Project acronym BrainNanoFlow
Project Nanoscale dynamics in the extracellular space of the brain in vivo
Researcher (PI) Juan Alberto VARELA
Host Institution (HI) THE UNIVERSITY COURT OF THE UNIVERSITY OF ST ANDREWS
Call Details Starting Grant (StG), LS5, ERC-2018-STG
Summary Aggregates of proteins such as amyloid-beta and alpha-synuclein circulate the extracellular space of the brain (ECS) and are thought to be key players in the development of neurodegenerative diseases. The clearance of these aggregates (among other toxic metabolites) is a fundamental physiological feature of the brain which is poorly understood due to the lack of techniques to study the nanoscale organisation of the ECS. Exciting advances in this field have recently shown that clearance is enhanced during sleep due to a major volume change in the ECS, facilitating the flow of the interstitial fluid. However, this process has only been characterised at a low spatial resolution while the physiological changes occur at the nanoscale. The recently proposed “glymphatic” pathway still remains controversial, as there are no techniques capable of distinguishing between diffusion and bulk flow in the ECS of living animals. Understanding these processes at a higher spatial resolution requires the development of single-molecule imaging techniques that can study the brain in living animals. Taking advantage of the strategies I have recently developed to target single-molecules in the brain in vivo with nanoparticles, we will do “nanoscopy” in living animals. Our proposal will test the glymphatic pathway at the spatial scale in which events happen, and explore how sleep and wake cycles alter the ECS and the diffusion of receptors in neuronal plasma membrane. Overall, BrainNanoFlow aims to understand how nanoscale changes in the ECS facilitate clearance of protein aggregates. We will also provide new insights to the pathological consequences of impaired clearance, focusing on the interactions between these aggregates and their putative receptors. Being able to perform single-molecule studies in vivo in the brain will be a major breakthrough in neurobiology, making possible the study of physiological and pathological processes that cannot be studied in simpler brain preparations.
Summary
Aggregates of proteins such as amyloid-beta and alpha-synuclein circulate the extracellular space of the brain (ECS) and are thought to be key players in the development of neurodegenerative diseases. The clearance of these aggregates (among other toxic metabolites) is a fundamental physiological feature of the brain which is poorly understood due to the lack of techniques to study the nanoscale organisation of the ECS. Exciting advances in this field have recently shown that clearance is enhanced during sleep due to a major volume change in the ECS, facilitating the flow of the interstitial fluid. However, this process has only been characterised at a low spatial resolution while the physiological changes occur at the nanoscale. The recently proposed “glymphatic” pathway still remains controversial, as there are no techniques capable of distinguishing between diffusion and bulk flow in the ECS of living animals. Understanding these processes at a higher spatial resolution requires the development of single-molecule imaging techniques that can study the brain in living animals. Taking advantage of the strategies I have recently developed to target single-molecules in the brain in vivo with nanoparticles, we will do “nanoscopy” in living animals. Our proposal will test the glymphatic pathway at the spatial scale in which events happen, and explore how sleep and wake cycles alter the ECS and the diffusion of receptors in neuronal plasma membrane. Overall, BrainNanoFlow aims to understand how nanoscale changes in the ECS facilitate clearance of protein aggregates. We will also provide new insights to the pathological consequences of impaired clearance, focusing on the interactions between these aggregates and their putative receptors. Being able to perform single-molecule studies in vivo in the brain will be a major breakthrough in neurobiology, making possible the study of physiological and pathological processes that cannot be studied in simpler brain preparations.
Max ERC Funding
1 552 948 €
Duration
Start date: 2018-12-01, End date: 2023-11-30
Project acronym CANCEREVO
Project Deciphering and predicting the evolution of cancer cell populations
Researcher (PI) Marco Helmut GERLINGER
Host Institution (HI) THE INSTITUTE OF CANCER RESEARCH: ROYAL CANCER HOSPITAL
Call Details Consolidator Grant (CoG), LS7, ERC-2018-COG
Summary The fundamental evolutionary nature of cancer is well recognized but an understanding of the dynamic evolutionary changes occurring throughout a tumour’s lifetime and their clinical implications is in its infancy. Current approaches to reveal cancer evolution by sequencing of multiple biopsies remain of limited use in the clinic due to sample access problems in multi-metastatic disease. Circulating tumour DNA (ctDNA) is thought to comprehensively sample subclones across metastatic sites. However, available technologies either have high sensitivity but are restricted to the analysis of small gene panels or they allow sequencing of large target regions such as exomes but with too limited sensitivity to detect rare subclones. We developed a novel error corrected sequencing technology that will be applied to perform deep exome sequencing on longitudinal ctDNA samples from highly heterogeneous metastatic gastro-oesophageal carcinomas. This will track the evolution of the entire cancer population over the lifetime of these tumours, from metastatic disease over drug therapy to end-stage disease and enable ground breaking insights into cancer population evolution rules and mechanisms. Specifically, we will: 1. Define the genomic landscape and drivers of metastatic and end stage disease. 2. Understand the rules of cancer evolutionary dynamics of entire cancer cell populations. 3. Predict cancer evolution and define the limits of predictability. 4. Rapidly identify drug resistance mechanisms to chemo- and immunotherapy based on signals of Darwinian selection such as parallel and convergent evolution. Our sequencing technology and analysis framework will also transform the way cancer evolution metrics can be accessed and interpreted in the clinic which will have major impacts, ranging from better biomarkers to predict cancer evolution to the identification of drug targets that drive disease progression and therapy resistance.
Summary
The fundamental evolutionary nature of cancer is well recognized but an understanding of the dynamic evolutionary changes occurring throughout a tumour’s lifetime and their clinical implications is in its infancy. Current approaches to reveal cancer evolution by sequencing of multiple biopsies remain of limited use in the clinic due to sample access problems in multi-metastatic disease. Circulating tumour DNA (ctDNA) is thought to comprehensively sample subclones across metastatic sites. However, available technologies either have high sensitivity but are restricted to the analysis of small gene panels or they allow sequencing of large target regions such as exomes but with too limited sensitivity to detect rare subclones. We developed a novel error corrected sequencing technology that will be applied to perform deep exome sequencing on longitudinal ctDNA samples from highly heterogeneous metastatic gastro-oesophageal carcinomas. This will track the evolution of the entire cancer population over the lifetime of these tumours, from metastatic disease over drug therapy to end-stage disease and enable ground breaking insights into cancer population evolution rules and mechanisms. Specifically, we will: 1. Define the genomic landscape and drivers of metastatic and end stage disease. 2. Understand the rules of cancer evolutionary dynamics of entire cancer cell populations. 3. Predict cancer evolution and define the limits of predictability. 4. Rapidly identify drug resistance mechanisms to chemo- and immunotherapy based on signals of Darwinian selection such as parallel and convergent evolution. Our sequencing technology and analysis framework will also transform the way cancer evolution metrics can be accessed and interpreted in the clinic which will have major impacts, ranging from better biomarkers to predict cancer evolution to the identification of drug targets that drive disease progression and therapy resistance.
Max ERC Funding
2 000 000 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym CELL-in-CELL
Project Understanding host cellular systems that drive an endosymbiotic interaction
Researcher (PI) Thomas RICHARDS
Host Institution (HI) THE UNIVERSITY OF EXETER
Call Details Consolidator Grant (CoG), LS8, ERC-2018-COG
Summary Endosymbiosis is a key phenomenon that has played a critical role in shaping biological diversity, driving gene transfer and generating cellular complexity. During the process of endosymbiosis, one cell is integrated within another to become a critical component of the recipient, changing its characteristics and allowing it to chart a distinct evolutionary trajectory. Endosymbiosis was fundamentally important to the origin and evolution of eukaryotic cellular complexity, because an endosymbiotic event roots the diversification of all known eukaryotes and endosymbiosis has continually driven the diversification of huge sections of the eukaryotic tree of life. Little is known about how nascent endosymbioses are established or how they go on to form novel cellular compartments known as endosymbiotic organelles. Paramecium bursaria is a single celled protist that harbours multiple green algae within to form a phototrophic endosymbiosis. This relationship is nascent as the partners can be separated, grown separately, and the endosymbiosis reinitiated. This project will identify, for the first time, the gene functions that enable one cell to incubate another within to form a stable endosymbiotic interaction. To identify and explore which host genes control endosymbiosis in P. bursaria we have developed RNAi silencing technology. In the proposed project we will conduct genome sequencing, followed by a large-scale RNAi knockdown screening experiment, to identify host genes that when silenced perturb the endosymbiont population. Having identified candidate genes, we will investigate the localisation and function of the host encoded proteins. This project will significantly change our current understanding of the evolutionary phenomenon of endosymbiosis by identifying the cellular adaptations that drive these interactions, advancing our understanding of how these important moments in evolution occur and how core cellular systems can diversify in function.
