Symmetry Breaking and Collective Cell Growth in Drosophila Oogenesis

Information

  • Research Project
  • 10285981
  • ApplicationId
    10285981
  • Core Project Number
    F31HD098835
  • Full Project Number
    5F31HD098835-02
  • Serial Number
    098835
  • FOA Number
    PA-19-195
  • Sub Project Id
  • Project Start Date
    9/1/2020 - 3 years ago
  • Project End Date
    8/31/2022 - a year ago
  • Program Officer Name
    TAYMANS, SUSAN
  • Budget Start Date
    9/1/2021 - 2 years ago
  • Budget End Date
    8/31/2022 - a year ago
  • Fiscal Year
    2021
  • Support Year
    02
  • Suffix
  • Award Notice Date
    8/24/2021 - 2 years ago
Organizations

Symmetry Breaking and Collective Cell Growth in Drosophila Oogenesis

PROJECT SUMMARY In many studied animal species, including mammals, the future oocyte develops within a cluster of cells that exchange molecules and organelles through a network of cytoplasmic bridges, which are formed by stabilized and reinforced cytokinetic furrows. While the formation and structure of this interesting class of multicellular systems has been extensively studied, their dynamics is poorly understood, leaving many critical questions about oocyte determination and development unanswered. I will investigate two of these questions in Drosophila, an experimental model that continues to provide valuable insights into general mechanisms of animal oogenesis. Using experimental, modeling, and computational approaches, I will investigate how one cell within the germline cell cluster is chosen to be the future oocyte and how the germline cell cluster comprising the oocyte and supporting nurse cells grows during development. Specifically, Aim 1 is designed to evaluate the differential contributions of the prepatterning and self-organizing mechanisms of oocyte determination. Focusing on the fusome, a membranous structure that is essential for intercellular communication in early oogenesis, and on a recently discovered positive feedback loop involving mRNA localization and translation, I will establish data- driven mathematical models for oocyte selection. In parallel, Aim 2 will investigate growth of the oocyte and supporting cells, using the germline cluster as a tractable system for exploring how the scaling laws established by studies of single cell growth are altered when cells grow together. In particular, I will focus on size regulation of nuclei and nucleoli, aiming to understand how their sizes adjust to rapidly increasing cell volumes within the germline cell cluster. The completion of these proposed studies, which are supported by strong preliminary results, including a machine learning approach for 3D image reconstructions and morphometric analysis, should provide new insights into some of the first steps of animal oogenesis.

IC Name
EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT
  • Activity
    F31
  • Administering IC
    HD
  • Application Type
    5
  • Direct Cost Amount
    39636
  • Indirect Cost Amount
  • Total Cost
    39636
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    865
  • Ed Inst. Type
    BIOMED ENGR/COL ENGR/ENGR STA
  • Funding ICs
    NICHD:39636\
  • Funding Mechanism
    TRAINING, INDIVIDUAL
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    PRINCETON UNIVERSITY
  • Organization Department
    ENGINEERING (ALL TYPES)
  • Organization DUNS
    002484665
  • Organization City
    PRINCETON
  • Organization State
    NJ
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    085430036
  • Organization District
    UNITED STATES