Project acronym 3DPROTEINPUZZLES
Project Shape-directed protein assembly design
Researcher (PI) Lars Ingemar ANDRe
Host Institution (HI) MAX IV Laboratory, Lund University
Country Sweden
Call Details Consolidator Grant (CoG), LS9, ERC-2017-COG
Summary Large protein complexes carry out some of the most complex functions in biology. Such structures are often assembled spontaneously from individual components through the process of self-assembly. If self-assembled protein complexes could be engineered from first principle it would enable a wide range of applications in biomedicine, nanotechnology and materials science. Recently, approaches to rationally design proteins to self-assembly into predefined structures have emerged. The highlight of this work is the design of protein cages that may be engineered into protein containers. However, current approaches for self-assembly design does not result in the assemblies with the required structural complexity to encode many of the sophisticated functions found in nature. To move forward, we have to learn how to engineer protein subunits with more than one designed interface that can assemble into tightly interacting complexes. In this proposal we propose a new protein design paradigm, shape directed protein design, in order to address shortcomings of the current methodology. The proposed method combines geometric shape matching and computational protein design. Using this approach we will de novo design assemblies with a wide variety of structural states, including protein complexes with cyclic and dihedral symmetry as well as icosahedral protein capsids built from novel protein building blocks. To enable these two design challenges we also develop a high-throughput assay to measure assembly stability in vivo that builds on a three-color fluorescent assay. This method will not only facilitate the screening of orders of magnitude more design constructs, but also enable the application of directed evolution to experimentally improve stable and assembly properties of designed containers as well as other designed assemblies.
Summary
Large protein complexes carry out some of the most complex functions in biology. Such structures are often assembled spontaneously from individual components through the process of self-assembly. If self-assembled protein complexes could be engineered from first principle it would enable a wide range of applications in biomedicine, nanotechnology and materials science. Recently, approaches to rationally design proteins to self-assembly into predefined structures have emerged. The highlight of this work is the design of protein cages that may be engineered into protein containers. However, current approaches for self-assembly design does not result in the assemblies with the required structural complexity to encode many of the sophisticated functions found in nature. To move forward, we have to learn how to engineer protein subunits with more than one designed interface that can assemble into tightly interacting complexes. In this proposal we propose a new protein design paradigm, shape directed protein design, in order to address shortcomings of the current methodology. The proposed method combines geometric shape matching and computational protein design. Using this approach we will de novo design assemblies with a wide variety of structural states, including protein complexes with cyclic and dihedral symmetry as well as icosahedral protein capsids built from novel protein building blocks. To enable these two design challenges we also develop a high-throughput assay to measure assembly stability in vivo that builds on a three-color fluorescent assay. This method will not only facilitate the screening of orders of magnitude more design constructs, but also enable the application of directed evolution to experimentally improve stable and assembly properties of designed containers as well as other designed assemblies.
Max ERC Funding
2 325 292 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym Allelic Regulation
Project Revealing Allele-level Regulation and Dynamics using Single-cell Gene Expression Analyses
Researcher (PI) Thore Rickard Hakan Sandberg
Host Institution (HI) KAROLINSKA INSTITUTET
Country Sweden
Call Details Consolidator Grant (CoG), LS2, ERC-2014-CoG
Summary As diploid organisms inherit one gene copy from each parent, a gene can be expressed from both alleles (biallelic) or from only one allele (monoallelic). Although transcription from both alleles is detected for most genes in cell population experiments, little is known about allele-specific expression in single cells and its phenotypic consequences. To answer fundamental questions about allelic transcription heterogeneity in single cells, this research program will focus on single-cell transcriptome analyses with allelic-origin resolution. To this end, we will investigate both clonally stable and dynamic random monoallelic expression across a large number of cell types, including cells from embryonic and adult stages. This research program will be accomplished with the novel single-cell RNA-seq method developed within my lab to obtain quantitative, genome-wide gene expression measurement. To distinguish between mitotically stable and dynamic patterns of allelic expression, we will analyze large numbers a clonally related cells per cell type, from both primary cultures (in vitro) and using transgenic models to obtain clonally related cells in vivo.