Summary
Endosymbiosis is a key phenomenon that has played a critical role in shaping biological diversity, driving gene transfer and generating cellular complexity. During the process of endosymbiosis, one cell is integrated within another to become a critical component of the recipient, changing its characteristics and allowing it to chart a distinct evolutionary trajectory. Endosymbiosis was fundamentally important to the origin and evolution of eukaryotic cellular complexity, because an endosymbiotic event roots the diversification of all known eukaryotes and endosymbiosis has continually driven the diversification of huge sections of the eukaryotic tree of life. Little is known about how nascent endosymbioses are established or how they go on to form novel cellular compartments known as endosymbiotic organelles. Paramecium bursaria is a single celled protist that harbours multiple green algae within to form a phototrophic endosymbiosis. This relationship is nascent as the partners can be separated, grown separately, and the endosymbiosis reinitiated. This project will identify, for the first time, the gene functions that enable one cell to incubate another within to form a stable endosymbiotic interaction. To identify and explore which host genes control endosymbiosis in P. bursaria we have developed RNAi silencing technology. In the proposed project we will conduct genome sequencing, followed by a large-scale RNAi knockdown screening experiment, to identify host genes that when silenced perturb the endosymbiont population. Having identified candidate genes, we will investigate the localisation and function of the host encoded proteins. This project will significantly change our current understanding of the evolutionary phenomenon of endosymbiosis by identifying the cellular adaptations that drive these interactions, advancing our understanding of how these important moments in evolution occur and how core cellular systems can diversify in function.
Max ERC Funding
2 602 483 €
Duration
Start date: 2019-06-01, End date: 2024-05-31
Project acronym COEVOPRO
Project Drivers and consequences of coevolution in protective symbiosis
Researcher (PI) Kayla KING
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Call Details Starting Grant (StG), LS8, ERC-2018-STG
Summary All organisms in nature are targets for parasite attack. Over a century ago, it was first observed that symbiotic species living in hosts can provide a strong barrier against infection, beyond the host’s own defence responses. We now know that ‘protective’ microbial symbiont species are key components of plant, animal, and human microbiota, shaping host health in the face of parasite infection. I have shown that microbes can evolve within days to protect, providing the possibility that microbe-mediated defences can take-over from hosts in fighting with parasites over evolutionary time. This new discovery of an evolvable microbe-mediated defence challenges our fundamental understanding of the host-parasite relationship. Here, I will use a novel nematode-microbe interaction, an experimental evolution approach, and assays of phenotypic and genomic changes (the latter using state-of-the-art sequencing and CRISPR-Cas9 technologies) to generate new insights into the drivers and consequences of coevolving protective symbioses. Specifically, the objectives are to test: (i) the ability of microbe-mediated protection to evolve more rapidly than host-encoded resistance, (ii) the impacts of evolvable protective microbes on host-parasite coevolution, and the effect of community complexity, in the form of (iii) parasite and (iv) within-host microbial heterogeneity, in shaping host-protective microbe coevolution from scratch. Together, these objectives will generate a new, synthetic understanding of how protective symbioses evolve and influence host resistance and parasite infectivity, with far-reaching implications for tackling coevolution in communities.
Summary
All organisms in nature are targets for parasite attack. Over a century ago, it was first observed that symbiotic species living in hosts can provide a strong barrier against infection, beyond the host’s own defence responses. We now know that ‘protective’ microbial symbiont species are key components of plant, animal, and human microbiota, shaping host health in the face of parasite infection. I have shown that microbes can evolve within days to protect, providing the possibility that microbe-mediated defences can take-over from hosts in fighting with parasites over evolutionary time. This new discovery of an evolvable microbe-mediated defence challenges our fundamental understanding of the host-parasite relationship. Here, I will use a novel nematode-microbe interaction, an experimental evolution approach, and assays of phenotypic and genomic changes (the latter using state-of-the-art sequencing and CRISPR-Cas9 technologies) to generate new insights into the drivers and consequences of coevolving protective symbioses. Specifically, the objectives are to test: (i) the ability of microbe-mediated protection to evolve more rapidly than host-encoded resistance, (ii) the impacts of evolvable protective microbes on host-parasite coevolution, and the effect of community complexity, in the form of (iii) parasite and (iv) within-host microbial heterogeneity, in shaping host-protective microbe coevolution from scratch. Together, these objectives will generate a new, synthetic understanding of how protective symbioses evolve and influence host resistance and parasite infectivity, with far-reaching implications for tackling coevolution in communities.
Max ERC Funding
1 499 275 €
Duration
Start date: 2019-02-01, End date: 2024-01-31
Project acronym CRYOREP
Project Chromosome Replication Visualised by Cryo-EM
Researcher (PI) Alessandro COSTA
Host Institution (HI) THE FRANCIS CRICK INSTITUTE LIMITED
Call Details Consolidator Grant (CoG), LS1, ERC-2018-COG
Summary In eukaryotic cells, DNA replication is tightly regulated to ensure that the genome is duplicated only once per cell cycle. Errors in the control mechanisms that regulate chromosome ploidy cause genomic instability, which is linked to the development of cellular abnormalities, genetic disease and the onset of cancer. Recent reconstitution experiments performed with purified proteins revealed that initiation of eukaryotic genome duplication requires three distinct steps. First, DNA replication start sites are identified and targeted for the loading of an inactive MCM helicase motor, which encircles the double helix. Second, MCM activators are recruited, causing duplex-DNA untwisting. Third, upon interaction with a firing factor, the MCM ring opens to eject one DNA strand, leading to unwinding of the replication fork and duplication by dedicated replicative polymerases. These three events are not understood at a molecular level. Structural investigations so far aimed at imaging artificially isolated replication steps and used simplified templates, such as linear duplex DNA to study helicase loading or pre-formed forks to understand unwinding. However, the natural substrate of the eukaryotic replication machinery is not DNA but rather chromatin, formed of nucleosome arrays that compact the genome. Chromatin plays important regulatory roles in all steps of DNA replication, by dictating origin start-site selection and stimulating replication fork progression. Only by studying chromatin replication, we argue, will we understand the molecular basis of genome propagation. To this end, we have developed new protocols to perform visual biochemistry experiments under the cryo-electron microscope, to image chromatin duplication at high resolution, frozen as it is being catalysed. Using these strategies we want to generate a molecular movie of the entire replication reaction. Our achievements will change the way we think about genome stability in eukaryotic cells.
Summary
In eukaryotic cells, DNA replication is tightly regulated to ensure that the genome is duplicated only once per cell cycle. Errors in the control mechanisms that regulate chromosome ploidy cause genomic instability, which is linked to the development of cellular abnormalities, genetic disease and the onset of cancer. Recent reconstitution experiments performed with purified proteins revealed that initiation of eukaryotic genome duplication requires three distinct steps. First, DNA replication start sites are identified and targeted for the loading of an inactive MCM helicase motor, which encircles the double helix. Second, MCM activators are recruited, causing duplex-DNA untwisting. Third, upon interaction with a firing factor, the MCM ring opens to eject one DNA strand, leading to unwinding of the replication fork and duplication by dedicated replicative polymerases. These three events are not understood at a molecular level. Structural investigations so far aimed at imaging artificially isolated replication steps and used simplified templates, such as linear duplex DNA to study helicase loading or pre-formed forks to understand unwinding. However, the natural substrate of the eukaryotic replication machinery is not DNA but rather chromatin, formed of nucleosome arrays that compact the genome. Chromatin plays important regulatory roles in all steps of DNA replication, by dictating origin start-site selection and stimulating replication fork progression. Only by studying chromatin replication, we argue, will we understand the molecular basis of genome propagation. To this end, we have developed new protocols to perform visual biochemistry experiments under the cryo-electron microscope, to image chromatin duplication at high resolution, frozen as it is being catalysed. Using these strategies we want to generate a molecular movie of the entire replication reaction. Our achievements will change the way we think about genome stability in eukaryotic cells.
