, planets, accretion discs, and galaxies are believed to be the result of a dynamo process converting kinetic energy into magnetic energy. This work focuses on the solar dynamo, but dynamos in other astrophysical systems will also be addressed. In particular, direct high-resolution three-dimensional simulations are used to understand particular aspects of the solar dynamo and ultimately to simulate the solar dynamo as a whole. Phenomenological approaches will be avoided in favor of obtaining rigorous results. A major problem is catastrophic quenching, i.e. the decline of dynamo effects in inverse proportion to the magnetic Reynolds number, which is huge. Tremendous advances have been made in the last few years since the cause of catastrophic quenching in dynamos has been understood in terms of magnetic helicity evolution. The numerical tools are now in place to allow for magnetic helicity fluxes via coronal mass ejections, thus alleviating catastrophic quenching. This work employs simulations in spherical shells, augmented by Cartesian simulations in special cases. The roles of the near-surface shear layer, the tachocline, as well as pumping in the bulk of the convection zone are to be clarified. The Pencil Code will be used for most applications. The code is third order in time and sixth order in space and is used for solving the hydromagnetic equations. It is a public domain code developed by roughly 20 scientists world wide and maintained under an a central versioning system at Nordita. Automatic nightly tests of currently 30 applications ensure the integrity of the code. It is used for a wide range of applications and may include the effects of radiation, self-gravity, dust, chemistry, variable ionization, cosmic rays, in addition to those of magnetohydrodynamics. The code with its infrastructure offers a good opportunity for individuals within a broad group of people to develop new tools that may automatically be useful to others.
Summary
Magnetic fields in stars, planets, accretion discs, and galaxies are believed to be the result of a dynamo process converting kinetic energy into magnetic energy. This work focuses on the solar dynamo, but dynamos in other astrophysical systems will also be addressed. In particular, direct high-resolution three-dimensional simulations are used to understand particular aspects of the solar dynamo and ultimately to simulate the solar dynamo as a whole. Phenomenological approaches will be avoided in favor of obtaining rigorous results. A major problem is catastrophic quenching, i.e. the decline of dynamo effects in inverse proportion to the magnetic Reynolds number, which is huge. Tremendous advances have been made in the last few years since the cause of catastrophic quenching in dynamos has been understood in terms of magnetic helicity evolution. The numerical tools are now in place to allow for magnetic helicity fluxes via coronal mass ejections, thus alleviating catastrophic quenching. This work employs simulations in spherical shells, augmented by Cartesian simulations in special cases. The roles of the near-surface shear layer, the tachocline, as well as pumping in the bulk of the convection zone are to be clarified. The Pencil Code will be used for most applications. The code is third order in time and sixth order in space and is used for solving the hydromagnetic equations. It is a public domain code developed by roughly 20 scientists world wide and maintained under an a central versioning system at Nordita. Automatic nightly tests of currently 30 applications ensure the integrity of the code. It is used for a wide range of applications and may include the effects of radiation, self-gravity, dust, chemistry, variable ionization, cosmic rays, in addition to those of magnetohydrodynamics. The code with its infrastructure offers a good opportunity for individuals within a broad group of people to develop new tools that may automatically be useful to others.
Max ERC Funding
2 220 000 €
Duration
Start date: 2009-02-01, End date: 2014-01-31
Project acronym ASTROLAB
Project Cold Collisions and the Pathways Toward Life in Interstellar Space
Researcher (PI) Holger Kreckel
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Call Details Starting Grant (StG), PE9, ERC-2012-StG_20111012
Summary Modern telescopes like Herschel and ALMA open up a new window into molecular astrophysics to investigate a surprisingly rich chemistry that operates even at low densities and low temperatures. Observations with these instruments have the potential of unraveling key questions of astrobiology, like the accumulation of water and pre-biotic organic molecules on (exo)planets from asteroids and comets. Hand-in-hand with the heightened observational activities comes a strong demand for a thorough understanding of the molecular formation mechanisms. The vast majority of interstellar molecules are formed in ion-neutral reactions that remain efficient even at low temperatures. Unfortunately, the unusual nature of these processes under terrestrial conditions makes their laboratory study extremely difficult.
To address these issues, I propose to build a versatile merged beams setup for laboratory studies of ion-neutral collisions at the Cryogenic Storage Ring (CSR), the most ambitious of the next-generation storage devices under development worldwide. With this experimental setup, I will make use of a low-temperature and low-density environment that is ideal to simulate the conditions prevailing in interstellar space. The cryogenic surrounding, in combination with laser-generated ground state atom beams, will allow me to perform precise energy-resolved rate coefficient measurements for reactions between cold molecular ions (like, e.g., H2+, H3+, HCO+, CH2+, CH3+, etc.) and neutral atoms (H, D, C or O) in order to shed light on long-standing problems of astrochemistry and the formation of organic molecules in space.
With the large variability of the collision energy (corresponding to 40-40000 K), I will be able to provide data that are crucial for the interpretation of molecular observations in a variety of objects, ranging from cold molecular clouds to warm layers in protoplanetary disks.
Summary
Modern telescopes like Herschel and ALMA open up a new window into molecular astrophysics to investigate a surprisingly rich chemistry that operates even at low densities and low temperatures. Observations with these instruments have the potential of unraveling key questions of astrobiology, like the accumulation of water and pre-biotic organic molecules on (exo)planets from asteroids and comets. Hand-in-hand with the heightened observational activities comes a strong demand for a thorough understanding of the molecular formation mechanisms. The vast majority of interstellar molecules are formed in ion-neutral reactions that remain efficient even at low temperatures. Unfortunately, the unusual nature of these processes under terrestrial conditions makes their laboratory study extremely difficult.
To address these issues, I propose to build a versatile merged beams setup for laboratory studies of ion-neutral collisions at the Cryogenic Storage Ring (CSR), the most ambitious of the next-generation storage devices under development worldwide. With this experimental setup, I will make use of a low-temperature and low-density environment that is ideal to simulate the conditions prevailing in interstellar space. The cryogenic surrounding, in combination with laser-generated ground state atom beams, will allow me to perform precise energy-resolved rate coefficient measurements for reactions between cold molecular ions (like, e.g., H2+, H3+, HCO+, CH2+, CH3+, etc.) and neutral atoms (H, D, C or O) in order to shed light on long-standing problems of astrochemistry and the formation of organic molecules in space.
With the large variability of the collision energy (corresponding to 40-40000 K), I will be able to provide data that are crucial for the interpretation of molecular observations in a variety of objects, ranging from cold molecular clouds to warm layers in protoplanetary disks.
