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 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 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
Project acronym COCO2CASA
Project Modeling Stellar Collapse and Explosion: Evolving Progenitor Stars to Supernova Remnants
Researcher (PI) Hans-Thomas Janka
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Call Details Advanced Grant (AdG), PE9, ERC-2013-ADG
Summary "This project intends to make groundbreaking progress towards the solution of one of the most pestering and long-standing riddles of stellar astrophysics, namely the question how massive stars explode as supernovae (SNe).
State-of-the-art simulations in two dimensions (2D) now yield neutrino-powered (through underenergetic) explosions for a growing variety of progenitors and thus support the delayed neutrino-heating mechanism. However, sophisticated, fully self-consistent, 3D simulations are still lacking, the spherical symmetry of the progenitor star models is becoming a serious handicap, and better exploitation of observational constraints of the SN mechanism is urgently needed.
For these reasons we plan a novel, comprehensive modeling approach, in which 3D hydrodynamics including all relevant microphysics will not only be employed for the launch phase of the SN blast wave by neutrino-energy deposition. Different from previous initiatives, 3D hydrodynamics will also be applied to the final stages of convective shell burning in the progenitor core before collapse in order to derive --for the first time-- self-consistent, multidimensional progenitor data for adopting them as initial conditions in the SN modeling. Moreover, the 3D explosion simulations will be continued consistently through the long-time evolution of the SN outburst into the gaseous remnant phase. This challenging approach promises fundamentally new insights into the processes that trigger and shape SN explosions and will revise our understanding of how SNe depend on the properties of their progenitor stars. Moreover, heading for a direct comparison of the derived theoretical models with nearby young SN remnants like Crab, Cassiopeia A, and SN 1987A, whose 3D morphology and composition are currently unfolded in stunning detail by multiwavelength observations, the project will lay the foundations of a powerful, innovative, and so far not exploited way of probing the physics deep inside the SN core."
Summary
"This project intends to make groundbreaking progress towards the solution of one of the most pestering and long-standing riddles of stellar astrophysics, namely the question how massive stars explode as supernovae (SNe).
State-of-the-art simulations in two dimensions (2D) now yield neutrino-powered (through underenergetic) explosions for a growing variety of progenitors and thus support the delayed neutrino-heating mechanism. However, sophisticated, fully self-consistent, 3D simulations are still lacking, the spherical symmetry of the progenitor star models is becoming a serious handicap, and better exploitation of observational constraints of the SN mechanism is urgently needed.
For these reasons we plan a novel, comprehensive modeling approach, in which 3D hydrodynamics including all relevant microphysics will not only be employed for the launch phase of the SN blast wave by neutrino-energy deposition. Different from previous initiatives, 3D hydrodynamics will also be applied to the final stages of convective shell burning in the progenitor core before collapse in order to derive --for the first time-- self-consistent, multidimensional progenitor data for adopting them as initial conditions in the SN modeling. Moreover, the 3D explosion simulations will be continued consistently through the long-time evolution of the SN outburst into the gaseous remnant phase. This challenging approach promises fundamentally new insights into the processes that trigger and shape SN explosions and will revise our understanding of how SNe depend on the properties of their progenitor stars. Moreover, heading for a direct comparison of the derived theoretical models with nearby young SN remnants like Crab, Cassiopeia A, and SN 1987A, whose 3D morphology and composition are currently unfolded in stunning detail by multiwavelength observations, the project will lay the foundations of a powerful, innovative, and so far not exploited way of probing the physics deep inside the SN core."
Max ERC Funding
2 898 600 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym Cosmic_Gas
Project Mapping the Cosmic Gas Supply with ALMA
Researcher (PI) Fabian WALTER
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Call Details Advanced Grant (AdG), PE9, ERC-2016-ADG
Summary The molecular gas phase is the material in galaxies out of which stars form. As such, it is the quantity that controls the star formation rate of a galaxy, thereby the overall stellar mass build-up, and ultimately galaxy evolution through cosmic times. In contrast to studies of the stellar mass and star formation, characterizing this fuel supply in galaxies as a function of cosmic epoch is still in its infancy. The ALMA facility now redefines our ability to map out the cosmic cold gas supply, essentially unknown at present. This ERC proposal is based on extensive approved observational ALMA programs, led by the PI: ASPECS is the first-ever approved ALMA large (150h) program, aimed at providing a comprehensive view of the baryon cycle from gas to stars over cosmic time. ASPECS will provide 3D molecular scans in two ALMA bands of the Hubble Ultra Deep Field -- the iconic cosmological deep field. A second focus is the detailed characterization of the molecular gas content at z>6 in host galaxies of the most distant quasars via ALMA. This will assess the role of cold gas in the build-up of the first (t_Universe < 1 Gyr) massive cosmic structures in the Universe, again through significant approved ALMA programs led by the PI’s group. The studies outlined here will fully capitalize on the unparalleled capabilities of ALMA to map out the cosmic gas supply through cosmic history, and will provide crucial insights to define observational strategies for JWST (the PI is member of the European JWST/MIRI science team). Through his track record, past achievements in the field of galaxy evolution studies, and through the available proprietary data, the PI is uniquely positioned to lead this ambitious program, which will define the global state-of-the-art in cosmological galaxy evolution through high-redshift ISM studies.
Summary
The molecular gas phase is the material in galaxies out of which stars form. As such, it is the quantity that controls the star formation rate of a galaxy, thereby the overall stellar mass build-up, and ultimately galaxy evolution through cosmic times. In contrast to studies of the stellar mass and star formation, characterizing this fuel supply in galaxies as a function of cosmic epoch is still in its infancy. The ALMA facility now redefines our ability to map out the cosmic cold gas supply, essentially unknown at present. This ERC proposal is based on extensive approved observational ALMA programs, led by the PI: ASPECS is the first-ever approved ALMA large (150h) program, aimed at providing a comprehensive view of the baryon cycle from gas to stars over cosmic time. ASPECS will provide 3D molecular scans in two ALMA bands of the Hubble Ultra Deep Field -- the iconic cosmological deep field. A second focus is the detailed characterization of the molecular gas content at z>6 in host galaxies of the most distant quasars via ALMA. This will assess the role of cold gas in the build-up of the first (t_Universe < 1 Gyr) massive cosmic structures in the Universe, again through significant approved ALMA programs led by the PI’s group. The studies outlined here will fully capitalize on the unparalleled capabilities of ALMA to map out the cosmic gas supply through cosmic history, and will provide crucial insights to define observational strategies for JWST (the PI is member of the European JWST/MIRI science team). Through his track record, past achievements in the field of galaxy evolution studies, and through the available proprietary data, the PI is uniquely positioned to lead this ambitious program, which will define the global state-of-the-art in cosmological galaxy evolution through high-redshift ISM studies.
Max ERC Funding
2 457 500 €
Duration
Start date: 2017-11-01, End date: 2022-10-31
Project acronym EYELETS
Project A regenerative medicine approach in diabetes.
