Project acronym BRAINCELL
Project Charting the landscape of brain development by large-scale single-cell transcriptomics and phylogenetic lineage reconstruction
Researcher (PI) Sten Linnarsson
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Starting Grant (StG), LS2, ERC-2010-StG_20091118
Summary Embryogenesis is the temporal unfolding of cellular processes: proliferation, migration, differentiation, morphogenesis, apoptosis and functional specialization. These processes are well understood in specific tissues, and for specific cell types. Nevertheless, our systematic knowledge of the types of cells present in the developing and adult animal, and about their functional and lineage relationships, is limited. For example, there is no consensus on the number of cell types, and many important stem cells and progenitors remain to be discovered. Similarly, the lineage relationships between specific cell types are often poorly characterized. This is particularly true for the mammalian nervous system. We have developed (1) a reliable high-throghput method for sequencing all transcripts in 96 single cells at a time; and (2) a system for high-throughput phylogenetic lineage reconstruction. We now propose to characterize embryogenesis using a shotgun approach borrowed from genomics. Tissues will be dissected from multiple stages and dissociated to single cells. A total of 10,000 cells will be analyzed by RNA sequencing, revealing their functional cell type, their lineage relationships, and their current state (e.g. cell cycle phase). The novel approach proposed here will bring the powerful strategies pioneered in genomics into the field of developmental biology, including automation, digitization, and the random shotgun method. The data thus obtained will bring clarity to the concept of ‘cell type’; will provide a first catalog of mouse brain cell types with deep functional annotation; will provide markers for every cell type, including stem cells; and will serve as a basis for future comparative work, especially with human embryos.
Summary
Embryogenesis is the temporal unfolding of cellular processes: proliferation, migration, differentiation, morphogenesis, apoptosis and functional specialization. These processes are well understood in specific tissues, and for specific cell types. Nevertheless, our systematic knowledge of the types of cells present in the developing and adult animal, and about their functional and lineage relationships, is limited. For example, there is no consensus on the number of cell types, and many important stem cells and progenitors remain to be discovered. Similarly, the lineage relationships between specific cell types are often poorly characterized. This is particularly true for the mammalian nervous system. We have developed (1) a reliable high-throghput method for sequencing all transcripts in 96 single cells at a time; and (2) a system for high-throughput phylogenetic lineage reconstruction. We now propose to characterize embryogenesis using a shotgun approach borrowed from genomics. Tissues will be dissected from multiple stages and dissociated to single cells. A total of 10,000 cells will be analyzed by RNA sequencing, revealing their functional cell type, their lineage relationships, and their current state (e.g. cell cycle phase). The novel approach proposed here will bring the powerful strategies pioneered in genomics into the field of developmental biology, including automation, digitization, and the random shotgun method. The data thus obtained will bring clarity to the concept of ‘cell type’; will provide a first catalog of mouse brain cell types with deep functional annotation; will provide markers for every cell type, including stem cells; and will serve as a basis for future comparative work, especially with human embryos.
Max ERC Funding
1 496 032 €
Duration
Start date: 2010-11-01, End date: 2015-10-31
Project acronym BRAINGAIN
Project NOVEL STRATEGIES FOR BRAIN REGENERATION
Researcher (PI) Andras Simon
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Starting Grant (StG), LS3, ERC-2011-StG_20101109
Summary In contrast to mammals, newts possess exceptional capacities among vertebrates to rebuild complex structures, such as the brain. Our goal is to bridge the gap in the regenerative outcomes between newts and mammals. My group has made significant contributions towards this goal. We created a novel experimental system, which recapitulates central features of Parkinson’s disease in newts, and provides a unique model for understanding regeneration in the adult midbrain. We showed an unexpected but key feature of the newt brain that it is akin to the mammalian brain in terms of the extent of homeostatic cell turn over, but distinct in terms of its injury response, showing the regenerative capacity of the adult vertebrate brain by activating neurogenesis in normally quiescent regions. Further we established a critical role for the neurotransmitter dopamine in controlling quiescence in the midbrain, thereby preventing neurogenesis during homeostasis and terminating neurogenesis once the correct number of neurons has been produced during regeneration. Here we aim to identify key molecular pathways that regulate adult neurogenesis, to define lineage relationships between neuronal stem and progenitor cells, and to identify essential differences between newts and mammals. We will combine pharmacological modulation of neurotransmitter signaling with extensive cellular fate mapping approaches, and molecular manipulations. Ultimately we will test hypotheses derived from newt studies with mammalian systems including newt/mouse cross species complementation approaches. We expect that our findings will provide new regenerative strategies, and reveal fundamental aspects of cell fate determination, tissue growth, and tissue maintenance in normal and pathological conditions.
