A Rapid, Low-Cost Application of High-Resolution DNA Mapping for Cell Line Identification

Information

  • Research Project
  • 9621819
  • ApplicationId
    9621819
  • Core Project Number
    R43GM130216
  • Full Project Number
    1R43GM130216-01
  • Serial Number
    130216
  • FOA Number
    PA-16-186
  • Sub Project Id
  • Project Start Date
    9/1/2018 - 6 years ago
  • Project End Date
    2/28/2019 - 5 years ago
  • Program Officer Name
    PREUSCH, PETER
  • Budget Start Date
    9/1/2018 - 6 years ago
  • Budget End Date
    2/28/2019 - 5 years ago
  • Fiscal Year
    2018
  • Support Year
    01
  • Suffix
  • Award Notice Date
    8/7/2018 - 6 years ago
Organizations

A Rapid, Low-Cost Application of High-Resolution DNA Mapping for Cell Line Identification

The goal of this project is to develop a micro- and nanofluidic platform for the rapid, low-cost identification of cell lines that can be used directly in laboratories conducting cell line research. A cell suspension is introduced to a device where automated cell lysis, DNA extraction, and DNA cutting with a rare-cutting restriction endonuclease are performed. The resulting primary restriction fragments are then mapped using our high-resolution DNA mapping technology, which uses a second restriction endonuclease to generate an ordered map of smaller fragments that can be sized at a resolution of 100 bp. The contours of these individual maps, each one originating from a fragment generated by the first digestion, are sensitive to structural variants in the genome. This approach is called RFLP2 to signify the greater information content engendered by sequential, rather than parallel, dual enzymatic fragmentation. Cell lines will be differentiated from each other and from inter-species contaminants based on a unique fingerprint generated from tens to hundreds of these single-molecule maps. In this Phase I project, in-silico experiments will be used to determine the optimal enzyme combinations to use for the primary and secondary digestions to generate the greatest number of highly identifying maps? with a full consideration of real-world measurement errors. DNA extraction and digestion with the primary restriction endonuclease will also be optimized for subsequent integration with the secondary digestion and high-resolution mapping. We believe that the platform?s low cost and ease of use, coupled with researchers? ability to qualify cell lines at multiple checkpoints within their own laboratories, will encourage routine cell line identification, which is critically needed to improve the quality of and confidence in important basic and preclinical research.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R43
  • Administering IC
    GM
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    149894
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
  • Funding ICs
    NIGMS:149894\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    GENTURI, INC.
  • Organization Department
  • Organization DUNS
    080327655
  • Organization City
    WOBURN
  • Organization State
    MA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    018011191
  • Organization District
    UNITED STATES