Max ERC Funding
2 000 000 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym DISEASE
Project Disease Risk And Immune Strategies In Social Insects
Researcher (PI) Nathalie STROEYMEYT
Host Institution (HI) UNIVERSITY OF BRISTOL
Call Details Starting Grant (StG), LS8, ERC-2018-STG
Summary Group-living has been predicted to have opposing effects on disease risk and immune strategies. First, since repeated contacts between individuals facilitate pathogen transmission, sociality may favour high investment in personal immunity. Alternatively, because social animals can limit disease spread through collective sanitary actions (e.g., mutual grooming) or organisational features (e.g., division of the group’s social network into distinct subsets), sociality may instead favour low investment in personal immunity. The overall goal of this project is to experimentally test these conflicting predictions in ants using advanced data collection and analytical tools. I will first quantify the effect of social organisation on disease transmission using a combination of automated behavioural tracking, social network analysis, and empirical tracking of transmission markers (fluorescent beads). Experimental network manipulations and controlled disease seeding by a robotic ant will allow key predictions from network epidemiology to be tested, with broad implications for disease management strategies. I will then study the effect of colony size on social network structure and disease transmission, and how this in turn affects investment in personal immunity. This will shed light on far-reaching hypotheses about the effect of group size on social organisation ('size-complexity’ hypothesis) and immune investment (‘density-dependent prophylaxis’). Finally, I will explore whether prolonged pathogen pressure induces colonies to reinforce the transmission-inhibiting aspects of their social organisation (e.g., colony fragmentation) or to invest more in personal immunity. This project will represent the first empirical investigation of the role of social organisation in disease risk management, and allow its importance to be compared with other immune strategies. This will constitute a significant advance in our understanding of the complex feedback between sociality and health.
Summary
Group-living has been predicted to have opposing effects on disease risk and immune strategies. First, since repeated contacts between individuals facilitate pathogen transmission, sociality may favour high investment in personal immunity. Alternatively, because social animals can limit disease spread through collective sanitary actions (e.g., mutual grooming) or organisational features (e.g., division of the group’s social network into distinct subsets), sociality may instead favour low investment in personal immunity. The overall goal of this project is to experimentally test these conflicting predictions in ants using advanced data collection and analytical tools. I will first quantify the effect of social organisation on disease transmission using a combination of automated behavioural tracking, social network analysis, and empirical tracking of transmission markers (fluorescent beads). Experimental network manipulations and controlled disease seeding by a robotic ant will allow key predictions from network epidemiology to be tested, with broad implications for disease management strategies. I will then study the effect of colony size on social network structure and disease transmission, and how this in turn affects investment in personal immunity. This will shed light on far-reaching hypotheses about the effect of group size on social organisation ('size-complexity’ hypothesis) and immune investment (‘density-dependent prophylaxis’). Finally, I will explore whether prolonged pathogen pressure induces colonies to reinforce the transmission-inhibiting aspects of their social organisation (e.g., colony fragmentation) or to invest more in personal immunity. This project will represent the first empirical investigation of the role of social organisation in disease risk management, and allow its importance to be compared with other immune strategies. This will constitute a significant advance in our understanding of the complex feedback between sociality and health.
Max ERC Funding
1 499 995 €
Duration
Start date: 2019-04-01, End date: 2024-03-31
Project acronym Division
Project Division of Labour and the Evolution of Complexity
Researcher (PI) Stuart WEST
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Call Details Advanced Grant (AdG), LS8, ERC-2018-ADG
Summary Division of labour is fundamental to the evolution of life on earth, allowing genes to work together to form genomes, cells to build organisms, pathogens to escape immune attack, and eusocial insect societies to achieve ecological dominance. Consequently, if we want to understand how life on earth evolved, we need to understand why division of labour does or, just as importantly, does not evolve. There are two major outstanding problems for our understanding of division of labour: First, how can we explain why division of labour has evolved with some traits, in some species, but not others? Given the potential benefits of dividing labour, why does it not arise more frequently in cooperative species? Second, in cases where division of labour has evolved, how can we explain the form that it takes? Why do factors such as the degree of specialisation, or mechanism used to produce different phenotypes, vary across species? I will combine my social evolution expertise with novel synthetic and genomic approaches to address these problems. I will explain the distribution and form of division of labour in the natural world, with an interdisciplinary research programme, divided into four work packages: (1) I will provide the first experimental test of the fundamental assumption that division of labour provides an efficiency benefit, by synthetically manipulating bacteria. (2) I will test how selection has acted for and against the evolution of division of labour in natural populations of bacteria, using novel genomic analysis techniques. (3) I will determine why division of labour evolved in some species, but not others, with an across species study on insects, and experimental evolution of bacteria. (4) I will establish a new field of research on why different species use different mechanisms to divide labour: genetic differences, environmental cues, or random assignment of roles. I will develop theory to explain this variation, and test this theory experimentally.
Summary
Division of labour is fundamental to the evolution of life on earth, allowing genes to work together to form genomes, cells to build organisms, pathogens to escape immune attack, and eusocial insect societies to achieve ecological dominance. Consequently, if we want to understand how life on earth evolved, we need to understand why division of labour does or, just as importantly, does not evolve. There are two major outstanding problems for our understanding of division of labour: First, how can we explain why division of labour has evolved with some traits, in some species, but not others? Given the potential benefits of dividing labour, why does it not arise more frequently in cooperative species? Second, in cases where division of labour has evolved, how can we explain the form that it takes? Why do factors such as the degree of specialisation, or mechanism used to produce different phenotypes, vary across species? I will combine my social evolution expertise with novel synthetic and genomic approaches to address these problems. I will explain the distribution and form of division of labour in the natural world, with an interdisciplinary research programme, divided into four work packages: (1) I will provide the first experimental test of the fundamental assumption that division of labour provides an efficiency benefit, by synthetically manipulating bacteria. (2) I will test how selection has acted for and against the evolution of division of labour in natural populations of bacteria, using novel genomic analysis techniques. (3) I will determine why division of labour evolved in some species, but not others, with an across species study on insects, and experimental evolution of bacteria. (4) I will establish a new field of research on why different species use different mechanisms to divide labour: genetic differences, environmental cues, or random assignment of roles. I will develop theory to explain this variation, and test this theory experimentally.
Max ERC Funding
2 491 766 €
Duration
Start date: 2020-01-01, End date: 2024-12-31
Project acronym ENDOMICS
Project Raman Endoscopic Proteo-lipidomics of Bladder Cancer
Researcher (PI) Mads SYLVEST BERGHOLT
Host Institution (HI) KING'S COLLEGE LONDON
Call Details Starting Grant (StG), LS7, ERC-2018-STG
Summary The goal of ENDOMICS is to drive forward a new paradigm of Raman endoscopic technology that enables proteomic and lipidomic analysis for diagnosis of bladder cancers in vivo. Raman endoscopy is a label-free optical technique that can provide a point-wise vibrational molecular fingerprint of tissue “optical biopsy” for cancer diagnosis in vivo. State-of-the-art Raman endoscopy, however, does not offer specific compositional analysis or insights into molecular biology of tissue. This is because the vibrational Raman bands are overlapping and cannot be deciphered into the myriad of biomolecules in complex tissue.
We will introduce a ground-breaking new methodology to enable Raman proteomic and lipidomic analysis in vivo. To this end, heterospectral co-registered Raman and mass spectrometry imaging will be used to develop a multivariate regression model “Rosetta Stone” for translating vibrational structural information (Raman spectroscopy) into compositional information. To meet the unmet clinical needs in urology we will tailor the first fibre-optic Raman endoscopic technology that can measure depth-dependent molecular profiles to simultaneously enable detection, grading and staging of bladder cancers. We will finally conduct a clinical trial by applying the technique to measure a comprehensive molecular database of bladder pathologies in vivo. The latter will allow for the identification of proteomic and lipidomic biomarkers to develop novel algorithms for real-time diagnosis of bladder cancers.
The synergy between scientific and technological advances in ENDOMICS will break ground for shedding new light on the molecular biology of bladder cancer in vivo including new insights into clinical diversity and identification of biomarkers for diagnostics, prognostics and novel therapeutic targets.
