Investigation of F508del CFTR unfolding and a search for stabilizing small molecules

Xin Meng1, Robert C Ford2

  • 1University of Manchester, School of Biological Sciences, Oxford Road, Manchester, M13 9PL, UK; The Francis Crick Institute, Cellular Degradation Systems Lab, 1 Midland Road, London, NW1 1AT, UK.

Insights

Researchers screened FDA-approved drugs and natural products to find compounds that stabilize the F508del CFTR protein, a key target for cystic fibrosis treatments. Several compounds were identified that significantly slow the protein's unfolding kinetics.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Drug Discovery

Background:

  • The F508del mutation in cystic fibrosis transmembrane conductance regulator (CFTR) protein causes instability and rapid degradation, affecting 90% of cystic fibrosis patients.
  • Restoring F508del CFTR stability is a major therapeutic goal for cystic fibrosis.
  • Previous work involved expressing and purifying the mutated protein at low temperatures.

Purpose of the Study:

  • To screen libraries of FDA-approved drugs and natural products for compounds that stabilize the purified F508del CFTR protein.
  • To investigate the unfolding kinetics of F508del CFTR at physiological temperatures.

Main Methods:

  • Purified F508del CFTR protein was used to screen compound libraries.
  • Protein unfolding kinetics were monitored by measuring the accessibility of cysteine residues to a fluorescent reporter at 37°C.
  • Bi-exponential unfolding kinetics were observed, with major and minor components.

Main Results:

  • Most screened compounds had no effect on F508del CFTR unfolding.
  • Several compounds were identified that significantly slowed the unfolding kinetics of the purified protein.
  • The observed unfolding kinetics correlate with the loss of channel activity in cellular models.

Conclusions:

  • The study identified compounds that can stabilize purified F508del CFTR protein.
  • These findings may aid in the rational design of CFTR-specific drugs using AI.
  • The results contribute to understanding stabilizing additives for membrane proteins.