Summary
In contrast to mammals, newts possess exceptional capacities among vertebrates to rebuild complex structures, such as the brain. Our goal is to bridge the gap in the regenerative outcomes between newts and mammals. My group has made significant contributions towards this goal. We created a novel experimental system, which recapitulates central features of Parkinson’s disease in newts, and provides a unique model for understanding regeneration in the adult midbrain. We showed an unexpected but key feature of the newt brain that it is akin to the mammalian brain in terms of the extent of homeostatic cell turn over, but distinct in terms of its injury response, showing the regenerative capacity of the adult vertebrate brain by activating neurogenesis in normally quiescent regions. Further we established a critical role for the neurotransmitter dopamine in controlling quiescence in the midbrain, thereby preventing neurogenesis during homeostasis and terminating neurogenesis once the correct number of neurons has been produced during regeneration. Here we aim to identify key molecular pathways that regulate adult neurogenesis, to define lineage relationships between neuronal stem and progenitor cells, and to identify essential differences between newts and mammals. We will combine pharmacological modulation of neurotransmitter signaling with extensive cellular fate mapping approaches, and molecular manipulations. Ultimately we will test hypotheses derived from newt studies with mammalian systems including newt/mouse cross species complementation approaches. We expect that our findings will provide new regenerative strategies, and reveal fundamental aspects of cell fate determination, tissue growth, and tissue maintenance in normal and pathological conditions.
Max ERC Funding
1 500 000 €
Duration
Start date: 2012-02-01, End date: 2017-01-31
Project acronym CELLONGATE
Project Unraveling the molecular network that drives cell growth in plants
Researcher (PI) Matyas FENDRYCH
Host Institution (HI) UNIVERZITA KARLOVA
Call Details Starting Grant (StG), LS3, ERC-2018-STG
Summary Plants differ strikingly from animals by the almost total absence of cell migration in their development. Plants build their bodies using a hydrostatic skeleton that consists of pressurized cells encased by a cell wall. Consequently, plant cells cannot migrate and must sculpture their bodies by orientation of cell division and precise regulation of cell growth. Cell growth depends on the balance between internal cell pressure – turgor, and strength of the cell wall. Cell growth is under a strict developmental control, which is exemplified in the Arabidopsis thaliana root tip, where massive cell elongation occurs in a defined spatio-temporal developmental window. Despite the immobility of their cells, plant organs move to optimize light and nutrient acquisition and to orient their bodies along the gravity vector. These movements depend on differential regulation of cell elongation across the organ, and on response to the phytohormone auxin. Even though the control of cell growth is in the epicenter of plant development, protein networks steering the developmental growth onset, coordination and termination remain elusive. Similarly, although auxin is the central regulator of growth, the molecular mechanism of its effect on root growth is unknown. In this project, I will establish a unique microscopy setup for high spatio-temporal resolution live-cell imaging equipped with a microfluidic lab-on-chip platform optimized for growing roots, to enable analysis and manipulation of root growth physiology. I will use developmental gradients in the root to discover genes that steer cellular growth, by correlating transcriptome profiles of individual cell types with the cell size. In parallel, I will exploit the auxin effect on root to unravel molecular mechanisms that control cell elongation. Finally, I am going to combine the live-cell imaging methodology with the gene discovery approaches to chart a dynamic spatio-temporal physiological map of a growing Arabidopsis root.
Summary
Plants differ strikingly from animals by the almost total absence of cell migration in their development. Plants build their bodies using a hydrostatic skeleton that consists of pressurized cells encased by a cell wall. Consequently, plant cells cannot migrate and must sculpture their bodies by orientation of cell division and precise regulation of cell growth. Cell growth depends on the balance between internal cell pressure – turgor, and strength of the cell wall. Cell growth is under a strict developmental control, which is exemplified in the Arabidopsis thaliana root tip, where massive cell elongation occurs in a defined spatio-temporal developmental window. Despite the immobility of their cells, plant organs move to optimize light and nutrient acquisition and to orient their bodies along the gravity vector. These movements depend on differential regulation of cell elongation across the organ, and on response to the phytohormone auxin. Even though the control of cell growth is in the epicenter of plant development, protein networks steering the developmental growth onset, coordination and termination remain elusive. Similarly, although auxin is the central regulator of growth, the molecular mechanism of its effect on root growth is unknown. In this project, I will establish a unique microscopy setup for high spatio-temporal resolution live-cell imaging equipped with a microfluidic lab-on-chip platform optimized for growing roots, to enable analysis and manipulation of root growth physiology. I will use developmental gradients in the root to discover genes that steer cellular growth, by correlating transcriptome profiles of individual cell types with the cell size. In parallel, I will exploit the auxin effect on root to unravel molecular mechanisms that control cell elongation. Finally, I am going to combine the live-cell imaging methodology with the gene discovery approaches to chart a dynamic spatio-temporal physiological map of a growing Arabidopsis root.
Max ERC Funding
1 498 750 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym FLOWGENE
Project Following the Genomic Footprints of Early Europeans
Researcher (PI) Bo Mattias Jakobsson
Host Institution (HI) UPPSALA UNIVERSITET
Call Details Starting Grant (StG), LS2, ERC-2012-StG_20111109
Summary Two of greatest challenges of the post-genomic era are to (i) develop a detailed understanding of the heritable variation in the human genome, and to (ii) determine which key events in human evolutionary history that are responsible for patterns of genomic variation. The recent genomic revolution will be instrumental in these quests and we will very soon have access to several thousand complete genomes from diverse populations.
Extracting genetic information from ancient material has for long been hampered by numerous difficulties after its first steps some two decades ago, but in the last few years, many of these problems have been solved and the use of ancient DNA is now beginning to show its full potential. The use of ancient DNA has been announced among the top-ten ‘insights of the decade’ by Science, and promises to transform our views on human origins and prehistory.