Summary
The goal of ENDOMICS is to drive forward a new paradigm of Raman endoscopic technology that enables proteomic and lipidomic analysis for diagnosis of bladder cancers in vivo. Raman endoscopy is a label-free optical technique that can provide a point-wise vibrational molecular fingerprint of tissue “optical biopsy” for cancer diagnosis in vivo. State-of-the-art Raman endoscopy, however, does not offer specific compositional analysis or insights into molecular biology of tissue. This is because the vibrational Raman bands are overlapping and cannot be deciphered into the myriad of biomolecules in complex tissue.
We will introduce a ground-breaking new methodology to enable Raman proteomic and lipidomic analysis in vivo. To this end, heterospectral co-registered Raman and mass spectrometry imaging will be used to develop a multivariate regression model “Rosetta Stone” for translating vibrational structural information (Raman spectroscopy) into compositional information. To meet the unmet clinical needs in urology we will tailor the first fibre-optic Raman endoscopic technology that can measure depth-dependent molecular profiles to simultaneously enable detection, grading and staging of bladder cancers. We will finally conduct a clinical trial by applying the technique to measure a comprehensive molecular database of bladder pathologies in vivo. The latter will allow for the identification of proteomic and lipidomic biomarkers to develop novel algorithms for real-time diagnosis of bladder cancers.
The synergy between scientific and technological advances in ENDOMICS will break ground for shedding new light on the molecular biology of bladder cancer in vivo including new insights into clinical diversity and identification of biomarkers for diagnostics, prognostics and novel therapeutic targets.
Max ERC Funding
1 490 950 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym EPISWITCH
Project Mechanistic basis of nucleation and spreading underlying a Polycomb-mediated epigenetic switch
Researcher (PI) Caroline DEAN
Host Institution (HI) JOHN INNES CENTRE
Call Details Advanced Grant (AdG), LS1, ERC-2018-ADG
Summary Polycomb-mediated epigenetic regulation of gene expression is central to development and environmental plasticity in most eukaryotes. Polycomb Repressive Complex 2 (PRC2) is targeted to genomic sites, known as nucleation regions or Polycomb Response elements, and switches those targets to an epigenetically silenced state. But what constitutes the switching mechanism is unknown. Core epigenetic switching mechanisms have proven difficult to elucidate due to the complex molecular feedbacks involved. We will exploit a well-characterized gene system, Arabidopsis FLC, to address a central question – what are the core events that constitute a Polycomb switch?
Our hypothesis is that the epigenetic switch involves stochastic conformationally-induced oligomerization, generating an ordered protein assembly of PRC2 accessory proteins and PRC2, that is then robustly distributed onto both daughter strands during DNA replication through self-templating feedback mechanisms. We will determine the local chromatin features that promote the epigenetic switch independently at each allele (i.e., in cis). We will also dissect the involvement of DNA replication in the transition from metastable to long-term epigenetic silencing, associated with the Polycomb complex spreading across the body of the locus.
This interdisciplinary proposal combines molecular genetics/biology, computational biology, with structural biology, achieved through close working relationships with Prof. Martin Howard (John Innes Centre), Dr Mariann Bienz (MRC Laboratory of Molecular Biology, Cambridge) and Dr Julian Sale, (MRC Laboratory of Molecular Biology, Cambridge). This blue-sky programme aims to provide important new concepts in Polycomb-mediated epigenetic switching mechanisms, important for the whole epigenetics field.
Summary
Polycomb-mediated epigenetic regulation of gene expression is central to development and environmental plasticity in most eukaryotes. Polycomb Repressive Complex 2 (PRC2) is targeted to genomic sites, known as nucleation regions or Polycomb Response elements, and switches those targets to an epigenetically silenced state. But what constitutes the switching mechanism is unknown. Core epigenetic switching mechanisms have proven difficult to elucidate due to the complex molecular feedbacks involved. We will exploit a well-characterized gene system, Arabidopsis FLC, to address a central question – what are the core events that constitute a Polycomb switch?
Our hypothesis is that the epigenetic switch involves stochastic conformationally-induced oligomerization, generating an ordered protein assembly of PRC2 accessory proteins and PRC2, that is then robustly distributed onto both daughter strands during DNA replication through self-templating feedback mechanisms. We will determine the local chromatin features that promote the epigenetic switch independently at each allele (i.e., in cis). We will also dissect the involvement of DNA replication in the transition from metastable to long-term epigenetic silencing, associated with the Polycomb complex spreading across the body of the locus.
This interdisciplinary proposal combines molecular genetics/biology, computational biology, with structural biology, achieved through close working relationships with Prof. Martin Howard (John Innes Centre), Dr Mariann Bienz (MRC Laboratory of Molecular Biology, Cambridge) and Dr Julian Sale, (MRC Laboratory of Molecular Biology, Cambridge). This blue-sky programme aims to provide important new concepts in Polycomb-mediated epigenetic switching mechanisms, important for the whole epigenetics field.
Max ERC Funding
2 101 325 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym EVOCELFATE
Project Evolution of cell fate specification modes in spiral cleavage
Researcher (PI) Jose Maria MARTIN DURAN
Host Institution (HI) QUEEN MARY UNIVERSITY OF LONDON
Call Details Starting Grant (StG), LS3, ERC-2018-STG
Summary Spiral cleavage is a highly stereotypical early embryonic program, and the ancestral, defining feature to Spiralia, a major phylogenetic clade including almost half of the animal phyla. Remarkably, spiral-cleaving embryos specify homologous cell fates (e.g. the progenitor cell of posterodorsal structures) conditionally –via cell interactions– or autonomously –via segregation of maternal inputs. This variation occurs naturally, even between closely related species, and has been related to the precocious formation of adult characters (adultation) in larvae of autonomous spiral-cleaving species. How spiralian lineages repeatedly shifted between these two cell fate specification modes is largely unexplored, because the mechanisms controlling spiral cleavage are still poorly characterized.
This project tests the hypothesis that maternal chromatin and transcriptional regulators differentially incorporated in oocytes with autonomous spiral cleavage explain the evolution of this mode of cell fate specification. Through a comparative and phylogenetic-guided approach, we will combine bioinformatics, live imaging, and molecular and experimental techniques to: (i) Comprehensively identify differentially supplied maternal factors among spiral cleaving oocytes with distinct cell fate specification modes using comparative RNA-seq and proteomics; (ii) Uncover the developmental mechanisms driving conditional spiral cleavage, which is the ancestral embryonic mode; and (iii) Investigate how maternal chromatin and transcriptional regulators define early cell fates, and whether these factors account for the repeated evolution of autonomous specification modes.
Our results will fill a large gap of knowledge in our understanding of spiral cleavage and its evolution. In a broader context, this project will deliver fundamental insights into two core questions in evolutionary developmental biology: how early embryonic programs evolve, and how they contribute to phenotypic change.
Summary
Spiral cleavage is a highly stereotypical early embryonic program, and the ancestral, defining feature to Spiralia, a major phylogenetic clade including almost half of the animal phyla. Remarkably, spiral-cleaving embryos specify homologous cell fates (e.g. the progenitor cell of posterodorsal structures) conditionally –via cell interactions– or autonomously –via segregation of maternal inputs. This variation occurs naturally, even between closely related species, and has been related to the precocious formation of adult characters (adultation) in larvae of autonomous spiral-cleaving species. How spiralian lineages repeatedly shifted between these two cell fate specification modes is largely unexplored, because the mechanisms controlling spiral cleavage are still poorly characterized.
This project tests the hypothesis that maternal chromatin and transcriptional regulators differentially incorporated in oocytes with autonomous spiral cleavage explain the evolution of this mode of cell fate specification. Through a comparative and phylogenetic-guided approach, we will combine bioinformatics, live imaging, and molecular and experimental techniques to: (i) Comprehensively identify differentially supplied maternal factors among spiral cleaving oocytes with distinct cell fate specification modes using comparative RNA-seq and proteomics; (ii) Uncover the developmental mechanisms driving conditional spiral cleavage, which is the ancestral embryonic mode; and (iii) Investigate how maternal chromatin and transcriptional regulators define early cell fates, and whether these factors account for the repeated evolution of autonomous specification modes.
Our results will fill a large gap of knowledge in our understanding of spiral cleavage and its evolution. In a broader context, this project will deliver fundamental insights into two core questions in evolutionary developmental biology: how early embryonic programs evolve, and how they contribute to phenotypic change.
