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Award Abstract # 1763272
NSF-Simons Center for Multiscale Cell Fate Research

NSF Org: DMS
Division Of Mathematical Sciences
Recipient: UNIVERSITY OF CALIFORNIA IRVINE
Initial Amendment Date: May 24, 2018
Latest Amendment Date: May 4, 2022
Award Number: 1763272
Award Instrument: Continuing Grant
Program Manager: Zhilan Feng
zfeng@nsf.gov
 (703)292-7523
DMS
 Division Of Mathematical Sciences
MPS
 Directorate for Mathematical and Physical Sciences
Start Date: July 1, 2018
End Date: June 30, 2025 (Estimated)
Total Intended Award Amount: $5,000,000.00
Total Awarded Amount to Date: $5,000,000.00
Funds Obligated to Date: FY 2018 = $2,750,000.00
FY 2019 = $1,050,000.00

FY 2020 = $400,000.00

FY 2021 = $411,946.00

FY 2022 = $388,054.00
History of Investigator:
  • Qing Nie (Principal Investigator)
    qnie@uci.edu
  • Arthur Lander (Co-Principal Investigator)
  • John Lowengrub (Co-Principal Investigator)
  • Xing Dai (Co-Principal Investigator)
  • Jun Allard (Co-Principal Investigator)
Recipient Sponsored Research Office: University of California-Irvine
160 ALDRICH HALL
IRVINE
CA  US  92697-0001
(949)824-7295
Sponsor Congressional District: 47
Primary Place of Performance: University of California-Irvine
540F Rowland Hall
Irvine
CA  US  92697-3875
Primary Place of Performance
Congressional District:
47
Unique Entity Identifier (UEI): MJC5FCYQTPE6
Parent UEI: MJC5FCYQTPE6
NSF Program(s): Genetic Mechanisms,
OFFICE OF MULTIDISCIPLINARY AC,
Cross-BIO Activities,
MATHEMATICAL SCIENCES RES INST,
Physiol Mechs & Biomechanics
Primary Program Source: 01001819DB NSF RESEARCH & RELATED ACTIVIT
01001920DB NSF RESEARCH & RELATED ACTIVIT

01002021DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 068Z, 7465
Program Element Code(s): 111200, 125300, 727500, 733300, 765800
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049, 47.074

ABSTRACT

The NSF-Simons Center for Multiscale Cell Fate Research at the University of California, Irvine will provide a stimulating and empowering intellectual and physical environment for innovative team research at the interface between mathematics and biology. A cell's fate -- differentiation into a specific biological cell type -- is determined by several interlinked factors: cell-intrinsic mechanisms, signals from the local environment outside the cell, and messages the cell receives from other cells. Despite unprecedented amounts of experimental data at single-cell resolution, how cell fate is determined remains not fully understood. Challenges to development of a theory arise from information crosstalk at multiple temporal and spatial scales, as well as from the need to mine, integrate, and model the new single-cell "big data" derived from experimental measurements. To address these challenges and to establish a founding paradigm for multiscale cell fate research, a team of mathematical scientists and biologists will develop novel mathematical, computational, and statistical tools to analyze cell fate through a multiscale lens. The Center will carry out a coherent program for community building, interdisciplinary training and workforce development, and diversity enhancement to expand the mathematics-biology interface and to promote the convergence of mathematical and biological sciences. The Center will produce cohorts of interconnected young researchers and will nationally seed the next generation's laboratories. The knowledge gained will create new multiscale mathematics for analyzing big data and modeling complex systems, with broader applications to regenerative medicine, embryonic development, and birth defects.

The NSF-Simons Center for Multiscale Cell Fate Research will establish new understanding of mechanisms and principles of cell fate control through investigation of emerging behavior of cells across scales. The study aims for transformative insight into cell fate, with a focus on three biological themes: cellular complexity and plasticity in skin, stochastic dynamics and migration of neural crest cells, and epigenetic control of stem cell specification. While each theme addresses different gaps in understanding of cell fate, they all emphasize emergent complexity arising from multiscale interactions, and they share several mathematical aspects. The Center aims to develop new mathematical methods driven by these specific cell-fate questions as well as broader biological applications. Data-driven and principle-based multiscale models of cell fate will guide experiments, with subsequent feedback to the modeling efforts. Three concerted efforts will be made to enhance overall capacity of research and training at the interface between mathematics and biology: 1) expanding mathematical sciences proximal to the biology interface, 2) connecting mathematical scientists across the spectrum, and 3) fostering mathematical scientists' ability to connect directly to experiments. A wide range of new and closely interconnected community-building and outreach programs, including community-initiated Interdisciplinary Opportunity Awards, a Convergence Accelerator Team program with national reach, a BioBridge Clinic on experimental techniques, and a Mathematical Experience through Learning Research program for high school students, will be developed and implemented to achieve the Center's ambitious goals.

