Project acronym 321
Project from Cubic To Linear complexity in computational electromagnetics
Researcher (PI) Francesco Paolo ANDRIULLI
Host Institution (HI) POLITECNICO DI TORINO
Country Italy
Call Details Consolidator Grant (CoG), PE7, ERC-2016-COG
Summary Computational Electromagnetics (CEM) is the scientific field at the origin of all new modeling and simulation tools required by the constantly arising design challenges of emerging and future technologies in applied electromagnetics. As in many other technological fields, however, the trend in all emerging technologies in electromagnetic engineering is going towards miniaturized, higher density and multi-scale scenarios. Computationally speaking this translates in the steep increase of the number of degrees of freedom. Given that the design cost (the cost of a multi-right-hand side problem dominated by matrix inversion) can scale as badly as cubically with these degrees of freedom, this fact, as pointed out by many, will sensibly compromise the practical impact of CEM on future and emerging technologies.
For this reason, the CEM scientific community has been looking for years for a FFT-like paradigm shift: a dynamic fast direct solver providing a design cost that would scale only linearly with the degrees of freedom. Such a fast solver is considered today a Holy Grail of the discipline.
The Grand Challenge of 321 will be to tackle this Holy Grail in Computational Electromagnetics by investigating a dynamic Fast Direct Solver for Maxwell Problems that would run in a linear-instead-of-cubic complexity for an arbitrary number and configuration of degrees of freedom.
The failure of all previous attempts will be overcome by a game-changing transformation of the CEM classical problem that will leverage on a recent breakthrough of the PI. Starting from this, the project will investigate an entire new paradigm for impacting algorithms to achieve this grand challenge.
The impact of the FFT’s quadratic-to-linear paradigm shift shows how computational complexity reductions can be groundbreaking on applications. The cubic-to-linear paradigm shift, which the 321 project will aim for, will have such a rupturing impact on electromagnetic science and technology.
Summary
Computational Electromagnetics (CEM) is the scientific field at the origin of all new modeling and simulation tools required by the constantly arising design challenges of emerging and future technologies in applied electromagnetics. As in many other technological fields, however, the trend in all emerging technologies in electromagnetic engineering is going towards miniaturized, higher density and multi-scale scenarios. Computationally speaking this translates in the steep increase of the number of degrees of freedom. Given that the design cost (the cost of a multi-right-hand side problem dominated by matrix inversion) can scale as badly as cubically with these degrees of freedom, this fact, as pointed out by many, will sensibly compromise the practical impact of CEM on future and emerging technologies.
For this reason, the CEM scientific community has been looking for years for a FFT-like paradigm shift: a dynamic fast direct solver providing a design cost that would scale only linearly with the degrees of freedom. Such a fast solver is considered today a Holy Grail of the discipline.
The Grand Challenge of 321 will be to tackle this Holy Grail in Computational Electromagnetics by investigating a dynamic Fast Direct Solver for Maxwell Problems that would run in a linear-instead-of-cubic complexity for an arbitrary number and configuration of degrees of freedom.
The failure of all previous attempts will be overcome by a game-changing transformation of the CEM classical problem that will leverage on a recent breakthrough of the PI. Starting from this, the project will investigate an entire new paradigm for impacting algorithms to achieve this grand challenge.
The impact of the FFT’s quadratic-to-linear paradigm shift shows how computational complexity reductions can be groundbreaking on applications. The cubic-to-linear paradigm shift, which the 321 project will aim for, will have such a rupturing impact on electromagnetic science and technology.
