Systematic Profiling Reveals Propensity of Human Ion Channels for Liquid–Liquid Phase Separation

Liquid–liquid phase separation (LLPS), a fundamental biophysical process driven by multivalent weak interactions, regulates diverse cellular physiological functions. Ion channels are critical transmembrane protein complexes governing electrophysiological signaling, yet their phase separation characteristics remain largely uncharacterized. Here, we systematically assessed the phase-separation propensity of 140 human ion-channel proteins from the PhaSePred database, and 69 human ion channel proteins were predicted to have a high propensity for LLPS (prediction score ≥ 0.5). Based on the self-assembling phase-separating (PS-Self) and partner-dependent phase-separating (PS-Part) scores of the proteins, we classified ion channel proteins with a ratio (PS-Self/PS-Part) > 1 into the PS-Self group and those with a ratio < 1 into the PS-Part group. Ultimately, 37 proteins were predicted to tend toward PS-Self, and 32 to tend toward PS-Part. Moreover, PS-Self candidates exhibited higher hydropathy and pi–pi contact scores, whereas predicted PS-Part candidates showed higher IDR, LCR, and phosphorylation-associated scores. Experimental analyses identified intracellular regions of CaV1.2, CaV1.3, NaV1.5, and KCa2.2 that formed dynamic condensate-like assemblies when expressed in HeLa cells. Our findings elucidate the phase separation classification and core structural domains mediating LLPS in key ion channels and providing a molecular basis for understanding the pathophysiological roles of ion channel phase separation in cardiac and neurological disorders and may inform the development of phase-separation-targeted diagnostic and therapeutic strategies.

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Journal
International Journal of Molecular Sciences
Published
2026-09-25
DOI
https://doi.org/10.3390/ijms27198601
Primary Topic
RNA Research and Splicing
Type
article
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article

Systematic Profiling Reveals Propensity of Human Ion Channels for Liquid–Liquid Phase Separation

Longkai Yang, Jiamin Li, Ran Yu, Nnannan Wang et al.
International Journal of Molecular Sciences
RNA Research and Splicing
article

Systematic Profiling Reveals Propensity of Human Ion Channels for Liquid–Liquid Phase Separation

Longkai Yang, Jiamin Li, Ran Yu, Nnannan Wang, Yijing Yao, Ximing Chen, Yun Dong, Yaqing Lu, Siyu Cui, Xin Liu
article en

Abstract

Liquid–liquid phase separation (LLPS), a fundamental biophysical process driven by multivalent weak interactions, regulates diverse cellular physiological functions. Ion channels are critical transmembrane protein complexes governing electrophysiological signaling, yet their phase separation characteristics remain largely uncharacterized. Here, we systematically assessed the phase-separation propensity of 140 human ion-channel proteins from the PhaSePred database, and 69 human ion channel proteins were predicted to have a high propensity for LLPS (prediction score ≥ 0.5). Based on the self-assembling phase-separating (PS-Self) and partner-dependent phase-separating (PS-Part) scores of the proteins, we classified ion channel proteins with a ratio (PS-Self/PS-Part) > 1 into the PS-Self group and those with a ratio < 1 into the PS-Part group. Ultimately, 37 proteins were predicted to tend toward PS-Self, and 32 to tend toward PS-Part. Moreover, PS-Self candidates exhibited higher hydropathy and pi–pi contact scores, whereas predicted PS-Part candidates showed higher IDR, LCR, and phosphorylation-associated scores. Experimental analyses identified intracellular regions of CaV1.2, CaV1.3, NaV1.5, and KCa2.2 that formed dynamic condensate-like assemblies when expressed in HeLa cells. Our findings elucidate the phase separation classification and core structural domains mediating LLPS in key ion channels and providing a molecular basis for understanding the pathophysiological roles of ion channel phase separation in cardiac and neurological disorders and may inform the development of phase-separation-targeted diagnostic and therapeutic strategies.

International Journal of Molecular SciencesVol. 27(19)
Harbin Medical University (CN)
Openalex Percentile: Top 19%
RNA Research and Splicing
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Systematic Profiling Reveals Propensity of Human Ion Channels for Liquid–Liquid Phase Separation — Longkai Yang, Jiamin Li, et al. · International Journal of Molecular Sciences (2026) | TGRS Research Map | TGRS