Researcher (PI) Per-Olof BERGGREN
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Advanced Grant (AdG), LS7, ERC-2018-ADG
Summary Pancreatic islet transplantation is essential for diabetes treatment. Outcome varies due to transplantation site, quality of islets and the fact that transplanted islets are affected by the same challenges as in situ islets. Tailor-making islets for transplantation by tissue engineering combined with a more favorable transplantation site that allows for both monitoring and local modulation of islet cells is thus instrumental. We have established the anterior chamber of the eye (ACE) as a favorable environment for long term survival of islet grafts and the cornea as a natural body window for non-invasive, longitudinal optical monitoring of islet function. ACE engrafted islets are able to maintain blood glucose homeostasis in diabetic animals. In addition to studies in non-human primates we are performing human clinical trials, the first patient already being transplanted. Tissue engineering of native islets is technically difficult. We will therefore apply genetically engineered islet organoids. This allows us to generate i) standardized material optimized for transplantation, function and survival, as well as ii) islet organoids suitable for monitoring (sensor islet organoids) and treating (metabolic islet organoids) insulin-dependent diabetes. We hypothesize that genetically engineered islet organoids transplanted to the ACE are superior to native pancreatic islets to monitor and treat insulin-dependent diabetes. Our overall aim is to create a platform allowing monitoring and treatment of insulin-dependent diabetes in mice that can be transferred to large animals for validation. The objective is to combine tissue engineering of islet cell organoids, transplantation to the ACE, synthetic biology, local pharmacological treatment strategies and the development of novel micro electronic/micro optical readout systems for islet cells. This regenerative medicine approach will follow our clinical trial programs and be transferred into the clinic to combat diabetes.
Summary
Pancreatic islet transplantation is essential for diabetes treatment. Outcome varies due to transplantation site, quality of islets and the fact that transplanted islets are affected by the same challenges as in situ islets. Tailor-making islets for transplantation by tissue engineering combined with a more favorable transplantation site that allows for both monitoring and local modulation of islet cells is thus instrumental. We have established the anterior chamber of the eye (ACE) as a favorable environment for long term survival of islet grafts and the cornea as a natural body window for non-invasive, longitudinal optical monitoring of islet function. ACE engrafted islets are able to maintain blood glucose homeostasis in diabetic animals. In addition to studies in non-human primates we are performing human clinical trials, the first patient already being transplanted. Tissue engineering of native islets is technically difficult. We will therefore apply genetically engineered islet organoids. This allows us to generate i) standardized material optimized for transplantation, function and survival, as well as ii) islet organoids suitable for monitoring (sensor islet organoids) and treating (metabolic islet organoids) insulin-dependent diabetes. We hypothesize that genetically engineered islet organoids transplanted to the ACE are superior to native pancreatic islets to monitor and treat insulin-dependent diabetes. Our overall aim is to create a platform allowing monitoring and treatment of insulin-dependent diabetes in mice that can be transferred to large animals for validation. The objective is to combine tissue engineering of islet cell organoids, transplantation to the ACE, synthetic biology, local pharmacological treatment strategies and the development of novel micro electronic/micro optical readout systems for islet cells. This regenerative medicine approach will follow our clinical trial programs and be transferred into the clinic to combat diabetes.
Max ERC Funding
2 500 000 €
Duration
Start date: 2020-01-01, End date: 2024-12-31
Project acronym GALFORMOD
Project Galaxy formation models for the next generation of evolutionary and cosmological surveys
Researcher (PI) Simon David Manton White
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Call Details Advanced Grant (AdG), PE9, ERC-2009-AdG
Summary Over the next decade, much effort on major astronomical facilities will be dedicated to large-scale surveys of the galaxy population. Their aim is two-fold: understanding the origin and evolution of galaxies and their central supermassive black holes, and clarifying the nature of dark matter, dark energy and the process that produced all cosmic structure. Achieving these goals will require powerful and flexible modelling tools that can simulate galaxy evolution in all viable cosmologies and under a wide variety of assumptions about the governing physical processes. Such capabilities do not currently exist. I propose to develop them through a major expansion of the functionality and scope of the Millennium Simulation archive. New simulations, new theoretical approaches and new web services will allow users to study galaxy formation across the full range of galaxy masses (from dwarf spheroidals to giant cDs). Remote users will be able to change parameters and modelling prescriptions at will, creating virtual surveys of universes with any chosen cosmology and galaxy formation model. Matching to multiwavelength surveys of real galaxies will make it possible to isolate the physical processes driving galaxy evolution, and to characterize the systematic errors that uncertain galaxy formation physics induce in precision estimates of cosmological parameters. Scientific problems where these new capabilities may be decisive in enabling progress include: the role of supermassive black holes in shaping galaxy formation; the origin of diversity in the forms of galaxies and in their nuclear activity; the effects of environment on galaxy structure; the formation history of our own Milky Way; the nature of the first galaxies and their effects on later and more easily observable generations of galaxies; the distribution and nature of dark matter; the origin of all cosmic structure; and the nature of dark energy.
Summary
Over the next decade, much effort on major astronomical facilities will be dedicated to large-scale surveys of the galaxy population. Their aim is two-fold: understanding the origin and evolution of galaxies and their central supermassive black holes, and clarifying the nature of dark matter, dark energy and the process that produced all cosmic structure. Achieving these goals will require powerful and flexible modelling tools that can simulate galaxy evolution in all viable cosmologies and under a wide variety of assumptions about the governing physical processes. Such capabilities do not currently exist. I propose to develop them through a major expansion of the functionality and scope of the Millennium Simulation archive. New simulations, new theoretical approaches and new web services will allow users to study galaxy formation across the full range of galaxy masses (from dwarf spheroidals to giant cDs). Remote users will be able to change parameters and modelling prescriptions at will, creating virtual surveys of universes with any chosen cosmology and galaxy formation model. Matching to multiwavelength surveys of real galaxies will make it possible to isolate the physical processes driving galaxy evolution, and to characterize the systematic errors that uncertain galaxy formation physics induce in precision estimates of cosmological parameters. Scientific problems where these new capabilities may be decisive in enabling progress include: the role of supermassive black holes in shaping galaxy formation; the origin of diversity in the forms of galaxies and in their nuclear activity; the effects of environment on galaxy structure; the formation history of our own Milky Way; the nature of the first galaxies and their effects on later and more easily observable generations of galaxies; the distribution and nature of dark matter; the origin of all cosmic structure; and the nature of dark energy.
Max ERC Funding
1 830 000 €
Duration
Start date: 2010-01-01, End date: 2014-12-31
Project acronym GENECADD
Project GEnetic NEtworks as a tool for anti-CAncer Drug Development
Researcher (PI) Ulf Thomas Edvard Helleday
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Advanced Grant (AdG), LS7, ERC-2010-AdG_20100317
Summary Although several therapies target cellular pathways, current small molecules drug discovery is based on identification of inhibitors to single proteins, without knowledge of whether they are the most advantageous target. The objective of this proposal is to develop a novel method for drug discovery, combining phenotypic cell based screens with functional genetic networks to determine the molecular mechanisms of numerous small molecule inhibitors. This method will enable identification of numerous distinct inhibitors of a particular pathway, as well as providing their molecular mechanism.
Cancer cells harbour gene mutations that make them more reliant on other cellular pathways for survival. Such cellular pathways can be targeted to selectively kill the cancer cells using the concept of synthetic lethality. In this project we want to identify inhibitors of homologous recombination to target cancer using synthetic lethality.