The demographic history of Europeans attracts great interest in archaeology, anthropology, and human genetics, and it has drawn extensive research focus for more than a century. The recent genomic revolution has opened up the time dimension for genomic analyses, however, to harness the full potential of genomic data from modern and ancient material, we need new population genetic theory and modern statistical analysis tools. I propose to conduct 3 Ancient Genome Projects to generate complete genomes for multiple individuals from 3 time epochs in the European prehistory; the Cro-Magnon-, the Mesolithic-, and the Neolithic-Genome project. These Genome Projects will proceed in concert with development a) new population genetic theory and novel tools for demographic inference, b) a novel, temporal based, framework for characterizing selection and local adaptation, and c) explore the evolutionary history of gene-variants associated with traits and diseases. Genomic data from temporal samples has the potential to revolutionize our understanding of human evolution and the demographic history of Europe.
Summary
Two of greatest challenges of the post-genomic era are to (i) develop a detailed understanding of the heritable variation in the human genome, and to (ii) determine which key events in human evolutionary history that are responsible for patterns of genomic variation. The recent genomic revolution will be instrumental in these quests and we will very soon have access to several thousand complete genomes from diverse populations.
Extracting genetic information from ancient material has for long been hampered by numerous difficulties after its first steps some two decades ago, but in the last few years, many of these problems have been solved and the use of ancient DNA is now beginning to show its full potential. The use of ancient DNA has been announced among the top-ten ‘insights of the decade’ by Science, and promises to transform our views on human origins and prehistory.
The demographic history of Europeans attracts great interest in archaeology, anthropology, and human genetics, and it has drawn extensive research focus for more than a century. The recent genomic revolution has opened up the time dimension for genomic analyses, however, to harness the full potential of genomic data from modern and ancient material, we need new population genetic theory and modern statistical analysis tools. I propose to conduct 3 Ancient Genome Projects to generate complete genomes for multiple individuals from 3 time epochs in the European prehistory; the Cro-Magnon-, the Mesolithic-, and the Neolithic-Genome project. These Genome Projects will proceed in concert with development a) new population genetic theory and novel tools for demographic inference, b) a novel, temporal based, framework for characterizing selection and local adaptation, and c) explore the evolutionary history of gene-variants associated with traits and diseases. Genomic data from temporal samples has the potential to revolutionize our understanding of human evolution and the demographic history of Europe.
Max ERC Funding
1 500 000 €
Duration
Start date: 2012-10-01, End date: 2017-09-30
Project acronym GENOMIS
Project Illuminating GENome Organization through integrated MIcroscopy and Sequencing
Researcher (PI) Marzena Magda BIENKO
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Starting Grant (StG), LS2, ERC-2016-STG
Summary In human cells, two meters of DNA sequence are compressed into a nucleus whose linear size is five orders of magnitude smaller. Deciphering how this amazing structural organization is achieved and how DNA functions can ensue in the environment of a cell’s nucleus represent central questions for contemporary biology.
Here, I embrace this challenge by establishing a comprehensive framework of microscopy and sequencing technologies coupled with advanced analytical approaches, aimed at addressing three fundamental highly-interconnected questions: 1) What are the design principles that govern DNA compaction? 2) How does genome structure vary between different cell types as well as among cells of the same type? 3) What is the link between genome structure and function? In preliminary experiments, we have devised a powerful method for Genomic loci Positioning by Sequencing (GPSeq) in fixed cells with optimally preserved nuclear morphology. In parallel, we are developing high-end microscopy tools for simultaneous localization of dozens of genomic locations at high resolution in thousands of single cells.
We will obtain first-ever genome-wide maps of radial positioning of DNA loci in the nucleus, and combine them with available DNA contact probability maps in order to build 3D models of the human genome structure in different cell types. Using microscopy, we will visualize chromosomal shapes at unprecedented resolution, and use these rich datasets to discover general DNA folding principles. Finally, by combining high-resolution chromosome visualization with gene expression profiling in single cells, we will explore the link between DNA structure and function. Our study shall illuminate the design principles that dictate how genetic information is packed and read in the human nucleus, while providing a comprehensive repertoire of tools for studying genome organization.
Summary
In human cells, two meters of DNA sequence are compressed into a nucleus whose linear size is five orders of magnitude smaller. Deciphering how this amazing structural organization is achieved and how DNA functions can ensue in the environment of a cell’s nucleus represent central questions for contemporary biology.
Here, I embrace this challenge by establishing a comprehensive framework of microscopy and sequencing technologies coupled with advanced analytical approaches, aimed at addressing three fundamental highly-interconnected questions: 1) What are the design principles that govern DNA compaction? 2) How does genome structure vary between different cell types as well as among cells of the same type? 3) What is the link between genome structure and function? In preliminary experiments, we have devised a powerful method for Genomic loci Positioning by Sequencing (GPSeq) in fixed cells with optimally preserved nuclear morphology. In parallel, we are developing high-end microscopy tools for simultaneous localization of dozens of genomic locations at high resolution in thousands of single cells.
We will obtain first-ever genome-wide maps of radial positioning of DNA loci in the nucleus, and combine them with available DNA contact probability maps in order to build 3D models of the human genome structure in different cell types. Using microscopy, we will visualize chromosomal shapes at unprecedented resolution, and use these rich datasets to discover general DNA folding principles. Finally, by combining high-resolution chromosome visualization with gene expression profiling in single cells, we will explore the link between DNA structure and function. Our study shall illuminate the design principles that dictate how genetic information is packed and read in the human nucleus, while providing a comprehensive repertoire of tools for studying genome organization.