Max ERC Funding
2 000 000 €
Duration
Start date: 2017-09-01, End date: 2023-08-31
Project acronym 3DPROTEINPUZZLES
Project Shape-directed protein assembly design
Researcher (PI) Lars Ingemar ANDRe
Host Institution (HI) MAX IV Laboratory, Lund University
Country Sweden
Call Details Consolidator Grant (CoG), LS9, ERC-2017-COG
Summary Large protein complexes carry out some of the most complex functions in biology. Such structures are often assembled spontaneously from individual components through the process of self-assembly. If self-assembled protein complexes could be engineered from first principle it would enable a wide range of applications in biomedicine, nanotechnology and materials science. Recently, approaches to rationally design proteins to self-assembly into predefined structures have emerged. The highlight of this work is the design of protein cages that may be engineered into protein containers. However, current approaches for self-assembly design does not result in the assemblies with the required structural complexity to encode many of the sophisticated functions found in nature. To move forward, we have to learn how to engineer protein subunits with more than one designed interface that can assemble into tightly interacting complexes. In this proposal we propose a new protein design paradigm, shape directed protein design, in order to address shortcomings of the current methodology. The proposed method combines geometric shape matching and computational protein design. Using this approach we will de novo design assemblies with a wide variety of structural states, including protein complexes with cyclic and dihedral symmetry as well as icosahedral protein capsids built from novel protein building blocks. To enable these two design challenges we also develop a high-throughput assay to measure assembly stability in vivo that builds on a three-color fluorescent assay. This method will not only facilitate the screening of orders of magnitude more design constructs, but also enable the application of directed evolution to experimentally improve stable and assembly properties of designed containers as well as other designed assemblies.
Summary
Large protein complexes carry out some of the most complex functions in biology. Such structures are often assembled spontaneously from individual components through the process of self-assembly. If self-assembled protein complexes could be engineered from first principle it would enable a wide range of applications in biomedicine, nanotechnology and materials science. Recently, approaches to rationally design proteins to self-assembly into predefined structures have emerged. The highlight of this work is the design of protein cages that may be engineered into protein containers. However, current approaches for self-assembly design does not result in the assemblies with the required structural complexity to encode many of the sophisticated functions found in nature. To move forward, we have to learn how to engineer protein subunits with more than one designed interface that can assemble into tightly interacting complexes. In this proposal we propose a new protein design paradigm, shape directed protein design, in order to address shortcomings of the current methodology. The proposed method combines geometric shape matching and computational protein design. Using this approach we will de novo design assemblies with a wide variety of structural states, including protein complexes with cyclic and dihedral symmetry as well as icosahedral protein capsids built from novel protein building blocks. To enable these two design challenges we also develop a high-throughput assay to measure assembly stability in vivo that builds on a three-color fluorescent assay. This method will not only facilitate the screening of orders of magnitude more design constructs, but also enable the application of directed evolution to experimentally improve stable and assembly properties of designed containers as well as other designed assemblies.
Max ERC Funding
2 325 292 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym 4DPHOTON
Project Beyond Light Imaging: High-Rate Single-Photon Detection in Four Dimensions
Researcher (PI) Massimiliano FIORINI
Host Institution (HI) ISTITUTO NAZIONALE DI FISICA NUCLEARE
Country Italy
Call Details Consolidator Grant (CoG), PE2, ERC-2018-COG
Summary Goal of the 4DPHOTON project is the development and construction of a photon imaging detector with unprecedented performance. The proposed device will be capable of detecting fluxes of single-photons up to one billion photons per second, over areas of several square centimetres, and will measure - for each photon - position and time simultaneously with resolutions better than ten microns and few tens of picoseconds, respectively. These figures of merit will open many important applications allowing significant advances in particle physics, life sciences or other emerging fields where excellent timing and position resolutions are simultaneously required.
Our goal will be achieved thanks to the use of an application-specific integrated circuit in 65 nm complementary metal-oxide-semiconductor (CMOS) technology, that will deliver a timing resolution of few tens of picoseconds at the pixel level, over few hundred thousand individually-active pixel channels, allowing very high rates of photons to be detected, and the corresponding information digitized and transferred to a processing unit.
As a result of the 4DPHOTON project we will remove the constraints that many light imaging applications have due to the lack of precise single-photon information on four dimensions (4D): the three spatial coordinates and time simultaneously. In particular, we will prove the performance of this detector in the field of particle physics, performing the reconstruction of Cherenkov photon rings with a timing resolution of ten picoseconds. With its excellent granularity, timing resolution, rate capability and compactness, this detector will represent a new paradigm for the realisation of future Ring Imaging Cherenkov detectors, capable of achieving high efficiency particle identification in environments with very high particle multiplicities, exploiting time-association of the photon hits.