To establish a functional genetic network for homologous recombination, we will first identify all recombination proteins using multiple genome-wide RNAi screens. Then the synthetic sick or lethal interaction map between all recombination proteins is determined by co-depletion of these. Such synthetic sick or lethal network will identify numerous putative targets for anti-cancer treatment. Importantly, using this network for chemical-genetic functional interactions will assist in determinating of the molecular mechanisms of inhibitors. Chemical-genetic networks based on synthetic sickness or lethality can potentially change future drug discovery methods as well as providing new mechanistic insights into the field of toxicology.
Summary
Although several therapies target cellular pathways, current small molecules drug discovery is based on identification of inhibitors to single proteins, without knowledge of whether they are the most advantageous target. The objective of this proposal is to develop a novel method for drug discovery, combining phenotypic cell based screens with functional genetic networks to determine the molecular mechanisms of numerous small molecule inhibitors. This method will enable identification of numerous distinct inhibitors of a particular pathway, as well as providing their molecular mechanism.
Cancer cells harbour gene mutations that make them more reliant on other cellular pathways for survival. Such cellular pathways can be targeted to selectively kill the cancer cells using the concept of synthetic lethality. In this project we want to identify inhibitors of homologous recombination to target cancer using synthetic lethality.
To establish a functional genetic network for homologous recombination, we will first identify all recombination proteins using multiple genome-wide RNAi screens. Then the synthetic sick or lethal interaction map between all recombination proteins is determined by co-depletion of these. Such synthetic sick or lethal network will identify numerous putative targets for anti-cancer treatment. Importantly, using this network for chemical-genetic functional interactions will assist in determinating of the molecular mechanisms of inhibitors. Chemical-genetic networks based on synthetic sickness or lethality can potentially change future drug discovery methods as well as providing new mechanistic insights into the field of toxicology.
Max ERC Funding
2 500 000 €
Duration
Start date: 2011-03-01, End date: 2016-02-29
Project acronym GLOSTAR
Project A Global View of Star Formation in the Milky Way
Researcher (PI) Karl M. Menten
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Call Details Advanced Grant (AdG), PE9, ERC-2009-AdG
Summary Stars with more than about ten solar masses dominate galactic ecosystems and understanding the circumstances of their formation is one of the great challenges of modern astronomy. The spectacular HII regions they excite delineate the spiral arms of galaxies such as our own when seen face on making it clear that star formation and Galactic structure are intimately related. We propose to attain a Global View of Star Formation in the Milky Way in a powerful multi-pronged approach. Using VLBI observations of maser sources associated with young protostars, we will measure distances by trigonometric parallax to most of the dominant star forming regions in the Galaxy, which will reveal its spiral structure as well as faithfully represent the luminosity and masses of its constituents. A survey for submillimeter emission from dust, which we are presently pursuing, will deliver the locations of unseen deeply embedded protostars and protoclusters. We plan to combine this data with a comprehensive program to study the gaseous content of the protostellar regions and a very sensitive survey of the Galactic plane with the newly Expanded Very Large Array to find masers and hypercompact HII regions, pinpointing the very centers of the earliest star-forming activity. We also propose to study the infrared emission from more developed massive star clusters, deriving distance with the classic spectro-photometric method, properly calibrated with trigonometric parallaxes, and for the first time adapted to an extensive IR dataset. Our synoptic approach will utilize Europe s premier telescopes including ESO s VLT, the European VLBI Network, the APEX telescope, and ALMA to create a coherent, unique dataset with true legacy value for a global perspective on star formation in our Galaxy.
Summary
Stars with more than about ten solar masses dominate galactic ecosystems and understanding the circumstances of their formation is one of the great challenges of modern astronomy. The spectacular HII regions they excite delineate the spiral arms of galaxies such as our own when seen face on making it clear that star formation and Galactic structure are intimately related. We propose to attain a Global View of Star Formation in the Milky Way in a powerful multi-pronged approach. Using VLBI observations of maser sources associated with young protostars, we will measure distances by trigonometric parallax to most of the dominant star forming regions in the Galaxy, which will reveal its spiral structure as well as faithfully represent the luminosity and masses of its constituents. A survey for submillimeter emission from dust, which we are presently pursuing, will deliver the locations of unseen deeply embedded protostars and protoclusters. We plan to combine this data with a comprehensive program to study the gaseous content of the protostellar regions and a very sensitive survey of the Galactic plane with the newly Expanded Very Large Array to find masers and hypercompact HII regions, pinpointing the very centers of the earliest star-forming activity. We also propose to study the infrared emission from more developed massive star clusters, deriving distance with the classic spectro-photometric method, properly calibrated with trigonometric parallaxes, and for the first time adapted to an extensive IR dataset. Our synoptic approach will utilize Europe s premier telescopes including ESO s VLT, the European VLBI Network, the APEX telescope, and ALMA to create a coherent, unique dataset with true legacy value for a global perspective on star formation in our Galaxy.
Max ERC Funding
2 355 079 €
Duration
Start date: 2010-05-01, End date: 2015-04-30
Project acronym HEPASPHER
Project Mimicking liver disease and regeneration in vitro for drug development and liver transplantation
Researcher (PI) Magnus INGELMAN-SUNDBERG
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Advanced Grant (AdG), LS7, ERC-2016-ADG
Summary The liver is a vital organ for synthesis and detoxification. The most significant liver diseases are hepatitis, non alcoholic fatty liver disease (NAFLD), non-alcoholic fatty liver steatohepatitis (NASH), carcinoma and cirrhosis. An additional and important cause of liver injury is adverse drug reactions (ADRs). In particular NAFLD is the most common liver disease affecting between 20% and 44% of European adults and 43-70% of patients with type 2 diabetes, and is one prime cause for chronic and end-stage liver disease, such as cirrhosis and primary hepatocellular carcinoma.
This proposal is based on recent findings in the laboratory: The development of novel 3D spheroid system with chemically defined media allowing studies of chronic drug toxicity, relevant liver disease and liver function for 5 weeks in vitro, the finding of the role of miRNA in hepatocyte dedifferentiation and that hepatocytes during spheroid formation first de-differentiate but later in spheroids re-differentiate to an in vivo relevant phenotype. This forms the basis for the main objectives: i) to study diseased liver in vitro with identification of mechanisms, biomarkers and novel drug candidates for treatment of NAFLD and fibrosis, ii) evaluate drug toxicity sensitivity and mechanisms in diseased liver systems and iii) further develop methods for hepatocyte proliferation and regeneration in vitro for transplantation purposes, including genetic editing in cases of hepatocytes obtained from patients with genetically inherited liver diseases.
This work is carried out in close contact with the Hepatology unit at the Karolinska Hospital partly using resources at the Science for Life Laboratory at Karolinska. It is anticipated that the project can provide with novel mechanisms, biomarkers and new targets for treatment of liver disease as well as novel methods for clinically applicable liver regeneration without the use of stem cells or transformed cells.
Summary
The liver is a vital organ for synthesis and detoxification. The most significant liver diseases are hepatitis, non alcoholic fatty liver disease (NAFLD), non-alcoholic fatty liver steatohepatitis (NASH), carcinoma and cirrhosis. An additional and important cause of liver injury is adverse drug reactions (ADRs). In particular NAFLD is the most common liver disease affecting between 20% and 44% of European adults and 43-70% of patients with type 2 diabetes, and is one prime cause for chronic and end-stage liver disease, such as cirrhosis and primary hepatocellular carcinoma.