Max ERC Funding
1 486 800 €
Duration
Start date: 2012-09-01, End date: 2017-11-30
Project acronym Beacon
Project Beacons in the Dark
Researcher (PI) Paulo César Carvalho Freire
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Call Details Starting Grant (StG), PE9, ERC-2011-StG_20101014
Summary BEACON aims at performing an ambitious multi-disciplinary (optical, radio astronomy and theoretical physics) study to enable a fundamentally improved understanding of gravitation and space-time. For almost a century Einstein's general relativity has been the last word on gravity. However, superstring theory predicts new gravitational phenomena beyond relativity. In this proposal I will attempt to detect these new phenomena, with a sensitivity 20 times better than state-of-the-art attempts. A successful detection would take physics beyond its current understanding of the Universe.
These new gravitational phenomena are emission of dipolar gravitational waves and the violation of the strong equivalence principle (SEP). I plan to look for them by timing newly discovered binary pulsars. I will improve upon the best current limits on dipolar gravitational wave emission by a factor of 20 within the time of this proposal. I also plan to develop a test of the Strong Equivalence Principle using a new pulsar/main-sequence star binary. The precision of this test is likely to surpass the current best limits within the time frame of this proposal and then keep improving indefinitely with time. This happens because this is the cleanest gravitational experiment ever carried out.
In order to further these goals, I plan to build the ultimate pulsar observing system. By taking advantage of recent technological advances in microwave engineering (particularly sensitive ultra-wide band receivers) digital electronics (fast analogue-to-digital converters and digital spectrometers) and computing, my team and me will be able to greatly improve the sensitivity and precision for pulsar timing experiments and exploit the capabilities of modern radio telescopes to their limits.
Pulsars are the beacons that will guide me in these new, uncharted seas.
Summary
BEACON aims at performing an ambitious multi-disciplinary (optical, radio astronomy and theoretical physics) study to enable a fundamentally improved understanding of gravitation and space-time. For almost a century Einstein's general relativity has been the last word on gravity. However, superstring theory predicts new gravitational phenomena beyond relativity. In this proposal I will attempt to detect these new phenomena, with a sensitivity 20 times better than state-of-the-art attempts. A successful detection would take physics beyond its current understanding of the Universe.
These new gravitational phenomena are emission of dipolar gravitational waves and the violation of the strong equivalence principle (SEP). I plan to look for them by timing newly discovered binary pulsars. I will improve upon the best current limits on dipolar gravitational wave emission by a factor of 20 within the time of this proposal. I also plan to develop a test of the Strong Equivalence Principle using a new pulsar/main-sequence star binary. The precision of this test is likely to surpass the current best limits within the time frame of this proposal and then keep improving indefinitely with time. This happens because this is the cleanest gravitational experiment ever carried out.
In order to further these goals, I plan to build the ultimate pulsar observing system. By taking advantage of recent technological advances in microwave engineering (particularly sensitive ultra-wide band receivers) digital electronics (fast analogue-to-digital converters and digital spectrometers) and computing, my team and me will be able to greatly improve the sensitivity and precision for pulsar timing experiments and exploit the capabilities of modern radio telescopes to their limits.
Pulsars are the beacons that will guide me in these new, uncharted seas.
Max ERC Funding
1 892 376 €
Duration
Start date: 2011-09-01, End date: 2016-08-31
Project acronym BIO-IRT
Project Biologically individualized, model-based radiotherapy on the basis of multi-parametric molecular tumour profiling
Researcher (PI) Daniela Thorwarth
Host Institution (HI) EBERHARD KARLS UNIVERSITAET TUEBINGEN
Call Details Starting Grant (StG), LS7, ERC-2013-StG
Summary High precision radiotherapy (RT) allows extremely flexible tumour treatments achieving highly conformal radiation doses while sparing surrounding organs at risk. Nevertheless, failure rates of up to 50% are reported for head and neck cancer (HNC) due to radiation resistance induced by pathophysiologic factors such as hypoxia and other clinical factors as HPV-status, stage and tumour volume.
This project aims at developing a multi-parametric model for individualized RT (iRT) dose prescriptions in HNC based on biological markers and functional PET/MR imaging. This project goes far beyond current research standards and clinical practice as it aims for establishing hypoxia PET and f-MRI as well as biological markers in HNC as a role model for a novel concept from anatomy-based to biologically iRT.
During this project, a multi-parametric model will be developed on a preclinical basis that combines biological markers such as different oncogenes and hypoxia gene classifier with functional PET/MR imaging, such as FMISO PET in combination with different f-MRI techniques, like DW-, DCE- and BOLD-MRI in addition to MR spectroscopy. The ultimate goal of this project is a multi-parametric model to predict therapy outcome and guide iRT.
In a second part, a clinical study will be carried out to validate the preclinical model in patients. Based on the most informative radiobiological and imaging parameters as identified during the pre-clinical phase, biological markers and advanced PET/MR imaging will be evaluated in terms of their potential for iRT dose prescription.
Successful development of a model for biologically iRT prescription on the basis of multi-parametric molecular profiling would provide a unique basis for personalized cancer treatment. A validated multi-parametric model for RT outcome would represent a paradigm shift from anatomy-based to biologically iRT concepts with the ultimate goal of improving cancer cure rates.
Summary
High precision radiotherapy (RT) allows extremely flexible tumour treatments achieving highly conformal radiation doses while sparing surrounding organs at risk. Nevertheless, failure rates of up to 50% are reported for head and neck cancer (HNC) due to radiation resistance induced by pathophysiologic factors such as hypoxia and other clinical factors as HPV-status, stage and tumour volume.
This project aims at developing a multi-parametric model for individualized RT (iRT) dose prescriptions in HNC based on biological markers and functional PET/MR imaging. This project goes far beyond current research standards and clinical practice as it aims for establishing hypoxia PET and f-MRI as well as biological markers in HNC as a role model for a novel concept from anatomy-based to biologically iRT.
During this project, a multi-parametric model will be developed on a preclinical basis that combines biological markers such as different oncogenes and hypoxia gene classifier with functional PET/MR imaging, such as FMISO PET in combination with different f-MRI techniques, like DW-, DCE- and BOLD-MRI in addition to MR spectroscopy. The ultimate goal of this project is a multi-parametric model to predict therapy outcome and guide iRT.
In a second part, a clinical study will be carried out to validate the preclinical model in patients. Based on the most informative radiobiological and imaging parameters as identified during the pre-clinical phase, biological markers and advanced PET/MR imaging will be evaluated in terms of their potential for iRT dose prescription.
Successful development of a model for biologically iRT prescription on the basis of multi-parametric molecular profiling would provide a unique basis for personalized cancer treatment. A validated multi-parametric model for RT outcome would represent a paradigm shift from anatomy-based to biologically iRT concepts with the ultimate goal of improving cancer cure rates.