Summary
Goal of the 4DPHOTON project is the development and construction of a photon imaging detector with unprecedented performance. The proposed device will be capable of detecting fluxes of single-photons up to one billion photons per second, over areas of several square centimetres, and will measure - for each photon - position and time simultaneously with resolutions better than ten microns and few tens of picoseconds, respectively. These figures of merit will open many important applications allowing significant advances in particle physics, life sciences or other emerging fields where excellent timing and position resolutions are simultaneously required.
Our goal will be achieved thanks to the use of an application-specific integrated circuit in 65 nm complementary metal-oxide-semiconductor (CMOS) technology, that will deliver a timing resolution of few tens of picoseconds at the pixel level, over few hundred thousand individually-active pixel channels, allowing very high rates of photons to be detected, and the corresponding information digitized and transferred to a processing unit.
As a result of the 4DPHOTON project we will remove the constraints that many light imaging applications have due to the lack of precise single-photon information on four dimensions (4D): the three spatial coordinates and time simultaneously. In particular, we will prove the performance of this detector in the field of particle physics, performing the reconstruction of Cherenkov photon rings with a timing resolution of ten picoseconds. With its excellent granularity, timing resolution, rate capability and compactness, this detector will represent a new paradigm for the realisation of future Ring Imaging Cherenkov detectors, capable of achieving high efficiency particle identification in environments with very high particle multiplicities, exploiting time-association of the photon hits.
Max ERC Funding
1 975 000 €
Duration
Start date: 2019-12-01, End date: 2024-11-30
Project acronym ARTSILK
Project Novel approaches to the generation of artificial spider silk superfibers
Researcher (PI) Anna RISING
Host Institution (HI) KAROLINSKA INSTITUTET
Country Sweden
Call Details Consolidator Grant (CoG), LS9, ERC-2018-COG
Summary Spider silk is Nature’s high performance material that has the potential to revolutionize the materials industry. However, production and spinning of artificial spider silk fibers are challenging, and current methods to produce silk fibers include denaturing conditions which prevent the silk proteins from assembling into fibers in the same complex way as native silk proteins do. In order to fulfill the potential of spider silk we need to increase our understanding of the silk formation process and decipher how protein folding and interactions relate to mechanical properties of the resulting silk fiber. Recent insights into the physiology and molecular mechanisms of the spinning process has made it possible to develop a biomimetic artificial spider silk spinning device (see our publications Andersson et al. Nat Chem Biol. 2017; Otikovs et al. Angew Chemie Int Engl Ed. 2017). We are, for the first time, able to spin artificial silk fibers in which the proteins adopt correct secondary, tertiary and quaternary structures.
The overall objective of ARTSILK is to build on these recent technical leaps and use state-of-the-art technologies to generate artificial silk fibers that are equal or superior to native spider silk in terms of toughness and tensile strength.
To reach the overall objective we will use the recently mapped spider genome, protein engineering and single cell RNA (ScRNA) sequencing to design novel silk proteins for fiber production. We will also study the relationship between protein secondary structure formation and fiber mechanical properties in order to decipher the ques that determine mechanical properties of the fiber. This knowledge will be important also for the basic understanding of how soluble proteins covert into b-sheet rich fibrils in, e.g., Alzheimer’s disease. Finally, we will use microfluidic chips to engineer the next generation spinning device and 3D-printing techniques to make reproducible three-dimensional structures of spider silk.
Summary
Spider silk is Nature’s high performance material that has the potential to revolutionize the materials industry. However, production and spinning of artificial spider silk fibers are challenging, and current methods to produce silk fibers include denaturing conditions which prevent the silk proteins from assembling into fibers in the same complex way as native silk proteins do. In order to fulfill the potential of spider silk we need to increase our understanding of the silk formation process and decipher how protein folding and interactions relate to mechanical properties of the resulting silk fiber. Recent insights into the physiology and molecular mechanisms of the spinning process has made it possible to develop a biomimetic artificial spider silk spinning device (see our publications Andersson et al. Nat Chem Biol. 2017; Otikovs et al. Angew Chemie Int Engl Ed. 2017). We are, for the first time, able to spin artificial silk fibers in which the proteins adopt correct secondary, tertiary and quaternary structures.
