Project acronym 2DQP
Project Two-dimensional quantum photonics
Researcher (PI) Brian David GERARDOT
Host Institution (HI) HERIOT-WATT UNIVERSITY
Call Details Consolidator Grant (CoG), PE3, ERC-2016-COG
Summary Quantum optics, the study of how discrete packets of light (photons) and matter interact, has led to the development of remarkable new technologies which exploit the bizarre properties of quantum mechanics. These quantum technologies are primed to revolutionize the fields of communication, information processing, and metrology in the coming years. Similar to contemporary technologies, the future quantum machinery will likely consist of a semiconductor platform to create and process the quantum information. However, to date the demanding requirements on a quantum photonic platform have yet to be satisfied with conventional bulk (three-dimensional) semiconductors.
To surmount these well-known obstacles, a new paradigm in quantum photonics is required. Initiated by the recent discovery of single photon emitters in atomically flat (two-dimensional) semiconducting materials, 2DQP aims to be at the nucleus of a new approach by realizing quantum optics with ultra-stable (coherent) quantum states integrated into devices with electronic and photonic functionality. We will characterize, identify, engineer, and coherently manipulate localized quantum states in this two-dimensional quantum photonic platform. A vital component of 2DQP’s vision is to go beyond the fundamental science and achieve the ideal solid-state single photon device yielding perfect extraction - 100% efficiency - of on-demand indistinguishable single photons. Finally, we will exploit this ideal device to implement the critical building block for a photonic quantum computer.
Summary
Quantum optics, the study of how discrete packets of light (photons) and matter interact, has led to the development of remarkable new technologies which exploit the bizarre properties of quantum mechanics. These quantum technologies are primed to revolutionize the fields of communication, information processing, and metrology in the coming years. Similar to contemporary technologies, the future quantum machinery will likely consist of a semiconductor platform to create and process the quantum information. However, to date the demanding requirements on a quantum photonic platform have yet to be satisfied with conventional bulk (three-dimensional) semiconductors.
To surmount these well-known obstacles, a new paradigm in quantum photonics is required. Initiated by the recent discovery of single photon emitters in atomically flat (two-dimensional) semiconducting materials, 2DQP aims to be at the nucleus of a new approach by realizing quantum optics with ultra-stable (coherent) quantum states integrated into devices with electronic and photonic functionality. We will characterize, identify, engineer, and coherently manipulate localized quantum states in this two-dimensional quantum photonic platform. A vital component of 2DQP’s vision is to go beyond the fundamental science and achieve the ideal solid-state single photon device yielding perfect extraction - 100% efficiency - of on-demand indistinguishable single photons. Finally, we will exploit this ideal device to implement the critical building block for a photonic quantum computer.
Max ERC Funding
1 999 135 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym ACCENT
Project Unravelling the architecture and the cartography of the human centriole
Researcher (PI) Paul, Philippe, Desiré GUICHARD
Host Institution (HI) UNIVERSITE DE GENEVE
Call Details Starting Grant (StG), LS1, ERC-2016-STG
Summary The centriole is the largest evolutionary conserved macromolecular structure responsible for building centrosomes and cilia or flagella in many eukaryotes. Centrioles are critical for the proper execution of important biological processes ranging from cell division to cell signaling. Moreover, centriolar defects have been associated to several human pathologies including ciliopathies and cancer. This state of facts emphasizes the importance of understanding centriole biogenesis. The study of centriole formation is a deep-rooted question, however our current knowledge on its molecular organization at high resolution remains fragmented and limited. In particular, exquisite details of the overall molecular architecture of the human centriole and in particular of its central core region are lacking to understand the basis of centriole organization and function. Resolving this important question represents a challenge that needs to be undertaken and will undoubtedly lead to groundbreaking advances. Another important question to tackle next is to develop innovative methods to enable the nanometric molecular mapping of centriolar proteins within distinct architectural elements of the centriole. This missing information will be key to unravel the molecular mechanisms behind centriolar organization.