This proposal is based on recent findings in the laboratory: The development of novel 3D spheroid system with chemically defined media allowing studies of chronic drug toxicity, relevant liver disease and liver function for 5 weeks in vitro, the finding of the role of miRNA in hepatocyte dedifferentiation and that hepatocytes during spheroid formation first de-differentiate but later in spheroids re-differentiate to an in vivo relevant phenotype. This forms the basis for the main objectives: i) to study diseased liver in vitro with identification of mechanisms, biomarkers and novel drug candidates for treatment of NAFLD and fibrosis, ii) evaluate drug toxicity sensitivity and mechanisms in diseased liver systems and iii) further develop methods for hepatocyte proliferation and regeneration in vitro for transplantation purposes, including genetic editing in cases of hepatocytes obtained from patients with genetically inherited liver diseases.
This work is carried out in close contact with the Hepatology unit at the Karolinska Hospital partly using resources at the Science for Life Laboratory at Karolinska. It is anticipated that the project can provide with novel mechanisms, biomarkers and new targets for treatment of liver disease as well as novel methods for clinically applicable liver regeneration without the use of stem cells or transformed cells.
Max ERC Funding
2 413 449 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym HERA
Project Host-environment interactions in the protection from asthma and allergies
Researcher (PI) Erika Von Mutius
Host Institution (HI) LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Call Details Advanced Grant (AdG), LS7, ERC-2009-AdG
Summary Asthma and allergies are chronic conditions affecting billions of Europeans. These complex diseases are determined by interplay of genetic and environmental factors. Treatments can control symptoms, but cannot cure or prevent the diseases. I, and my team, have shown that children are strongly protected from asthma and allergies when growing up in a farming environment rich in microbial exposures: the prevalence of asthma and hay fever is reduced over 5 fold. We have shown that environmental exposure to microbial compounds is inversely related to asthma and allergies. We have isolated microbes from animal sheds which protect mice from allergic airway inflammation. My team is now at a critical point to move this work forward to the next step, which is to systematically identify the microbes and their immuno-stimulatory compounds that protect from asthma and allergies. We have key resources in hand. In previous population based studies large numbers of environmental samples from farm and non farm children with and without asthma and allergies have been stored in biobanks. Genome wide genotyping data have also been gathered. The HERA project aims at applying the latest innovative high throughput sequencing techniques to comprehensively characterize the microbial ecology of these environmental samples. New methods for assessing microbial immuno-stimulatory substances will be used. These innovations will allow the HERA team to identify distinct asthma and allergy protective microbial exposures taking each individual s genetic susceptibility into account. Once protective microbial exposures have been identified, the responsible substances can be isolated. These substances can be developed into novel and effective prevention strategies to combat the asthma and allergy epidemic.
Summary
Asthma and allergies are chronic conditions affecting billions of Europeans. These complex diseases are determined by interplay of genetic and environmental factors. Treatments can control symptoms, but cannot cure or prevent the diseases. I, and my team, have shown that children are strongly protected from asthma and allergies when growing up in a farming environment rich in microbial exposures: the prevalence of asthma and hay fever is reduced over 5 fold. We have shown that environmental exposure to microbial compounds is inversely related to asthma and allergies. We have isolated microbes from animal sheds which protect mice from allergic airway inflammation. My team is now at a critical point to move this work forward to the next step, which is to systematically identify the microbes and their immuno-stimulatory compounds that protect from asthma and allergies. We have key resources in hand. In previous population based studies large numbers of environmental samples from farm and non farm children with and without asthma and allergies have been stored in biobanks. Genome wide genotyping data have also been gathered. The HERA project aims at applying the latest innovative high throughput sequencing techniques to comprehensively characterize the microbial ecology of these environmental samples. New methods for assessing microbial immuno-stimulatory substances will be used. These innovations will allow the HERA team to identify distinct asthma and allergy protective microbial exposures taking each individual s genetic susceptibility into account. Once protective microbial exposures have been identified, the responsible substances can be isolated. These substances can be developed into novel and effective prevention strategies to combat the asthma and allergy epidemic.
Max ERC Funding
2 155 697 €
Duration
Start date: 2010-05-01, End date: 2015-04-30
Project acronym HIDDeN
Project HIDDeN - Exploring the Hidden Dusty Nuclei of Galaxies
Researcher (PI) Eva Susanne AALTO
Host Institution (HI) CHALMERS TEKNISKA HOEGSKOLA AB
Call Details Advanced Grant (AdG), PE9, ERC-2017-ADG
Summary Luminous infrared galaxies (LIRGs) emit most of their bolometric luminosity in the far-infrared. They are mainly powered by extreme bursts of star formation and/or Active Galactic Nuclei (AGNs; accreting supermassive black holes (SMBHs)) in their centres. LIRGs are the closest examples of rapid evolution in galaxies and a detailed study of LIRGs is critical for our understanding of the cosmic evolution of galaxies and SMBHs. Centres of some LIRGs are deeply obscured and unreachable at optical, IR and even X-ray wavelengths. These hidden nuclei therefore represent a largely unexplored phase of the growth of central regions with their SMBHs. Large growth spurts are suspected to occur when the SMBHs are deeply embedded. Obscured AGNs thus can provide new constraints on the AGN duty cycle, give the full range of environments and astrophysical processes that drive the growth of SMBHs, and help to complete the picture of connections between the host galaxy and SMBH. Many dust embedded AGNs are still to be discovered as studies suggest that a significant fraction of SMBHs may be obscured in the local and more distant Universe.
In the HIDDeN project we use mm and submm observational methods to reach behind the curtain of dust in the most embedded centres of LIRGs, allowing us to undertake ground-breaking studies of heretofore hidden rapid evolutionary phases of nearby galaxy nuclei. HIDDeN takes advantage of emerging opportunities to address the nature of near-field, and redshift z=1-2, obscured AGNs/starbursts and their associated molecular inflows and outflows in the context of their evolution and the starburst-AGN connection. In particular we use the ALMA and NOEMA telescopes, supported by JVLA, LOFAR, HST and future JWST observations, to address four interconnected goals: A. Probing the Dusty Interiors of Compact Obscured Nuclei (CONs), B. The cold winds of change - Molecular Outflows from LIRGs and AGNs, C. The Co-Evolution of Starbursts and AGNs and D. Are there hidden CONs at z=1-2
Summary
Luminous infrared galaxies (LIRGs) emit most of their bolometric luminosity in the far-infrared. They are mainly powered by extreme bursts of star formation and/or Active Galactic Nuclei (AGNs; accreting supermassive black holes (SMBHs)) in their centres. LIRGs are the closest examples of rapid evolution in galaxies and a detailed study of LIRGs is critical for our understanding of the cosmic evolution of galaxies and SMBHs. Centres of some LIRGs are deeply obscured and unreachable at optical, IR and even X-ray wavelengths. These hidden nuclei therefore represent a largely unexplored phase of the growth of central regions with their SMBHs. Large growth spurts are suspected to occur when the SMBHs are deeply embedded. Obscured AGNs thus can provide new constraints on the AGN duty cycle, give the full range of environments and astrophysical processes that drive the growth of SMBHs, and help to complete the picture of connections between the host galaxy and SMBH. Many dust embedded AGNs are still to be discovered as studies suggest that a significant fraction of SMBHs may be obscured in the local and more distant Universe.