Max ERC Funding
1 370 799 €
Duration
Start date: 2014-01-01, End date: 2018-12-31
Project acronym BIOFINDER
Project New biomarkers for Alzheimer’s & Parkinson’s diseases - key tools for early diagnosis and drug development
Researcher (PI) Oskar Hansson
Host Institution (HI) LUNDS UNIVERSITET
Call Details Starting Grant (StG), LS7, ERC-2012-StG_20111109
Summary Alzheimer’s disease (AD) and Parkinson’s disease (PD) are common in elderly and the prevalence of these is increasing. AD and PD have distinct pathogenesis, which precede the overt clinical symptoms by 10-15 years, opening a window for early diagnosis and treatment. New disease-modifying therapies are likely to be most efficient if initiated before the patients exhibit overt symptoms, making biomarkers for early diagnosis crucial for future clinical trials. Validated biomarkers would speed up initiation of treatment, avoid unnecessary investigations, and reduce patient insecurity.
AIMS: (1) identify and validate accurate and cost-effective blood-based biomarkers for early identification of those at high risk to develop AD and PD, (2) develop algorithms using advanced imaging and cerebrospinal fluid biomarkers for earlier more accurate diagnoses, and (3) better understand the underlying pathology and early progression of AD and PD, aiming at finding new relevant drug targets.
We will assess well-characterized and clinically relevant populations of patients and healthy elderly. We will use population- and clinic-based cohorts and follow them prospectively for 4 year. Participants will undergo neurocognitive evaluation, provide blood and cerebrospinal fluid, and have brain imaging using advanced MRI protocols and a newly developed PET-tracer visualizing brain amyloid. Sample will be analyzed with quantitative mass spectrometry and high sensitivity immunoassays.
New biomarkers and brain imaging techniques will aid early diagnosis and facilitate the development of disease-modifying therapies, since treatment can start earlier in the disease process. New methods to quantify relevant drug targets, such as oligomers of β-amyloid and α-synuclein, will be vital when selecting drug candidates for large-scale clinical trials. By improving both diagnosis and therapies the social and economic burden of dementia might be reduced by expanding the period of healthy and active aging
Summary
Alzheimer’s disease (AD) and Parkinson’s disease (PD) are common in elderly and the prevalence of these is increasing. AD and PD have distinct pathogenesis, which precede the overt clinical symptoms by 10-15 years, opening a window for early diagnosis and treatment. New disease-modifying therapies are likely to be most efficient if initiated before the patients exhibit overt symptoms, making biomarkers for early diagnosis crucial for future clinical trials. Validated biomarkers would speed up initiation of treatment, avoid unnecessary investigations, and reduce patient insecurity.
AIMS: (1) identify and validate accurate and cost-effective blood-based biomarkers for early identification of those at high risk to develop AD and PD, (2) develop algorithms using advanced imaging and cerebrospinal fluid biomarkers for earlier more accurate diagnoses, and (3) better understand the underlying pathology and early progression of AD and PD, aiming at finding new relevant drug targets.
We will assess well-characterized and clinically relevant populations of patients and healthy elderly. We will use population- and clinic-based cohorts and follow them prospectively for 4 year. Participants will undergo neurocognitive evaluation, provide blood and cerebrospinal fluid, and have brain imaging using advanced MRI protocols and a newly developed PET-tracer visualizing brain amyloid. Sample will be analyzed with quantitative mass spectrometry and high sensitivity immunoassays.
New biomarkers and brain imaging techniques will aid early diagnosis and facilitate the development of disease-modifying therapies, since treatment can start earlier in the disease process. New methods to quantify relevant drug targets, such as oligomers of β-amyloid and α-synuclein, will be vital when selecting drug candidates for large-scale clinical trials. By improving both diagnosis and therapies the social and economic burden of dementia might be reduced by expanding the period of healthy and active aging
Max ERC Funding
1 500 000 €
Duration
Start date: 2013-06-01, End date: 2018-05-31
Project acronym BIOMENDELIAN
Project Linking Cardiometabolic Disease and Cancer in the Level of Genetics, Circulating Biomarkers, Microbiota and Environmental Risk Factors
Researcher (PI) Marju Orho-Melander
Host Institution (HI) LUNDS UNIVERSITET
Call Details Consolidator Grant (CoG), LS7, ERC-2014-CoG
Summary Cardiovascular disease (CVD), type 2 diabetes (T2D) and obesity, collectively referred to as cardiometabolic disease, together with cancer are the major morbidities and causes of death. With few exceptions, research on cardiometabolic disease and cancer is funded, studied and clinically applied separately without fully taking advantage of knowledge on common pathways and treatment targets through interdisciplinary synergies. The purpose of this proposal is to reveal causal factors connecting and disconnecting cardiometabolic diseases and cancer, and to understand interactions between gut microbiota, host diet and genetic susceptibility in a comprehensive prospective cohort study design to subsequently allow design of intervention strategies to guide more personalized disease prevention.
1. We investigate causality between genetic risk factors for cardiometabolic disease associated traits and future incidence of T2D, CVD, cancer (total/breast/colon/prostate) and mortality (total, CVD- and cancer mortality), searching for causal factors in a prospective cohort with >15 y follow-up (N>30,000, incident cases N=3550, 4713, 5975, 6115 for T2D, CVD, cancer, mortality)
2. For the first time in a large population (N=6000), we investigate how gut and oral microbiome are regulated by dietary factors, gut satiety peptides and host genetics, and how such connections relate to cardiometabolic disease associated traits and cancer
3. We investigate the role of diet and gene-diet interactions of importance for cardiometabolic disease and cancer
4. We perform genotype, biomarker and gut microbiota based diet intervention studies.
This inter-disciplinary project contributes to biological understanding of basic disease mechanisms and takes steps towards better possibilities to prevent and treat individuals at high risk for cardiometabolic disease, cancer and death.
Summary
Cardiovascular disease (CVD), type 2 diabetes (T2D) and obesity, collectively referred to as cardiometabolic disease, together with cancer are the major morbidities and causes of death. With few exceptions, research on cardiometabolic disease and cancer is funded, studied and clinically applied separately without fully taking advantage of knowledge on common pathways and treatment targets through interdisciplinary synergies. The purpose of this proposal is to reveal causal factors connecting and disconnecting cardiometabolic diseases and cancer, and to understand interactions between gut microbiota, host diet and genetic susceptibility in a comprehensive prospective cohort study design to subsequently allow design of intervention strategies to guide more personalized disease prevention.