Max ERC Funding
1 500 000 €
Duration
Start date: 2019-02-01, End date: 2024-01-31
Project acronym EvolutioNeuroCircuit
Project Cellular and genetic bases of neural circuits evolution
Researcher (PI) Lucia PRIETO GODINO
Host Institution (HI) THE FRANCIS CRICK INSTITUTE LIMITED
Call Details Starting Grant (StG), LS5, ERC-2018-STG
Summary Sensory systems encode the world around us to produce context-dependent appropriate behaviours. However, we know little about the way new sensory evoked behaviours arise as neural circuits are re-shaped during evolution. Tackling this question requires a deep understanding of the circuits underlying specific behaviours and integration of this knowledge with tools from other fields, including evolutionary and developmental biology. Recent technological advancements on neural circuit interrogation and genome editing have put progress on this fundamental biological question within reach.
The olfactory system of the larval stage of the fly Drosophila melanogaster and related species is an ideal model for investigating these questions because (i) D. melanogaster has pioneered both the fields of population genetics and neurogenetics and (ii) its olfactory system is one of the best-characterised neural circuits. We will address the question of how olfactory circuits evolve by studying four species with divergent odour-guided behaviours through the following multidisciplinary aims:
1. Which olfactory pathways are targeted in the evolution of ecological specialisation? – Combining high-throughput behavioural assays, optogenetics and calcium imaging in the larva of all four species we will determine whether/which olfactory pathways have switched valences or sensitivity.
2. How have central neural circuits diverged? – We will address this question at unprecedented resolution through whole-brain calcium imaging and serial electron microscopy reconstruction.
3. What are the molecular and genetic bases of neural circuits rewiring during evolution? – Using transcriptomic profiling we will identify differentially expressed genes in conserved and divergent circuits across species, and functionally probe selected candidates to establish causality.
4. How do evolutionary forces shape olfactory circuits? – We will investigate this question using field studies and population genetics
Summary
Sensory systems encode the world around us to produce context-dependent appropriate behaviours. However, we know little about the way new sensory evoked behaviours arise as neural circuits are re-shaped during evolution. Tackling this question requires a deep understanding of the circuits underlying specific behaviours and integration of this knowledge with tools from other fields, including evolutionary and developmental biology. Recent technological advancements on neural circuit interrogation and genome editing have put progress on this fundamental biological question within reach.
The olfactory system of the larval stage of the fly Drosophila melanogaster and related species is an ideal model for investigating these questions because (i) D. melanogaster has pioneered both the fields of population genetics and neurogenetics and (ii) its olfactory system is one of the best-characterised neural circuits. We will address the question of how olfactory circuits evolve by studying four species with divergent odour-guided behaviours through the following multidisciplinary aims:
1. Which olfactory pathways are targeted in the evolution of ecological specialisation? – Combining high-throughput behavioural assays, optogenetics and calcium imaging in the larva of all four species we will determine whether/which olfactory pathways have switched valences or sensitivity.
2. How have central neural circuits diverged? – We will address this question at unprecedented resolution through whole-brain calcium imaging and serial electron microscopy reconstruction.
3. What are the molecular and genetic bases of neural circuits rewiring during evolution? – Using transcriptomic profiling we will identify differentially expressed genes in conserved and divergent circuits across species, and functionally probe selected candidates to establish causality.
4. How do evolutionary forces shape olfactory circuits? – We will investigate this question using field studies and population genetics
Max ERC Funding
1 312 500 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym FIRM
Project Form and Function of the Mitochondrial Retrograde Response
Researcher (PI) Michelangelo CAMPANELLA
Host Institution (HI) THE ROYAL VETERINARY COLLEGE
Call Details Consolidator Grant (CoG), LS4, ERC-2018-COG
Summary The molecular communication between mitochondria and nucleus is an integrated bi-directional crosstalk - anterograde (nucleus to mitochondria) and retrograde (mitochondria to nucleus) signalling pathways. The mitochondrial retrograde response (MRR) is driven by defective mitochondrial function, which increases cytosolic reactive oxygen species (ROS) and Ca2+. Metabolic reprogramming is a key feature in highly proliferative cells to meet the energy needs for rapid growth by generating substrates for cellular biogenesis. In these mitochondria retro-communicate with the nucleus to induce wide-ranging cytoprotective effects exploited to develop resistance against treatment and sustain uncontrolled growth. Recently, the mitochondrial management of cholesterol-derived intermediates for the synthesis of steroids has been demonstrated as a determinant in the oncogenic reprogramming of cellular environment.
We hypothesise that cholesterol-enriched domains facilitate the communication between remodelled mitochondria and nucleus to expedite MRR. This mechanism may be exploited during abnormal cell growth in which cholesterol metabolism and associated molecules are increased.
This application capitalizes on expertise in cell signalling and metabolism to interrogate core pathways and unveil molecular sensors and effectors that define form and function of the MRR by:
I. Elucidating the mechanism of metabolic regulation of MRR, describing the role exerted by cholesterol trafficking;
II. Unveiling microdomains for mito-nuclear communication established by remodelled, autophagy escaped, mitochondria;
III. Validating protocols to modulate and target MRR for diagnostic and therapeutic benefit;
The experimental plan will (i) define a molecular signalling axis that currently stands uncharacterized, (ii) provide mechanistic knowledge for preventive, and (iii) therapeutic applications to counteract deficiencies associated with stressed, dysregulated mitochondria.
Summary
The molecular communication between mitochondria and nucleus is an integrated bi-directional crosstalk - anterograde (nucleus to mitochondria) and retrograde (mitochondria to nucleus) signalling pathways. The mitochondrial retrograde response (MRR) is driven by defective mitochondrial function, which increases cytosolic reactive oxygen species (ROS) and Ca2+. Metabolic reprogramming is a key feature in highly proliferative cells to meet the energy needs for rapid growth by generating substrates for cellular biogenesis. In these mitochondria retro-communicate with the nucleus to induce wide-ranging cytoprotective effects exploited to develop resistance against treatment and sustain uncontrolled growth. Recently, the mitochondrial management of cholesterol-derived intermediates for the synthesis of steroids has been demonstrated as a determinant in the oncogenic reprogramming of cellular environment.
We hypothesise that cholesterol-enriched domains facilitate the communication between remodelled mitochondria and nucleus to expedite MRR. This mechanism may be exploited during abnormal cell growth in which cholesterol metabolism and associated molecules are increased.
This application capitalizes on expertise in cell signalling and metabolism to interrogate core pathways and unveil molecular sensors and effectors that define form and function of the MRR by:
I. Elucidating the mechanism of metabolic regulation of MRR, describing the role exerted by cholesterol trafficking;
II. Unveiling microdomains for mito-nuclear communication established by remodelled, autophagy escaped, mitochondria;
III. Validating protocols to modulate and target MRR for diagnostic and therapeutic benefit;
The experimental plan will (i) define a molecular signalling axis that currently stands uncharacterized, (ii) provide mechanistic knowledge for preventive, and (iii) therapeutic applications to counteract deficiencies associated with stressed, dysregulated mitochondria.
Max ERC Funding
1 450 060 €
Duration
Start date: 2019-04-01, End date: 2024-03-31
Project acronym LeaRNN
Project Principles of Learning in a Recurrent Neural Network
Researcher (PI) Marta Zlatic
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Consolidator Grant (CoG), LS5, ERC-2018-COG
Summary Forming memories, generating predictions based on memories, and updating memories when predictions no longer match actual experience are fundamental brain functions. Dopaminergic neurons provide a so-called “teaching signal” that drives the formation and updates of associative memories across the animal kingdom. Many theoretical models propose how neural circuits could compute the teaching signals, but the actual implementation of this computation in real nervous systems is unknown.
This project will discover the basic principles by which neural circuits compute the teaching signals that drive memory formation and updates using a tractable insect model system, the Drosophila larva. We will generate, for the first time in any animal, the following essential datasets for a distributed, multilayered, recurrent learning circuit, the mushroom body-related circuitry in the larval brain. First, building on our preliminary work that provides the synaptic-resolution connectome of the circuit, including all feedforward and feedback pathways upstream of all dopaminergic neurons, we will generate a map of functional monosynaptic connections. Second, we will obtain cellular-resolution whole-nervous system activity maps in intact living animals, as they form, extinguish, or consolidate memories to discover the features represented in each layer of the circuit (e.g. predictions, actual reinforcement, and prediction errors), the learning algorithms, and the candidate circuit motifs that implement them. Finally, we will develop a model of the circuit constrained by these datasets and test the predictions about the necessity and sufficiency of uniquely identified circuit elements for implementing learning algorithms by selectively manipulating their activity.