The overall objective of ARTSILK is to build on these recent technical leaps and use state-of-the-art technologies to generate artificial silk fibers that are equal or superior to native spider silk in terms of toughness and tensile strength.
To reach the overall objective we will use the recently mapped spider genome, protein engineering and single cell RNA (ScRNA) sequencing to design novel silk proteins for fiber production. We will also study the relationship between protein secondary structure formation and fiber mechanical properties in order to decipher the ques that determine mechanical properties of the fiber. This knowledge will be important also for the basic understanding of how soluble proteins covert into b-sheet rich fibrils in, e.g., Alzheimer’s disease. Finally, we will use microfluidic chips to engineer the next generation spinning device and 3D-printing techniques to make reproducible three-dimensional structures of spider silk.
Max ERC Funding
2 000 000 €
Duration
Start date: 2019-05-01, End date: 2024-04-30
Project acronym B Massive
Project Binary massive black hole astrophysics
Researcher (PI) Alberto SESANA
Host Institution (HI) UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA
Country Italy
Call Details Consolidator Grant (CoG), PE9, ERC-2018-COG
Summary Massive black hole binaries (MBHBs) are the most extreme, fascinating yet elusive astrophysical objects in the Universe. Establishing observationally their existence will be a milestone for contemporary astronomy, providing a fundamental missing piece in the puzzle of galaxy formation, piercing through the (hydro)dynamical physical processes shaping dense galactic nuclei from parsec scales down to the event horizon, and probing gravity in extreme conditions.
We can both see and listen to MBHBs. Remarkably, besides arguably being among the brightest variable objects shining in the Cosmos, MBHBs are also the loudest gravitational wave (GW) sources in the Universe. As such, we shall take advantage of both the type of messengers – photons and gravitons – they are sending to us, which can now be probed by all-sky time-domain surveys and radio pulsar timing arrays (PTAs) respectively.
B MASSIVE leverages on a unique comprehensive approach combining theoretical astrophysics, radio and gravitational-wave astronomy and time-domain surveys, with state of the art data analysis techniques to: i) observationally prove the existence of MBHBs, ii) understand and constrain their astrophysics and dynamics, iii) enable and bring closer in time the direct detection of GWs with PTA.
As European PTA (EPTA) executive committee member and former I
International PTA (IPTA) chair, I am a driving force in the development of pulsar timing science world-wide, and the project will build on the profound knowledge, broad vision and wide collaboration network that established me as a world leader in the field of MBHB and GW astrophysics. B MASSIVE is extremely timely; a pulsar timing data set of unprecedented quality is being assembled by EPTA/IPTA, and Time-Domain astronomy surveys are at their dawn. In the long term, B MASSIVE will be a fundamental milestone establishing European leadership in the cutting-edge field of MBHB astrophysics in the era of LSST, SKA and LISA.
Summary
Massive black hole binaries (MBHBs) are the most extreme, fascinating yet elusive astrophysical objects in the Universe. Establishing observationally their existence will be a milestone for contemporary astronomy, providing a fundamental missing piece in the puzzle of galaxy formation, piercing through the (hydro)dynamical physical processes shaping dense galactic nuclei from parsec scales down to the event horizon, and probing gravity in extreme conditions.
We can both see and listen to MBHBs. Remarkably, besides arguably being among the brightest variable objects shining in the Cosmos, MBHBs are also the loudest gravitational wave (GW) sources in the Universe. As such, we shall take advantage of both the type of messengers – photons and gravitons – they are sending to us, which can now be probed by all-sky time-domain surveys and radio pulsar timing arrays (PTAs) respectively.
B MASSIVE leverages on a unique comprehensive approach combining theoretical astrophysics, radio and gravitational-wave astronomy and time-domain surveys, with state of the art data analysis techniques to: i) observationally prove the existence of MBHBs, ii) understand and constrain their astrophysics and dynamics, iii) enable and bring closer in time the direct detection of GWs with PTA.
As European PTA (EPTA) executive committee member and former I
International PTA (IPTA) chair, I am a driving force in the development of pulsar timing science world-wide, and the project will build on the profound knowledge, broad vision and wide collaboration network that established me as a world leader in the field of MBHB and GW astrophysics. B MASSIVE is extremely timely; a pulsar timing data set of unprecedented quality is being assembled by EPTA/IPTA, and Time-Domain astronomy surveys are at their dawn. In the long term, B MASSIVE will be a fundamental milestone establishing European leadership in the cutting-edge field of MBHB astrophysics in the era of LSST, SKA and LISA.