Max ERC Funding
1 499 808 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym GENOVAR
Project Sequence based strategies to identify genetic variation associated with mental retardation and schizophrenia
Researcher (PI) Lars Feuk
Host Institution (HI) UPPSALA UNIVERSITET
Call Details Starting Grant (StG), LS2, ERC-2011-StG_20101109
Summary Mental retardation (MR) and schizophrenia (SCZ) are disorders of the brain that affect 2-3% and 1% of the population, respectively. Both disorders are considered to be highly heritable, but exhibit heterogeneous genetic etiology. Recent genetic studies have led to discoveries that the same variants that can give rise to different neuropsychiatric disorders, including MR and SCZ. In this proposal, sequencing will be used to identify novel genes involved in MR and SCZ, and to explore the potential overlap between these disorders. The specific goals of the research plan include:
1. Genetic characterization of patients from large pedigrees with SCZ and MR.
Five pedigrees have been collected in which multiple individuals are affected by SCZ or MR. The pedigrees vary in size, with the largest spanning 12 generations including 3,400 individuals. Exome and whole genome sequencing will be performed to identify the genetic variants associated with disease. Candidate genes identified will be screened in large independent cohorts of MR and SCZ patients. In addition, RNA sequencing will be performed on cell lines established for patients and controls from two of the pedigrees.
2. Screening of trios to identify novel genes causing MR
Mental retardation (MR) patients are typically referred for array-based analysis. With current genetic screening using microarray, a clinically significant rearrangement is identified in 15-20% of patients. I propose use high throughput sequencing to screen MR patients and their parents with the goal of identifying new MR genes and to investigate to what extent the diagnostic yield can be increased.
By combining sequencing, bioinformatics and carefully selected clinical material, the work presented in this proposal will lead to an increased understanding of disease mechanisms and enable the development of novel targets and strategies for molecular diagnostic screening.
Summary
Mental retardation (MR) and schizophrenia (SCZ) are disorders of the brain that affect 2-3% and 1% of the population, respectively. Both disorders are considered to be highly heritable, but exhibit heterogeneous genetic etiology. Recent genetic studies have led to discoveries that the same variants that can give rise to different neuropsychiatric disorders, including MR and SCZ. In this proposal, sequencing will be used to identify novel genes involved in MR and SCZ, and to explore the potential overlap between these disorders. The specific goals of the research plan include:
1. Genetic characterization of patients from large pedigrees with SCZ and MR.
Five pedigrees have been collected in which multiple individuals are affected by SCZ or MR. The pedigrees vary in size, with the largest spanning 12 generations including 3,400 individuals. Exome and whole genome sequencing will be performed to identify the genetic variants associated with disease. Candidate genes identified will be screened in large independent cohorts of MR and SCZ patients. In addition, RNA sequencing will be performed on cell lines established for patients and controls from two of the pedigrees.
2. Screening of trios to identify novel genes causing MR
Mental retardation (MR) patients are typically referred for array-based analysis. With current genetic screening using microarray, a clinically significant rearrangement is identified in 15-20% of patients. I propose use high throughput sequencing to screen MR patients and their parents with the goal of identifying new MR genes and to investigate to what extent the diagnostic yield can be increased.
By combining sequencing, bioinformatics and carefully selected clinical material, the work presented in this proposal will lead to an increased understanding of disease mechanisms and enable the development of novel targets and strategies for molecular diagnostic screening.
Max ERC Funding
1 496 574 €
Duration
Start date: 2012-08-01, End date: 2017-07-31
Project acronym K9GENES
Project Mapping canine genes and pathways to leverage personalized treatment options
Researcher (PI) Kerstin Lindblad-Toh
Host Institution (HI) UPPSALA UNIVERSITET
Call Details Starting Grant (StG), LS2, ERC-2012-StG_20111109
Summary The domestic dog encompasses hundreds of genetically isolated breeds, many of which show an increased risk for certain diseases. With the canine genome sequence, an understanding of the haplotype structure and availability of disease gene mapping tools, we are now in a unique position to map canine disease genes to inform human biology and medicine. So far we have mapped monogenic traits as well as >40 loci for >10 complex traits. We now propose to map genes for key diseases using many breeds to dissect a larger number of genes underlying the specific disease. We further plan to evaluate the functional consequences of mutations and pilot personalized treatment strategies based on genetic risk. The specific aims are:
1.Characterization of disease phenotypes, breed predisposition and sample acquisition. We are currently collecting samples from >20 diseases and will expand our phenotypic classification and sample collection to a larger number of breeds for some key diseases such as osteosarcoma, breast cancer, behavior and atopy or lymphocytic thyroiditis.
2.Identification and functional characterization of canine disease genes and pathways. We will perform genomewide association mapping followed by targeted resequencing for mutation detection. Pathway analysis will be performed to understand the disease mechanisms mostly contributing to the disease. For select mutations, we will use state of the art molecular biology to provide detailed functional characterization of selected genes revealed by our gene discovery platform.
3.Piloting canine personalized treatment strategies based on inherited risk factors.
For a few diseases we will pilot personalized treatment strategies based on inherited risk factors, utilizing the genetic information gathered in aim 2. Available or novel drugs acting on the identified pathways will be tested in dogs with specific risk factors using a veterinary network for clinical trials.