The biological significance of the research program is first an understanding of allelic transcription, including the nature and extent of random monoallelic expression across in vivo tissues and cell types. These novel insights into allelic transcription will be important for an improved understanding of how variable phenotypes (e.g. incomplete penetrance and variable expressivity) can arise in genetically identical individuals. Additionally, the single-cell transcriptome analyses of clonally related cells in vivo will provide unique insights into the clonality of gene expression per se.
Summary
As diploid organisms inherit one gene copy from each parent, a gene can be expressed from both alleles (biallelic) or from only one allele (monoallelic). Although transcription from both alleles is detected for most genes in cell population experiments, little is known about allele-specific expression in single cells and its phenotypic consequences. To answer fundamental questions about allelic transcription heterogeneity in single cells, this research program will focus on single-cell transcriptome analyses with allelic-origin resolution. To this end, we will investigate both clonally stable and dynamic random monoallelic expression across a large number of cell types, including cells from embryonic and adult stages. This research program will be accomplished with the novel single-cell RNA-seq method developed within my lab to obtain quantitative, genome-wide gene expression measurement. To distinguish between mitotically stable and dynamic patterns of allelic expression, we will analyze large numbers a clonally related cells per cell type, from both primary cultures (in vitro) and using transgenic models to obtain clonally related cells in vivo.
The biological significance of the research program is first an understanding of allelic transcription, including the nature and extent of random monoallelic expression across in vivo tissues and cell types. These novel insights into allelic transcription will be important for an improved understanding of how variable phenotypes (e.g. incomplete penetrance and variable expressivity) can arise in genetically identical individuals. Additionally, the single-cell transcriptome analyses of clonally related cells in vivo will provide unique insights into the clonality of gene expression per se.
Max ERC Funding
1 923 060 €
Duration
Start date: 2015-07-01, End date: 2020-12-31
Project acronym ANTIBODYPAIN
Project Autoantibodies and chronic pain - Unraveling new mechanisms contributing to pain in rheumatic disease
Researcher (PI) Camilla SVENSSON
Host Institution (HI) KAROLINSKA INSTITUTET
Country Sweden
Call Details Consolidator Grant (CoG), LS7, ERC-2019-COG
Summary Pain is one of the most problematic symptoms of rheumatic disease such as rheumatoid arthritis (RA) and fibromyalgia (FM). We have earlier discovered that antibodies (immunoglobulin, IgG) purified from blood of seropositive rheumatoid arthritis (RA) patients induce pain-like behavior when transferred to mice, independent of inflammatory reactions. Even though FM is not considered an autoimmune disease, it has been suggested that neuroimmune dysregulation contribute to the pathogenesis. Therefore, we purified IgG from FM patients and found that also IgG from FM patients, but not healthy controls, have pronociceptive properties in mice, and surprisingly, bind to satellite glial cells in dorsal root ganglia. Our findings highlights the importance of expanding our view on which chronic pain conditions that could have an underlying autoimmunity as part of the pain pathology. Thus, the overall objective of this project is to investigate both general, and disease specific, pain-inducing mechanisms mediated by RA and FM IgG.
Objective 1. Investigate how IgG from RA and FM patients induce pain-like behavior after transfer to mice
Objective 2. Search for RA and FM IgG induced maladaptive changes in sensory neurons that mediate hyperexcitability and long-term pain-like behavior
Using patient and healthy control samples, in vivo mouse behavioral assays, primary neuronal and non-neuronal cell cultures together with stat-of-the-art methodology, we will investigate how RA and FM-associated autoantibodies alter sensory neuronal excitability. If successful our project will not only challenge the view of how antibodies can contribute to pain but also pin-point specific mechanisms by which disease-relevant antibodies induce and maintain pain independent of previously described inflammatory mechanisms. Such findings promise to resolve currently unanswered questions concerning symptoms of pain in RA and FM, and to pave the way for the development of new pain-relieving therapies.