Max ERC Funding
1 532 750 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym BabyRhythm
Project Tuned to the Rhythm: How Prenatally and Postnatally Heard Speech Prosody Lays the Foundations for Language Learning
Researcher (PI) Judit Gervain
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PADOVA
Country Italy
Call Details Consolidator Grant (CoG), SH4, ERC-2017-COG
Summary The role of experience in language acquisition has been the focus of heated theoretical debates, between proponents of nativist views according to whom experience plays a minimal role and advocates of empiricist positions holding that experience, be it linguistic, social or other, is sufficient to account for language acquisition. Despite more than a half century of dedicated research efforts, the problem is not solved.
The present project brings a novel perspective to this debate, combining hitherto unconnected research in language acquisition with recent advances in the neurophysiology of hearing and speech processing. Specifically, it claims that prenatal experience with speech, which mainly consists of prosody due to the filtering effects of the womb, is what shapes the speech perception system, laying the foundations of subsequent language learning. Prosody is thus the cue that links genetically endowed predispositions present in the initial state with language experience. The proposal links the behavioral and neural levels, arguing that the hierarchy of the neural oscillations corresponds to a unique developmental chronology in human infants’ experience with speech and language.
The project uses state-of-the-art brain imaging techniques, EEG & NIRS, with monolingual full term newborns, as well as full-term bilingual, preterm and deaf newborns to investigate the link between prenatal experience and subsequent language acquisition. It proposes to follow the developmental trajectories of these four populations from birth to 6 and 9 months of age.
Summary
The role of experience in language acquisition has been the focus of heated theoretical debates, between proponents of nativist views according to whom experience plays a minimal role and advocates of empiricist positions holding that experience, be it linguistic, social or other, is sufficient to account for language acquisition. Despite more than a half century of dedicated research efforts, the problem is not solved.
The present project brings a novel perspective to this debate, combining hitherto unconnected research in language acquisition with recent advances in the neurophysiology of hearing and speech processing. Specifically, it claims that prenatal experience with speech, which mainly consists of prosody due to the filtering effects of the womb, is what shapes the speech perception system, laying the foundations of subsequent language learning. Prosody is thus the cue that links genetically endowed predispositions present in the initial state with language experience. The proposal links the behavioral and neural levels, arguing that the hierarchy of the neural oscillations corresponds to a unique developmental chronology in human infants’ experience with speech and language.
The project uses state-of-the-art brain imaging techniques, EEG & NIRS, with monolingual full term newborns, as well as full-term bilingual, preterm and deaf newborns to investigate the link between prenatal experience and subsequent language acquisition. It proposes to follow the developmental trajectories of these four populations from birth to 6 and 9 months of age.
Max ERC Funding
1 621 250 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym BioDisOrder
Project Order and Disorder at the Surface of Biological Membranes.
Researcher (PI) Alfonso DE SIMONE
Host Institution (HI) UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II
Country Italy
Call Details Consolidator Grant (CoG), PE4, ERC-2018-COG
Summary Heterogeneous biomolecular mechanisms at the surface of cellular membranes are often fundamental to generate function and dysfunction in living systems. These processes are governed by transient and dynamical macromolecular interactions that pose tremendous challenges to current analytical tools, as the majority of these methods perform best in the study of well-defined and poorly dynamical systems. This proposal aims at a radical innovation in the characterisation of complex processes that are dominated by structural order and disorder, including those occurring at the surface of biological membranes such as cellular signalling, the assembly of molecular machinery, or the regulation vesicular trafficking.
