Grant: Discovery Grants Program - Individual
Université d'Ottawa
$19,000.00
The Influence of Multi-Scale Dynamics on Physical and Behavioral Cellular Patterns
FY 2023-24
Summary
Physical, observable patterns and repeated patterns of behavior are vital for cellular function. Such patterns occur at scales ranging from the intracellular to the tissue level. Disruption or misuse of these patterns can have devastating consequences for human health as it can lead to amyotrophic lateral sclerosis (ALS), Alzheimer's, or metastatic cancer. The overarching aim of my research program is to leverage novel mathematical modeling, numerical simulations, sensitivity analysis, and an interdisciplinary approach to investigate how vitally important small- and large-scale interactions are for maintaining cellular patterns and function. In particular, I will examine the link between different scales in three unique biological settings. Liquid-liquid phase separation (LLPS) provides an excellent environment to mathematically study how the formation of membrane-less compartments alter the molecular dynamics that occur within the cellular environment. My work on the epithelial mesenchymal transition (EMT) will use an interdisciplinary approach to focus on how complicated single-molecule dynamics and intracellular signaling cascades are involved in changes to behavioral patterns, such as metastasis. While these two model systems are seemingly disparate, they actually provide the perfect environment to develop the novel mathematical tools and biological understanding necessary to explore multi-scale patterning dynamics in both embryogenesis and the tumor environment via the differential adhesion hypothesis (DAH). Proposed over 50 years ago, the DAH suggests that different cell populations de-mix from each other in a manner similar to liquid-like de-mixing to form new embryonic compartments. Research into LLPS will develop the mathematical tools necessary to understand how cells are rearranging themselves in the embryo while the study of intracellular dynamics with EMT will further the understanding of how transmembrane proteins that prevent cellular movement, such as E-cadherin, are affected during this liquid-like cellular movement. By coupling these novel mathematical approaches with biological experiments, my work exists at the cutting edge of biomathematics and provides a truly novel approach to understanding how multi-scale patterns emerge in the cellular environment and, potentially, how they are exploited by disease.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2022-03924
Name nom
Gasior, Kelsey
Department département
Department of Mathematics
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2022
Award amount
19000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
1205
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Mathematical sciences
Area of application fr
Sciences mathématiques
Research subject code
2960
Research subject group en
Applied mathematics
Research subject group fr
Mathematical modelling
Research subject en
Mathématiques appliquées
Research subject fr
Modélisation mathématique
Application title
The Influence of Multi-Scale Dynamics on Physical and Behavioral Cellular Patterns
Keyword
Cellular Dynamics; Differential Adhesion Hypothesis; Epithelial Mesenchymal Transition; Liquid-Liquid Phase Separation; Multi-scale Modeling; Ordinary Differential Equations; Partial Differential Equations; Patterns; Phase Field Modeling; Sensitivity Analysis
Application summary
Physical, observable patterns and repeated patterns of behavior are vital for cellular function. Such patterns occur at scales ranging from the intracellular to the tissue level. Disruption or misuse of these patterns can have devastating consequences for human health as it can lead to amyotrophic lateral sclerosis (ALS), Alzheimer's, or metastatic cancer. The overarching aim of my research program is to leverage novel mathematical modeling, numerical simulations, sensitivity analysis, and an interdisciplinary approach to investigate how vitally important small- and large-scale interactions are for maintaining cellular patterns and function. In particular, I will examine the link between different scales in three unique biological settings. Liquid-liquid phase separation (LLPS) provides an excellent environment to mathematically study how the formation of membrane-less compartments alter the molecular dynamics that occur within the cellular environment. My work on the epithelial mesenchymal transition (EMT) will use an interdisciplinary approach to focus on how complicated single-molecule dynamics and intracellular signaling cascades are involved in changes to behavioral patterns, such as metastasis. While these two model systems are seemingly disparate, they actually provide the perfect environment to develop the novel mathematical tools and biological understanding necessary to explore multi-scale patterning dynamics in both embryogenesis and the tumor environment via the differential adhesion hypothesis (DAH). Proposed over 50 years ago, the DAH suggests that different cell populations de-mix from each other in a manner similar to liquid-like de-mixing to form new embryonic compartments. Research into LLPS will develop the mathematical tools necessary to understand how cells are rearranging themselves in the embryo while the study of intracellular dynamics with EMT will further the understanding of how transmembrane proteins that prevent cellular movement, such as E-cadherin, are affected during this liquid-like cellular movement. By coupling these novel mathematical approaches with biological experiments, my work exists at the cutting edge of biomathematics and provides a truly novel approach to understanding how multi-scale patterns emerge in the cellular environment and, potentially, how they are exploited by disease.