In the HIDDeN project we use mm and submm observational methods to reach behind the curtain of dust in the most embedded centres of LIRGs, allowing us to undertake ground-breaking studies of heretofore hidden rapid evolutionary phases of nearby galaxy nuclei. HIDDeN takes advantage of emerging opportunities to address the nature of near-field, and redshift z=1-2, obscured AGNs/starbursts and their associated molecular inflows and outflows in the context of their evolution and the starburst-AGN connection. In particular we use the ALMA and NOEMA telescopes, supported by JVLA, LOFAR, HST and future JWST observations, to address four interconnected goals: A. Probing the Dusty Interiors of Compact Obscured Nuclei (CONs), B. The cold winds of change - Molecular Outflows from LIRGs and AGNs, C. The Co-Evolution of Starbursts and AGNs and D. Are there hidden CONs at z=1-2
Max ERC Funding
2 496 319 €
Duration
Start date: 2018-10-01, End date: 2023-09-30
Project acronym HOME
Project Habitability of Martian Environments: Exploring the Physiological and Environmental Limits of Life
Researcher (PI) Dirk Schulze-Makuch
Host Institution (HI) TECHNISCHE UNIVERSITAT BERLIN
Call Details Advanced Grant (AdG), PE9, ERC-2013-ADG
Summary The low average temperature and low water activity of the Martian near-surface environment makes it challenging for living organisms to persist and propagate. Nonetheless, recent mission results indicate that environmental conditions exceed locally and temporarily the lower thresholds for life to exist. Furthermore, specific soil minerals, or combinations thereof, appear to provide a suitable habitat for microbial life, especially if associated with low-temperature brines or hygroscopic salts. Thus, a quantitative understanding of the habitability potential of the Martian near-surface environment, past and present, is very much needed and the focus of this proposal. To achieve this objective, we will test different types of soils and some of Earth’s hardiest organisms, using them as models (‘Mars-analogues’), to see if they can survive and perhaps even grow under the various environmental stresses known to exist on Mars. A major tool of our laboratory investigations will be the experimentally proven state-of-the-art Mars Simulation Chamber at the German AeroSpace Center, to which various soils materials and microorganisms will be exposed. The planned experimental investigations and models will be concurrently updated by analyzed mission data, particularly from landers and rovers (e.g., Curiosity Rover), to adjust our work to the newest Martian geochemical and environmental data available. Results from our proposed work will timely provide critical scientific knowledge to interpret incoming data from ESA’s ExoMars mission, which is scheduled for launch in 2016/2018. As one important deliverable of our work we will also construct a Mars Soil Analyzer, an instrument which will be designed for a future mission to Mars with the objective to achieve Technology Readiness Level 6 at the completion of the proposed study.
Summary
The low average temperature and low water activity of the Martian near-surface environment makes it challenging for living organisms to persist and propagate. Nonetheless, recent mission results indicate that environmental conditions exceed locally and temporarily the lower thresholds for life to exist. Furthermore, specific soil minerals, or combinations thereof, appear to provide a suitable habitat for microbial life, especially if associated with low-temperature brines or hygroscopic salts. Thus, a quantitative understanding of the habitability potential of the Martian near-surface environment, past and present, is very much needed and the focus of this proposal. To achieve this objective, we will test different types of soils and some of Earth’s hardiest organisms, using them as models (‘Mars-analogues’), to see if they can survive and perhaps even grow under the various environmental stresses known to exist on Mars. A major tool of our laboratory investigations will be the experimentally proven state-of-the-art Mars Simulation Chamber at the German AeroSpace Center, to which various soils materials and microorganisms will be exposed. The planned experimental investigations and models will be concurrently updated by analyzed mission data, particularly from landers and rovers (e.g., Curiosity Rover), to adjust our work to the newest Martian geochemical and environmental data available. Results from our proposed work will timely provide critical scientific knowledge to interpret incoming data from ESA’s ExoMars mission, which is scheduled for launch in 2016/2018. As one important deliverable of our work we will also construct a Mars Soil Analyzer, an instrument which will be designed for a future mission to Mars with the objective to achieve Technology Readiness Level 6 at the completion of the proposed study.
Max ERC Funding
2 494 215 €
Duration
Start date: 2014-08-01, End date: 2019-07-31
Project acronym HotMol
Project Hot Molecules in Exoplanets and Inner Disks
Researcher (PI) Svetlana Berdyugina
Host Institution (HI) LEIBNIZ-INSTITUT FÜR SONNENPHYSIK (KIS)
Call Details Advanced Grant (AdG), PE9, ERC-2011-ADG_20110209
Summary Understanding the nature and distribution of habitable environments in the Universe is one of the fundamental goals of modern astrophysics. For the life we know, liquid water on the planetary surface is a prerequisite. However, a direct detection of liquid water on exoplanets, and especially on a potentially habitable Earth-size planet, is not yet possible. The existence of water almost certainly implies the presence of atmospheric water vapour which must evaporate under stellar irradiation from a cloud deck or from the surface, together with other related molecules. Therefore, devising sensitive methods to detect hot molecules on exoplanets is of high importance. This proposal develops several exploratory theoretical and observational aspects of precision spectropolarimetry for detecting water vapour and other volatiles on exoplanets and in the inner part of protoplanetary disks. These are new tools for making progress in our understanding which fraction of planets acquires water and how planet formation influences their habitability. As a “double differential” technique, spectropolarimetry has enormous advantages for dynamic range problems, like detection of weak line signals against a large stellar background and exploration at scales beyond the angular resolution of telescopes, which are crucial for both exoplanets and inner disks. Direct detection of polarized spectral lines enables recovering precise orbits of exoplanets (including non-transiting systems) and evaluating their masses as well as potentially their magnetic fields. First applied to hot Jupiters the developed tools will create a firm foundation for future exploration of Earth-like planets with larger telescopes. The same technique applied to planetesimals in the inner disks of young stars yields their orbits, temperature, and chemical composition. These will provide constraints on the formation of a planetary atmosphere in the vicinity of the star and its habitable zone.
Summary
Understanding the nature and distribution of habitable environments in the Universe is one of the fundamental goals of modern astrophysics. For the life we know, liquid water on the planetary surface is a prerequisite. However, a direct detection of liquid water on exoplanets, and especially on a potentially habitable Earth-size planet, is not yet possible. The existence of water almost certainly implies the presence of atmospheric water vapour which must evaporate under stellar irradiation from a cloud deck or from the surface, together with other related molecules. Therefore, devising sensitive methods to detect hot molecules on exoplanets is of high importance. This proposal develops several exploratory theoretical and observational aspects of precision spectropolarimetry for detecting water vapour and other volatiles on exoplanets and in the inner part of protoplanetary disks. These are new tools for making progress in our understanding which fraction of planets acquires water and how planet formation influences their habitability. As a “double differential” technique, spectropolarimetry has enormous advantages for dynamic range problems, like detection of weak line signals against a large stellar background and exploration at scales beyond the angular resolution of telescopes, which are crucial for both exoplanets and inner disks. Direct detection of polarized spectral lines enables recovering precise orbits of exoplanets (including non-transiting systems) and evaluating their masses as well as potentially their magnetic fields. First applied to hot Jupiters the developed tools will create a firm foundation for future exploration of Earth-like planets with larger telescopes. The same technique applied to planetesimals in the inner disks of young stars yields their orbits, temperature, and chemical composition. These will provide constraints on the formation of a planetary atmosphere in the vicinity of the star and its habitable zone.