Understanding the basic functional principles of an entire multilayered recurrent learning circuit in an animal has the potential to revolutionize, not only neuroscience and medicine, but also machine-learning and robotics.
Summary
Forming memories, generating predictions based on memories, and updating memories when predictions no longer match actual experience are fundamental brain functions. Dopaminergic neurons provide a so-called “teaching signal” that drives the formation and updates of associative memories across the animal kingdom. Many theoretical models propose how neural circuits could compute the teaching signals, but the actual implementation of this computation in real nervous systems is unknown.
This project will discover the basic principles by which neural circuits compute the teaching signals that drive memory formation and updates using a tractable insect model system, the Drosophila larva. We will generate, for the first time in any animal, the following essential datasets for a distributed, multilayered, recurrent learning circuit, the mushroom body-related circuitry in the larval brain. First, building on our preliminary work that provides the synaptic-resolution connectome of the circuit, including all feedforward and feedback pathways upstream of all dopaminergic neurons, we will generate a map of functional monosynaptic connections. Second, we will obtain cellular-resolution whole-nervous system activity maps in intact living animals, as they form, extinguish, or consolidate memories to discover the features represented in each layer of the circuit (e.g. predictions, actual reinforcement, and prediction errors), the learning algorithms, and the candidate circuit motifs that implement them. Finally, we will develop a model of the circuit constrained by these datasets and test the predictions about the necessity and sufficiency of uniquely identified circuit elements for implementing learning algorithms by selectively manipulating their activity.
Understanding the basic functional principles of an entire multilayered recurrent learning circuit in an animal has the potential to revolutionize, not only neuroscience and medicine, but also machine-learning and robotics.
Max ERC Funding
2 350 000 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym METANICHE
Project Regulation of bone metastases by age-associated angiocrine signals
Researcher (PI) Anjali KUSUMBE
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Call Details Starting Grant (StG), LS4, ERC-2018-STG
Summary Blood vessels form a versatile transport network and provide inductive signals called angiocrine factors to regulate tissue-specific functions. Blood vessels in bone are heterogeneous with distinct capillary subtypes that exhibit remarkable alterations with age. Bone is the most prevalent site of metastasis, and ageing is linked to the reactivation of dormant tumor cells (dorTCs) and metastatic relapse. Bone remodeling processes are also associated with metastatic relapse. Here, I will define the role of distinct vascular niches in regulating the fate of DTCs in bone. Finally, I will unravel the age-related angiocrine factors and identify key angiocrine signals that drive the reactivation of dorTCs. I will employ a powerful combination of advanced 3D, intravital, and whole body imaging, cell specific-inducible mouse genetics, transcriptional profiling and bioinformatics in an unprecedented manner to achieve my goals. New cutting-edge techniques such as advanced 3D and 4D bone imaging are important aspects of my proposal. I will also define the role of highly promising novel candidate age-related angiocrine signals with sophisticated inducible endothelial-specific humanised mouse models. My work will break new ground by unraveling a repertoire of age-related angiocrine factors and will contribute to a wider scientific community in bone, blood, and age-related diseases. This interdisciplinary work at the frontiers of bone, cancer and vascular biology will provide the first conceptual link between vascular ageing and bone metastasis and will contribute towards the development of therapeutic strategies for targeting DTCs in bone.
Summary
Blood vessels form a versatile transport network and provide inductive signals called angiocrine factors to regulate tissue-specific functions. Blood vessels in bone are heterogeneous with distinct capillary subtypes that exhibit remarkable alterations with age. Bone is the most prevalent site of metastasis, and ageing is linked to the reactivation of dormant tumor cells (dorTCs) and metastatic relapse. Bone remodeling processes are also associated with metastatic relapse. Here, I will define the role of distinct vascular niches in regulating the fate of DTCs in bone. Finally, I will unravel the age-related angiocrine factors and identify key angiocrine signals that drive the reactivation of dorTCs. I will employ a powerful combination of advanced 3D, intravital, and whole body imaging, cell specific-inducible mouse genetics, transcriptional profiling and bioinformatics in an unprecedented manner to achieve my goals. New cutting-edge techniques such as advanced 3D and 4D bone imaging are important aspects of my proposal. I will also define the role of highly promising novel candidate age-related angiocrine signals with sophisticated inducible endothelial-specific humanised mouse models. My work will break new ground by unraveling a repertoire of age-related angiocrine factors and will contribute to a wider scientific community in bone, blood, and age-related diseases. This interdisciplinary work at the frontiers of bone, cancer and vascular biology will provide the first conceptual link between vascular ageing and bone metastasis and will contribute towards the development of therapeutic strategies for targeting DTCs in bone.
Max ERC Funding
1 496 613 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym MiniEmbryoBlueprint
Project The mammalian body plan blueprint, an in vitro approach
Researcher (PI) Alfonso MARTINEZ ARIAS
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Advanced Grant (AdG), LS3, ERC-2018-ADG
Summary The development of an embryo requires the spatially structured emergence of tissues and organs. This process relies on the early establishment of a coordinate system in the form of three orthogonal axes that act as a reference for laying down the body plan, a template for the organism. Genetic analysis of this process has revealed an underlying transcriptional blueprint that links the coordinate system and the body plan. However, the way in which the gene products contribute to the emergence of the body plan remains an open question. A reason for this is that this process involves feedbacks and integration between the activity of Gene Regulatory Networks (GRNs) and the mechanics of multicellular ensembles, and that probing this relationship is experimentally challenging. In the case of mammalian embryos, which are particularly important as models for human development, our gaps in knowledge of these events are larger than in other organisms. This is partly due to the challenges associated with uterine development but also, and increasingly, because of the cost of mice and the difficulty of obtaining large numbers of embryos, as required for mechanistic experiments. In this project we shall use gastruloids, a novel and versatile Pluripotent Stem Cells based experimental system that we have developed for the study of mammalian development, to gain insights into the molecular and cellular basis underlying the emergence of the mammalian body plan. Gastruloids lack anterior neural structures and over a period of five days become organized in the fashion of a midgestation mouse embryo. We shall use the experimental versatility of the Gastruloid system to probe into the functional relationships between the mechanical activities of multicellular ensembles and the dynamics of GRNs that underlie the emergence of the mammalian body plan.
Summary
The development of an embryo requires the spatially structured emergence of tissues and organs. This process relies on the early establishment of a coordinate system in the form of three orthogonal axes that act as a reference for laying down the body plan, a template for the organism. Genetic analysis of this process has revealed an underlying transcriptional blueprint that links the coordinate system and the body plan. However, the way in which the gene products contribute to the emergence of the body plan remains an open question. A reason for this is that this process involves feedbacks and integration between the activity of Gene Regulatory Networks (GRNs) and the mechanics of multicellular ensembles, and that probing this relationship is experimentally challenging. In the case of mammalian embryos, which are particularly important as models for human development, our gaps in knowledge of these events are larger than in other organisms. This is partly due to the challenges associated with uterine development but also, and increasingly, because of the cost of mice and the difficulty of obtaining large numbers of embryos, as required for mechanistic experiments. In this project we shall use gastruloids, a novel and versatile Pluripotent Stem Cells based experimental system that we have developed for the study of mammalian development, to gain insights into the molecular and cellular basis underlying the emergence of the mammalian body plan. Gastruloids lack anterior neural structures and over a period of five days become organized in the fashion of a midgestation mouse embryo. We shall use the experimental versatility of the Gastruloid system to probe into the functional relationships between the mechanical activities of multicellular ensembles and the dynamics of GRNs that underlie the emergence of the mammalian body plan.
