Optimization of CFTR gating through the evolution of its extracellular loops

Márton A Simon1,2,3, László Csanády1,2,3

  • 1Department of Biochemistry, Semmelweis University , Budapest, Hungary.

Insights

Researchers explored differences in cystic fibrosis transmembrane conductance regulator (CFTR) channel gating between humans and zebrafish. They identified a novel hydrogen bond interaction in zebrafish CFTR that differs from the human mechanism, revealing evolutionary adaptations in CFTR gating.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Structural Biology

Background:

  • Cystic fibrosis (CF) is caused by mutations in the CFTR chloride channel.
  • CFTR gating is regulated by phosphorylation and ATP binding/hydrolysis, leading to bursting behavior.
  • Human CFTR (hCFTR) and zebrafish CFTR (zCFTR) exhibit distinct gating properties and structures.

Purpose of the Study:

  • To investigate the functional differences in CFTR gating mechanisms between humans and zebrafish.
  • To identify novel interactions stabilizing CFTR channel states.
  • To understand the evolutionary optimization of CFTR gating.

Main Methods:

  • Inside-out patch clamp recordings to determine gating parameters.
  • Thermodynamic mutant cycles to analyze interaction effects.
  • Site-directed mutagenesis to probe specific amino acid interactions.

Main Results:

  • The zR118H mutation did not affect zCFTR function, unlike the analogous hR117H mutation in humans.
  • A novel hydrogen bond between zS109 and zN120 was identified in phosphorylated ATP-bound zCFTR, specifically in the flickery closed state.
  • In hCFTR, mutations at S108 and R117 showed non-additive effects, indicating their interaction and cooperation with E1124 in stabilizing the open state.

Conclusions:

  • The study reveals distinct molecular mechanisms underlying CFTR gating in humans and zebrafish.
  • A previously unrecognized hydrogen bond network involving S109 and N120 plays a role in zCFTR gating.
  • These findings provide insights into the evolutionary divergence and optimization of CFTR function.

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