Project acronym EMERGE
Project Reconstructing the emergence of the Milky Way’s stellar population with Gaia, SDSS-V and JWST
Researcher (PI) Dan Maoz
Host Institution (HI) TEL AVIV UNIVERSITY
Call Details Advanced Grant (AdG), PE9, ERC-2018-ADG
Summary Understanding how the Milky Way arrived at its present state requires a large volume of precision measurements of our Galaxy’s current makeup, as well as an empirically based understanding of the main processes involved in the Galaxy’s evolution. Such data are now about to arrive in the flood of quality information from Gaia and SDSS-V. The demography of the stars and of the compact stellar remnants in our Galaxy, in terms of phase-space location, mass, age, metallicity, and multiplicity are data products that will come directly from these surveys. I propose to integrate this information into a comprehensive picture of the Milky Way’s present state. In parallel, I will build a Galactic chemical evolution model, with input parameters that are as empirically based as possible, that will reproduce and explain the observations. To get those input parameters, I will measure the rates of supernovae (SNe) in nearby galaxies (using data from past and ongoing surveys) and in high-redshift proto-clusters (by conducting a SN search with JWST), to bring into sharp focus the element yields of SNe and the distribution of delay times (the DTD) between star formation and SN explosion. These empirically determined SN metal-production parameters will be used to find the observationally based reconstruction of the Galaxy’s stellar formation history and chemical evolution that reproduces the observed present-day Milky Way stellar population. The population census of stellar multiplicity with Gaia+SDSS-V, and particularly of short-orbit compact-object binaries, will hark back to the rates and the element yields of the various types of SNe, revealing the connections between various progenitor systems, their explosions, and their rates. The plan, while ambitious, is feasible, thanks to the data from these truly game-changing observational projects. My team will perform all steps of the analysis and will combine the results to obtain the clearest picture of how our Galaxy came to be.
Summary
Understanding how the Milky Way arrived at its present state requires a large volume of precision measurements of our Galaxy’s current makeup, as well as an empirically based understanding of the main processes involved in the Galaxy’s evolution. Such data are now about to arrive in the flood of quality information from Gaia and SDSS-V. The demography of the stars and of the compact stellar remnants in our Galaxy, in terms of phase-space location, mass, age, metallicity, and multiplicity are data products that will come directly from these surveys. I propose to integrate this information into a comprehensive picture of the Milky Way’s present state. In parallel, I will build a Galactic chemical evolution model, with input parameters that are as empirically based as possible, that will reproduce and explain the observations. To get those input parameters, I will measure the rates of supernovae (SNe) in nearby galaxies (using data from past and ongoing surveys) and in high-redshift proto-clusters (by conducting a SN search with JWST), to bring into sharp focus the element yields of SNe and the distribution of delay times (the DTD) between star formation and SN explosion. These empirically determined SN metal-production parameters will be used to find the observationally based reconstruction of the Galaxy’s stellar formation history and chemical evolution that reproduces the observed present-day Milky Way stellar population. The population census of stellar multiplicity with Gaia+SDSS-V, and particularly of short-orbit compact-object binaries, will hark back to the rates and the element yields of the various types of SNe, revealing the connections between various progenitor systems, their explosions, and their rates. The plan, while ambitious, is feasible, thanks to the data from these truly game-changing observational projects. My team will perform all steps of the analysis and will combine the results to obtain the clearest picture of how our Galaxy came to be.
Max ERC Funding
1 859 375 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym SynProAtCell
Project Delivery and On-Demand Activation of Chemically Synthesized and Uniquely Modified Proteins in Living Cells
Researcher (PI) Ashraf BRIK
Host Institution (HI) TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
Call Details Advanced Grant (AdG), PE5, ERC-2018-ADG
Summary While advanced molecular biology approaches provide insight on the role of proteins in cellular processes, their ability to freely modify proteins and control their functions when desired is limited, hindering the achievement of a detailed understanding of the cellular functions of numerous proteins. At the same time, chemical synthesis of proteins allows for unlimited protein design, enabling the preparation of unique protein analogues that are otherwise difficult or impossible to obtain. However, effective methods to introduce these designed proteins into cells are for the most part limited to simple systems. To monitor proteins cellular functions and fates in real time, and in order to answer currently unanswerable fundamental questions about the cellular roles of proteins, the fields of protein synthesis and cellular protein manipulation must be bridged by significant advances in methods for protein delivery and real-time activation. Here, we propose to develop a general approach for enabling considerably more detailed in-cell study of uniquely modified proteins by preparing proteins having the following features: 1) traceless cell delivery unit(s), 2) an activation unit for on-demand activation of protein function in the cell, and 3) a fluorescence probe for monitoring the state and the fate of the protein.
We will adopt this approach to shed light on the processes of ubiquitination and deubiquitination, which are critical cellular signals for many biological processes. We will employ our approach to study 1) the effect of inhibition of deubiquitinases in cancer. 2) Examining effect of phosphorylation on proteasomal degradation and on ubiquitin chain elongation. 3) Examining effect of covalent attachment of a known ligase ligand to a target protein on its degradation Moreover, which could trigger the development of new methods to modify the desired protein in cell by selective chemistries and so rationally promote their degradation.
Summary
While advanced molecular biology approaches provide insight on the role of proteins in cellular processes, their ability to freely modify proteins and control their functions when desired is limited, hindering the achievement of a detailed understanding of the cellular functions of numerous proteins. At the same time, chemical synthesis of proteins allows for unlimited protein design, enabling the preparation of unique protein analogues that are otherwise difficult or impossible to obtain. However, effective methods to introduce these designed proteins into cells are for the most part limited to simple systems. To monitor proteins cellular functions and fates in real time, and in order to answer currently unanswerable fundamental questions about the cellular roles of proteins, the fields of protein synthesis and cellular protein manipulation must be bridged by significant advances in methods for protein delivery and real-time activation. Here, we propose to develop a general approach for enabling considerably more detailed in-cell study of uniquely modified proteins by preparing proteins having the following features: 1) traceless cell delivery unit(s), 2) an activation unit for on-demand activation of protein function in the cell, and 3) a fluorescence probe for monitoring the state and the fate of the protein.
We will adopt this approach to shed light on the processes of ubiquitination and deubiquitination, which are critical cellular signals for many biological processes. We will employ our approach to study 1) the effect of inhibition of deubiquitinases in cancer. 2) Examining effect of phosphorylation on proteasomal degradation and on ubiquitin chain elongation. 3) Examining effect of covalent attachment of a known ligase ligand to a target protein on its degradation Moreover, which could trigger the development of new methods to modify the desired protein in cell by selective chemistries and so rationally promote their degradation.
Max ERC Funding
2 500 000 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