Summary
Pain is one of the most problematic symptoms of rheumatic disease such as rheumatoid arthritis (RA) and fibromyalgia (FM). We have earlier discovered that antibodies (immunoglobulin, IgG) purified from blood of seropositive rheumatoid arthritis (RA) patients induce pain-like behavior when transferred to mice, independent of inflammatory reactions. Even though FM is not considered an autoimmune disease, it has been suggested that neuroimmune dysregulation contribute to the pathogenesis. Therefore, we purified IgG from FM patients and found that also IgG from FM patients, but not healthy controls, have pronociceptive properties in mice, and surprisingly, bind to satellite glial cells in dorsal root ganglia. Our findings highlights the importance of expanding our view on which chronic pain conditions that could have an underlying autoimmunity as part of the pain pathology. Thus, the overall objective of this project is to investigate both general, and disease specific, pain-inducing mechanisms mediated by RA and FM IgG.
Objective 1. Investigate how IgG from RA and FM patients induce pain-like behavior after transfer to mice
Objective 2. Search for RA and FM IgG induced maladaptive changes in sensory neurons that mediate hyperexcitability and long-term pain-like behavior
Using patient and healthy control samples, in vivo mouse behavioral assays, primary neuronal and non-neuronal cell cultures together with stat-of-the-art methodology, we will investigate how RA and FM-associated autoantibodies alter sensory neuronal excitability. If successful our project will not only challenge the view of how antibodies can contribute to pain but also pin-point specific mechanisms by which disease-relevant antibodies induce and maintain pain independent of previously described inflammatory mechanisms. Such findings promise to resolve currently unanswered questions concerning symptoms of pain in RA and FM, and to pave the way for the development of new pain-relieving therapies.
Max ERC Funding
1 993 763 €
Duration
Start date: 2020-10-01, End date: 2025-09-30
Project acronym ARTSILK
Project Novel approaches to the generation of artificial spider silk superfibers
Researcher (PI) Anna RISING
Host Institution (HI) KAROLINSKA INSTITUTET
Country Sweden
Call Details Consolidator Grant (CoG), LS9, ERC-2018-COG
Summary Spider silk is Nature’s high performance material that has the potential to revolutionize the materials industry. However, production and spinning of artificial spider silk fibers are challenging, and current methods to produce silk fibers include denaturing conditions which prevent the silk proteins from assembling into fibers in the same complex way as native silk proteins do. In order to fulfill the potential of spider silk we need to increase our understanding of the silk formation process and decipher how protein folding and interactions relate to mechanical properties of the resulting silk fiber. Recent insights into the physiology and molecular mechanisms of the spinning process has made it possible to develop a biomimetic artificial spider silk spinning device (see our publications Andersson et al. Nat Chem Biol. 2017; Otikovs et al. Angew Chemie Int Engl Ed. 2017). We are, for the first time, able to spin artificial silk fibers in which the proteins adopt correct secondary, tertiary and quaternary structures.
The overall objective of ARTSILK is to build on these recent technical leaps and use state-of-the-art technologies to generate artificial silk fibers that are equal or superior to native spider silk in terms of toughness and tensile strength.
To reach the overall objective we will use the recently mapped spider genome, protein engineering and single cell RNA (ScRNA) sequencing to design novel silk proteins for fiber production. We will also study the relationship between protein secondary structure formation and fiber mechanical properties in order to decipher the ques that determine mechanical properties of the fiber. This knowledge will be important also for the basic understanding of how soluble proteins covert into b-sheet rich fibrils in, e.g., Alzheimer’s disease. Finally, we will use microfluidic chips to engineer the next generation spinning device and 3D-printing techniques to make reproducible three-dimensional structures of spider silk.
Summary
Spider silk is Nature’s high performance material that has the potential to revolutionize the materials industry. However, production and spinning of artificial spider silk fibers are challenging, and current methods to produce silk fibers include denaturing conditions which prevent the silk proteins from assembling into fibers in the same complex way as native silk proteins do. In order to fulfill the potential of spider silk we need to increase our understanding of the silk formation process and decipher how protein folding and interactions relate to mechanical properties of the resulting silk fiber. Recent insights into the physiology and molecular mechanisms of the spinning process has made it possible to develop a biomimetic artificial spider silk spinning device (see our publications Andersson et al. Nat Chem Biol. 2017; Otikovs et al. Angew Chemie Int Engl Ed. 2017). We are, for the first time, able to spin artificial silk fibers in which the proteins adopt correct secondary, tertiary and quaternary structures.