Max ERC Funding
2 436 000 €
Duration
Start date: 2012-04-01, End date: 2017-03-31
Project acronym ImageLink
Project Multiparametric tumor imaging and beyond: Towards understanding in vivo signals
Researcher (PI) Bernd Jürgen Pichler
Host Institution (HI) EBERHARD KARLS UNIVERSITAET TUEBINGEN
Call Details Advanced Grant (AdG), LS7, ERC-2012-ADG_20120314
Summary Non-invasive preclinical and clinical imaging is a powerful tool and has a huge potential, specifically in the realm of oncology. Recently, our laboratory developed a novel multimodality imaging system, which combines positron emission tomography (PET) and magnetic resonance imaging (MRI), yielding temporally and spatially matched data. However, the molecular PET and functional MRI signals are very complex and are often not fully understood. Thus, we will cross-validate the complementary PET/MRI information with proteomics and metabolomics data to gain a better understanding of the in vivo image data and yield finally an accurate holistic tumor profile. The cross-validation will be supported by image-guided accurately dissected tumor substructures. Tumor metabolism, receptor status, hypoxia, perfusion, apoptosis and angiogenesis will be investigated by established PET tracers. In the same imaging session, functional parameters of the tumor, such as perfusion, oxygenation and morphology will be assessed by MRI. Beyond this, novel imaging ligands for senescence, tumor stroma, and fatty acid synthase, which have been recently recognized as emerging key-players in tumor progression and therapy resistance, will be developed. The individual in vivo and in vitro parameters will be fed into a data mining utilizing a computer learning approach with regression and classification methods to detect common patterns and the related pharmacokinetics behind the in vivo imaging parameters. Analysis of the dynamic PET data will be performed by compartment analysis and kinetic modelling. Overall aim is to gain a better understanding of imaging data, provide an accurate holistic in vivo tumor profile to support prognostic parameters for tumor progression and therapy response. Finally, the revealed information will lead to a more accurate selection of imaging biomarkers for diagnosis and therapy control and will provide input for new strategies in tumor-specific tracer development.
Summary
Non-invasive preclinical and clinical imaging is a powerful tool and has a huge potential, specifically in the realm of oncology. Recently, our laboratory developed a novel multimodality imaging system, which combines positron emission tomography (PET) and magnetic resonance imaging (MRI), yielding temporally and spatially matched data. However, the molecular PET and functional MRI signals are very complex and are often not fully understood. Thus, we will cross-validate the complementary PET/MRI information with proteomics and metabolomics data to gain a better understanding of the in vivo image data and yield finally an accurate holistic tumor profile. The cross-validation will be supported by image-guided accurately dissected tumor substructures. Tumor metabolism, receptor status, hypoxia, perfusion, apoptosis and angiogenesis will be investigated by established PET tracers. In the same imaging session, functional parameters of the tumor, such as perfusion, oxygenation and morphology will be assessed by MRI. Beyond this, novel imaging ligands for senescence, tumor stroma, and fatty acid synthase, which have been recently recognized as emerging key-players in tumor progression and therapy resistance, will be developed. The individual in vivo and in vitro parameters will be fed into a data mining utilizing a computer learning approach with regression and classification methods to detect common patterns and the related pharmacokinetics behind the in vivo imaging parameters. Analysis of the dynamic PET data will be performed by compartment analysis and kinetic modelling. Overall aim is to gain a better understanding of imaging data, provide an accurate holistic in vivo tumor profile to support prognostic parameters for tumor progression and therapy response. Finally, the revealed information will lead to a more accurate selection of imaging biomarkers for diagnosis and therapy control and will provide input for new strategies in tumor-specific tracer development.
Max ERC Funding
2 494 800 €
Duration
Start date: 2013-06-01, End date: 2018-05-31
Project acronym INDIVUHEART
Project Individualized early risk assessment for heart diseases
Researcher (PI) Thomas Hans Eschenhagen
Host Institution (HI) UNIVERSITAETSKLINIKUM HAMBURG-EPPENDORF
Call Details Advanced Grant (AdG), LS7, ERC-2013-ADG
Summary Heart failure (HF) is the common end-stage of different medical conditions. It is the only growing cardiovascular disease and its prognosis remains worse than that of many malignancies. The lack of evidence-based treatment for patients with diastolic HF (HFpEF) exemplifies that the current “one for all” therapy has to be advanced by an individualized approach. Inherited cardiomyopathies can serve as paradigmatic examples of different HF pathogenesis. Both gain- and loss-of-function mutations of the same gene cause disease, calling for disease-specific agonism or antagonism of this gene´s function. However, mutations alone do not predict the severity of cardiomyopathies nor therapy, because their impact on cardiac myocyte function is modified by numerous factors, including the genetic context. Today, patient-specific cardiac myocytes can be evaluated by the induced pluripotent stem cell (hiPSC) technology. Yet, unfolding the true potential of this technology requires robust, quantitative, high content assays. Our recently developed method to generate 3D-engineered heart tissue (EHT) from hiPSC provide an automated, high content analysis of heart muscle function and the response to stressors in the dish. The aim of this project is to make the technology a clinically applicable test. Major steps are (i) in depths clinical phenotyping and genotyping of patients with cardiomyopathies or HFpEF, (ii) follow-up of the clinical course, (iii) generation of hiPSC lines (40 patients, 40 healthy controls), and (iv) quantitative assessment of hiPSC-EHT function under basal conditions and in response to pro-arrhythmic or cardio-active drugs and chronic afterload enhancement. The product of this study is an SOP-based assay with standard values for hiPSC-EHT function/stress responses from healthy volunteers and patients with different heart diseases. The project could change clinical practice and be a step towards individualized risk prediction and therapy of HF.
Summary
Heart failure (HF) is the common end-stage of different medical conditions. It is the only growing cardiovascular disease and its prognosis remains worse than that of many malignancies. The lack of evidence-based treatment for patients with diastolic HF (HFpEF) exemplifies that the current “one for all” therapy has to be advanced by an individualized approach. Inherited cardiomyopathies can serve as paradigmatic examples of different HF pathogenesis. Both gain- and loss-of-function mutations of the same gene cause disease, calling for disease-specific agonism or antagonism of this gene´s function. However, mutations alone do not predict the severity of cardiomyopathies nor therapy, because their impact on cardiac myocyte function is modified by numerous factors, including the genetic context. Today, patient-specific cardiac myocytes can be evaluated by the induced pluripotent stem cell (hiPSC) technology. Yet, unfolding the true potential of this technology requires robust, quantitative, high content assays. Our recently developed method to generate 3D-engineered heart tissue (EHT) from hiPSC provide an automated, high content analysis of heart muscle function and the response to stressors in the dish. The aim of this project is to make the technology a clinically applicable test. Major steps are (i) in depths clinical phenotyping and genotyping of patients with cardiomyopathies or HFpEF, (ii) follow-up of the clinical course, (iii) generation of hiPSC lines (40 patients, 40 healthy controls), and (iv) quantitative assessment of hiPSC-EHT function under basal conditions and in response to pro-arrhythmic or cardio-active drugs and chronic afterload enhancement. The product of this study is an SOP-based assay with standard values for hiPSC-EHT function/stress responses from healthy volunteers and patients with different heart diseases. The project could change clinical practice and be a step towards individualized risk prediction and therapy of HF.