Knowledge gained should inform human personalized medicine.
Summary
The domestic dog encompasses hundreds of genetically isolated breeds, many of which show an increased risk for certain diseases. With the canine genome sequence, an understanding of the haplotype structure and availability of disease gene mapping tools, we are now in a unique position to map canine disease genes to inform human biology and medicine. So far we have mapped monogenic traits as well as >40 loci for >10 complex traits. We now propose to map genes for key diseases using many breeds to dissect a larger number of genes underlying the specific disease. We further plan to evaluate the functional consequences of mutations and pilot personalized treatment strategies based on genetic risk. The specific aims are:
1.Characterization of disease phenotypes, breed predisposition and sample acquisition. We are currently collecting samples from >20 diseases and will expand our phenotypic classification and sample collection to a larger number of breeds for some key diseases such as osteosarcoma, breast cancer, behavior and atopy or lymphocytic thyroiditis.
2.Identification and functional characterization of canine disease genes and pathways. We will perform genomewide association mapping followed by targeted resequencing for mutation detection. Pathway analysis will be performed to understand the disease mechanisms mostly contributing to the disease. For select mutations, we will use state of the art molecular biology to provide detailed functional characterization of selected genes revealed by our gene discovery platform.
3.Piloting canine personalized treatment strategies based on inherited risk factors.
For a few diseases we will pilot personalized treatment strategies based on inherited risk factors, utilizing the genetic information gathered in aim 2. Available or novel drugs acting on the identified pathways will be tested in dogs with specific risk factors using a veterinary network for clinical trials.
Knowledge gained should inform human personalized medicine.
Max ERC Funding
1 499 365 €
Duration
Start date: 2012-12-01, End date: 2017-11-30
Project acronym miRCell
Project MicroRNA functions in single cells
Researcher (PI) Marc FRIEDLÄNDER
Host Institution (HI) STOCKHOLMS UNIVERSITET
Call Details Starting Grant (StG), LS2, ERC-2017-STG
Summary It is now becoming apparent that genes are regulated not only by transcription, but also by thousands of post-transcriptional regulators that can stabilize or degrade mRNAs. Some of the most important regulators are miRNAs, short RNA molecules that are deeply conserved in sequence and are involved in numerous biological processes, including human disease. Surprisingly, transcriptomic and proteomic studies show that most miRNAs only have subtle silencing effects on their targets, suggesting additional important, but yet undiscovered functions. Thus the question is raised: if the main function of miRNAs is not to silence targets, what is it?
I will test two novel hypotheses about miRNA function. The first hypothesis proposes that miRNAs can buffer gene expression noise. The second hypothesis is inspired by my preliminary results and proposes that miRNAs can synchronize expression of genes. If I validate either hypothesis, it would mean that miRNA functions can be investigated in entirely new ways, yielding important new biological insights relevant to both basic research and human health. However, these hypotheses can only be tested in individual cells, and the necessary single-cell technologies and computational tools are only maturing now.
I will apply my expertise in miRNA biology and in combined wet-lab and computational methods to design, develop and apply miRCell-seq to test these two hypotheses in cell cultures and in animals. This new method will for the first time measure miRNAs, their targets, and the interactions between them in single cells and transcriptome-wide. We will use mutant cells devoid of miRNAs and time course experiments to generate sufficient data to develop detailed models of the miRNA impact on their targets. We will then validate our findings with single cell proteomics. This project thus has the potential to reveal novel functions of miRNAs and substantially improve our general understanding of gene regulation.
Summary
It is now becoming apparent that genes are regulated not only by transcription, but also by thousands of post-transcriptional regulators that can stabilize or degrade mRNAs. Some of the most important regulators are miRNAs, short RNA molecules that are deeply conserved in sequence and are involved in numerous biological processes, including human disease. Surprisingly, transcriptomic and proteomic studies show that most miRNAs only have subtle silencing effects on their targets, suggesting additional important, but yet undiscovered functions. Thus the question is raised: if the main function of miRNAs is not to silence targets, what is it?
I will test two novel hypotheses about miRNA function. The first hypothesis proposes that miRNAs can buffer gene expression noise. The second hypothesis is inspired by my preliminary results and proposes that miRNAs can synchronize expression of genes. If I validate either hypothesis, it would mean that miRNA functions can be investigated in entirely new ways, yielding important new biological insights relevant to both basic research and human health. However, these hypotheses can only be tested in individual cells, and the necessary single-cell technologies and computational tools are only maturing now.
I will apply my expertise in miRNA biology and in combined wet-lab and computational methods to design, develop and apply miRCell-seq to test these two hypotheses in cell cultures and in animals. This new method will for the first time measure miRNAs, their targets, and the interactions between them in single cells and transcriptome-wide. We will use mutant cells devoid of miRNAs and time course experiments to generate sufficient data to develop detailed models of the miRNA impact on their targets. We will then validate our findings with single cell proteomics. This project thus has the potential to reveal novel functions of miRNAs and substantially improve our general understanding of gene regulation.