The overall objective of ARTSILK is to build on these recent technical leaps and use state-of-the-art technologies to generate artificial silk fibers that are equal or superior to native spider silk in terms of toughness and tensile strength.
To reach the overall objective we will use the recently mapped spider genome, protein engineering and single cell RNA (ScRNA) sequencing to design novel silk proteins for fiber production. We will also study the relationship between protein secondary structure formation and fiber mechanical properties in order to decipher the ques that determine mechanical properties of the fiber. This knowledge will be important also for the basic understanding of how soluble proteins covert into b-sheet rich fibrils in, e.g., Alzheimer’s disease. Finally, we will use microfluidic chips to engineer the next generation spinning device and 3D-printing techniques to make reproducible three-dimensional structures of spider silk.
Max ERC Funding
2 000 000 €
Duration
Start date: 2019-05-01, End date: 2024-04-30
Project acronym BIOMENDELIAN
Project Linking Cardiometabolic Disease and Cancer in the Level of Genetics, Circulating Biomarkers, Microbiota and Environmental Risk Factors
Researcher (PI) Marju Orho-Melander
Host Institution (HI) LUNDS UNIVERSITET
Country Sweden
Call Details Consolidator Grant (CoG), LS7, ERC-2014-CoG
Summary Cardiovascular disease (CVD), type 2 diabetes (T2D) and obesity, collectively referred to as cardiometabolic disease, together with cancer are the major morbidities and causes of death. With few exceptions, research on cardiometabolic disease and cancer is funded, studied and clinically applied separately without fully taking advantage of knowledge on common pathways and treatment targets through interdisciplinary synergies. The purpose of this proposal is to reveal causal factors connecting and disconnecting cardiometabolic diseases and cancer, and to understand interactions between gut microbiota, host diet and genetic susceptibility in a comprehensive prospective cohort study design to subsequently allow design of intervention strategies to guide more personalized disease prevention.
1. We investigate causality between genetic risk factors for cardiometabolic disease associated traits and future incidence of T2D, CVD, cancer (total/breast/colon/prostate) and mortality (total, CVD- and cancer mortality), searching for causal factors in a prospective cohort with >15 y follow-up (N>30,000, incident cases N=3550, 4713, 5975, 6115 for T2D, CVD, cancer, mortality)
2. For the first time in a large population (N=6000), we investigate how gut and oral microbiome are regulated by dietary factors, gut satiety peptides and host genetics, and how such connections relate to cardiometabolic disease associated traits and cancer
3. We investigate the role of diet and gene-diet interactions of importance for cardiometabolic disease and cancer
4. We perform genotype, biomarker and gut microbiota based diet intervention studies.
This inter-disciplinary project contributes to biological understanding of basic disease mechanisms and takes steps towards better possibilities to prevent and treat individuals at high risk for cardiometabolic disease, cancer and death.
Summary
Cardiovascular disease (CVD), type 2 diabetes (T2D) and obesity, collectively referred to as cardiometabolic disease, together with cancer are the major morbidities and causes of death. With few exceptions, research on cardiometabolic disease and cancer is funded, studied and clinically applied separately without fully taking advantage of knowledge on common pathways and treatment targets through interdisciplinary synergies. The purpose of this proposal is to reveal causal factors connecting and disconnecting cardiometabolic diseases and cancer, and to understand interactions between gut microbiota, host diet and genetic susceptibility in a comprehensive prospective cohort study design to subsequently allow design of intervention strategies to guide more personalized disease prevention.
1. We investigate causality between genetic risk factors for cardiometabolic disease associated traits and future incidence of T2D, CVD, cancer (total/breast/colon/prostate) and mortality (total, CVD- and cancer mortality), searching for causal factors in a prospective cohort with >15 y follow-up (N>30,000, incident cases N=3550, 4713, 5975, 6115 for T2D, CVD, cancer, mortality)
2. For the first time in a large population (N=6000), we investigate how gut and oral microbiome are regulated by dietary factors, gut satiety peptides and host genetics, and how such connections relate to cardiometabolic disease associated traits and cancer
3. We investigate the role of diet and gene-diet interactions of importance for cardiometabolic disease and cancer
4. We perform genotype, biomarker and gut microbiota based diet intervention studies.
This inter-disciplinary project contributes to biological understanding of basic disease mechanisms and takes steps towards better possibilities to prevent and treat individuals at high risk for cardiometabolic disease, cancer and death.