I outline a programme to realise a vision where the combination of experiments and theory can delineate a new analytical platform to study complex biochemical mechanisms at a multiscale level, and to elucidate their role in physiological and pathological contexts. To achieve this ambitious goal, my research team will develop tools based on the combination of nuclear magnetic resonance (NMR) spectroscopy and molecular simulations, which will enable probing the structure, dynamics, thermodynamics and kinetics of complex protein-protein and protein-membrane interactions occurring at the surface of cellular membranes. The ability to advance both the experimental and theoretical sides, and their combination, is fundamental to define the next generation of methods to achieve our transformative aims. We will provide evidence of the innovative nature of the proposed multiscale approach by addressing some of the great questions in neuroscience and elucidate the details of how functional and aberrant biological complexity is achieved via the fine tuning between structural order and disorder at the neuronal synapse.
Summary
Heterogeneous biomolecular mechanisms at the surface of cellular membranes are often fundamental to generate function and dysfunction in living systems. These processes are governed by transient and dynamical macromolecular interactions that pose tremendous challenges to current analytical tools, as the majority of these methods perform best in the study of well-defined and poorly dynamical systems. This proposal aims at a radical innovation in the characterisation of complex processes that are dominated by structural order and disorder, including those occurring at the surface of biological membranes such as cellular signalling, the assembly of molecular machinery, or the regulation vesicular trafficking.
I outline a programme to realise a vision where the combination of experiments and theory can delineate a new analytical platform to study complex biochemical mechanisms at a multiscale level, and to elucidate their role in physiological and pathological contexts. To achieve this ambitious goal, my research team will develop tools based on the combination of nuclear magnetic resonance (NMR) spectroscopy and molecular simulations, which will enable probing the structure, dynamics, thermodynamics and kinetics of complex protein-protein and protein-membrane interactions occurring at the surface of cellular membranes. The ability to advance both the experimental and theoretical sides, and their combination, is fundamental to define the next generation of methods to achieve our transformative aims. We will provide evidence of the innovative nature of the proposed multiscale approach by addressing some of the great questions in neuroscience and elucidate the details of how functional and aberrant biological complexity is achieved via the fine tuning between structural order and disorder at the neuronal synapse.
Max ERC Funding
1 999 945 €
Duration
Start date: 2019-06-01, End date: 2024-05-31
Project acronym BIORECAR
Project Direct cell reprogramming therapy in myocardial regeneration through an engineered multifunctional platform integrating biochemical instructive cues
Researcher (PI) Valeria CHIONO
Host Institution (HI) POLITECNICO DI TORINO
Country Italy
Call Details Consolidator Grant (CoG), PE8, ERC-2017-COG
Summary In BIORECAR I will develop a new breakthrough multifunctional biomaterial-based platform for myocardial regeneration after myocardial infarction, provided with biochemical cues able to enhance the direct reprogramming of human cardiac fibroblasts into functional cardiomyocytes.
My expertise in bioartificial materials and biomimetic scaffolds and the versatile chemistry of polyurethanes will be the key elements to achieve a significant knowledge and technological advancement in cell reprogramming therapy, opening the way to the future translation of the therapy into the clinics.
I will implement this advanced approach through the design of a novel 3D in vitro tissue-engineered model of human cardiac fibrotic tissue, as a tool for testing and validation, to maximise research efforts and reduce animal tests.
I will adapt novel nanomedicine approaches I have recently developed for drug release to design innovative cell-friendly and efficient polyurethane nanoparticles for targeted reprogramming of cardiac fibroblasts.
I will design an injectable bioartificial hydrogel based on a blend of a thermosensitive polyurethane and a natural component selected among a novel cell-secreted natural polymer mixture (“biomatrix”) recapitulating the complexity of cardiac extracellular matrix or one of its main protein constituents. Such multifunctional hydrogel will deliver in situ agents stimulating recruitment of cardiac fibroblasts together with the nanoparticles loaded with reprogramming therapeutics, and will provide biochemical signalling to stimulate efficient conversion of fibroblasts into mature cardiomyocytes.
First-in-field biomaterials-based innovations introduced by BIORECAR will enable more effective regeneration of functional myocardial tissue respect to state-of-the art approaches. BIORECAR innovation is multidisciplinary in nature and will be accelerated towards future clinical translation through my clinical, scientific and industrial collaborations.
Summary
In BIORECAR I will develop a new breakthrough multifunctional biomaterial-based platform for myocardial regeneration after myocardial infarction, provided with biochemical cues able to enhance the direct reprogramming of human cardiac fibroblasts into functional cardiomyocytes.