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.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 177)
Gutierrez, Guadalupe and Sun, Peng and Han, Yingying and Dai, Xing "Defining mammary basal cell transcriptional states using single-cell RNA-sequencing" Scientific Reports , v.12 , 2022 https://doi.org/10.1038/s41598-022-08870-1 Citation Details
Allard, Jun and Doumic, Marie and Mogilner, Alex and Oelz, Dietmar "Bidirectional sliding of two parallel microtubules generated by multiple identical motors" Journal of Mathematical Biology , v.79 , 2019 10.1007/s00285-019-01369-w Citation Details
Almet, Axel A. and Cang, Zixuan and Jin, Suoqin and Nie, Qing "The landscape of cellcell communication through single-cell transcriptomics" Current Opinion in Systems Biology , v.26 , 2021 https://doi.org/10.1016/j.coisb.2021.03.007 Citation Details
Almet, Axel A. and Yuan, Hao and Annusver, Karl and Ramos, Raul and Liu, Yingzi and Wiedemann, Julie and Sorkin, Dara H. and Landรฉn, Ning Xu and Sonkoly, Enikรถ and Haniffa, Muzlifah and Nie, Qing and Lichtenberger, Beate M. and Luecken, Malte D. and Ander "A Roadmap for a Consensus Human Skin Cell Atlas and Single-Cell Data Standardization" Journal of Investigative Dermatology , v.143 , 2023 https://doi.org/10.1016/j.jid.2023.03.1679 Citation Details
Anjos, Pedro H. and Zhao, Meng and Lowengrub, John and Bao, Weizhu and Li, Shuwang "Controlling fingering instabilities in Hele-Shaw flows in the presence of wetting film effects" Physical Review E , v.103 , 2021 https://doi.org/10.1103/PhysRevE.103.063105 Citation Details
BAILEY, LORA D. and KOMAROVA, NATALIA L. "CELLULAR FEEDBACK NETWORKS AND THEIR RESILIENCE AGAINST MUTATIONS" Journal of Biological Systems , 2021 https://doi.org/10.1142/S0218339021400039 Citation Details
Bellomo, Nicola and Bingham, Richard and Chaplain, Mark A. and Dosi, Giovanni and Forni, Guido and Knopoff, Damian A. and Lowengrub, John and Twarock, Reidun and Virgillito, Maria Enrica "A multiscale model of virus pandemic: Heterogeneous interactive entities in a globally connected world" Mathematical Models and Methods in Applied Sciences , v.30 , 2020 https://doi.org/10.1142/S0218202520500323 Citation Details
Bergman, Daniel R. and Karikomi, Matthew K. and Yu, Min and Nie, Qing and MacLean, Adam L. "Modeling the effects of EMT-immune dynamics on carcinoma disease progression" Communications Biology , v.4 , 2021 https://doi.org/10.1038/s42003-021-02499-y Citation Details
Bocci, Federico and Jia, Dongya and Nie, Qing and Jolly, Mohit Kumar and Onuchic, Josรฉ "Theoretical and computational tools to model multistable gene regulatory networks" Reports on progress in physics , v.86 , 2023 https://doi.org/10.1088/1361-6633/acec88 Citation Details
Bocci, Federico and Zhou, Peijie and Nie, Qing "spliceJAC : transition genes and statespecific gene regulation from singlecell transcriptome data" Molecular Systems Biology , v.18 , 2022 https://doi.org/10.15252/msb.202211176 Citation Details
Bocci, Federico and Zhou, Peijie and Nie, Qing "Single-Cell RNA-Seq Analysis Reveals the Acquisition of Cancer Stem Cell Traits and Increase of CellCell Signaling during EMT Progression" Cancers , v.13 , 2021 https://doi.org/10.3390/cancers13225726 Citation Details
(Showing: 1 - 10 of 177)

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