This research proposal aims at building a cartography of the human centriole by elucidating its molecular composition and architecture. To this end, we will combine the use of innovative and multidisciplinary techniques encompassing spatial proteomics, cryo-electron tomography, state-of-the-art microscopy and in vitro assays and to achieve a comprehensive molecular and structural view of the human centriole. All together, we expect that these advances will help understand basic principles underlying centriole and cilia formation as well as might have further relevance for human health.
Summary
The centriole is the largest evolutionary conserved macromolecular structure responsible for building centrosomes and cilia or flagella in many eukaryotes. Centrioles are critical for the proper execution of important biological processes ranging from cell division to cell signaling. Moreover, centriolar defects have been associated to several human pathologies including ciliopathies and cancer. This state of facts emphasizes the importance of understanding centriole biogenesis. The study of centriole formation is a deep-rooted question, however our current knowledge on its molecular organization at high resolution remains fragmented and limited. In particular, exquisite details of the overall molecular architecture of the human centriole and in particular of its central core region are lacking to understand the basis of centriole organization and function. Resolving this important question represents a challenge that needs to be undertaken and will undoubtedly lead to groundbreaking advances. Another important question to tackle next is to develop innovative methods to enable the nanometric molecular mapping of centriolar proteins within distinct architectural elements of the centriole. This missing information will be key to unravel the molecular mechanisms behind centriolar organization.
This research proposal aims at building a cartography of the human centriole by elucidating its molecular composition and architecture. To this end, we will combine the use of innovative and multidisciplinary techniques encompassing spatial proteomics, cryo-electron tomography, state-of-the-art microscopy and in vitro assays and to achieve a comprehensive molecular and structural view of the human centriole. All together, we expect that these advances will help understand basic principles underlying centriole and cilia formation as well as might have further relevance for human health.
Max ERC Funding
1 498 965 €
Duration
Start date: 2017-01-01, End date: 2021-12-31
Project acronym ADSNeSP
Project Active and Driven Systems: Nonequilibrium Statistical Physics
Researcher (PI) Michael Elmhirst CATES
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Advanced Grant (AdG), PE3, ERC-2016-ADG
Summary Active Matter systems, such as self-propelled colloids, violate time-reversal symmetry by producing entropy locally, typically converting fuel into mechanical motion at the particle scale. Other driven systems instead produce entropy because of global forcing by external fields, or boundary conditions that impose macroscopic fluxes (such as the momentum flux across a fluid sheared between moving parallel walls).
Nonequilibrium statistical physics (NeSP) is the basic toolbox for both classes of system. In recent years, much progress in NeSP has stemmed from bottom-up work on driven systems. This has provided a number of exactly solved benchmark models, and extended approximation techniques to address driven non-ergodic systems, such as sheared glasses. Meanwhile, work on fluctuation theorems and stochastic thermodynamics have created profound, model-independent insights into dynamics far from equilibrium.
More recently, the field of Active Matter has moved forward rapidly, leaving in its wake a series of generic and profound NeSP questions that now need answers: When is time-reversal symmetry, broken at the microscale, restored by coarse-graining? If it is restored, is an effective thermodynamic description is possible? How different is an active system's behaviour from a globally forced one?
ADSNeSP aims to distil from recent Active Matter research such fundamental questions; answer them first in the context of specific models and second in more general terms; and then, using the tools and insights gained, shed new light on longstanding problems in the wider class of driven systems.
I believe these new tools and insights will be substantial, because local activity takes systems far from equilibrium in a conceptually distinct direction from most types of global driving. By focusing on general principles and on simple models of activity, I seek to create a new vantage point that can inform, and potentially transform, wider areas of statistical physics.
Summary
Active Matter systems, such as self-propelled colloids, violate time-reversal symmetry by producing entropy locally, typically converting fuel into mechanical motion at the particle scale. Other driven systems instead produce entropy because of global forcing by external fields, or boundary conditions that impose macroscopic fluxes (such as the momentum flux across a fluid sheared between moving parallel walls).
Nonequilibrium statistical physics (NeSP) is the basic toolbox for both classes of system. In recent years, much progress in NeSP has stemmed from bottom-up work on driven systems. This has provided a number of exactly solved benchmark models, and extended approximation techniques to address driven non-ergodic systems, such as sheared glasses. Meanwhile, work on fluctuation theorems and stochastic thermodynamics have created profound, model-independent insights into dynamics far from equilibrium.