Max ERC Funding
2 480 300 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym Mito-recombine
Project Homologous recombination and its application in manipulating animal mitochondrial DNA
Researcher (PI) Hansong MA
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Starting Grant (StG), LS2, ERC-2018-STG
Summary Mitochondrial DNA (mtDNA) is a multi-copy genome that works with the nuclear genome to control energy production and various cellular processes. To date, disorders associated with mutations in mtDNA are among the most common genetically inherited metabolic diseases1. However, our knowledge regarding many aspects of mtDNA biology remains limited, and we know even less about how it influences development and organismal traits. This is largely due to our inability to manipulate mtDNA. Recently, a colleague and I developed novel genetic tools in Drosophila that allowed us to isolate animal mitochondrial mutants for the first time, and to create heteroplasmic organisms containing two mitochondrial genotypes2,3. These advances make Drosophila a powerful system for mtDNA studies. Importantly, I showed that Drosophila mtDNA could undergo homologous recombination. Furthermore, I established a system to induce recombination at specific sites and select for progeny containing only the recombinant genome4. Thus, my work has demonstrated the existence of recombination in animal mitochondria, and opens up the possibility of developing a recombination system for functional mapping and manipulating animal mtDNA. Here I propose to 1) identify components of the mitochondrial recombination machinery by a candidate RNAi screen; 2) develop a recombination toolkit to map trait-associated mtDNA sequences/SNPs; and 3) build a site-directed mutagenesis system by establishing robust ways to deliver DNA into fly mitochondria. Given the essential functions of mitochondria and their involvement in incurable diseases, the genetic tools developed in this proposal will transform the field by making it possible to link mtDNA variations to phenotypic differences and introduce specific mutations into mtDNA for functional studies at organismal level. These advances will open many possibilities to accelerate our understanding on how mtDNA impacts health, disease and evolution.
Summary
Mitochondrial DNA (mtDNA) is a multi-copy genome that works with the nuclear genome to control energy production and various cellular processes. To date, disorders associated with mutations in mtDNA are among the most common genetically inherited metabolic diseases1. However, our knowledge regarding many aspects of mtDNA biology remains limited, and we know even less about how it influences development and organismal traits. This is largely due to our inability to manipulate mtDNA. Recently, a colleague and I developed novel genetic tools in Drosophila that allowed us to isolate animal mitochondrial mutants for the first time, and to create heteroplasmic organisms containing two mitochondrial genotypes2,3. These advances make Drosophila a powerful system for mtDNA studies. Importantly, I showed that Drosophila mtDNA could undergo homologous recombination. Furthermore, I established a system to induce recombination at specific sites and select for progeny containing only the recombinant genome4. Thus, my work has demonstrated the existence of recombination in animal mitochondria, and opens up the possibility of developing a recombination system for functional mapping and manipulating animal mtDNA. Here I propose to 1) identify components of the mitochondrial recombination machinery by a candidate RNAi screen; 2) develop a recombination toolkit to map trait-associated mtDNA sequences/SNPs; and 3) build a site-directed mutagenesis system by establishing robust ways to deliver DNA into fly mitochondria. Given the essential functions of mitochondria and their involvement in incurable diseases, the genetic tools developed in this proposal will transform the field by making it possible to link mtDNA variations to phenotypic differences and introduce specific mutations into mtDNA for functional studies at organismal level. These advances will open many possibilities to accelerate our understanding on how mtDNA impacts health, disease and evolution.
Max ERC Funding
1 473 732 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym MitoWild
Project Counting the cost of living: mitochondrial efficiency, environmental conditions, and performance in the wild
Researcher (PI) Neil METCALFE
Host Institution (HI) UNIVERSITY OF GLASGOW
Call Details Advanced Grant (AdG), LS8, ERC-2018-ADG
Summary An organism’s metabolic rate is a central trait that links its physiology with its ecology and life history. However, while textbook definitions of metabolic rate generally refer to the rate of energy use by the animal, most empirical studies instead record it very indirectly as whole-animal oxygen consumption rate, without any actual measurement of ATP production. This approach contains a conceptual weakness: it is equivalent to estimating a car’s capacity or efficiency by measuring its fuel consumption per minute, with no measurement of what that consumption actually achieves in terms of speed or distance travelled. This can significantly weaken our ability to link metabolic rates to ecological processes, and may explain why conventional measures of metabolic rate often do not predict performance or fitness. This ambitious project will therefore attempt to re-dress the balance by shifting the focus onto the efficiency with which mitochondria produce ATP, with the expectation that this will lead to completely new insights into how metabolic rate influences and constrains the behaviour and ecology of animals. It will use new techniques that we have developed for simultaneous measurement of both ATP and ROS production by the mitochondria; these have revealed two-fold variation among individuals in the efficiency of ATP production (and hence ability to perform aerobic work), totally hidden from usual measurements of metabolic rate. I will use these approaches to examine the impact of metabolic efficiency on performance and the trade-off between efficiency and rates of senescence, using freshwater fish as an experimental system. By applying cutting-edge methods, so far only used in the laboratory, to animals living in their natural habitats, the project will reveal for the first time how environmental conditions select for particular mitochondrial phenotypes and hence metabolic efficiency, so allowing a re-evaluation of the links between ecology and metabolic rate.
Summary
An organism’s metabolic rate is a central trait that links its physiology with its ecology and life history. However, while textbook definitions of metabolic rate generally refer to the rate of energy use by the animal, most empirical studies instead record it very indirectly as whole-animal oxygen consumption rate, without any actual measurement of ATP production. This approach contains a conceptual weakness: it is equivalent to estimating a car’s capacity or efficiency by measuring its fuel consumption per minute, with no measurement of what that consumption actually achieves in terms of speed or distance travelled. This can significantly weaken our ability to link metabolic rates to ecological processes, and may explain why conventional measures of metabolic rate often do not predict performance or fitness. This ambitious project will therefore attempt to re-dress the balance by shifting the focus onto the efficiency with which mitochondria produce ATP, with the expectation that this will lead to completely new insights into how metabolic rate influences and constrains the behaviour and ecology of animals. It will use new techniques that we have developed for simultaneous measurement of both ATP and ROS production by the mitochondria; these have revealed two-fold variation among individuals in the efficiency of ATP production (and hence ability to perform aerobic work), totally hidden from usual measurements of metabolic rate. I will use these approaches to examine the impact of metabolic efficiency on performance and the trade-off between efficiency and rates of senescence, using freshwater fish as an experimental system. By applying cutting-edge methods, so far only used in the laboratory, to animals living in their natural habitats, the project will reveal for the first time how environmental conditions select for particular mitochondrial phenotypes and hence metabolic efficiency, so allowing a re-evaluation of the links between ecology and metabolic rate.
Max ERC Funding
2 445 129 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym NanoMechShape
Project Molecular control of actin network architecture and mechanics during cell shape changes
Researcher (PI) Ewa PALUCH
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Consolidator Grant (CoG), LS3, ERC-2018-COG
Summary Precise control of shape is key to cell physiology, and cell shape deregulation is at the heart of many pathologies. As cell morphology is controlled by forces, studies integrating physics with biology are required to truly understand morphogenesis. NanoMechShape will take such an interdisciplinary approach to investigate the regulation of animal cell shape.
In animal cells, actin networks are the primary determinants of shape. Most cell shape changes fall into two categories: 1) those driven by contractions of the actin cortex, a thin network underlying the membrane in rounded cells; and 2) those resulting from transitions between the cortex and other actin networks, such as lamellipodia and filopodia. To understand cell deformations, it is thus essential to understand the regulation of cortex contractile tension and the mechanisms controlling transitions in actin architecture.
NanoMechShape will comprise three aims. First, we will explore how cortex tension is regulated. We will focus on the role of cortex architecture, which remains elusive due to the difficulty in probing the organisation of the thin cortical network. We will unveil cortex architecture using super-resolution and electron microscopy, and systematically investigate how nanoscale architectural features affect tension. Second, we will explore how the identified regulatory mechanisms contribute to the establishment of a cortical tension gradient. We will focus on the gradient driving cytokinetic furrow ingression, an exemplar tension-driven shape change. Third, we will investigate transitions in actin architecture underlying cell spreading. We will compare spreading at the end of mitosis and during differentiation of mouse embryonic stem cells, paving the way to investigations of the crosstalk between cell shape and fate.
By bridging a fundamental gap between molecular processes and cell-scale behaviors, our multidisciplinary study will unveil some of the fundamental principles of cell morphogenesis.
Summary
Precise control of shape is key to cell physiology, and cell shape deregulation is at the heart of many pathologies. As cell morphology is controlled by forces, studies integrating physics with biology are required to truly understand morphogenesis. NanoMechShape will take such an interdisciplinary approach to investigate the regulation of animal cell shape.