Max ERC Funding
2 000 000 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym BloodVariome
Project Genetic variation exposes regulators of blood cell formation in vivo in humans
Researcher (PI) Bjoern Erik Ake NILSSON
Host Institution (HI) LUNDS UNIVERSITET
Country Sweden
Call Details Consolidator Grant (CoG), LS7, ERC-2017-COG
Summary The human hematopoietic system is a paradigmatic, stem cell-maintained organ with enormous cell turnover. Hundreds of billions of new blood cells are produced each day. The process is tightly regulated, and susceptible to perturbation due to genetic variation.
In this project, we will explore an innovative, population-genetic approach to find regulators of blood cell formation. Unlike traditional studies on hematopoiesis in vitro or in animal models, we will exploit natural genetic variation to identify DNA sequence variants and genes that influence blood cell formation in vivo in humans. Instead of inserting artificial mutations in mice, we will read out ripples from the experiments that nature has performed during evolution.
Building on our previous work, unique population-based materials, mathematical modeling, and the latest genomics and genome editing techniques, we will:
1. Develop high-resolution association data and analysis methods to find DNA sequence variants influencing human hematopoiesis, including stem- and progenitor stages.
2. Identify sequence variants and genes influencing specific stages of adult and fetal/perinatal hematopoiesis.
3. Define the function, and disease associations, of identified variants and genes.
Led by the applicant, the project will involve researchers at Lund University, Royal Institute of Technology and deCODE Genetics, and will be carried out in strong environments. It has been preceded by significant preparatory work. It will provide a first detailed analysis of how genetic variation influences human hematopoiesis, potentially increasing our understanding, and abilities to control, diseases marked by abnormal blood cell formation (e.g., leukemia).
Summary
The human hematopoietic system is a paradigmatic, stem cell-maintained organ with enormous cell turnover. Hundreds of billions of new blood cells are produced each day. The process is tightly regulated, and susceptible to perturbation due to genetic variation.
In this project, we will explore an innovative, population-genetic approach to find regulators of blood cell formation. Unlike traditional studies on hematopoiesis in vitro or in animal models, we will exploit natural genetic variation to identify DNA sequence variants and genes that influence blood cell formation in vivo in humans. Instead of inserting artificial mutations in mice, we will read out ripples from the experiments that nature has performed during evolution.
Building on our previous work, unique population-based materials, mathematical modeling, and the latest genomics and genome editing techniques, we will:
1. Develop high-resolution association data and analysis methods to find DNA sequence variants influencing human hematopoiesis, including stem- and progenitor stages.
2. Identify sequence variants and genes influencing specific stages of adult and fetal/perinatal hematopoiesis.
3. Define the function, and disease associations, of identified variants and genes.
Led by the applicant, the project will involve researchers at Lund University, Royal Institute of Technology and deCODE Genetics, and will be carried out in strong environments. It has been preceded by significant preparatory work. It will provide a first detailed analysis of how genetic variation influences human hematopoiesis, potentially increasing our understanding, and abilities to control, diseases marked by abnormal blood cell formation (e.g., leukemia).
Max ERC Funding
2 000 000 €
Duration
Start date: 2018-10-01, End date: 2023-09-30
Project acronym BOPNIE
Project Boundary value problems for nonlinear integrable equations
Researcher (PI) Jonatan Carl Anders Lenells
Host Institution (HI) KUNGLIGA TEKNISKA HOEGSKOLAN
Country Sweden
Call Details Consolidator Grant (CoG), PE1, ERC-2015-CoG
Summary The purpose of this project is to develop new methods for solving boundary value problems (BVPs) for nonlinear integrable partial differential equations (PDEs). Integrable PDEs can be analyzed by means of the Inverse Scattering Transform, whose introduction was one of the most important developments in the theory of nonlinear PDEs in the 20th century. Until the 1990s the inverse scattering methodology was pursued almost entirely for pure initial-value problems. However, in many laboratory and field situations, the solution is generated by what corresponds to the imposition of boundary conditions rather than initial conditions. Thus, an understanding of BVPs is crucial.