My expertise in bioartificial materials and biomimetic scaffolds and the versatile chemistry of polyurethanes will be the key elements to achieve a significant knowledge and technological advancement in cell reprogramming therapy, opening the way to the future translation of the therapy into the clinics.
I will implement this advanced approach through the design of a novel 3D in vitro tissue-engineered model of human cardiac fibrotic tissue, as a tool for testing and validation, to maximise research efforts and reduce animal tests.
I will adapt novel nanomedicine approaches I have recently developed for drug release to design innovative cell-friendly and efficient polyurethane nanoparticles for targeted reprogramming of cardiac fibroblasts.
I will design an injectable bioartificial hydrogel based on a blend of a thermosensitive polyurethane and a natural component selected among a novel cell-secreted natural polymer mixture (“biomatrix”) recapitulating the complexity of cardiac extracellular matrix or one of its main protein constituents. Such multifunctional hydrogel will deliver in situ agents stimulating recruitment of cardiac fibroblasts together with the nanoparticles loaded with reprogramming therapeutics, and will provide biochemical signalling to stimulate efficient conversion of fibroblasts into mature cardiomyocytes.
First-in-field biomaterials-based innovations introduced by BIORECAR will enable more effective regeneration of functional myocardial tissue respect to state-of-the art approaches. BIORECAR innovation is multidisciplinary in nature and will be accelerated towards future clinical translation through my clinical, scientific and industrial collaborations.
Max ERC Funding
2 000 000 €
Duration
Start date: 2018-07-01, End date: 2023-06-30
Project acronym BrightEyes
Project Multi-Parameter Live-Cell Observation of Biomolecular Processes with Single-Photon Detector Array
Researcher (PI) Giuseppe Vicidomini
Host Institution (HI) FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
Country Italy
Call Details Consolidator Grant (CoG), PE7, ERC-2018-COG
Summary Fluorescence single-molecule (SM) detection techniques have the potential to provide insights into the complex functions, structures and interactions of individual, specifically labelled biomolecules. However, current SM techniques work properly only when the biomolecule is observed in controlled environments, e.g., immobilized on a glass surface. Observation of biomolecular processes in living (multi)cellular environments – which is fundamental for sound biological conclusion – always comes with a price, such as invasiveness, limitations in the accessible information and constraints in the spatial and temporal scales.
The overall objective of the BrightEyes project is to break the above limitations by creating a novel SM approach compatible with the state-of-the-art biomolecule-labelling protocols, able to track a biomolecule deep inside (multi)cellular environments – with temporal resolution in the microsecond scale, and with hundreds of micrometres tracking range – and simultaneously observe its structural changes, its nano- and micro-environments.
Specifically, by exploring a novel single-photon detectors array, the BrightEyes project will implement an optical system, able to continuously (i) track in real-time the biomolecule of interest from which to decode its dynamics and interactions; (ii) measure the nano-environment fluorescence spectroscopy properties, such as lifetime, photon-pair correlation and intensity, from which to extract the biochemical properties of the nano-environment, the structural properties of the biomolecule – via SM-FRET and anti-bunching – and the interactions of the biomolecule with other biomolecular species – via STED-FCS; (iii) visualize the sub-cellular structures within the micro-environment with sub-diffraction spatial resolution – via STED and image scanning microscopy.
This unique paradigm will enable unprecedented studies of biomolecular behaviours, interactions and self-organization at near-physiological conditions.
Summary
Fluorescence single-molecule (SM) detection techniques have the potential to provide insights into the complex functions, structures and interactions of individual, specifically labelled biomolecules. However, current SM techniques work properly only when the biomolecule is observed in controlled environments, e.g., immobilized on a glass surface. Observation of biomolecular processes in living (multi)cellular environments – which is fundamental for sound biological conclusion – always comes with a price, such as invasiveness, limitations in the accessible information and constraints in the spatial and temporal scales.
The overall objective of the BrightEyes project is to break the above limitations by creating a novel SM approach compatible with the state-of-the-art biomolecule-labelling protocols, able to track a biomolecule deep inside (multi)cellular environments – with temporal resolution in the microsecond scale, and with hundreds of micrometres tracking range – and simultaneously observe its structural changes, its nano- and micro-environments.