1. We investigate causality between genetic risk factors for cardiometabolic disease associated traits and future incidence of T2D, CVD, cancer (total/breast/colon/prostate) and mortality (total, CVD- and cancer mortality), searching for causal factors in a prospective cohort with >15 y follow-up (N>30,000, incident cases N=3550, 4713, 5975, 6115 for T2D, CVD, cancer, mortality)
2. For the first time in a large population (N=6000), we investigate how gut and oral microbiome are regulated by dietary factors, gut satiety peptides and host genetics, and how such connections relate to cardiometabolic disease associated traits and cancer
3. We investigate the role of diet and gene-diet interactions of importance for cardiometabolic disease and cancer
4. We perform genotype, biomarker and gut microbiota based diet intervention studies.
This inter-disciplinary project contributes to biological understanding of basic disease mechanisms and takes steps towards better possibilities to prevent and treat individuals at high risk for cardiometabolic disease, cancer and death.
Max ERC Funding
2 000 000 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym BIOSENSORIMAGING
Project Hyperpolarized Biosensors in Molecular Imaging
Researcher (PI) Leif Schröder
Host Institution (HI) FORSCHUNGSVERBUND BERLIN EV
Call Details Starting Grant (StG), LS7, ERC-2009-StG
Summary Xenon biosensors have an outstanding potential to increase the significance of magnetic resonance imaging (MRI) in molecular imaging and to combine the advantages of MRI with the high sensitivity of hyperpolarized Xe-129 and the specificity of a functionalized contrast agent. Based on new detection schemes (Hyper-CEST method) in Xe MRI, this novel concept in molecular diagnostics will be made available for biomedical applications. The advancement focuses on high-sensitivity in vitro diagnostics for localization of tumour cells in cell cultures and first demonstrations on animal models based on a transferrin-functionalized biosensor. Such a sensor will enable detection of subcutaneous tumours at high sensitivity without any background signal. More detailed work on the different available Hyper-CEST contrast parameters focuses on an absolute quantification of new molecular markers that will improve non-invasive tumour diagnostics significantly. NMR detection of functionalized Xe biosensors have the potential to close the sensitivity gap between modalities of nuclear medicine like PET/SPECT and MRI without using ionizing radiation or making compromises in penetration depth like in optical methods.
Summary
Xenon biosensors have an outstanding potential to increase the significance of magnetic resonance imaging (MRI) in molecular imaging and to combine the advantages of MRI with the high sensitivity of hyperpolarized Xe-129 and the specificity of a functionalized contrast agent. Based on new detection schemes (Hyper-CEST method) in Xe MRI, this novel concept in molecular diagnostics will be made available for biomedical applications. The advancement focuses on high-sensitivity in vitro diagnostics for localization of tumour cells in cell cultures and first demonstrations on animal models based on a transferrin-functionalized biosensor. Such a sensor will enable detection of subcutaneous tumours at high sensitivity without any background signal. More detailed work on the different available Hyper-CEST contrast parameters focuses on an absolute quantification of new molecular markers that will improve non-invasive tumour diagnostics significantly. NMR detection of functionalized Xe biosensors have the potential to close the sensitivity gap between modalities of nuclear medicine like PET/SPECT and MRI without using ionizing radiation or making compromises in penetration depth like in optical methods.
Max ERC Funding
1 848 600 €
Duration
Start date: 2009-12-01, End date: 2014-11-30
Project acronym BLAST
Project Eclipsing binary stars as cutting edge laboratories for astrophysics of stellar
structure, stellar evolution and planet formation
Researcher (PI) Maciej Konacki
Host Institution (HI) CENTRUM ASTRONOMICZNE IM. MIKOLAJAKOPERNIKA POLSKIEJ AKADEMII NAUK
Call Details Starting Grant (StG), PE9, ERC-2010-StG_20091028
Summary Spectroscopic binary stars (SB2s) and in particular spectroscopic eclipsing binaries are one of the most useful objects in astrophysics. Their photometric and spectroscopic observations allow one to determine basic parameters of stars and carry out a wide range of tests of stellar structure, evolution and dynamics. Perhaps somewhat surprisingly, they can also contribute to our understanding of the formation and evolution of (extrasolar) planets. We will study eclipsing binary stars by combining the classic - stellar astronomy - and the modern - extrasolar planets - subjects into a cutting edge project.
We propose to search for and subsequently characterize circumbinary planets around ~350 eclipsing SB2s using our own novel cutting edge radial velocity technique for binary stars and a modern version of the photometry based eclipse timing of eclipsing binary stars employing 0.5-m robotic telescopes. We will also derive basic parameters of up to ~700 stars (~350 binaries) with an unprecedented precision. In particular for about 50% of our sample we expect to deliver masses of the components with an accuracy ~10-100 times better than the current state of the art.
Our project will provide unique constraints for the theories of planet formation and evolution and an unprecedented in quality set of the basic parameters of stars to test the theories of the stellar structure and evolution.
Summary
Spectroscopic binary stars (SB2s) and in particular spectroscopic eclipsing binaries are one of the most useful objects in astrophysics. Their photometric and spectroscopic observations allow one to determine basic parameters of stars and carry out a wide range of tests of stellar structure, evolution and dynamics. Perhaps somewhat surprisingly, they can also contribute to our understanding of the formation and evolution of (extrasolar) planets. We will study eclipsing binary stars by combining the classic - stellar astronomy - and the modern - extrasolar planets - subjects into a cutting edge project.
We propose to search for and subsequently characterize circumbinary planets around ~350 eclipsing SB2s using our own novel cutting edge radial velocity technique for binary stars and a modern version of the photometry based eclipse timing of eclipsing binary stars employing 0.5-m robotic telescopes. We will also derive basic parameters of up to ~700 stars (~350 binaries) with an unprecedented precision. In particular for about 50% of our sample we expect to deliver masses of the components with an accuracy ~10-100 times better than the current state of the art.
Our project will provide unique constraints for the theories of planet formation and evolution and an unprecedented in quality set of the basic parameters of stars to test the theories of the stellar structure and evolution.
Max ERC Funding
1 500 000 €
Duration
Start date: 2010-12-01, End date: 2016-11-30
Project acronym BloodVariome
Project Genetic variation exposes regulators of blood cell formation in vivo in humans
Researcher (PI) Björn Erik Ake NILSSON
Host Institution (HI) LUNDS UNIVERSITET
Call Details Consolidator Grant (CoG), LS7, ERC-2017-COG
Summary The human hematopoietic system is a paradigmatic, stem cell-maintained organ with enormous cell turnover. Hundreds of billions of new blood cells are produced each day. The process is tightly regulated, and susceptible to perturbation due to genetic variation.
In this project, we will explore an innovative, population-genetic approach to find regulators of blood cell formation. Unlike traditional studies on hematopoiesis in vitro or in animal models, we will exploit natural genetic variation to identify DNA sequence variants and genes that influence blood cell formation in vivo in humans. Instead of inserting artificial mutations in mice, we will read out ripples from the experiments that nature has performed during evolution.