More recently, the field of Active Matter has moved forward rapidly, leaving in its wake a series of generic and profound NeSP questions that now need answers: When is time-reversal symmetry, broken at the microscale, restored by coarse-graining? If it is restored, is an effective thermodynamic description is possible? How different is an active system's behaviour from a globally forced one?
ADSNeSP aims to distil from recent Active Matter research such fundamental questions; answer them first in the context of specific models and second in more general terms; and then, using the tools and insights gained, shed new light on longstanding problems in the wider class of driven systems.
I believe these new tools and insights will be substantial, because local activity takes systems far from equilibrium in a conceptually distinct direction from most types of global driving. By focusing on general principles and on simple models of activity, I seek to create a new vantage point that can inform, and potentially transform, wider areas of statistical physics.
Max ERC Funding
2 043 630 €
Duration
Start date: 2017-10-01, End date: 2022-09-30
Project acronym ALEXANDRIA
Project Large-Scale Formal Proof for the Working Mathematician
Researcher (PI) Lawrence PAULSON
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Advanced Grant (AdG), PE6, ERC-2016-ADG
Summary Mathematical proofs have always been prone to error. Today, proofs can be hundreds of pages long and combine results from many specialisms, making them almost impossible to check. One solution is to deploy modern verification technology. Interactive theorem provers have demonstrated their potential as vehicles for formalising mathematics through achievements such as the verification of the Kepler Conjecture. Proofs done using such tools reach a high standard of correctness.
However, existing theorem provers are unsuitable for mathematics. Their formal proofs are unreadable. They struggle to do simple tasks, such as evaluating limits. They lack much basic mathematics, and the material they do have is difficult to locate and apply.
ALEXANDRIA will create a proof development environment attractive to working mathematicians, utilising the best technology available across computer science. Its focus will be the management and use of large-scale mathematical knowledge, both theorems and algorithms. The project will employ mathematicians to investigate the formalisation of mathematics in practice. Our already substantial formalised libraries will serve as the starting point. They will be extended and annotated to support sophisticated searches. Techniques will be borrowed from machine learning, information retrieval and natural language processing. Algorithms will be treated similarly: ALEXANDRIA will help users find and invoke the proof methods and algorithms appropriate for the task.
ALEXANDRIA will provide (1) comprehensive formal mathematical libraries; (2) search within libraries, and the mining of libraries for proof patterns; (3) automated support for the construction of large formal proofs; (4) sound and practical computer algebra tools.
ALEXANDRIA will be based on legible structured proofs. Formal proofs should be not mere code, but a machine-checkable form of communication between mathematicians.
Summary
Mathematical proofs have always been prone to error. Today, proofs can be hundreds of pages long and combine results from many specialisms, making them almost impossible to check. One solution is to deploy modern verification technology. Interactive theorem provers have demonstrated their potential as vehicles for formalising mathematics through achievements such as the verification of the Kepler Conjecture. Proofs done using such tools reach a high standard of correctness.
However, existing theorem provers are unsuitable for mathematics. Their formal proofs are unreadable. They struggle to do simple tasks, such as evaluating limits. They lack much basic mathematics, and the material they do have is difficult to locate and apply.
ALEXANDRIA will create a proof development environment attractive to working mathematicians, utilising the best technology available across computer science. Its focus will be the management and use of large-scale mathematical knowledge, both theorems and algorithms. The project will employ mathematicians to investigate the formalisation of mathematics in practice. Our already substantial formalised libraries will serve as the starting point. They will be extended and annotated to support sophisticated searches. Techniques will be borrowed from machine learning, information retrieval and natural language processing. Algorithms will be treated similarly: ALEXANDRIA will help users find and invoke the proof methods and algorithms appropriate for the task.
ALEXANDRIA will provide (1) comprehensive formal mathematical libraries; (2) search within libraries, and the mining of libraries for proof patterns; (3) automated support for the construction of large formal proofs; (4) sound and practical computer algebra tools.
ALEXANDRIA will be based on legible structured proofs. Formal proofs should be not mere code, but a machine-checkable form of communication between mathematicians.