In an exciting sequence of events taking place in the last two decades, new tools have become available to deal with BVPs for integrable PDEs. Although some important issues have already been resolved, several major problems remain open.
The aim of this project is to solve a number of these open problems and to find solutions of BVPs which were heretofore not solvable. More precisely, the proposal has eight objectives:
1. Develop methods for solving problems with time-periodic boundary conditions.
2. Answer some long-standing open questions raised by series of wave-tank experiments 35 years ago.
3. Develop a new approach for the study of space-periodic solutions.
4. Develop new approaches for the analysis of BVPs for equations with 3 x 3-matrix Lax pairs.
5. Derive new asymptotic formulas by using a nonlinear version of the steepest descent method.
6. Construct disk and disk/black-hole solutions of the stationary axisymmetric Einstein equations.
7. Solve a BVP in Einstein's theory of relativity describing two colliding gravitational waves.
8. Extend the above methods to BVPs in higher dimensions.
Summary
The purpose of this project is to develop new methods for solving boundary value problems (BVPs) for nonlinear integrable partial differential equations (PDEs). Integrable PDEs can be analyzed by means of the Inverse Scattering Transform, whose introduction was one of the most important developments in the theory of nonlinear PDEs in the 20th century. Until the 1990s the inverse scattering methodology was pursued almost entirely for pure initial-value problems. However, in many laboratory and field situations, the solution is generated by what corresponds to the imposition of boundary conditions rather than initial conditions. Thus, an understanding of BVPs is crucial.
In an exciting sequence of events taking place in the last two decades, new tools have become available to deal with BVPs for integrable PDEs. Although some important issues have already been resolved, several major problems remain open.
The aim of this project is to solve a number of these open problems and to find solutions of BVPs which were heretofore not solvable. More precisely, the proposal has eight objectives:
1. Develop methods for solving problems with time-periodic boundary conditions.
2. Answer some long-standing open questions raised by series of wave-tank experiments 35 years ago.
3. Develop a new approach for the study of space-periodic solutions.
4. Develop new approaches for the analysis of BVPs for equations with 3 x 3-matrix Lax pairs.
5. Derive new asymptotic formulas by using a nonlinear version of the steepest descent method.
6. Construct disk and disk/black-hole solutions of the stationary axisymmetric Einstein equations.
7. Solve a BVP in Einstein's theory of relativity describing two colliding gravitational waves.
8. Extend the above methods to BVPs in higher dimensions.
Max ERC Funding
2 000 000 €
Duration
Start date: 2016-05-01, End date: 2022-02-28
Project acronym CAPTURE
Project CApturing Paradata for documenTing data creation and Use for the REsearch of the future
Researcher (PI) Isto HUVILA
Host Institution (HI) UPPSALA UNIVERSITET
Country Sweden
Call Details Consolidator Grant (CoG), SH3, ERC-2018-COG
Summary "Considerable investments have been made in Europe and worldwide in research data infrastructures. Instead of a general lack of data about data, it has become apparent that the pivotal factor that drastically constrains the use of data is the absence of contextual knowledge about how data was created and how it has been used. This applies especially to many branches of SSH research where data is highly heterogeneous, both by its kind (e.g. being qualitative, quantitative, naturalistic, purposefully created) and origins (e.g. being historical/contemporary, from different contexts and geographical places). The problem is that there may be enough metadata (data about data) but there is too little paradata (data on the processes of its creation and use).
In contrast to the rather straightforward problem of describing the data, the high-risk/high-gain problem no-one has managed to solve, is the lack of comprehensive understanding of what information about the creation and use of research data is needed and how to capture enough of that information to make the data reusable and to avoid the risk that currently collected vast amounts of research data become useless in the future. The wickedness of the problem lies in the practical impossibility to document and keep everything and the difficulty to determine optimal procedures for capturing just enough.
With an empirical focus on archaeological and cultural heritage data, which stands out by its extreme heterogeneity and rapid accumulation due to the scale of ongoing development-led archaeological fieldwork, CAPTURE develops an in-depth understanding of how paradata is #1 created and #2 used at the moment, #3 elicits methods for capturing paradata on the basis of the findings of #1-2, #4 tests the new methods in field trials, and #5 synthesises the findings in a reference model to inform the capturing of paradata and enabling data-intensive research using heterogeneous research data stemming from diverse origins.
