2243257
Cooperative Agreement
Overview
Grant Description
Science and Technology Center for Quantitative Cell Biology - The Science and Technology Center for Quantitative Cell Biology (QCB) aims to revolutionize our understanding of cells via the creation of whole-cell models that faithfully capture all aspects of cell function and emergent behavior. QCB will leverage the newest advances in computing, artificial intelligence, and super-resolution imaging, as well as the state of the art -omics and cellular measurements, to develop models with novel details and predictive capabilities.
Ultimately, QCB aspires to unlock the secrets of living cells, to predict normal and abnormal cellular functions, and to design single cells and multicellular systems that provide solutions for human health, climate change, and agriculture, fueling the U.S. bioeconomy. QCB's education, broadening participation, and knowledge sharing programs will ensure that a diverse workforce is well-trained in quantitative cell biology.
The goal of this center is to bring together a community of experimentalists who will study key "modules" of the cell with a community of computational scientists who will build a unified model of the cell, comprising all fundamental processes, including gene expression, metabolism, and division, for both eukaryotic and bacterial cells under the influence of their environment. Unified models have the potential to make predictions of the time-dependent behavior for every modeled biochemical species - a quantity of data akin to performing hundreds of simultaneous experiments.
The time is ripe for attempting a synthesis of the comprehensive knowledge we have from molecular biology, chemistry, and physics into a complete model of the cell. On the technology side, the University of Illinois at Urbana-Champaign has a strong history of tracking single molecules and is a collaborative adopter of a facility that uses minimal photon fluxes (MINFLUX) microscopy to locate biomolecules to 2 nanometer spatial resolution and track them with 100 microsecond time resolution within the context of a living cell. MINFLUX represents a 10-fold improvement over all other existing single-molecule techniques, making the dynamical connection with structural electron microscopy and IR metabolomics techniques.
On the cell biology side, examples of "modules" of the cell are molecular motors as they transport cargo across the cell, formation of spliceosomes through assembly of RNA-protein transcriptional complexes within the nucleus, chromosome dynamics and interactions with nuclear condensates during gene expression, changes in organelle networks as they transition from healthy and to unhealthy states, and interactions of eukaryotic and bacterial cells and their organelle networks. These cellular dynamical processes studied by MINFLUX will be complemented by cryogenic electron microscopy (CEM) measurements of large functional intermediates/complexes and molecular dynamics and coarse-grained simulations to determine essential mechanistic states. Dynamical infrared microscopy will focus on the often-neglected small metabolites inside cells.
Regions of the entire cell captured by cryogenic electron tomography (CET) will serve as the basis for the ultrastructure in cell simulations, with resolutions ranging from 8-32 nanometers in space and 50-100 microsecond time steps. Cell simulations of the reaction-diffusion processes will integrate metabolic kinetics with the dynamics of genetic information processes obtained from MINFLUX measurements to create a unified model of cellular function, from the molecular level up to cell division.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Subawards are planned for this award.
Ultimately, QCB aspires to unlock the secrets of living cells, to predict normal and abnormal cellular functions, and to design single cells and multicellular systems that provide solutions for human health, climate change, and agriculture, fueling the U.S. bioeconomy. QCB's education, broadening participation, and knowledge sharing programs will ensure that a diverse workforce is well-trained in quantitative cell biology.
The goal of this center is to bring together a community of experimentalists who will study key "modules" of the cell with a community of computational scientists who will build a unified model of the cell, comprising all fundamental processes, including gene expression, metabolism, and division, for both eukaryotic and bacterial cells under the influence of their environment. Unified models have the potential to make predictions of the time-dependent behavior for every modeled biochemical species - a quantity of data akin to performing hundreds of simultaneous experiments.
The time is ripe for attempting a synthesis of the comprehensive knowledge we have from molecular biology, chemistry, and physics into a complete model of the cell. On the technology side, the University of Illinois at Urbana-Champaign has a strong history of tracking single molecules and is a collaborative adopter of a facility that uses minimal photon fluxes (MINFLUX) microscopy to locate biomolecules to 2 nanometer spatial resolution and track them with 100 microsecond time resolution within the context of a living cell. MINFLUX represents a 10-fold improvement over all other existing single-molecule techniques, making the dynamical connection with structural electron microscopy and IR metabolomics techniques.
On the cell biology side, examples of "modules" of the cell are molecular motors as they transport cargo across the cell, formation of spliceosomes through assembly of RNA-protein transcriptional complexes within the nucleus, chromosome dynamics and interactions with nuclear condensates during gene expression, changes in organelle networks as they transition from healthy and to unhealthy states, and interactions of eukaryotic and bacterial cells and their organelle networks. These cellular dynamical processes studied by MINFLUX will be complemented by cryogenic electron microscopy (CEM) measurements of large functional intermediates/complexes and molecular dynamics and coarse-grained simulations to determine essential mechanistic states. Dynamical infrared microscopy will focus on the often-neglected small metabolites inside cells.
Regions of the entire cell captured by cryogenic electron tomography (CET) will serve as the basis for the ultrastructure in cell simulations, with resolutions ranging from 8-32 nanometers in space and 50-100 microsecond time steps. Cell simulations of the reaction-diffusion processes will integrate metabolic kinetics with the dynamics of genetic information processes obtained from MINFLUX measurements to create a unified model of cellular function, from the molecular level up to cell division.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Subawards are planned for this award.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "SCIENCE AND TECHNOLOGY CENTERS: INTEGRATIVE PARTNERSHIPS", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF22521
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Urbana,
Illinois
61801-3620
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 190% from $5,966,562 to $17,300,011.
University Of Illinois was awarded
Quantitative Cell Biology: Modeling & Predictive Solutions
Cooperative Agreement 2243257
worth $17,300,011
from the Division of Biological Infrastructure in September 2023 with work to be completed primarily in Urbana Illinois United States.
The grant
has a duration of 5 years and
was awarded through assistance program 47.074 Biological Sciences.
The Cooperative Agreement was awarded through grant opportunity Science and Technology Centers: Integrative Partnerships.
Status
(Ongoing)
Last Modified 8/21/25
Period of Performance
9/15/23
Start Date
8/31/28
End Date
Funding Split
$17.3M
Federal Obligation
$0.0
Non-Federal Obligation
$17.3M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for 2243257
Transaction History
Modifications to 2243257
Additional Detail
Award ID FAIN
2243257
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
490808 DIV OF BIOLOGICAL INFRASTRUCTURE
Funding Office
490808 DIV OF BIOLOGICAL INFRASTRUCTURE
Awardee UEI
Y8CWNJRCNN91
Awardee CAGE
4B808
Performance District
IL-13
Senators
Richard Durbin
Tammy Duckworth
Tammy Duckworth
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| Research and Related Activities, National Science Foundation (049-0100) | General science and basic research | Grants, subsidies, and contributions (41.0) | $5,966,562 | 100% |
Modified: 8/21/25