Max ERC Funding
2 430 140 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym AlgoRNN
Project Recurrent Neural Networks and Related Machines That Learn Algorithms
Researcher (PI) Juergen Schmidhuber
Host Institution (HI) UNIVERSITA DELLA SVIZZERA ITALIANA
Call Details Advanced Grant (AdG), PE6, ERC-2016-ADG
Summary Recurrent neural networks (RNNs) are general parallel-sequential computers. Some learn their programs or weights. Our supervised Long Short-Term Memory (LSTM) RNNs were the first to win pattern recognition contests, and recently enabled best known results in speech and handwriting recognition, machine translation, etc. They are now available to billions of users through the world's most valuable public companies including Google and Apple. Nevertheless, in lots of real-world tasks RNNs do not yet live up to their full potential. Although universal in theory, in practice they fail to learn important types of algorithms. This ERC project will go far beyond today's best RNNs through novel RNN-like systems that address some of the biggest open RNN problems and hottest RNN research topics: (1) How can RNNs learn to control (through internal spotlights of attention) separate large short-memory structures such as sub-networks with fast weights, to improve performance on many natural short-term memory-intensive tasks which are currently hard to learn by RNNs, such as answering detailed questions on recently observed videos? (2) How can such RNN-like systems metalearn entire learning algorithms that outperform the original learning algorithms? (3) How to achieve efficient transfer learning from one RNN-learned set of problem-solving programs to new RNN programs solving new tasks? In other words, how can one RNN-like system actively learn to exploit algorithmic information contained in the programs running on another? We will test our systems existing benchmarks, and create new, more challenging multi-task benchmarks. This will be supported by a rather cheap, GPU-based mini-brain for implementing large RNNs.
Summary
Recurrent neural networks (RNNs) are general parallel-sequential computers. Some learn their programs or weights. Our supervised Long Short-Term Memory (LSTM) RNNs were the first to win pattern recognition contests, and recently enabled best known results in speech and handwriting recognition, machine translation, etc. They are now available to billions of users through the world's most valuable public companies including Google and Apple. Nevertheless, in lots of real-world tasks RNNs do not yet live up to their full potential. Although universal in theory, in practice they fail to learn important types of algorithms. This ERC project will go far beyond today's best RNNs through novel RNN-like systems that address some of the biggest open RNN problems and hottest RNN research topics: (1) How can RNNs learn to control (through internal spotlights of attention) separate large short-memory structures such as sub-networks with fast weights, to improve performance on many natural short-term memory-intensive tasks which are currently hard to learn by RNNs, such as answering detailed questions on recently observed videos? (2) How can such RNN-like systems metalearn entire learning algorithms that outperform the original learning algorithms? (3) How to achieve efficient transfer learning from one RNN-learned set of problem-solving programs to new RNN programs solving new tasks? In other words, how can one RNN-like system actively learn to exploit algorithmic information contained in the programs running on another? We will test our systems existing benchmarks, and create new, more challenging multi-task benchmarks. This will be supported by a rather cheap, GPU-based mini-brain for implementing large RNNs.
Max ERC Funding
2 500 000 €
Duration
Start date: 2017-10-01, End date: 2022-09-30
Project acronym BLASTOFF
Project Retooling plant immunity for resistance to blast fungi
Researcher (PI) Sophien KAMOUN
Host Institution (HI) THE SAINSBURY LABORATORY
Call Details Advanced Grant (AdG), LS9, ERC-2016-ADG
Summary Plant NLR-type immune receptors tend to have a narrow spectrum of pathogen recognition, which is currently limiting their value in agriculture. NLRs can recognize pathogen effectors through unconventional domains that have evolved by duplication of an effector target followed by fusion into the NLR. One NLR with an integrated domain is the rice resistance protein Pik-1, which binds an effector of the blast fungus Magnaporthe oryzae via its Heavy-Metal Associated (HMA) domain. We solved the crystal structure of the HMA domain of Pik-1 in complex with a blast fungus effector and gained an unprecedented level of detail of the molecular interactions that define pathogen recognition. This led to the overall aim of this proposal to generate a complete picture of the biophysical interactions between blast fungus effectors and HMA-containing cereal proteins to guide the retooling of the plant immune system towards resistance to blast diseases. M. oryzae is a general cereal killer that infects wheat, barley and rice, which are staple food for a majority of the world population. The central hypothesis of the proposed research is that mutations in cereal HMA-containing proteins will result in broad-spectrum resistance to blast fungi.