Specifically, by exploring a novel single-photon detectors array, the BrightEyes project will implement an optical system, able to continuously (i) track in real-time the biomolecule of interest from which to decode its dynamics and interactions; (ii) measure the nano-environment fluorescence spectroscopy properties, such as lifetime, photon-pair correlation and intensity, from which to extract the biochemical properties of the nano-environment, the structural properties of the biomolecule – via SM-FRET and anti-bunching – and the interactions of the biomolecule with other biomolecular species – via STED-FCS; (iii) visualize the sub-cellular structures within the micro-environment with sub-diffraction spatial resolution – via STED and image scanning microscopy.
This unique paradigm will enable unprecedented studies of biomolecular behaviours, interactions and self-organization at near-physiological conditions.
Max ERC Funding
1 861 250 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym CAPTURE
Project CApturing Paradata for documenTing data creation and Use for the REsearch of the future
Researcher (PI) Isto HUVILA
Host Institution (HI) UPPSALA UNIVERSITET
Country Sweden
Call Details Consolidator Grant (CoG), SH3, ERC-2018-COG
Summary "Considerable investments have been made in Europe and worldwide in research data infrastructures. Instead of a general lack of data about data, it has become apparent that the pivotal factor that drastically constrains the use of data is the absence of contextual knowledge about how data was created and how it has been used. This applies especially to many branches of SSH research where data is highly heterogeneous, both by its kind (e.g. being qualitative, quantitative, naturalistic, purposefully created) and origins (e.g. being historical/contemporary, from different contexts and geographical places). The problem is that there may be enough metadata (data about data) but there is too little paradata (data on the processes of its creation and use).
In contrast to the rather straightforward problem of describing the data, the high-risk/high-gain problem no-one has managed to solve, is the lack of comprehensive understanding of what information about the creation and use of research data is needed and how to capture enough of that information to make the data reusable and to avoid the risk that currently collected vast amounts of research data become useless in the future. The wickedness of the problem lies in the practical impossibility to document and keep everything and the difficulty to determine optimal procedures for capturing just enough.
With an empirical focus on archaeological and cultural heritage data, which stands out by its extreme heterogeneity and rapid accumulation due to the scale of ongoing development-led archaeological fieldwork, CAPTURE develops an in-depth understanding of how paradata is #1 created and #2 used at the moment, #3 elicits methods for capturing paradata on the basis of the findings of #1-2, #4 tests the new methods in field trials, and #5 synthesises the findings in a reference model to inform the capturing of paradata and enabling data-intensive research using heterogeneous research data stemming from diverse origins.
"
Summary
"Considerable investments have been made in Europe and worldwide in research data infrastructures. Instead of a general lack of data about data, it has become apparent that the pivotal factor that drastically constrains the use of data is the absence of contextual knowledge about how data was created and how it has been used. This applies especially to many branches of SSH research where data is highly heterogeneous, both by its kind (e.g. being qualitative, quantitative, naturalistic, purposefully created) and origins (e.g. being historical/contemporary, from different contexts and geographical places). The problem is that there may be enough metadata (data about data) but there is too little paradata (data on the processes of its creation and use).
In contrast to the rather straightforward problem of describing the data, the high-risk/high-gain problem no-one has managed to solve, is the lack of comprehensive understanding of what information about the creation and use of research data is needed and how to capture enough of that information to make the data reusable and to avoid the risk that currently collected vast amounts of research data become useless in the future. The wickedness of the problem lies in the practical impossibility to document and keep everything and the difficulty to determine optimal procedures for capturing just enough.
With an empirical focus on archaeological and cultural heritage data, which stands out by its extreme heterogeneity and rapid accumulation due to the scale of ongoing development-led archaeological fieldwork, CAPTURE develops an in-depth understanding of how paradata is #1 created and #2 used at the moment, #3 elicits methods for capturing paradata on the basis of the findings of #1-2, #4 tests the new methods in field trials, and #5 synthesises the findings in a reference model to inform the capturing of paradata and enabling data-intensive research using heterogeneous research data stemming from diverse origins.
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Max ERC Funding
1 944 162 €
Duration
Start date: 2019-05-01, End date: 2024-04-30