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Selective Identification of Hedgehog Pathway Antagonists By Direct Analysis of Smoothened Ciliary Translocation

Supporting Files
File Language:
English


Details

  • Alternative Title:
    ACS Chem Biol
  • Personal Author:
  • Description:
    Hedgehog (Hh) signaling promotes tumorigenesis. The accumulation of the membrane protein Smoothened (Smo) within the primary cilium (PC) is a key event in Hh signal transduction, and many pharmacological inhibitors identified to date target Smo's actions. Smo ciliary translocation is inhibited by some pathway antagonists, while others promote ciliary accumulation, an outcome that can lead to a hypersensitive state on renewal of Hh signaling. To identify novel inhibitory compounds acting on the critical mechanistic transition of Smo accumulation, we established a high content screen to directly analyze Smo ciliary translocation. Screening thousands of compounds from annotated libraries of approved drugs and other agents, we identified several new classes of compounds that block Sonic hedgehog-driven Smo localization within the PC. Selective analysis was conducted on two classes of Smo antagonists. One of these, DY131, appears to inhibit Smo signaling through a common binding site shared by previously reported Smo agonists and antagonists. Antagonism by this class of compound is competed by high doses of Smo-binding agonists such as SAG and impaired by a mutation that generates a ligand-independent, oncogenic form of Smo (SmoM2). In contrast, a second antagonist of Smo accumulation within the PC, SMANT, was less sensitive to SAG-mediated competition and inhibited SmoM2 at concentrations similar to those that inhibit wild-type Smo. Our observations identify important differences among Hh antagonists and the potential for development of novel therapeutic approaches against mutant forms of Smo that are resistant to current therapeutic strategies.
  • Subjects:
  • Source:
    ACS Chem Biol. 7(6):1040-1048
  • Pubmed ID:
    22554036
  • Pubmed Central ID:
    PMC3905677
  • Document Type:
  • Funding:
  • Volume:
    7
  • Issue:
    6
  • Download URL:
  • File Type:
    Filetype[PDF - 2.09 MB]
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:614f0951ed636762980419d3d1de4155f6090fc040afe645c1cbbb6f6d8f09e6
File Language:
English
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