Building on our previous work, unique population-based materials, mathematical modeling, and the latest genomics and genome editing techniques, we will:
1. Develop high-resolution association data and analysis methods to find DNA sequence variants influencing human hematopoiesis, including stem- and progenitor stages.
2. Identify sequence variants and genes influencing specific stages of adult and fetal/perinatal hematopoiesis.
3. Define the function, and disease associations, of identified variants and genes.
Led by the applicant, the project will involve researchers at Lund University, Royal Institute of Technology and deCODE Genetics, and will be carried out in strong environments. It has been preceded by significant preparatory work. It will provide a first detailed analysis of how genetic variation influences human hematopoiesis, potentially increasing our understanding, and abilities to control, diseases marked by abnormal blood cell formation (e.g., leukemia).
Summary
The human hematopoietic system is a paradigmatic, stem cell-maintained organ with enormous cell turnover. Hundreds of billions of new blood cells are produced each day. The process is tightly regulated, and susceptible to perturbation due to genetic variation.
In this project, we will explore an innovative, population-genetic approach to find regulators of blood cell formation. Unlike traditional studies on hematopoiesis in vitro or in animal models, we will exploit natural genetic variation to identify DNA sequence variants and genes that influence blood cell formation in vivo in humans. Instead of inserting artificial mutations in mice, we will read out ripples from the experiments that nature has performed during evolution.
Building on our previous work, unique population-based materials, mathematical modeling, and the latest genomics and genome editing techniques, we will:
1. Develop high-resolution association data and analysis methods to find DNA sequence variants influencing human hematopoiesis, including stem- and progenitor stages.
2. Identify sequence variants and genes influencing specific stages of adult and fetal/perinatal hematopoiesis.
3. Define the function, and disease associations, of identified variants and genes.
Led by the applicant, the project will involve researchers at Lund University, Royal Institute of Technology and deCODE Genetics, and will be carried out in strong environments. It has been preceded by significant preparatory work. It will provide a first detailed analysis of how genetic variation influences human hematopoiesis, potentially increasing our understanding, and abilities to control, diseases marked by abnormal blood cell formation (e.g., leukemia).
Max ERC Funding
2 000 000 €
Duration
Start date: 2018-10-01, End date: 2023-09-30
Project acronym BREATHE
Project Biochemically modified messenger RNA encoding nucleases for in vivo gene correction of severe inherited lung diseases
Researcher (PI) Michael Kormann
Host Institution (HI) EBERHARD KARLS UNIVERSITAET TUEBINGEN
Call Details Starting Grant (StG), LS7, ERC-2014-STG
Summary Surfactant Protein B (SP-B) deficiency and Cystic Fibrosis (CF) are severe, fatal inherited diseases affecting the lungs of ten thousands of people, for which there is currently no available cure. Although gene therapy is a promising therapeutic approach, various technical problems, including numerous physical and immune-mediated barriers, have prevented successful application to date. My recent studies were the first to demonstrate the life-saving efficacy of repeated pulmonary delivery of chemically modified messenger RNA (mRNA) in a mouse model of congenital SP-B deficiency. By incorporating balanced amounts of modified nucleotides to mimic endogenous transcripts, I developed a safe and therapeutically efficient vehicle for lung transfection that eliminates the risk of genomic integration commonly associated with DNA-based vectors. I also assessed the delivery of mRNA-encoded site-specific nucleases to the lung to facilitate targeted gene correction of the underlying disease-causing mutations. In comprehensive studies, we show that a single application of nucleases encoded by nucleotide-modified RNA (nec-mRNA) can generate in vivo correction of terminally differentiated alveolar type II cells, which more than quadrupled the life span of SP-B deficient mice. Together with my working group, I aim to further develop this technology to enhance the efficiency and safety of nec-mRNA-mediated in vivo lung stem cell targeting, providing an ultimate cure by permanent correction. Specifically, we will test this approach in humanized mouse models of SP-B deficiency and CF. Developing and genetically engineering humanized models in vivo will be a critical step towards the safe translation of mRNA based nuclease technology to the clinic. With my competitive edge in lung-transfection technology and strong data, I feel that my group is uniquely suited to achieve these goals and to make a highly valuable contribution to the development of an efficient treatment.
Summary
Surfactant Protein B (SP-B) deficiency and Cystic Fibrosis (CF) are severe, fatal inherited diseases affecting the lungs of ten thousands of people, for which there is currently no available cure. Although gene therapy is a promising therapeutic approach, various technical problems, including numerous physical and immune-mediated barriers, have prevented successful application to date. My recent studies were the first to demonstrate the life-saving efficacy of repeated pulmonary delivery of chemically modified messenger RNA (mRNA) in a mouse model of congenital SP-B deficiency. By incorporating balanced amounts of modified nucleotides to mimic endogenous transcripts, I developed a safe and therapeutically efficient vehicle for lung transfection that eliminates the risk of genomic integration commonly associated with DNA-based vectors. I also assessed the delivery of mRNA-encoded site-specific nucleases to the lung to facilitate targeted gene correction of the underlying disease-causing mutations. In comprehensive studies, we show that a single application of nucleases encoded by nucleotide-modified RNA (nec-mRNA) can generate in vivo correction of terminally differentiated alveolar type II cells, which more than quadrupled the life span of SP-B deficient mice. Together with my working group, I aim to further develop this technology to enhance the efficiency and safety of nec-mRNA-mediated in vivo lung stem cell targeting, providing an ultimate cure by permanent correction. Specifically, we will test this approach in humanized mouse models of SP-B deficiency and CF. Developing and genetically engineering humanized models in vivo will be a critical step towards the safe translation of mRNA based nuclease technology to the clinic. With my competitive edge in lung-transfection technology and strong data, I feel that my group is uniquely suited to achieve these goals and to make a highly valuable contribution to the development of an efficient treatment.
Max ERC Funding
1 497 125 €
Duration
Start date: 2015-04-01, End date: 2020-03-31
Project acronym C-MORPH
Project Noninvasive cell specific morphometry in neuroinflammation and degeneration
Researcher (PI) Henrik LUNDELL
Host Institution (HI) REGION HOVEDSTADEN
Call Details Starting Grant (StG), LS7, ERC-2018-STG
Summary Brain structure determines function. Disentangling regional microstructural properties and understanding how these properties constitute brain function is a central goal of neuroimaging of the human brain and a key prerequisite for a mechanistic understanding of brain diseases and their treatment. Using magnetic resonance (MR) imaging, previous research has established links between regional brain microstructure and inter-individual variation in brain function, but this line of research has been limited by the non-specificity of MR-derived markers. This hampers the application of MR imaging as a tool to identify specific fingerprints of the underlying disease process.