"
Summary
"Considerable investments have been made in Europe and worldwide in research data infrastructures. Instead of a general lack of data about data, it has become apparent that the pivotal factor that drastically constrains the use of data is the absence of contextual knowledge about how data was created and how it has been used. This applies especially to many branches of SSH research where data is highly heterogeneous, both by its kind (e.g. being qualitative, quantitative, naturalistic, purposefully created) and origins (e.g. being historical/contemporary, from different contexts and geographical places). The problem is that there may be enough metadata (data about data) but there is too little paradata (data on the processes of its creation and use).
In contrast to the rather straightforward problem of describing the data, the high-risk/high-gain problem no-one has managed to solve, is the lack of comprehensive understanding of what information about the creation and use of research data is needed and how to capture enough of that information to make the data reusable and to avoid the risk that currently collected vast amounts of research data become useless in the future. The wickedness of the problem lies in the practical impossibility to document and keep everything and the difficulty to determine optimal procedures for capturing just enough.
With an empirical focus on archaeological and cultural heritage data, which stands out by its extreme heterogeneity and rapid accumulation due to the scale of ongoing development-led archaeological fieldwork, CAPTURE develops an in-depth understanding of how paradata is #1 created and #2 used at the moment, #3 elicits methods for capturing paradata on the basis of the findings of #1-2, #4 tests the new methods in field trials, and #5 synthesises the findings in a reference model to inform the capturing of paradata and enabling data-intensive research using heterogeneous research data stemming from diverse origins.
"
Max ERC Funding
1 944 162 €
Duration
Start date: 2019-05-01, End date: 2024-04-30
Project acronym CellTrack
Project Cellular Position Tracking Using DNA Origami Barcodes
Researcher (PI) Bjoern HoeGBERG
Host Institution (HI) KAROLINSKA INSTITUTET
Country Sweden
Call Details Consolidator Grant (CoG), LS7, ERC-2016-COG
Summary The research I propose here will provide an enabling technology; spatially resolved transcriptomics, to address important problems in cell- and developmental-biology, in particular: How are stem cells in the skin and gut proliferating without turning into cancers? How are differentiated cells related, in their transcriptome and spatial positions, to their progenitors?
To investigate these problems on a molecular level and open up paths to find completely new spatiotemporal interdependencies in complex biological systems, I propose to use our newly developed DNA-origami strategy (Benson et al, Nature, 523 p. 441 (2015) ), combined with a combinatorial cloning technique, to build a new method for deep mRNA sequencing of tissue with single-cell resolution. These new types of origami are stable in physiological salt conditions and opens up their use in in-vivo applications.
In DNA-origami we can control the exact spatial position of all nucleotides. By folding the scaffold to display sequences for hybridization of fluorophores conjugated to DNA, we can create optical nano-barcodes. By using structures made out of DNA, the patterns of the optical barcodes will be readable both by imaging and by sequencing, thus enabling the creation of a mapping between cell locations in an organ and the mRNA expression of those cells.
We will use the method to perform spatially resolved transcriptomics in small organs: the mouse hair follicle, and small intestine crypt, and also perform the procedure for multiple samples collected at different time points. This will enable a high-dimensional data analysis that most likely will expose previously unknown dependencies that would provide completely new knowledge about how these biological systems work. By studying these systems, we will uncover much more information on how stem cells contribute to regeneration, the issue of de-differentiation that is a common theme in these organs and the effect this might have on the origin of cancer.
Summary
The research I propose here will provide an enabling technology; spatially resolved transcriptomics, to address important problems in cell- and developmental-biology, in particular: How are stem cells in the skin and gut proliferating without turning into cancers? How are differentiated cells related, in their transcriptome and spatial positions, to their progenitors?
To investigate these problems on a molecular level and open up paths to find completely new spatiotemporal interdependencies in complex biological systems, I propose to use our newly developed DNA-origami strategy (Benson et al, Nature, 523 p. 441 (2015) ), combined with a combinatorial cloning technique, to build a new method for deep mRNA sequencing of tissue with single-cell resolution. These new types of origami are stable in physiological salt conditions and opens up their use in in-vivo applications.