In animal cells, actin networks are the primary determinants of shape. Most cell shape changes fall into two categories: 1) those driven by contractions of the actin cortex, a thin network underlying the membrane in rounded cells; and 2) those resulting from transitions between the cortex and other actin networks, such as lamellipodia and filopodia. To understand cell deformations, it is thus essential to understand the regulation of cortex contractile tension and the mechanisms controlling transitions in actin architecture.
NanoMechShape will comprise three aims. First, we will explore how cortex tension is regulated. We will focus on the role of cortex architecture, which remains elusive due to the difficulty in probing the organisation of the thin cortical network. We will unveil cortex architecture using super-resolution and electron microscopy, and systematically investigate how nanoscale architectural features affect tension. Second, we will explore how the identified regulatory mechanisms contribute to the establishment of a cortical tension gradient. We will focus on the gradient driving cytokinetic furrow ingression, an exemplar tension-driven shape change. Third, we will investigate transitions in actin architecture underlying cell spreading. We will compare spreading at the end of mitosis and during differentiation of mouse embryonic stem cells, paving the way to investigations of the crosstalk between cell shape and fate.
By bridging a fundamental gap between molecular processes and cell-scale behaviors, our multidisciplinary study will unveil some of the fundamental principles of cell morphogenesis.
Max ERC Funding
1 943 071 €
Duration
Start date: 2019-05-01, End date: 2024-04-30
Project acronym O3-SML
Project Ozone dry deposition to the sea surface microlayer
Researcher (PI) Lucy CARPENTER
Host Institution (HI) UNIVERSITY OF YORK
Call Details Advanced Grant (AdG), PE10, ERC-2018-ADG
Summary Tropospheric ozone is a significant climate gas and has a major influence on air quality, public health, and food security. Ozone is lost to the Earth’s surface directly by “dry deposition”, which is an important loss process for this gas. Since the ocean represents 70% of the surface, uncertainties in the dry deposition to the “sea surface microlayer” (SML) of the ocean translate into large differences in the predicted global ocean dry deposition flux. There has been very limited experimental quantification of ozone deposition over the oceans, because making such measurements is technically very challenging, and estimates of oceanic ozone deposition velocities vary widely. The mechanistic details of the process are incomplete and parameterisations in models are untested against observations. This loss of ozone is acknowledged to be controlled predominantly by chemical reactions in the SML involving iodide and organic material, which not only determine how quickly ozone can be irreversibly taken up at the ocean surface, but may also constitute a source of trace gases to the marine atmosphere. Whilst there is a growing body of work on ozone interactions with oceanic iodide, the nature and reactivity of the organic material in the SML which interacts with ozone is completely unknown. This project will probe both the fundamental mechanisms on and in the SML involved in the loss of ozone and production of atmospherically important trace gases and, in a highly novel and agenda-setting approach, apply this mechanistic information to field observations of oceanic ozone fluxes and the corresponding biogeochemical properties of the SML. This highly interdisciplinary study involves aspects of physical chemistry, atmospheric chemistry, ocean chemistry and physics, and engineering. It transcends conventional boundaries by integrating across atmospheric and ocean science, reflecting the PIs world-leading expertise in field and laboratory science in these fields.
Summary
Tropospheric ozone is a significant climate gas and has a major influence on air quality, public health, and food security. Ozone is lost to the Earth’s surface directly by “dry deposition”, which is an important loss process for this gas. Since the ocean represents 70% of the surface, uncertainties in the dry deposition to the “sea surface microlayer” (SML) of the ocean translate into large differences in the predicted global ocean dry deposition flux. There has been very limited experimental quantification of ozone deposition over the oceans, because making such measurements is technically very challenging, and estimates of oceanic ozone deposition velocities vary widely. The mechanistic details of the process are incomplete and parameterisations in models are untested against observations. This loss of ozone is acknowledged to be controlled predominantly by chemical reactions in the SML involving iodide and organic material, which not only determine how quickly ozone can be irreversibly taken up at the ocean surface, but may also constitute a source of trace gases to the marine atmosphere. Whilst there is a growing body of work on ozone interactions with oceanic iodide, the nature and reactivity of the organic material in the SML which interacts with ozone is completely unknown. This project will probe both the fundamental mechanisms on and in the SML involved in the loss of ozone and production of atmospherically important trace gases and, in a highly novel and agenda-setting approach, apply this mechanistic information to field observations of oceanic ozone fluxes and the corresponding biogeochemical properties of the SML. This highly interdisciplinary study involves aspects of physical chemistry, atmospheric chemistry, ocean chemistry and physics, and engineering. It transcends conventional boundaries by integrating across atmospheric and ocean science, reflecting the PIs world-leading expertise in field and laboratory science in these fields.
Max ERC Funding
2 479 602 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym OldCO2NewArchives
Project CO2 reconstruction over the last 100 Myr from novel geological archives
Researcher (PI) James Rae
Host Institution (HI) THE UNIVERSITY COURT OF THE UNIVERSITY OF ST ANDREWS
Call Details Starting Grant (StG), PE10, ERC-2018-STG
Summary CO2 exerts a major control on Earth’s environment, including ocean acidity and global climate. Human carbon emissions have elevated CO2 levels to above 400 ppm, substantially higher than at any time in the 800,000 year ice core record. If we want to understand how Earth’s environment and climate will respond to a high CO2 world, we need to look deeper into the geological past. This project provides a novel way to reconstruct ocean pH and atmospheric CO2 levels over the last 100 Myr. This will allow us to fathom the fundamental mechanisms governing Earth’s environmental evolution, and improve predictions of environmental response to CO2 change in the future.
Atmospheric CO2 and ocean pH are closely coupled, because CO2 is acidic and is readily exchanged between the ocean and atmosphere. If ocean pH is known, we can place strong constraints on atmospheric CO2. Thanks to recent developments in geochemistry, it is possible to reconstruct changes in ocean pH using the boron isotope composition (d11B) of fossil shells. The well-studied systematics of this method and its underlying thermodynamic framework provide confidence in its application to the geological record. However calculation of pH from carbonate d11B requires knowledge of the boron isotope composition of past seawater d11Bsw. Here I propose novel strategies and techniques with new or underutilized archives (evaporites, shallow carbonates, and infaunal foraminifera) to constrain this crucial parameter.
With d11BSW constrained, new d11B records from benthic foraminifera will provide a 100 Myr record of ocean pH. This benchmark reconstruction will be used to test key hypotheses on major environmental change in the geological record, and to constrain atmospheric CO2 using a state-of-the-art biogeochemical model. These paired data and modelling outcomes will provide a major step forward in our understanding of the fundamental processes regulating Earth’s climate and long-term habitability.
Summary
CO2 exerts a major control on Earth’s environment, including ocean acidity and global climate. Human carbon emissions have elevated CO2 levels to above 400 ppm, substantially higher than at any time in the 800,000 year ice core record. If we want to understand how Earth’s environment and climate will respond to a high CO2 world, we need to look deeper into the geological past. This project provides a novel way to reconstruct ocean pH and atmospheric CO2 levels over the last 100 Myr. This will allow us to fathom the fundamental mechanisms governing Earth’s environmental evolution, and improve predictions of environmental response to CO2 change in the future.
Atmospheric CO2 and ocean pH are closely coupled, because CO2 is acidic and is readily exchanged between the ocean and atmosphere. If ocean pH is known, we can place strong constraints on atmospheric CO2. Thanks to recent developments in geochemistry, it is possible to reconstruct changes in ocean pH using the boron isotope composition (d11B) of fossil shells. The well-studied systematics of this method and its underlying thermodynamic framework provide confidence in its application to the geological record. However calculation of pH from carbonate d11B requires knowledge of the boron isotope composition of past seawater d11Bsw. Here I propose novel strategies and techniques with new or underutilized archives (evaporites, shallow carbonates, and infaunal foraminifera) to constrain this crucial parameter.
With d11BSW constrained, new d11B records from benthic foraminifera will provide a 100 Myr record of ocean pH. This benchmark reconstruction will be used to test key hypotheses on major environmental change in the geological record, and to constrain atmospheric CO2 using a state-of-the-art biogeochemical model. These paired data and modelling outcomes will provide a major step forward in our understanding of the fundamental processes regulating Earth’s climate and long-term habitability.
Max ERC Funding
1 996 784 €
Duration
Start date: 2019-02-01, End date: 2024-01-31