Max ERC Funding
1 497 650 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym OXYGEN SENSING
Project Acute oxygen sensing and oxygen tolerance in C. elegans
Researcher (PI) Changchun CHEN
Host Institution (HI) UMEA UNIVERSITET
Call Details Starting Grant (StG), LS2, ERC-2018-STG
Summary Oxygen (O2) levels can vary enormously in the environment, which induces dramatic behavioral and physiological changes to resident animals. Adaptations to O2 variations can be either acute or sustained. How animals detect and respond to the changes of O2 availability remains elusive at the molecular level. In particular, what is the precise mechanism of acute O2 sensing, what are the primary sensor for acute hypoxia, and why do neurons of various species exhibit completely different sensitivity to hypoxic challenges? The research proposed here aims at addressing these intriguing but challenging questions in the model system nematode C. elegans, which offers unique advantages to systematically dissect O2 sensing at both genetic and neural circuit levels. C. elegans responds dramatically to acute O2 variations by altering its locomotory speed. We will make use of this robust behavioral response to O2 stimulation for high-throughput genetic screens, aiming to identify a collection of molecules critical for acute O2 sensing. These molecules will be subsequently characterized in the context of a well-described nervous system of C. elegans. Our findings will offer the opportunity to shed light on conserved principles of acute O2 sensing that are operating in the O2 sensing systems in humans such as carotid body. In addition to its robust responses to O2 variation, C. elegans exhibits remarkable tolerance to a complete lack of O2, anoxic exposure. My team will thoroughly investigate anoxia tolerance of C. elegans by performing a screen for anoxia-sensitive mutants that has previously been challenging. The discoveries will allow us to delineate the molecular underpinning of anoxia tolerance in C. elegans, and to inspire other researchers to develop better strategies to cope with hypoxic challenges caused by certain diseases such as stroke and ischemia, which are the most causes of human deaths in developed countries.
Summary
Oxygen (O2) levels can vary enormously in the environment, which induces dramatic behavioral and physiological changes to resident animals. Adaptations to O2 variations can be either acute or sustained. How animals detect and respond to the changes of O2 availability remains elusive at the molecular level. In particular, what is the precise mechanism of acute O2 sensing, what are the primary sensor for acute hypoxia, and why do neurons of various species exhibit completely different sensitivity to hypoxic challenges? The research proposed here aims at addressing these intriguing but challenging questions in the model system nematode C. elegans, which offers unique advantages to systematically dissect O2 sensing at both genetic and neural circuit levels. C. elegans responds dramatically to acute O2 variations by altering its locomotory speed. We will make use of this robust behavioral response to O2 stimulation for high-throughput genetic screens, aiming to identify a collection of molecules critical for acute O2 sensing. These molecules will be subsequently characterized in the context of a well-described nervous system of C. elegans. Our findings will offer the opportunity to shed light on conserved principles of acute O2 sensing that are operating in the O2 sensing systems in humans such as carotid body. In addition to its robust responses to O2 variation, C. elegans exhibits remarkable tolerance to a complete lack of O2, anoxic exposure. My team will thoroughly investigate anoxia tolerance of C. elegans by performing a screen for anoxia-sensitive mutants that has previously been challenging. The discoveries will allow us to delineate the molecular underpinning of anoxia tolerance in C. elegans, and to inspire other researchers to develop better strategies to cope with hypoxic challenges caused by certain diseases such as stroke and ischemia, which are the most causes of human deaths in developed countries.
Max ERC Funding
1 485 000 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym PATHOPROT
Project In vivo pathogen proteome profiling using selected reaction monitoring
Researcher (PI) Anders Johan Malmström
Host Institution (HI) LUNDS UNIVERSITET
Call Details Starting Grant (StG), LS2, ERC-2012-StG_20111109
Summary Bacterial infections represent a major and global health problem, which is further aggravated by the rapid and ongoing increase in antibiotic resistance. The limited success in the development of targeted therapies for particular invasive strains can be attributed to our limited knowledge how pathogens modulate their proteome homeostasis in vivo, knowledge that has so far remained elusive due to technical limitations.
Here I propose the use of proteome-wide selected reaction monitoring mass spectrometry (SRM-MS) for pathogen proteome profiling from samples obtained directly from in vivo using group A streptococci (GAS) as a model system. The proposal describes the use of SRM-MS to facilitate the construction of comprehensive and quantitative molecular anatomy knowledge models outlining spatial organization, pathway organization, absolute protein concentration estimations and interaction partners with host for complete microbial proteomes. Using the molecular anatomy as benchmark I intend compare how the proteome homeostasis is controlled in pathogens isolated directly from patients with different degree of disease severity to understand how disease severity, anatomical location and host dependencies effects the proteome homeostasis.
The outlined proposal describes a generic strategy to provide comprehensive understanding of the pathogen adaption directly in vivo and represents a paradigm shift in the field of bacterial infectious disease. This proposal addresses central aspects within the medical microbiology field that has been long sought for but never studied due to technology limitations and will influence the development of the next generation targeted vaccine and therapeutic development programs.
Summary
Bacterial infections represent a major and global health problem, which is further aggravated by the rapid and ongoing increase in antibiotic resistance. The limited success in the development of targeted therapies for particular invasive strains can be attributed to our limited knowledge how pathogens modulate their proteome homeostasis in vivo, knowledge that has so far remained elusive due to technical limitations.