Exploiting state-of-the-art ultra-high field MR imaging techniques, I have recently developed two independent spectroscopic MR methods that have the potential to tackle this challenge: Powder averaged diffusion weighted spectroscopy (PADWS) can provide an unbiased marker for cell specific structural degeneration, and Spectrally tuned gradient trajectories (STGT) can isolate cell shape and size. In this project, I will harness these innovations for MR-based precision medicine. I will advance PADWS and STGT methodology on state-of-the-art MR hardware and harvest the synergy of these methods to realize Cell-specific in-vivo MORPHOMETRY (C-MORPH) of the intact human brain. I will establish novel MR read-outs and analyses to derive cell-type specific tissue properties in the healthy and diseased brain and validate them with the help of a strong translational experimental framework, including histological validation. Once validated, the experimental methods and analyses will be simplified and adapted to provide clinically applicable tools. This will push the frontiers of MR-based personalized medicine, guiding therapeutic decisions by providing sensitive probes of cell-specific microstructural changes caused by inflammation, neurodegeneration or treatment response.
Summary
Brain structure determines function. Disentangling regional microstructural properties and understanding how these properties constitute brain function is a central goal of neuroimaging of the human brain and a key prerequisite for a mechanistic understanding of brain diseases and their treatment. Using magnetic resonance (MR) imaging, previous research has established links between regional brain microstructure and inter-individual variation in brain function, but this line of research has been limited by the non-specificity of MR-derived markers. This hampers the application of MR imaging as a tool to identify specific fingerprints of the underlying disease process.
Exploiting state-of-the-art ultra-high field MR imaging techniques, I have recently developed two independent spectroscopic MR methods that have the potential to tackle this challenge: Powder averaged diffusion weighted spectroscopy (PADWS) can provide an unbiased marker for cell specific structural degeneration, and Spectrally tuned gradient trajectories (STGT) can isolate cell shape and size. In this project, I will harness these innovations for MR-based precision medicine. I will advance PADWS and STGT methodology on state-of-the-art MR hardware and harvest the synergy of these methods to realize Cell-specific in-vivo MORPHOMETRY (C-MORPH) of the intact human brain. I will establish novel MR read-outs and analyses to derive cell-type specific tissue properties in the healthy and diseased brain and validate them with the help of a strong translational experimental framework, including histological validation. Once validated, the experimental methods and analyses will be simplified and adapted to provide clinically applicable tools. This will push the frontiers of MR-based personalized medicine, guiding therapeutic decisions by providing sensitive probes of cell-specific microstructural changes caused by inflammation, neurodegeneration or treatment response.
Max ERC Funding
1 498 811 €
Duration
Start date: 2018-12-01, End date: 2023-11-30
Project acronym CARDIOMICS
Project Cardiomics: Use of -omics methods in large populations for identification of novel drug targets and clinical biomarkers for coronary heart disease
Researcher (PI) Erik Ingelsson
Host Institution (HI) UPPSALA UNIVERSITET
Call Details Starting Grant (StG), LS7, ERC-2013-StG
Summary There is a large need for revitalization of the research on coronary heart disease (CHD) including: a) improved risk prediction and more adequate individually-tailored treatment; and b) new targets for drug development based on pathways previously unknown to be involved in CHD pathophysiology.
The overall goal of this proposal is to improve prevention and treatment of CHD through better understanding of the biology underlying disease development, identification of new biomarkers for improved risk prediction, and discovery of novel targets for drug development.
The specific aims are to:
1) Establish and characterize causal genes in known CHD loci (gene regions) through: a) resequencing of known CHD loci; b) expression profiling in liver, arteries, myocardium and skeletal muscle; c) high-throughput protein profiling; and d) experimental follow-up in zebrafish (Danio rerio) models.
2) Discover new proteins, metabolites and pathways involved in CHD pathophysiology using global proteomic and metabolomic profiling to provide new biomarkers and drug targets.
We will integrate genomic, transcriptomic, metabolomic and proteomic data from five longitudinal, population-based cohort studies with detailed phenotyping and one study with tissue collections for expression studies. The cohort studies include 36,907 individuals; there are 3,093 prevalent CHD cases at baseline and the estimated number of incident (new) events in previously healthy by 2016 is 2,202. In addition, we work with zebrafish model systems to establish causal CHD genes and characterize their mechanisms of action.
We have access to unique study materials, state-of-the art methods, and a strong track record of successful projects in this field. To our knowledge, there are no other groups combining -omics methods to elucidate the whole chain from DNA variation to overt CHD in such large and well-characterized study samples. Further, we are unaware of other groups using zebrafish models to screen for and characterize causal CHD genes. Our work is anticipated to lead to new important insights into the pathophysiology of CHD, identification of new biomarkers for improved risk prediction, and discovery of novel targets for drug development.
Summary
There is a large need for revitalization of the research on coronary heart disease (CHD) including: a) improved risk prediction and more adequate individually-tailored treatment; and b) new targets for drug development based on pathways previously unknown to be involved in CHD pathophysiology.
The overall goal of this proposal is to improve prevention and treatment of CHD through better understanding of the biology underlying disease development, identification of new biomarkers for improved risk prediction, and discovery of novel targets for drug development.
The specific aims are to:
1) Establish and characterize causal genes in known CHD loci (gene regions) through: a) resequencing of known CHD loci; b) expression profiling in liver, arteries, myocardium and skeletal muscle; c) high-throughput protein profiling; and d) experimental follow-up in zebrafish (Danio rerio) models.
2) Discover new proteins, metabolites and pathways involved in CHD pathophysiology using global proteomic and metabolomic profiling to provide new biomarkers and drug targets.
We will integrate genomic, transcriptomic, metabolomic and proteomic data from five longitudinal, population-based cohort studies with detailed phenotyping and one study with tissue collections for expression studies. The cohort studies include 36,907 individuals; there are 3,093 prevalent CHD cases at baseline and the estimated number of incident (new) events in previously healthy by 2016 is 2,202. In addition, we work with zebrafish model systems to establish causal CHD genes and characterize their mechanisms of action.
We have access to unique study materials, state-of-the art methods, and a strong track record of successful projects in this field. To our knowledge, there are no other groups combining -omics methods to elucidate the whole chain from DNA variation to overt CHD in such large and well-characterized study samples. Further, we are unaware of other groups using zebrafish models to screen for and characterize causal CHD genes. Our work is anticipated to lead to new important insights into the pathophysiology of CHD, identification of new biomarkers for improved risk prediction, and discovery of novel targets for drug development.