To achieve our goal, we will pursue the following objectives:
1. BIOPHYSICS. Define the biophysical properties that underpin binding of M. oryzae effectors to HMA-containing proteins of cereal crops.
2. RECEPTOR ENGINEERING. Develop Pik-1 receptors that respond to a wide-spectrum of M. oryzae effectors.
3. GENOME EDITING. Mutate HMA domain-containing genes in cereal genomes to confer broad-spectrum blast resistance.
At the completion of this project, we will generate a thorough understanding of the biophysical properties of pathogen effector binding to cereal HMA proteins, and deliver traits and non-transgenic cultivars for breeding blast disease resistance in cereal crops.
Summary
Plant NLR-type immune receptors tend to have a narrow spectrum of pathogen recognition, which is currently limiting their value in agriculture. NLRs can recognize pathogen effectors through unconventional domains that have evolved by duplication of an effector target followed by fusion into the NLR. One NLR with an integrated domain is the rice resistance protein Pik-1, which binds an effector of the blast fungus Magnaporthe oryzae via its Heavy-Metal Associated (HMA) domain. We solved the crystal structure of the HMA domain of Pik-1 in complex with a blast fungus effector and gained an unprecedented level of detail of the molecular interactions that define pathogen recognition. This led to the overall aim of this proposal to generate a complete picture of the biophysical interactions between blast fungus effectors and HMA-containing cereal proteins to guide the retooling of the plant immune system towards resistance to blast diseases. M. oryzae is a general cereal killer that infects wheat, barley and rice, which are staple food for a majority of the world population. The central hypothesis of the proposed research is that mutations in cereal HMA-containing proteins will result in broad-spectrum resistance to blast fungi.
To achieve our goal, we will pursue the following objectives:
1. BIOPHYSICS. Define the biophysical properties that underpin binding of M. oryzae effectors to HMA-containing proteins of cereal crops.
2. RECEPTOR ENGINEERING. Develop Pik-1 receptors that respond to a wide-spectrum of M. oryzae effectors.
3. GENOME EDITING. Mutate HMA domain-containing genes in cereal genomes to confer broad-spectrum blast resistance.
At the completion of this project, we will generate a thorough understanding of the biophysical properties of pathogen effector binding to cereal HMA proteins, and deliver traits and non-transgenic cultivars for breeding blast disease resistance in cereal crops.
Max ERC Funding
2 491 893 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym BrainEnergy
Project Control of cerebral blood flow by capillary pericytes in health and disease
Researcher (PI) David ATTWELL
Host Institution (HI) UNIVERSITY COLLEGE LONDON
Call Details Advanced Grant (AdG), LS5, ERC-2016-ADG
Summary Pericytes, located at intervals along capillaries, have recently been revealed as major controllers of brain blood flow. Normally, they dilate capillaries in response to neuronal activity, increasing local blood flow and energy supply. But in pathology they have a more sinister role. After artery block causes a stroke, the brain suffers from the so-called “no-reflow” phenomenon - a failure to fully reperfuse capillaries, even after the upstream occluded artery has been reperfused successfully. The resulting long-lasting decrease of energy supply damages neurons. I have shown that a major cause of no-reflow lies in pericytes: during ischaemia they constrict and then die in rigor. This reduces capillary diameter and blood flow, and probably degrades blood-brain barrier function. However, despite their crucial role in regulating blood flow physiologically and in pathology, little is known about the mechanisms by which pericytes function.
By using blood vessel imaging, patch-clamping, two-photon imaging, optogenetics, immunohistochemistry, mathematical modelling, and live human tissue obtained from neurosurgery, this programme of research will:
(i) define the signalling mechanisms controlling capillary constriction and dilation in health and disease;
(ii) identify the relative contributions of neurons, astrocytes and microglia to regulating pericyte tone;
(iii) develop approaches to preventing brain pericyte constriction and death during ischaemia;
(iv) define how pericyte constriction of capillaries and pericyte death contribute to Alzheimer’s disease;
(v) extend these results from rodent brain to human brain pericytes as a prelude to developing therapies.
