Epithelial Cell Migration: Model selection for mechanistic model development

Information

  • Research Project
  • 10389279
  • ApplicationId
    10389279
  • Core Project Number
    R01GM126559
  • Full Project Number
    3R01GM126559-04S1
  • Serial Number
    126559
  • FOA Number
    PA-20-272
  • Sub Project Id
  • Project Start Date
    7/10/2017 - 6 years ago
  • Project End Date
    5/31/2022 - 2 years ago
  • Program Officer Name
    NIE, ZHONGZHEN
  • Budget Start Date
    6/1/2020 - 4 years ago
  • Budget End Date
    5/31/2022 - 2 years ago
  • Fiscal Year
    2021
  • Support Year
    04
  • Suffix
    S1
  • Award Notice Date
    8/31/2021 - 2 years ago

Epithelial Cell Migration: Model selection for mechanistic model development

Project Summary The collective migration of cells is a central biological process for multicellular organisms. Collective migration of epithelial sheets to close the gap during wound healing is an excellent illustration of this phenomenon. Inappropriate migratory movements can result in impaired wound healing, as seen in chronic wounds and diabetic foot ulcers. While substantial research has been devoted to its study, we still lack a foundational understanding of what drives groups of cells to move coherently as curative therapies are still not available for unhealable chronic wounds. Bortz, Liu, and Dukic groups are working together to develop a model selection-based approach to reveal driving mechanisms that control collective cell migration. Thus the long-term mathematical goal is to develop and apply a computationally efficient and rigorously well-posed model selection methodology for spatio-temporal biological phenomena modeled by differential equations. Toward this end, we will pursue a synergistic experimental, mathematical, and statistical approach to develop feasible candidate models, design and carry out validating experiments, and select the best models to infer the dominant driving mechanisms. While we made a lot of progress in developing mathematical frameworks for modeling various cell migratory behaviors, a bottleneck for unlocking the potentials of our new approach is the limited throughput of cell migration assays due to the manual experiment setup, which is tedious and time-consuming. Moreover, pipetting by hand is error-prone and induces avoidable variability between experiments. ASSIST PLUS from Integra Biosciences is designed for semi-automated liquid handling for cell culture studies and drug treatments. Acquisition of this robotic system will enable us to conduct numerous experiments in a more robustly and accelerate our research project.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R01
  • Administering IC
    GM
  • Application Type
    3
  • Direct Cost Amount
    49240
  • Indirect Cost Amount
    0
  • Total Cost
    49240
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
    SCHOOLS OF ARTS AND SCIENCES
  • Funding ICs
    NIGMS:49240\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
  • Study Section Name
  • Organization Name
    UNIVERSITY OF COLORADO
  • Organization Department
    BIOSTATISTICS & OTHER MATH SCI
  • Organization DUNS
    007431505
  • Organization City
    Boulder
  • Organization State
    CO
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    803031058
  • Organization District
    UNITED STATES