Max ERC Funding
1 498 224 €
Duration
Start date: 2014-01-01, End date: 2018-12-31
Project acronym CARDIOPREVENT
Project INTEGRATION OF GENOMICS AND CARDIOMETABOLIC PLASMA BIOMARKERS FOR IMPROVED PREDICTION AND PRIMARY PREVENTION OF CARDIOVASCULAR DISEASE
Researcher (PI) Olle Sten Melander
Host Institution (HI) LUNDS UNIVERSITET
Call Details Starting Grant (StG), LS7, ERC-2011-StG_20101109
Summary "By taking advantage of great experience in genetic and cardiovascular epidemiology and some of the largest cohorts in the world including 60 000 unique individuals, the applicant aims at (1) improving CVD risk prediction and (2) identifying mechanisms causally related to CVD development in order to provide novel targets for drug discovery and targeted life style interventions for use in primary prevention.
In SUBPROJECT 1 we aim at identifying disease causing alleles of loci implicated in CVD by Genome Wide Association Studies (GWAS) and to identify rare alleles with large impact on human CVD. We thus perform whole exome and targeted sequencing in early CVD cases and healthy controls and evaluate all identified variants by relating them to incident CVD in 60.000 individuals. Further, we will create a score of all validated CVD gene variants and test whether such a score improves clinical risk assessment over and above traditional risk factors.
In SUBPROJECT 2 we test whether the plasma metabolome- a phenotype representing the product of dietary intake and inherent (e.g. genetic) metabolism- differs between incident CVD cases and controls and between individuals with high and low CVD genetic risk. We further test whether a life style intervention differentially alters the plasma metabolome between individuals with high and low CVD genetic risk. Finally, we will elucidate the mechanisms underlying CVD genetic associations by testing whether myocardial expression of such genes are affected by experimental myocardial infarction (MI) and whether heart function, MI size and the plasma metabolome are affected by adenoviral myocardial CVD gene transfer in rats.
In SUBPROJECT 3 we test whether glucose metabolism and CVD risk factors can be ameliorated by suppressing vasopressin (VP) by increased water intake in humans. Finally, we test which of the 3 VP receptors is responsible for adverse glucometabolic VP effects in rats by specific VP receptor pharmacological studies."
Summary
"By taking advantage of great experience in genetic and cardiovascular epidemiology and some of the largest cohorts in the world including 60 000 unique individuals, the applicant aims at (1) improving CVD risk prediction and (2) identifying mechanisms causally related to CVD development in order to provide novel targets for drug discovery and targeted life style interventions for use in primary prevention.
In SUBPROJECT 1 we aim at identifying disease causing alleles of loci implicated in CVD by Genome Wide Association Studies (GWAS) and to identify rare alleles with large impact on human CVD. We thus perform whole exome and targeted sequencing in early CVD cases and healthy controls and evaluate all identified variants by relating them to incident CVD in 60.000 individuals. Further, we will create a score of all validated CVD gene variants and test whether such a score improves clinical risk assessment over and above traditional risk factors.
In SUBPROJECT 2 we test whether the plasma metabolome- a phenotype representing the product of dietary intake and inherent (e.g. genetic) metabolism- differs between incident CVD cases and controls and between individuals with high and low CVD genetic risk. We further test whether a life style intervention differentially alters the plasma metabolome between individuals with high and low CVD genetic risk. Finally, we will elucidate the mechanisms underlying CVD genetic associations by testing whether myocardial expression of such genes are affected by experimental myocardial infarction (MI) and whether heart function, MI size and the plasma metabolome are affected by adenoviral myocardial CVD gene transfer in rats.
In SUBPROJECT 3 we test whether glucose metabolism and CVD risk factors can be ameliorated by suppressing vasopressin (VP) by increased water intake in humans. Finally, we test which of the 3 VP receptors is responsible for adverse glucometabolic VP effects in rats by specific VP receptor pharmacological studies."
Max ERC Funding
1 500 000 €
Duration
Start date: 2011-12-01, End date: 2016-11-30
Project acronym CAstRA
Project Comet and Asteroid Re-Shaping through Activity
Researcher (PI) Jessica AGARWAL
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Call Details Starting Grant (StG), PE9, ERC-2017-STG
Summary The proposed project will significantly improve the insight in the processes that have changed a comet nucleus or asteroid since their formation. These processes typically go along with activity, the observable release of gas and/or dust. Understanding the evolutionary processes of comets and asteroids will allow us to answer the crucial question which aspects of these present-day bodies still provide essential clues to their formation in the protoplanetary disc of the early solar system.
Ground-breaking progress in understanding these fundamental questions can now be made thanks to the huge and unprecedented data set returned between 2014 and 2016 by the European Space Agency’s Rosetta mission to comet 67P/Churyumov-Gerasimenko, and by recent major advances in the observational study of active asteroids facilitated by the increased availability of sky surveys and follow-on observations with world-class telescopes.
The key aims of this proposal are to
- Obtain a unified quantitative picture of the different erosion processes active in comets and asteroids,
- Investigate how ice is stored in comets and asteroids,
- Characterize the ejected dust (size distribution, optical and thermal properties) and relate it to dust around other stars,
- Understand in which respects comet 67P can be considered as representative of a wider sample of comets or even asteroids.
We will follow a highly multi-disciplinary approach analyzing data from many Rosetta instruments, ground- and space-based telescopes, and connect these through numerical models of the dust dynamics and thermal properties.
Summary
The proposed project will significantly improve the insight in the processes that have changed a comet nucleus or asteroid since their formation. These processes typically go along with activity, the observable release of gas and/or dust. Understanding the evolutionary processes of comets and asteroids will allow us to answer the crucial question which aspects of these present-day bodies still provide essential clues to their formation in the protoplanetary disc of the early solar system.
Ground-breaking progress in understanding these fundamental questions can now be made thanks to the huge and unprecedented data set returned between 2014 and 2016 by the European Space Agency’s Rosetta mission to comet 67P/Churyumov-Gerasimenko, and by recent major advances in the observational study of active asteroids facilitated by the increased availability of sky surveys and follow-on observations with world-class telescopes.
The key aims of this proposal are to
- Obtain a unified quantitative picture of the different erosion processes active in comets and asteroids,
- Investigate how ice is stored in comets and asteroids,
- Characterize the ejected dust (size distribution, optical and thermal properties) and relate it to dust around other stars,
- Understand in which respects comet 67P can be considered as representative of a wider sample of comets or even asteroids.
We will follow a highly multi-disciplinary approach analyzing data from many Rosetta instruments, ground- and space-based telescopes, and connect these through numerical models of the dust dynamics and thermal properties.
Max ERC Funding
1 484 688 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym CellTrack
Project Cellular Position Tracking Using DNA Origami Barcodes
Researcher (PI) Björn HÖGBERG
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Consolidator Grant (CoG), LS7, ERC-2016-COG
Summary The research I propose here will provide an enabling technology; spatially resolved transcriptomics, to address important problems in cell- and developmental-biology, in particular: How are stem cells in the skin and gut proliferating without turning into cancers? How are differentiated cells related, in their transcriptome and spatial positions, to their progenitors?
