Grant: Alliance Grants
Toronto Metropolitan University
$33,500.00
Modeling mRNA localization as a driver of mitochondrial dysfunction
FY 2024-25
Summary
Living cells carry out many functions, enabled by the activity of molecular machines known as proteins. Protein populations vary between different cell regions, enabling specialized function of these regions. Proteins are encoded by DNA, which is transcribed to messenger RNA (mRNA) that is translated into proteins by ribosomes. Most mitochondrial proteins must be imported, and mRNA can become tethered to a specific mitochondria as a protein can begin mitochondrial import while it is still being made by the ribosome. While mitochondria are often depicted as bean-shaped objects, in many cells they typically form extended tubular networks that frequently dynamically rearrange their structure. Mitochondrial fragmentation into many small mitochondria is associated with diseases, with onset of mitochondrial dysfunction shown to occur after a sustained period of fragmentation. However, it is unknown how mitochondrial fragmentation leads to dysfunction. Recent work shows that the distribution of proteins between mitochondria becomes much more uneven for small fragmented mitochondria when proteins are delivered by mRNA tethered to specific mitochondria, providing a connection between mitochondrial fragmentation and function. This project will develop mathematical modeling to understand and explain how mitochondrial protein delivery characteristics combine with mitochondrial dynamics (which determine the extent of mitochondrial fragmentation) to control how uneven protein levels are between different mitochondria. Mitochondrial dysfunction is tied to neurodegenerative and metabolic diseases, as well as the aging process, and the results of this work may point towards therapeutic targets.
Program
Alliance Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
597460-2024
Name nom
Brown, Aidan AI
Department département
Physics
Organization id
43
Institution établissement
Toronto Metropolitan University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
33500
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
3114
Research subject group en
Physics
Research subject group fr
Physique
Research subject en
Biological and Medical Physics
Research subject fr
Physique biologique et médicale
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Modeling mRNA localization as a driver of mitochondrial dysfunction
Keywords
biological physics; cell biology; diffusion; mitochondria; mrna targeting; nonequilibrium physics; statistical physics; stochastic processes; theoretical physics
Application summary
Living cells carry out many functions, enabled by the activity of molecular machines known as proteins. Protein populations vary between different cell regions, enabling specialized function of these regions. Proteins are encoded by DNA, which is transcribed to messenger RNA (mRNA) that is translated into proteins by ribosomes. Most mitochondrial proteins must be imported, and mRNA can become tethered to a specific mitochondria as a protein can begin mitochondrial import while it is still being made by the ribosome. While mitochondria are often depicted as bean-shaped objects, in many cells they typically form extended tubular networks that frequently dynamically rearrange their structure. Mitochondrial fragmentation into many small mitochondria is associated with diseases, with onset of mitochondrial dysfunction shown to occur after a sustained period of fragmentation. However, it is unknown how mitochondrial fragmentation leads to dysfunction. Recent work shows that the distribution of proteins between mitochondria becomes much more uneven for small fragmented mitochondria when proteins are delivered by mRNA tethered to specific mitochondria, providing a connection between mitochondrial fragmentation and function. This project will develop mathematical modeling to understand and explain how mitochondrial protein delivery characteristics combine with mitochondrial dynamics (which determine the extent of mitochondrial fragmentation) to control how uneven protein levels are between different mitochondria. Mitochondrial dysfunction is tied to neurodegenerative and metabolic diseases, as well as the aging process, and the results of this work may point towards therapeutic targets.