The diseases to which pericytes contribute include stroke, spinal cord injury, diabetes and Alzheimer’s disease. These all have an enormous economic impact, as well as causing great suffering for patients and their carers. This work will provide novel therapeutic approaches for treating these diseases.
Summary
Pericytes, located at intervals along capillaries, have recently been revealed as major controllers of brain blood flow. Normally, they dilate capillaries in response to neuronal activity, increasing local blood flow and energy supply. But in pathology they have a more sinister role. After artery block causes a stroke, the brain suffers from the so-called “no-reflow” phenomenon - a failure to fully reperfuse capillaries, even after the upstream occluded artery has been reperfused successfully. The resulting long-lasting decrease of energy supply damages neurons. I have shown that a major cause of no-reflow lies in pericytes: during ischaemia they constrict and then die in rigor. This reduces capillary diameter and blood flow, and probably degrades blood-brain barrier function. However, despite their crucial role in regulating blood flow physiologically and in pathology, little is known about the mechanisms by which pericytes function.
By using blood vessel imaging, patch-clamping, two-photon imaging, optogenetics, immunohistochemistry, mathematical modelling, and live human tissue obtained from neurosurgery, this programme of research will:
(i) define the signalling mechanisms controlling capillary constriction and dilation in health and disease;
(ii) identify the relative contributions of neurons, astrocytes and microglia to regulating pericyte tone;
(iii) develop approaches to preventing brain pericyte constriction and death during ischaemia;
(iv) define how pericyte constriction of capillaries and pericyte death contribute to Alzheimer’s disease;
(v) extend these results from rodent brain to human brain pericytes as a prelude to developing therapies.
The diseases to which pericytes contribute include stroke, spinal cord injury, diabetes and Alzheimer’s disease. These all have an enormous economic impact, as well as causing great suffering for patients and their carers. This work will provide novel therapeutic approaches for treating these diseases.
Max ERC Funding
2 499 954 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym BRCA-ERC
Project Understanding cancer development in BRCA 1/2 mutation carriers for improved Early detection and Risk Control
Researcher (PI) Martin WIDSCHWENDTER
Host Institution (HI) UNIVERSITY COLLEGE LONDON
Call Details Advanced Grant (AdG), LS7, ERC-2016-ADG
Summary Recent evidence demonstrates that cancer is overtaking cardiovascular disease as the number one cause of mortality in Europe. This is largely due to the lack of preventative measures for common (e.g. breast) or highly fatal (e.g. ovarian) human cancers. Most cancers are multifactorial in origin. The core hypothesis of this research programme is that the extremely high risk of BRCA1/2 germline mutation carriers to develop breast and ovarian cancer is a net consequence of cell-autonomous (direct effect of BRCA mutation in cells at risk) and cell non-autonomous (produced in distant organs and affecting organs at risk) factors which both trigger epigenetic, cancer-initiating effects.
The project’s aims are centered around the principles of systems medicine and built on a large cohort of BRCA mutation carriers and controls who will be offered newly established cancer screening programmes. We will uncover how ‘cell non-autonomous’ factors work, provide detail on the epigenetic changes in at-risk tissues and investigate whether these changes are mechanistically linked to cancer, study whether we can neutralise this process and measure success in the organs at risk, and ideally in easy to access samples such as blood, buccal and cervical cells.
In my Department for Women’s Cancer we have assembled a powerful interdisciplinary team including computational biologists, functionalists, immunologists and clinician scientists linked to leading patient advocacy groups which is extremely well placed to lead this pioneering project to develop the fundamental understanding of cancer development in women with BRCA mutations. To reset the epigenome, re-establishing normal cell identity and consequently reducing cancer risk without the need for surgery and being able to monitor the efficacy using multicellular epigenetic outcome predictors will be a major scientific and medical breakthrough and possibly applicable to other chronic diseases.