To investigate these problems on a molecular level and open up paths to find completely new spatiotemporal interdependencies in complex biological systems, I propose to use our newly developed DNA-origami strategy (Benson et al, Nature, 523 p. 441 (2015) ), combined with a combinatorial cloning technique, to build a new method for deep mRNA sequencing of tissue with single-cell resolution. These new types of origami are stable in physiological salt conditions and opens up their use in in-vivo applications.
In DNA-origami we can control the exact spatial position of all nucleotides. By folding the scaffold to display sequences for hybridization of fluorophores conjugated to DNA, we can create optical nano-barcodes. By using structures made out of DNA, the patterns of the optical barcodes will be readable both by imaging and by sequencing, thus enabling the creation of a mapping between cell locations in an organ and the mRNA expression of those cells.
We will use the method to perform spatially resolved transcriptomics in small organs: the mouse hair follicle, and small intestine crypt, and also perform the procedure for multiple samples collected at different time points. This will enable a high-dimensional data analysis that most likely will expose previously unknown dependencies that would provide completely new knowledge about how these biological systems work. By studying these systems, we will uncover much more information on how stem cells contribute to regeneration, the issue of de-differentiation that is a common theme in these organs and the effect this might have on the origin of cancer.
Summary
The research I propose here will provide an enabling technology; spatially resolved transcriptomics, to address important problems in cell- and developmental-biology, in particular: How are stem cells in the skin and gut proliferating without turning into cancers? How are differentiated cells related, in their transcriptome and spatial positions, to their progenitors?
To investigate these problems on a molecular level and open up paths to find completely new spatiotemporal interdependencies in complex biological systems, I propose to use our newly developed DNA-origami strategy (Benson et al, Nature, 523 p. 441 (2015) ), combined with a combinatorial cloning technique, to build a new method for deep mRNA sequencing of tissue with single-cell resolution. These new types of origami are stable in physiological salt conditions and opens up their use in in-vivo applications.
In DNA-origami we can control the exact spatial position of all nucleotides. By folding the scaffold to display sequences for hybridization of fluorophores conjugated to DNA, we can create optical nano-barcodes. By using structures made out of DNA, the patterns of the optical barcodes will be readable both by imaging and by sequencing, thus enabling the creation of a mapping between cell locations in an organ and the mRNA expression of those cells.
We will use the method to perform spatially resolved transcriptomics in small organs: the mouse hair follicle, and small intestine crypt, and also perform the procedure for multiple samples collected at different time points. This will enable a high-dimensional data analysis that most likely will expose previously unknown dependencies that would provide completely new knowledge about how these biological systems work. By studying these systems, we will uncover much more information on how stem cells contribute to regeneration, the issue of de-differentiation that is a common theme in these organs and the effect this might have on the origin of cancer.
Max ERC Funding
1 923 263 €
Duration
Start date: 2017-08-01, End date: 2022-07-31
Project acronym CepBin
Project A sub-percent distance scale from binaries and Cepheids
Researcher (PI) Grzegorz PIETRZYNSKI
Host Institution (HI) CENTRUM ASTRONOMICZNE IM. MIKOLAJAKOPERNIKA POLSKIEJ AKADEMII NAUK
Call Details Advanced Grant (AdG), PE9, ERC-2015-AdG
Summary We propose to carry out a project which will produce a decisive step towards improving the accuracy of the Hubble constant as determined from the Cepheid-SN Ia method to 1%, by using 28 extremely rare eclipsing binary systems in the LMC which offer the potential to determine their distances to 1%. To achieve this accuracy we will reduce the main error in the binary method by interferometric angular diameter measurements of a sample of red clump stars which resemble the stars in our binary systems. We will check on our calibration with similar binary systems close enough to determine their orbits from interferometry. We already showed the feasibility of our method which yielded the best-ever distance determination to the LMC of 2.2% from 8 such binary systems. With 28 systems and the improved angular diameter calibration we will push the LMC distance uncertainty down to 1% which will allow to set the zero point of the Cepheid PL relation with the same accuracy using the large available LMC Cepheid sample. We will determine the metallicity effect on Cepheid luminosities by a) determining a 2% distance to the more metal-poor SMC with our binary method, and by b) measuring the distances to LMC and SMC with an improved Baade-Wesselink (BW) method. We will achieve this improvement by analyzing 9 unique Cepheids in eclipsing binaries in the LMC our group has discovered which allow factor- of-ten improvements in the determination of all basic physical parameters of Cepheids. These studies will also increase our confidence in the Cepheid-based H0 determination. Our project bears strong synergy to the Gaia mission by providing the best checks on possible systematic uncertainties on Gaia parallaxes with 200 binary systems whose distances we will measure to 1-2%. We will provide two unique tools for 1-3 % distance determinations to individual objects in a volume of 1 Mpc, being competitive to Gaia already at a distance of 1 kpc from the Sun.
Summary
We propose to carry out a project which will produce a decisive step towards improving the accuracy of the Hubble constant as determined from the Cepheid-SN Ia method to 1%, by using 28 extremely rare eclipsing binary systems in the LMC which offer the potential to determine their distances to 1%. To achieve this accuracy we will reduce the main error in the binary method by interferometric angular diameter measurements of a sample of red clump stars which resemble the stars in our binary systems. We will check on our calibration with similar binary systems close enough to determine their orbits from interferometry. We already showed the feasibility of our method which yielded the best-ever distance determination to the LMC of 2.2% from 8 such binary systems. With 28 systems and the improved angular diameter calibration we will push the LMC distance uncertainty down to 1% which will allow to set the zero point of the Cepheid PL relation with the same accuracy using the large available LMC Cepheid sample. We will determine the metallicity effect on Cepheid luminosities by a) determining a 2% distance to the more metal-poor SMC with our binary method, and by b) measuring the distances to LMC and SMC with an improved Baade-Wesselink (BW) method. We will achieve this improvement by analyzing 9 unique Cepheids in eclipsing binaries in the LMC our group has discovered which allow factor- of-ten improvements in the determination of all basic physical parameters of Cepheids. These studies will also increase our confidence in the Cepheid-based H0 determination. Our project bears strong synergy to the Gaia mission by providing the best checks on possible systematic uncertainties on Gaia parallaxes with 200 binary systems whose distances we will measure to 1-2%. We will provide two unique tools for 1-3 % distance determinations to individual objects in a volume of 1 Mpc, being competitive to Gaia already at a distance of 1 kpc from the Sun.
Max ERC Funding
2 360 500 €
Duration
Start date: 2016-11-01, End date: 2021-10-31