High-throughput chemical screens for GPCR functional selectivity

Information

  • Research Project
  • 10155635
  • ApplicationId
    10155635
  • Core Project Number
    R43TR003567
  • Full Project Number
    1R43TR003567-01
  • Serial Number
    003567
  • FOA Number
    PA-19-272
  • Sub Project Id
  • Project Start Date
    4/1/2021 - 3 years ago
  • Project End Date
    9/30/2021 - 3 years ago
  • Program Officer Name
    CROUCHER, LEAH TOLOSA
  • Budget Start Date
    4/1/2021 - 3 years ago
  • Budget End Date
    9/30/2021 - 3 years ago
  • Fiscal Year
    2021
  • Support Year
    01
  • Suffix
  • Award Notice Date
    3/30/2021 - 3 years ago
Organizations

High-throughput chemical screens for GPCR functional selectivity

Project Summary G protein-coupled receptors (GPCRs) are the target of more than one-third of FDA-approved drugs, and often come in families that respond to similar classes of molecules. Any given GPCR can signal through multiple intracellular signalling pathways, some of which lead to desired therapeutic effects, and others of which are superfluous or deleterious to drug activity. For these reasons, we are constructing a platform to enable high-throughput screening for functionally selective agonists ? those that bind to the right receptors and trigger the right intracellular signalling pathways. Here, we use this system for the development of functionally selective and biased agonists of the human melanocortin receptor 4, a long-standing target for anti-obesity drug development. We achieve this in two aims: first, by engineering sets of cell lines for the multiplexed, sequencing-based analysis of signalling activity by MC4R and related receptors; and secondly, by constructing a high-throughput platform for microscale chemical synthesis of small molecules. Together, these tools will enable direct assessment of functional selectivity and ligand bias in a high-throughput format and create rich multidimensional structure-activity relationships on an unprecedented scale, accelerating the development of orally available pre-clinical lead molecules for the control of obesity. Aim 1: A high-throughput screening platform for GPCR functional selectivity: Here we will seek to apply Octant?s validated multiplexed transcriptional reporter technology to the melanocortin receptor family. Specifically, we will focus this technology onto MC1R, MC3R, MC4R, and MC5R receptors, creating a system to measure the response of each receptor on multiple intracellular signalling pathways. To do this, we design, synthesize, and characterize new signalling-pathway-specific promoter elements and use next generation RNA sequencing to measure these biosensors. Aim 2: Construction of a high-throughput chemical synthesis platform: We will use acoustic liquid handling robotics to build an automated system for single-step chemical synthesis. With this system, we will create libraries of small molecules in microscale formats by single-step synthesis (~1 nmol per reaction). We will focus on chemistries robust to the idiosyncracies of automation. This platform will enable exploration of structure-bias and structure- selectivity relationships across wide swaths of chemical space. Significance & Innovation: Control of the signalling bias at GPCRs is pharmacologically important, as oftentimes only certain intracellular signalling pathways are therapeutically relevant, while others may lead to side effects. Bias is often identified in later stages of drug development where alterations of lead compounds for improved bias may prove difficult or impossible. This also makes it difficult to understand post-facto why a particular ligand is biased in certain ways. Most primary screens of novel chemical matter still rely on single-target, single-signal systems. Our work will enable the use of ligand bias as a primary screening metric, and will enable the collection of GPCR ligand bias across very large sets of chemically related small molecules.

IC Name
NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES
  • Activity
    R43
  • Administering IC
    TR
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    316638
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    350
  • Ed Inst. Type
  • Funding ICs
    NCATS:316638\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    OCTANT, INC.
  • Organization Department
  • Organization DUNS
    037152825
  • Organization City
    EMERYVILLE
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    946082031
  • Organization District
    UNITED STATES