Summary
Recent evidence demonstrates that cancer is overtaking cardiovascular disease as the number one cause of mortality in Europe. This is largely due to the lack of preventative measures for common (e.g. breast) or highly fatal (e.g. ovarian) human cancers. Most cancers are multifactorial in origin. The core hypothesis of this research programme is that the extremely high risk of BRCA1/2 germline mutation carriers to develop breast and ovarian cancer is a net consequence of cell-autonomous (direct effect of BRCA mutation in cells at risk) and cell non-autonomous (produced in distant organs and affecting organs at risk) factors which both trigger epigenetic, cancer-initiating effects.
The project’s aims are centered around the principles of systems medicine and built on a large cohort of BRCA mutation carriers and controls who will be offered newly established cancer screening programmes. We will uncover how ‘cell non-autonomous’ factors work, provide detail on the epigenetic changes in at-risk tissues and investigate whether these changes are mechanistically linked to cancer, study whether we can neutralise this process and measure success in the organs at risk, and ideally in easy to access samples such as blood, buccal and cervical cells.
In my Department for Women’s Cancer we have assembled a powerful interdisciplinary team including computational biologists, functionalists, immunologists and clinician scientists linked to leading patient advocacy groups which is extremely well placed to lead this pioneering project to develop the fundamental understanding of cancer development in women with BRCA mutations. To reset the epigenome, re-establishing normal cell identity and consequently reducing cancer risk without the need for surgery and being able to monitor the efficacy using multicellular epigenetic outcome predictors will be a major scientific and medical breakthrough and possibly applicable to other chronic diseases.
Max ERC Funding
2 497 841 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym BUNGEE
Project Directed crop breeding using jumping genes
Researcher (PI) Etienne BUCHER
Host Institution (HI) EIDGENOESSISCHES DEPARTEMENT FUER WIRTSCHAFT, BILDUNG UND FORSCHUNG
Call Details Consolidator Grant (CoG), LS9, ERC-2016-COG
Summary The rapidly changing climate puts commonly used crop plants under strong pressure. It is therefore essential to develop novel breeding technologies to rapidly enhance crops to better withstand newly emerging stresses.
Interestingly, a clear link between transposable elements (TEs), crop improvement and varietal diversification exists. Furthermore, in recent years the importance of (TEs) in evolution and adaptation to stresses has been recognized. However the use of TEs in crop breeding is currently very limited because it is not possible to control TE mobility. My research group has identified a novel highly conserved epigenetic silencing mechanism that represses the activity of TEs in Arabidopsis. We also found drugs capable of inhibiting this mechanism. Because these drugs target highly conserved enzymes we were able to show that our drug treatment is also effective in rice. We are therefore able to produce TE bursts in a controlled manner in virtually any plant. We can thus, for the first time, generate and study TE bursts in crop plants in real time. More importantly, we found that the accumulation of novel insertions of a heat-stress inducible TE produced plants that, at a high frequency, were more resistant to heat stress. This suggests that the stress that was initially applied to activate a specific TE in the parent, lead to an improved tolerance to that specific stress in the progeny of that plant in a very straight-forward manner.
In this project I propose to accelerate plant breeding by testing and implementing a revolutionary TE-directed crop improvement technology. For that I plan to 1. Mobilize TEs in crop plants using selected stresses 2. Using these mobilized stress-responsive TEs breed novel crop plants resistant to those selected stresses and 3. Study the genetic and epigenetic impact of TE mobilization on host genomes. This project will have a broad impact on crop improvement and on the basic understanding of the evolutionary importance of TEs.
Summary
The rapidly changing climate puts commonly used crop plants under strong pressure. It is therefore essential to develop novel breeding technologies to rapidly enhance crops to better withstand newly emerging stresses.
Interestingly, a clear link between transposable elements (TEs), crop improvement and varietal diversification exists. Furthermore, in recent years the importance of (TEs) in evolution and adaptation to stresses has been recognized. However the use of TEs in crop breeding is currently very limited because it is not possible to control TE mobility. My research group has identified a novel highly conserved epigenetic silencing mechanism that represses the activity of TEs in Arabidopsis. We also found drugs capable of inhibiting this mechanism. Because these drugs target highly conserved enzymes we were able to show that our drug treatment is also effective in rice. We are therefore able to produce TE bursts in a controlled manner in virtually any plant. We can thus, for the first time, generate and study TE bursts in crop plants in real time. More importantly, we found that the accumulation of novel insertions of a heat-stress inducible TE produced plants that, at a high frequency, were more resistant to heat stress. This suggests that the stress that was initially applied to activate a specific TE in the parent, lead to an improved tolerance to that specific stress in the progeny of that plant in a very straight-forward manner.
