Development of a high-throughput screen to detect the effects of both pre- and post-biotransformed compounds for enhanced content drug discovery workflows

Information

  • Research Project
  • 9567997
  • ApplicationId
    9567997
  • Core Project Number
    R44GM112241
  • Full Project Number
    5R44GM112241-03
  • Serial Number
    112241
  • FOA Number
    PA-16-302
  • Sub Project Id
  • Project Start Date
    7/1/2015 - 8 years ago
  • Project End Date
    8/31/2019 - 4 years ago
  • Program Officer Name
    COLE, ALISON E
  • Budget Start Date
    9/1/2018 - 5 years ago
  • Budget End Date
    8/31/2019 - 4 years ago
  • Fiscal Year
    2018
  • Support Year
    03
  • Suffix
  • Award Notice Date
    8/21/2018 - 5 years ago
Organizations

Development of a high-throughput screen to detect the effects of both pre- and post-biotransformed compounds for enhanced content drug discovery workflows

Development of a high-throughput screen to detect the effects of both pre- and post- biotransformed compounds for enhanced content drug discovery workflows Project Summary This Small Business Innovation Research Phase II project will build upon our successful Phase I demonstration that substrate-free autobioluminescent signal generation can detect both the pre- and post-biotransformed metabolic impacts of therapeutic compounds from a single plate-based assay. Here, we will leverage this technology to develop a panel of industry-relevant autobioluminescent cell lines optimized for the detection of pre- and post-biotransformed compound metabolic impacts and the identification of specific detoxification pathway activation using modern three-dimensional (3D) microphysiological culture systems. These products and their underlying technology will specifically address the National Institute of General Medical Sciences (NIGMS) request for novel in vivo and in vitro methods for predicting the safety and toxicities of pharmacologic agents. By optimizing this technology to function within the industry-preferred 3D microphysiological format, we will address the critical need for new methods that can both identify compound toxicity and elucidate the mechanisms through which cells mitigate the compounds? effects. The autonomous nature of this technology will increase toxicological data acquisition while preserving the critical advantage of presenting physiologically- relevant data, and reducing the cost of performance by eliminating substrates, reducing complexity, limiting hands-on operation time, obviating the need for sample destruction, and reducing the potential for measurement error. Through the validation of this technology at a scale relevant to tier 1 drug discovery screening and its comparative analysis against the existing gold-standard ATP content assay, this revolutionary approach is poised to have a significant and immediate impact towards reducing the estimated $8B/year in unnecessary expenditures made by pharmaceutical companies during their development of the 48% of new compounds that fail at the Phase I clinical trial stage due to misidentification of toxicological effects during tier 1 screening. This is possible because, as demonstrated in our Phase I work, the use of our autobioluminescent technology overcomes the high economic and logistical costs of existing, traditionally-bioluminescent cell?s requisite chemical substrate addition, which must co-occur with each generation of signal, and the intensive hands-on time necessitated to scale cultures due to their requisite sample destruction concurrent with imaging. Similarly, our autobioluminescent technology also obviates the hurdles presented by fluorescent cell?s susceptibility to autofluorescent signal inhibition and their tendency to remain active during downturns in cellular metabolism or even after cell death. The technology and products developed in this effort will therefore be capable of significantly improving the throughput and effectiveness of microphysiological systems-based tier 1 compound screening to improve the efficiency and economics of new compound development, and ultimately, consumer safety. This will allow them to thrive in a microphysiological system market that is predicted to maintain a compound annual growth rate of 70% to exceed $1.3B globally by 2022.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R44
  • Administering IC
    GM
  • Application Type
    5
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    473892
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
  • Funding ICs
    NIGMS:473892\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    490 BIOTECH, INC.
  • Organization Department
  • Organization DUNS
    968832498
  • Organization City
    KNOXVILLE
  • Organization State
    TN
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    379960001
  • Organization District
    UNITED STATES