Here I propose the use of proteome-wide selected reaction monitoring mass spectrometry (SRM-MS) for pathogen proteome profiling from samples obtained directly from in vivo using group A streptococci (GAS) as a model system. The proposal describes the use of SRM-MS to facilitate the construction of comprehensive and quantitative molecular anatomy knowledge models outlining spatial organization, pathway organization, absolute protein concentration estimations and interaction partners with host for complete microbial proteomes. Using the molecular anatomy as benchmark I intend compare how the proteome homeostasis is controlled in pathogens isolated directly from patients with different degree of disease severity to understand how disease severity, anatomical location and host dependencies effects the proteome homeostasis.
The outlined proposal describes a generic strategy to provide comprehensive understanding of the pathogen adaption directly in vivo and represents a paradigm shift in the field of bacterial infectious disease. This proposal addresses central aspects within the medical microbiology field that has been long sought for but never studied due to technology limitations and will influence the development of the next generation targeted vaccine and therapeutic development programs.
Max ERC Funding
1 498 699 €
Duration
Start date: 2013-05-01, End date: 2018-04-30
Project acronym SINGLE-CELL GENOMICS
Project Single-cell Gene Regulation in Differentiation and Pluripotency
Researcher (PI) Thore Rickard Hakan Sandberg
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Starting Grant (StG), LS2, ERC-2009-StG
Summary We aim to study transcriptomes with single-cell resolution, a long-standing goal in biology, to answer fundamental questions about gene regulation. The main objective concerns gene regulation during in vivo differentiation and in pluripotent cells by studying single-cells from murine preimplantation embryos, a model system with natural single-cell resolution, important biology and medical potential. This would also allow us to explore general regulatory principles of gene expression programs of individual cells. This research program will be accomplished by novel deep sequencing technology of mRNAs (mRNA-Seq) to obtain quantitative, unbiased and genome-wide gene and isoform expression measurements. We are therefore developing new experimental and computational methods for genome-wide analyses of transcriptomes at single-cell resolution. The biological significances of the proposed research are unique insights into early embryonic development. Deep sequencing of transcriptomes will also reveal post-transcriptional gene regulation important for pluripotent cells and identified pluripotency-specific gene and isoform expressions will be important for future stem cell based therapies. The inherit single-cell nature of the model system together with its important biology makes it a model systems exceptionally well suited for a systems biology approach aiming to characterize gene regulation at single-cell resolution. The novel methodology has tremendous potential to enable complete mRNA characterization of individual cells. The deep sequencing approach with state-of-the-art computational analyses is both more quantitative than previous methods and it will give readouts on alternative isoforms generated by alternative promoters, splicing and polyadenylation.
Summary
We aim to study transcriptomes with single-cell resolution, a long-standing goal in biology, to answer fundamental questions about gene regulation. The main objective concerns gene regulation during in vivo differentiation and in pluripotent cells by studying single-cells from murine preimplantation embryos, a model system with natural single-cell resolution, important biology and medical potential. This would also allow us to explore general regulatory principles of gene expression programs of individual cells. This research program will be accomplished by novel deep sequencing technology of mRNAs (mRNA-Seq) to obtain quantitative, unbiased and genome-wide gene and isoform expression measurements. We are therefore developing new experimental and computational methods for genome-wide analyses of transcriptomes at single-cell resolution. The biological significances of the proposed research are unique insights into early embryonic development. Deep sequencing of transcriptomes will also reveal post-transcriptional gene regulation important for pluripotent cells and identified pluripotency-specific gene and isoform expressions will be important for future stem cell based therapies. The inherit single-cell nature of the model system together with its important biology makes it a model systems exceptionally well suited for a systems biology approach aiming to characterize gene regulation at single-cell resolution. The novel methodology has tremendous potential to enable complete mRNA characterization of individual cells. The deep sequencing approach with state-of-the-art computational analyses is both more quantitative than previous methods and it will give readouts on alternative isoforms generated by alternative promoters, splicing and polyadenylation.
Max ERC Funding
1 654 384 €
Duration
Start date: 2010-02-01, End date: 2015-01-31
Project acronym TF DYNAMICS IN VIVO
Project Transcription Factor Dynamics in Living Cells at the Single Molecule Level
Researcher (PI) Johan Elf
Host Institution (HI) UPPSALA UNIVERSITET
Call Details Starting Grant (StG), LS2, ERC-2007-StG
Summary Progress in bioengineering and biomedicine is limited by our inadequate understanding of genetic control systems in living cells. The lack of methods for studying kinetics and gene regulation in single cells seriously impairs our prospects to gain deeper insight to develop better quantitative models of such control systems. This project is focused on transcription factors (TFs), proteins that mediate gene regulation in all kingdoms of life. It aims at understanding how bacterial TFs coordinate the expression of genes at the level of single cells. The experimental challenge of studying TF mediated gene regulation directly is that it is a single molecule process where one or a few TF molecules bind one or a few binding sites on the bacterial chromosome. In addition studying TF kinetics poses two major theoretical challenges: its non-negligible spatial aspects and the stochastic nature of kinetics at the single molecule level. This proposal describes new state-of-the-art single molecule microscopy methods for studying kinetics and diffusion of TFs in living cells. The proposed experimental techniques will be accompanied by pioneering computational methods for stochastic reaction-diffusion modeling of intracellular kinetics. Only by the concomitant advancement of both methodologies will we gain understanding of how transcription factors operate in living cells, how their copy number is maintained, how different classes of TFs optimize their search for chromosomal targets, and how the location of TF genes and binding sites constrain genome evolution. Direct observation of TF dynamics will allow probing gene regulation with unprecedented time resolution. This makes it possible to test hypotheses about coordinated gene regulation which have so far been experimentally inaccessible. The unique combination of single molecule in vivo microscopy and spatially resolved stochastic modeling will advance Europe’s position at the frontier of systems biology.
