Tuning multivalency for optimized ligand presentation

Information

  • Research Project
  • 10234169
  • ApplicationId
    10234169
  • Core Project Number
    R35GM138296
  • Full Project Number
    5R35GM138296-02
  • Serial Number
    138296
  • FOA Number
    PAR-17-190
  • Sub Project Id
  • Project Start Date
    9/1/2020 - 4 years ago
  • Project End Date
    8/31/2025 - 6 months from now
  • Program Officer Name
    LYSTER, PETER
  • Budget Start Date
    9/1/2021 - 3 years ago
  • Budget End Date
    8/31/2022 - 2 years ago
  • Fiscal Year
    2021
  • Support Year
    02
  • Suffix
  • Award Notice Date
    8/16/2021 - 3 years ago

Tuning multivalency for optimized ligand presentation

Project Summary/Abstract Cells probe their biophysical environment by engaging multiple ligands on the extracellular matrix and in solution resulting in receptor oligomerization and clustering at the nanoscale. In the fields of biomaterials science and nanomedicine, there is a significant need to recreate these complex dynamics by presenting ligands from a synthetic substrate with optimal presentation. However, it is very challenging to develop sufficient design criteria at this nano-bio interface due in part to the complexity of the interactions as well as our insufficient ability to precisely control these macromolecular features. We seek to address this fundamental limitation by developing quantitative structure-activity relationship (QSAR) models that will allow us to accurately shape synthetic multivalent ligands with optimized biophysical dynamics for programmable cell signaling. Our approach significantly leverages a new combinatorial platform developed by the PI to precisely fine tune and study these challenging interactions. To do this, our research program has five major thrusts. Thrust 1: Leveraging our automated platform for multivalent ligand synthesis, we will study the spectrum of available hydrodynamic characteristics and learn how to control their structure with high precision. Thrust 2: We will use molecular dynamic (MD) simulations to help us define these macromolecular features then build QSAR models to extract design criteria. Thrust 3: Using surface plasmon resonance (SPR) and super-resolution microscopy, we will probe ligand-receptor interactions and characterize the macromolecular contributions towards avidity, specificity, cooperativity and super-selectivity. Thrust 4: The implications of these features on cell signaling and ligand directed cell behavior will be characterized. Thrust 5: We will apply this new knowledge to a variety of applications including regenerative medicine, nanomedicine and as probes to study signal transduction. These five major thrusts were developed to complement each other towards our long-term goals for developing highly bioactive and customizable ligands for programed cell behavior.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R35
  • Administering IC
    GM
  • Application Type
    5
  • Direct Cost Amount
    250000
  • Indirect Cost Amount
    132774
  • Total Cost
    382774
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
    BIOMED ENGR/COL ENGR/ENGR STA
  • Funding ICs
    NIGMS:382774\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    RUTGERS, THE STATE UNIV OF N.J.
  • Organization Department
    BIOMEDICAL ENGINEERING
  • Organization DUNS
    001912864
  • Organization City
    PISCATAWAY
  • Organization State
    NJ
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    088543925
  • Organization District
    UNITED STATES