Max ERC Funding
2 494 728 €
Duration
Start date: 2014-06-01, End date: 2019-05-31
Project acronym INJURMET
Project Impact of tissue injury induced by diagnostic biopsies and surgery on cancer metastasis
Researcher (PI) Klaus Pantel
Host Institution (HI) UNIVERSITAETSKLINIKUM HAMBURG-EPPENDORF
Call Details Advanced Grant (AdG), LS7, ERC-2018-ADG
Summary Background: Blood-borne metastasis of malignant cells from the primary lesion to distant organs is the major cause of cancer-related death. Most cancer patients face tissue injury at initial diagnosis when tumor tissue is obtained by biopsies to secure the diagnosis of cancer and at primary surgery required to remove the primary tumor.
Objectives: We will evaluate whether tissue injury contributes to a significant blood-borne dissemination of viable tumor cells, which is one of the most under-investigated areas in cancer research. We will focus on the two most frequent malignancies in women (breast cancer) and men (prostate cancer) that occur in the in European Union with incidence rates of 139.5 and 139.0 cases per 100,000, respectively. The current project will study the extent of the release of tumor cells into the blood circulation after needle tissue biopsies and primary surgery, the characteristics of the released tumor cells and the contribution of this release to cancer progression. Moreover, we will assess therapeutic strategies to block extravasation of circulating tumor cells (CTCs) to distant sites. As experimental approach, we will apply novel technologies for capturing CTCs and for determining their molecular characteristics in cancer patients as well as experimental models that are able to determine the functional properties of CTCs.
Impact: The results will have an important impact on medical practice. If biopsies would contribute to tumor progression, it might be a strong driving force for the development of better imaging modalities or “liquid biopsy” assays of peripheral blood that can diagnose cancer through the detection of CTCs or tumor cell products such as circulating nucleic acids (DNA, microRNA), exosomes or tumor-educated platelets. Moreover, short-term pharmacologic inhibition of extravasation might be able to prevent the extravasation of injury-released CTCs and reduce the risk of metastasis.
Summary
Background: Blood-borne metastasis of malignant cells from the primary lesion to distant organs is the major cause of cancer-related death. Most cancer patients face tissue injury at initial diagnosis when tumor tissue is obtained by biopsies to secure the diagnosis of cancer and at primary surgery required to remove the primary tumor.
Objectives: We will evaluate whether tissue injury contributes to a significant blood-borne dissemination of viable tumor cells, which is one of the most under-investigated areas in cancer research. We will focus on the two most frequent malignancies in women (breast cancer) and men (prostate cancer) that occur in the in European Union with incidence rates of 139.5 and 139.0 cases per 100,000, respectively. The current project will study the extent of the release of tumor cells into the blood circulation after needle tissue biopsies and primary surgery, the characteristics of the released tumor cells and the contribution of this release to cancer progression. Moreover, we will assess therapeutic strategies to block extravasation of circulating tumor cells (CTCs) to distant sites. As experimental approach, we will apply novel technologies for capturing CTCs and for determining their molecular characteristics in cancer patients as well as experimental models that are able to determine the functional properties of CTCs.
Impact: The results will have an important impact on medical practice. If biopsies would contribute to tumor progression, it might be a strong driving force for the development of better imaging modalities or “liquid biopsy” assays of peripheral blood that can diagnose cancer through the detection of CTCs or tumor cell products such as circulating nucleic acids (DNA, microRNA), exosomes or tumor-educated platelets. Moreover, short-term pharmacologic inhibition of extravasation might be able to prevent the extravasation of injury-released CTCs and reduce the risk of metastasis.
Max ERC Funding
2 499 985 €
Duration
Start date: 2019-08-01, End date: 2024-07-31
Project acronym ISIS
Project Identification and targeting of somatic changes initiating sporadic cancers
Researcher (PI) Christoph Klein
Host Institution (HI) UNIVERSITAET REGENSBURG
Call Details Advanced Grant (AdG), LS7, ERC-2012-ADG_20120314
Summary Cancer drugs are extremely ineffective, generally because current therapies do not address cellular heterogeneity. While hypothesis-driven research and functional genomics identify ever more novel putative therapeutic targets, the scientific community lacks rationales to attack the cellular heterogeneity in cancer, to select among the targets the most promising, and to design combination therapies. In particular, these all fail to provide successful adjuvant therapy settings after curative resection of the primary tumour before the onset of manifest metastasis.
Here I propose a novel way to address cancer cell heterogeneity and to develop a rationale for the design of adjuvant therapies. The proposal rests upon the premises that (i) cancer initiation is causally associated with genetic changes, (ii) early, functionally relevant genetic changes -particularly involving DNA loss- have the highest probability to be shared among the progeny of a monoclonal, yet genetically unstable, cancer, and (iii) subsequent, cumulative genetic changes must either add to the fitness of the cell or at least be neutral to enable progression. The proposal is then built upon our observation that a subgroup of disseminated cancer cells (DCCs) displays normal karyotypes and DNA changes smaller than 10 Mb whilst primary tumours and more advanced DCCs harbour multiple additional chromosomal changes at the time of analysis. I suggest that although these karyotypically normal DCCs are the putative “loser cells” in cancer progression - since they are arrested in bone marrow - they are central to uncovering the early genetic changes of an individual cancer. With these cells we will identify for the first time the catalogue of initiating changes of sporadic cancers in a systematic way. We will then test the function of the early aberrations and perform functional viability screens to develop novel systemic therapies that target the Achilles’ heel of a given cancer: its shared critical alteration.
Summary
Cancer drugs are extremely ineffective, generally because current therapies do not address cellular heterogeneity. While hypothesis-driven research and functional genomics identify ever more novel putative therapeutic targets, the scientific community lacks rationales to attack the cellular heterogeneity in cancer, to select among the targets the most promising, and to design combination therapies. In particular, these all fail to provide successful adjuvant therapy settings after curative resection of the primary tumour before the onset of manifest metastasis.
Here I propose a novel way to address cancer cell heterogeneity and to develop a rationale for the design of adjuvant therapies. The proposal rests upon the premises that (i) cancer initiation is causally associated with genetic changes, (ii) early, functionally relevant genetic changes -particularly involving DNA loss- have the highest probability to be shared among the progeny of a monoclonal, yet genetically unstable, cancer, and (iii) subsequent, cumulative genetic changes must either add to the fitness of the cell or at least be neutral to enable progression. The proposal is then built upon our observation that a subgroup of disseminated cancer cells (DCCs) displays normal karyotypes and DNA changes smaller than 10 Mb whilst primary tumours and more advanced DCCs harbour multiple additional chromosomal changes at the time of analysis. I suggest that although these karyotypically normal DCCs are the putative “loser cells” in cancer progression - since they are arrested in bone marrow - they are central to uncovering the early genetic changes of an individual cancer. With these cells we will identify for the first time the catalogue of initiating changes of sporadic cancers in a systematic way. We will then test the function of the early aberrations and perform functional viability screens to develop novel systemic therapies that target the Achilles’ heel of a given cancer: its shared critical alteration.
