High-Throughput Single Cell Mechanomics

Information

  • Research Project
  • 10193908
  • ApplicationId
    10193908
  • Core Project Number
    R21GM141573
  • Full Project Number
    1R21GM141573-01
  • Serial Number
    141573
  • FOA Number
    PAR-19-254
  • Sub Project Id
  • Project Start Date
    9/1/2021 - 4 years ago
  • Project End Date
    8/31/2023 - 2 years ago
  • Program Officer Name
    FLICKER, PAULA F
  • Budget Start Date
    9/1/2021 - 4 years ago
  • Budget End Date
    8/31/2022 - 3 years ago
  • Fiscal Year
    2021
  • Support Year
    01
  • Suffix
  • Award Notice Date
    8/5/2021 - 4 years ago
Organizations

High-Throughput Single Cell Mechanomics

Summary. Phenotypic heterogeneity in cellular bulk populations can result in consequential differences in their response to physical as well as biochemical stimuli. To assess heterogeneity at single cell resolution, several methods have been developed, yet true predictability of cells? future behavior cannot be reliably determined. To address this challenge, the proposed work will develop a new technological approach to solve the bulk cell heterogeneity problem coined as ?single cell mechanomics?. This technology will record compression induced dynamic signaling response of single cells to predict and/or drive their future behavior. The technological innovation consists of a ?smart? microfluidic device with light actuated microtraps that can capture and compress single cells, and concurrently assess their signaling response, before releasing and capturing each individual cells for subsequent downstream monoclonal culture and analysis. To prove feasibility of this technology, human mesenchymal stromal cells (MSCs) will be used as a representative mechanoresponsive and highly heterogeneous cell type. Aim 1 will design and develop ?smart? microfluidic devices with light-actuated mictraps, while Aim 2 will establish a framework to predict and/or drive single cells? phenotypic outcome based on calcium oscillation dynamics of mechanically compressed single cells. Multivariate predictive analyses will be used to identify relationships between compressive stimuli, calcium signaling, and phenotypic outcome. New relationships derived from this work will be used to identify and sort target cell populations based on their future phenotypes. At present, there is no demonstration of such a technology in the literature. This aligns with the high-risk requirements of this R21 solicitation of having significant future impact.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R21
  • Administering IC
    GM
  • Application Type
    1
  • Direct Cost Amount
    154564
  • Indirect Cost Amount
    75000
  • Total Cost
    229564
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
    BIOMED ENGR/COL ENGR/ENGR STA
  • Funding ICs
    NIGMS:229564\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    CMT
  • Study Section Name
    Cellular and Molecular Technologies Study Section
  • Organization Name
    SYRACUSE UNIVERSITY
  • Organization Department
    ENGINEERING (ALL TYPES)
  • Organization DUNS
    002257350
  • Organization City
    SYRACUSE
  • Organization State
    NY
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    132441200
  • Organization District
    UNITED STATES