Summary
Progress in bioengineering and biomedicine is limited by our inadequate understanding of genetic control systems in living cells. The lack of methods for studying kinetics and gene regulation in single cells seriously impairs our prospects to gain deeper insight to develop better quantitative models of such control systems. This project is focused on transcription factors (TFs), proteins that mediate gene regulation in all kingdoms of life. It aims at understanding how bacterial TFs coordinate the expression of genes at the level of single cells. The experimental challenge of studying TF mediated gene regulation directly is that it is a single molecule process where one or a few TF molecules bind one or a few binding sites on the bacterial chromosome. In addition studying TF kinetics poses two major theoretical challenges: its non-negligible spatial aspects and the stochastic nature of kinetics at the single molecule level. This proposal describes new state-of-the-art single molecule microscopy methods for studying kinetics and diffusion of TFs in living cells. The proposed experimental techniques will be accompanied by pioneering computational methods for stochastic reaction-diffusion modeling of intracellular kinetics. Only by the concomitant advancement of both methodologies will we gain understanding of how transcription factors operate in living cells, how their copy number is maintained, how different classes of TFs optimize their search for chromosomal targets, and how the location of TF genes and binding sites constrain genome evolution. Direct observation of TF dynamics will allow probing gene regulation with unprecedented time resolution. This makes it possible to test hypotheses about coordinated gene regulation which have so far been experimentally inaccessible. The unique combination of single molecule in vivo microscopy and spatially resolved stochastic modeling will advance Europe’s position at the frontier of systems biology.
Max ERC Funding
1 335 000 €
Duration
Start date: 2008-07-01, End date: 2013-06-30
Project acronym Triploid Block
Project Mechanisms of polyploidy-mediated postzygotic reproductive isolation
Researcher (PI) Claudia Köhler
Host Institution (HI) SVERIGES LANTBRUKSUNIVERSITET
Call Details Starting Grant (StG), LS3, ERC-2011-StG_20101109
Summary Polyploidization is a widespread phenomenon among plants and is considered a major speciation mechanism. Before becoming evolutionary successful, newly formed polyploids often have to overcome fertility bottlenecks, because mating with partners of lower ploidy causes incompatibilities in the endosperm leading to the formation of mainly non-viable progeny. This reproductive barrier is called the triploid block. Nevertheless, the most frequent route to polyploid formation is probably through unreduced gametes, suggesting that the triploid block can be overcome. Recent work from our laboratory uncovered a genetic pathway leading to unreduced gamete formation at high frequency and revealed that the triploid block is mainly caused by malfunction of Polycomb group (PcG) proteins. PcG proteins are evolutionary conserved proteins, which assemble into multimeric complexes with chromatin-modifying enzymatic activity, implicating epigenetic regulatory mechanisms as an important element of speciation. Here, I propose to unravel the underlying molecular mechanism(s) of the triploid block by identifying the responsible genes causing endosperm failure upon deregulation and their mechanism of regulation in response to interploidy crosses. I also plan to investigate whether genes that contribute to the triploid block are as well responsible for establishing interspecies incompatibilities within the Arabidopsis genus. This project will combine genetics, genomics and epigenomics and will make extensive use of knowledge and tools that we have been established in my laboratory over the recent years, making it likely that the proposed objectives can be achieved. The results of this project will be of interest to a broad scientific community, including biologists with a strong interest in epigenetic mechanisms as well as ecologists interested to understand mechanisms of plant speciation.
Summary
Polyploidization is a widespread phenomenon among plants and is considered a major speciation mechanism. Before becoming evolutionary successful, newly formed polyploids often have to overcome fertility bottlenecks, because mating with partners of lower ploidy causes incompatibilities in the endosperm leading to the formation of mainly non-viable progeny. This reproductive barrier is called the triploid block. Nevertheless, the most frequent route to polyploid formation is probably through unreduced gametes, suggesting that the triploid block can be overcome. Recent work from our laboratory uncovered a genetic pathway leading to unreduced gamete formation at high frequency and revealed that the triploid block is mainly caused by malfunction of Polycomb group (PcG) proteins. PcG proteins are evolutionary conserved proteins, which assemble into multimeric complexes with chromatin-modifying enzymatic activity, implicating epigenetic regulatory mechanisms as an important element of speciation. Here, I propose to unravel the underlying molecular mechanism(s) of the triploid block by identifying the responsible genes causing endosperm failure upon deregulation and their mechanism of regulation in response to interploidy crosses. I also plan to investigate whether genes that contribute to the triploid block are as well responsible for establishing interspecies incompatibilities within the Arabidopsis genus. This project will combine genetics, genomics and epigenomics and will make extensive use of knowledge and tools that we have been established in my laboratory over the recent years, making it likely that the proposed objectives can be achieved. The results of this project will be of interest to a broad scientific community, including biologists with a strong interest in epigenetic mechanisms as well as ecologists interested to understand mechanisms of plant speciation.
Max ERC Funding
1 447 596 €
Duration
Start date: 2011-10-01, End date: 2016-09-30