Max ERC Funding
2 499 982 €
Duration
Start date: 2013-03-01, End date: 2018-02-28
Project acronym LiverFibrosisImaging
Project Quantitative Imaging of Liver Fibrosis and Fibrogenesis
Researcher (PI) Detlef Schuppan
Host Institution (HI) UNIVERSITAETSMEDIZIN DER JOHANNES GUTENBERG-UNIVERSITAET MAINZ
Call Details Advanced Grant (AdG), LS7, ERC-2011-ADG_20110310
Summary Chronic liver disease can progress to cirrhosis, with death due to liver failure and cancer. Cirrhosis prevalence in the EU is 0.5%-1%. However, development of therapies that prevent progression to cirrhosis is hampered by the lack of a sensitive, non-invasive method to quantify fibrosis or fibrosis progression (fibrogenesis). Liver biopsy 1) is risky, 2) shows high sampling variability, and 3) is too insensitive to assess fibrosis progression in clinical studies. Conventional radiological imaging, serum markers, and ultrasound- or MR-elastography do neither permit exact fibrosis nor any fibrogenesis measurement.
We plan to develop a clinically applicable methodology to quantitate fibrosis and fibrogenesis over the whole liver using imaging agents that target and thus quantify abundant fibrillar collagen or key cells that drive fibrogenesis (activated myofibroblasts and cholangiocytes). We demonstrated the feasibility of this approach using radiolabeled conjugates of high affinity that target integrin alphaVbeta6 and PDGFbeta receptor that are cell surface molecules of activated cholangiocytes and myofibroblasts. i.v. injection of the integrin conjugate allowed quantitative imaging of alphaVbeta6 expression and correlated with whole liver fibrogenesis. We intend to optimize nonpeptide and peptide ligands for integrin alphaVbeta6, PDGF beta receptor and fibrillar collagens using novel linkers and oligomerization, using PET-radioimaging with Ga-68, Sc-44 and F-18. The targeted imaging constructs will be validated in vivo using established rodent models with defined liver fibrosis and fibrogenesis, with and without antifibrotic drug therapy. Translation to phase I and II clinical studies is planned in years 4-5 of the project.
The technology will for the first time allow for 1. individual risk assessment of fibrosis progression, and 2. rapid testing of antifibrotic drugs and their combinations in small groups of individual patients.
Summary
Chronic liver disease can progress to cirrhosis, with death due to liver failure and cancer. Cirrhosis prevalence in the EU is 0.5%-1%. However, development of therapies that prevent progression to cirrhosis is hampered by the lack of a sensitive, non-invasive method to quantify fibrosis or fibrosis progression (fibrogenesis). Liver biopsy 1) is risky, 2) shows high sampling variability, and 3) is too insensitive to assess fibrosis progression in clinical studies. Conventional radiological imaging, serum markers, and ultrasound- or MR-elastography do neither permit exact fibrosis nor any fibrogenesis measurement.
We plan to develop a clinically applicable methodology to quantitate fibrosis and fibrogenesis over the whole liver using imaging agents that target and thus quantify abundant fibrillar collagen or key cells that drive fibrogenesis (activated myofibroblasts and cholangiocytes). We demonstrated the feasibility of this approach using radiolabeled conjugates of high affinity that target integrin alphaVbeta6 and PDGFbeta receptor that are cell surface molecules of activated cholangiocytes and myofibroblasts. i.v. injection of the integrin conjugate allowed quantitative imaging of alphaVbeta6 expression and correlated with whole liver fibrogenesis. We intend to optimize nonpeptide and peptide ligands for integrin alphaVbeta6, PDGF beta receptor and fibrillar collagens using novel linkers and oligomerization, using PET-radioimaging with Ga-68, Sc-44 and F-18. The targeted imaging constructs will be validated in vivo using established rodent models with defined liver fibrosis and fibrogenesis, with and without antifibrotic drug therapy. Translation to phase I and II clinical studies is planned in years 4-5 of the project.
The technology will for the first time allow for 1. individual risk assessment of fibrosis progression, and 2. rapid testing of antifibrotic drugs and their combinations in small groups of individual patients.
Max ERC Funding
2 454 604 €
Duration
Start date: 2012-08-01, End date: 2017-07-31
Project acronym META-GROWTH
Project Metabolic regulation of growth and body composition: key modulators of long-term health
Researcher (PI) Berthold Koletzko
Host Institution (HI) LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Call Details Advanced Grant (AdG), LS7, ERC-2012-ADG_20120314
Summary Nutrient exposure during pregnancy and childhood strongly affects growth and induces persistent metabolic programming of lifelong health. Recent data show that obesity and related disorders are induced by both fast childhood weight gain, and by formula feeding that promotes higher weight gain than breastfeeding. Lower protein in infant formula at levels similar to breast milk normalizes early weight gain and reduces later obesity risk as much as 2.5fold. Optimizing growth through improved substrate supply is of major importance for health prevention, but information is lacking on key mediators, effects on body composition and mechanisms of action, e.g. epigenetic modification. We use innovative approaches to identify key substrates that may mediate growth and body composition in humans, e.g. branched chain amino acids, n-6 polyunsaturated fatty acids, and others, and their epigenetic effects. We employ novel methods for high throughput targeted metabolomic and lipidomic profiling, genome-wide DNA methylation analysis, and state of the art bioinformatics. These powerful tools are applied to five well designed prospective cohort studies covering critical time periods from pregnancy to puberty. All cohorts offer precise phenotyping incl. body composition and are already or will be established. Comparative analyses across studies and populations provide added scientific value. We will identify which metabolic signals induce rapid weight gain and body fat deposition throughout childhood. We aim at identifying susceptible age periods, nutrient effects on epigenetic DNA methylation, and whether early metabolic exposures induce persistent or fluid metabolomic and epigenetic changes over time. The results should provide answers to key questions on the regulation of growth, with major benefit for scientific understanding, opportunities for future research, promotion of public health, nutrition recommendations, and development of improved food products.
Summary
Nutrient exposure during pregnancy and childhood strongly affects growth and induces persistent metabolic programming of lifelong health. Recent data show that obesity and related disorders are induced by both fast childhood weight gain, and by formula feeding that promotes higher weight gain than breastfeeding. Lower protein in infant formula at levels similar to breast milk normalizes early weight gain and reduces later obesity risk as much as 2.5fold. Optimizing growth through improved substrate supply is of major importance for health prevention, but information is lacking on key mediators, effects on body composition and mechanisms of action, e.g. epigenetic modification. We use innovative approaches to identify key substrates that may mediate growth and body composition in humans, e.g. branched chain amino acids, n-6 polyunsaturated fatty acids, and others, and their epigenetic effects. We employ novel methods for high throughput targeted metabolomic and lipidomic profiling, genome-wide DNA methylation analysis, and state of the art bioinformatics. These powerful tools are applied to five well designed prospective cohort studies covering critical time periods from pregnancy to puberty. All cohorts offer precise phenotyping incl. body composition and are already or will be established. Comparative analyses across studies and populations provide added scientific value. We will identify which metabolic signals induce rapid weight gain and body fat deposition throughout childhood. We aim at identifying susceptible age periods, nutrient effects on epigenetic DNA methylation, and whether early metabolic exposures induce persistent or fluid metabolomic and epigenetic changes over time. The results should provide answers to key questions on the regulation of growth, with major benefit for scientific understanding, opportunities for future research, promotion of public health, nutrition recommendations, and development of improved food products.
Max ERC Funding
2 491 200 €
Duration
Start date: 2013-10-01, End date: 2018-09-30