A new polymodal gating model of the proton-activated chloride channel

PLoS Biol. 2023 Sep 15;21(9):e3002309. doi: 10.1371/journal.pbio.3002309. eCollection 2023 Sep.

Abstract

The proton-activated chloride (PAC) channel plays critical roles in ischemic neuron death, but its activation mechanisms remain elusive. Here, we investigated the gating of PAC channels using its novel bifunctional modulator C77304. C77304 acted as a weak activator of the PAC channel, causing moderate activation by acting on its proton gating. However, at higher concentrations, C77304 acted as a weak inhibitor, suppressing channel activity. This dual function was achieved by interacting with 2 modulatory sites of the channel, each with different affinities and dependencies on the channel's state. Moreover, we discovered a protonation-independent voltage activation of the PAC channel that appears to operate through an ion-flux gating mechanism. Through scanning-mutagenesis and molecular dynamics simulation, we confirmed that E181, E257, and E261 in the human PAC channel serve as primary proton sensors, as their alanine mutations eliminated the channel's proton gating while sparing the voltage-dependent gating. This proton-sensing mechanism was conserved among orthologous PAC channels from different species. Collectively, our data unveils the polymodal gating and proton-sensing mechanisms in the PAC channel that may inspire potential drug development.

Grants and funding

This work was supported by the National Natural Science Foundation of China (31600669 and 32171271 to C. T., 32071262 and 31770832 to Z. L., and 22273034 to H. D.), the Science and Technology Innovation Program of Hunan Province (2020RC4023 to Z. L.), the Natural Science Foundation of Hunan Province (2018JJ3339 to C. T.), the Research Foundation of the Education Department of Hunan Province (18B015 and 22A0076 to C. T.), and the Fundamental Research Funds for the Central Universities (021514380018 to H. D.). Parts of the calculations were performed using computational resources on an IBM Blade cluster system from the High-performance Computing Center (HPCC) of Nanjing University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.