In DNA-origami we can control the exact spatial position of all nucleotides. By folding the scaffold to display sequences for hybridization of fluorophores conjugated to DNA, we can create optical nano-barcodes. By using structures made out of DNA, the patterns of the optical barcodes will be readable both by imaging and by sequencing, thus enabling the creation of a mapping between cell locations in an organ and the mRNA expression of those cells.
We will use the method to perform spatially resolved transcriptomics in small organs: the mouse hair follicle, and small intestine crypt, and also perform the procedure for multiple samples collected at different time points. This will enable a high-dimensional data analysis that most likely will expose previously unknown dependencies that would provide completely new knowledge about how these biological systems work. By studying these systems, we will uncover much more information on how stem cells contribute to regeneration, the issue of de-differentiation that is a common theme in these organs and the effect this might have on the origin of cancer.
Max ERC Funding
1 923 263 €
Duration
Start date: 2017-08-01, End date: 2022-07-31
Project acronym CONPOL
Project Contexts, networks and participation: The social logic of political engagement
Researcher (PI) Sven Aron Oskarsson
Host Institution (HI) UPPSALA UNIVERSITET
Country Sweden
Call Details Consolidator Grant (CoG), SH2, ERC-2015-CoG
Summary The statement that individuals’ immediate social circumstances influence how they think and act in the political sphere is a truism. However, both theoretical and empirical considerations have often prevented political scientists from incorporating this logic into analyses of political behavior. In the CONPOL project we argue that it is necessary to return to the idea that politics follows a social logic in order to push the theoretical and empirical boundaries in explaining political behavior. That is, people do not act as isolated individuals when confronting complex political tasks such as deciding whether to vote and which party or candidate to vote for. Instead politics should be seen as a social experience in which individuals arrive at their decisions within particular social settings: the family, the peer group, the workplace, the neighborhood. In what way do parents and other family members influence an individual’s political choices? What is the role of workmates and neighbors when individuals arrive at political decisions? Do friends and friends’ friends affect how you think and act in the political sphere? To answer such questions the standard approach to gather empirical evidence on political behavior based on national sample surveys needs to be complemented by the use of population wide register data. The empirical core of the CONPOL project is unique Swedish register data. Via the population registers provided by Statistics Sweden it is possible to identify several relevant social settings such as parent-child relations and the location of individuals within workplaces and neighborhoods. The registers also allow us to identify certain network links between individuals. Furthermore, Statistics Sweden holds information on several variables measuring important political traits. A major aim for CONPOL is to complement this information by scanning in and digitalizing election rolls with individual-level information on turnout across several elections.
Summary
The statement that individuals’ immediate social circumstances influence how they think and act in the political sphere is a truism. However, both theoretical and empirical considerations have often prevented political scientists from incorporating this logic into analyses of political behavior. In the CONPOL project we argue that it is necessary to return to the idea that politics follows a social logic in order to push the theoretical and empirical boundaries in explaining political behavior. That is, people do not act as isolated individuals when confronting complex political tasks such as deciding whether to vote and which party or candidate to vote for. Instead politics should be seen as a social experience in which individuals arrive at their decisions within particular social settings: the family, the peer group, the workplace, the neighborhood. In what way do parents and other family members influence an individual’s political choices? What is the role of workmates and neighbors when individuals arrive at political decisions? Do friends and friends’ friends affect how you think and act in the political sphere? To answer such questions the standard approach to gather empirical evidence on political behavior based on national sample surveys needs to be complemented by the use of population wide register data. The empirical core of the CONPOL project is unique Swedish register data. Via the population registers provided by Statistics Sweden it is possible to identify several relevant social settings such as parent-child relations and the location of individuals within workplaces and neighborhoods. The registers also allow us to identify certain network links between individuals. Furthermore, Statistics Sweden holds information on several variables measuring important political traits. A major aim for CONPOL is to complement this information by scanning in and digitalizing election rolls with individual-level information on turnout across several elections.
Max ERC Funding
1 621 940 €
Duration
Start date: 2016-09-01, End date: 2021-08-31