In this project I propose to accelerate plant breeding by testing and implementing a revolutionary TE-directed crop improvement technology. For that I plan to 1. Mobilize TEs in crop plants using selected stresses 2. Using these mobilized stress-responsive TEs breed novel crop plants resistant to those selected stresses and 3. Study the genetic and epigenetic impact of TE mobilization on host genomes. This project will have a broad impact on crop improvement and on the basic understanding of the evolutionary importance of TEs.
Max ERC Funding
1 965 625 €
Duration
Start date: 2017-06-01, End date: 2022-05-31
Project acronym CASCAde
Project Confidentiality-preserving Security Assurance
Researcher (PI) Thomas GROSS
Host Institution (HI) UNIVERSITY OF NEWCASTLE UPON TYNE
Call Details Starting Grant (StG), PE6, ERC-2016-STG
Summary "This proposal aims to create a new generation of security assurance. It investigates whether one can certify an inter-connected dynamically changing system in such a way that one can prove its security properties without disclosing sensitive information about the system's blueprint.
This has several compelling advantages. First, the security of large-scale dynamically changing systems will be significantly improved. Second, we can prove properties of topologies, hosts and users who participate in transactions in one go, while keeping sensitive information confidential. Third, we can prove the integrity of graph data structures to others, while maintaining their their confidentiality. This will benefit EU governments and citizens through the increased security of critical systems.
The proposal pursues the main research hypothesis that usable confidentiality-preserving security assurance will trigger a paradigm shift in security and dependability. It will pursue this objective by the creation of new cryptographic techniques to certify and prove properties of graph data structures. A preliminary investigation in 2015 showed that graph signature schemes are indeed feasible. The essence of this solution can be traced back to my earlier research on highly efficient attribute encodings for anonymous credential schemes in 2008.
However, the invention of graph signature schemes only clears one obstacle in a long journey to create a new generation of security assurance systems. There are still many complex obstacles, first and foremost, assuring ""soundness"" in the sense that integrity proofs a verifier accepts translate to the state of the system at that time. The work program involves six WPs: 1) to develop graph signatures and new cryptographic primitives; 2) to establish cross-system soundness; 3) to handle scale and change; 4) to establish human trust and usability; 5) to create new architectures; and 6) to test prototypes in practice."
Summary
"This proposal aims to create a new generation of security assurance. It investigates whether one can certify an inter-connected dynamically changing system in such a way that one can prove its security properties without disclosing sensitive information about the system's blueprint.
This has several compelling advantages. First, the security of large-scale dynamically changing systems will be significantly improved. Second, we can prove properties of topologies, hosts and users who participate in transactions in one go, while keeping sensitive information confidential. Third, we can prove the integrity of graph data structures to others, while maintaining their their confidentiality. This will benefit EU governments and citizens through the increased security of critical systems.
The proposal pursues the main research hypothesis that usable confidentiality-preserving security assurance will trigger a paradigm shift in security and dependability. It will pursue this objective by the creation of new cryptographic techniques to certify and prove properties of graph data structures. A preliminary investigation in 2015 showed that graph signature schemes are indeed feasible. The essence of this solution can be traced back to my earlier research on highly efficient attribute encodings for anonymous credential schemes in 2008.
However, the invention of graph signature schemes only clears one obstacle in a long journey to create a new generation of security assurance systems. There are still many complex obstacles, first and foremost, assuring ""soundness"" in the sense that integrity proofs a verifier accepts translate to the state of the system at that time. The work program involves six WPs: 1) to develop graph signatures and new cryptographic primitives; 2) to establish cross-system soundness; 3) to handle scale and change; 4) to establish human trust and usability; 5) to create new architectures; and 6) to test prototypes in practice."
Max ERC Funding
1 485 643 €
Duration
Start date: 2017-11-01, End date: 2022-10-31
