Biology subjects

Li, Y.

Publications and source records attributed to Li, Y..

At least 217 records · Page 12Linked to original sources

bioRxiv2026

An Integrated muti-omics cell atlas of the human trabecular meshwork and ciliary body

The trabecular meshwork (TM) and ciliary body (CB) regulate aqueous humor dynamics and intraocular pressure (IOP), and TM/Schlemms canal (SC) dysfunction underlies glaucoma. Here, we present a spatially resolved multi-omics atlas of human TM and CB, integrating snRNA-seq, scRNA-seq, and snATAC-seq from over one million cells and nuclei across 112 donors with Xenium spatial transcriptomics. We identified 9 major cell classes and 21 cell types, revealing heterogeneity, including undercharacterized fibroblast and epithelial subpopulations. Spatial mapping supported TM fibroblast zonation and CB epithelial organization. Regulatory analyses identified cell type-specific programs, including OTX/PAX networks in CB epithelium and SMAD3/TGF-{beta} signaling in fibroblasts. Integration with glaucoma loci showed enrichment of non-coding variants in regulatory elements associated with POAG and PACG. Age- and ancestry-associated remodeling revealed divergent fibroblast aging with increased PIEZO1, suggesting impaired outflow and elevated IOP. Together, this high-resolution atlas links cellular, regulatory, and genetic variation to anterior segment function and glaucoma susceptibility.

genomics↗

bioRxiv2026

Snake Venom Fluidic Properties and Design of Venom Mimics as Rheological Surrogates

Snake venom composition and its contribution to toxic effects has been heavily researched, but there is a comparative lack of information on venoms fluidic properties and their relationship with fang morphology during the envenomation process. Understanding how venom flows through a fang can shed light on bite site dynamics and potentially explain bite symptoms. In this article we first conduct a broad comparative test of the rheological properties of venom from thirteen snake species, including multiple viperid and elapid snake species, revealing a shear-thinning non-Newtonian flow behavior in all studied species. However, we have not observed strong phylogenetic signal in venom fluidic properties, suggesting that flow properties may vary independently of evolutionary relationships between snake species. Second, we demonstrate that snake venoms fluidic properties can be modeled by other inexpensive, safe, and abundant shear-thinning surrogate fluids. We found that aqueous solutions of bovine serum albumin protein and xanthan gum are useful venom mimics, matching the rheological behavior of venoms from the studied snake species across a range of relevant shear rates. We further evaluated the performance of these snake venom mimics in a simulated venom delivery system, showing good and robust mimetic control of the flow properties as a function of applied pressure. By elucidating the fluidic properties of snake venom and providing a non-toxic, scalable surrogate fluid model to be used in further studies, we provide the biomedical, toxicology, evolutionary biology communities with a tool to study envenomation physics in an inexpensive and safe fashion. We suggest it is possible to design species-specific venom mimics that facilitate research on the biomechanics and fluid dynamics of venom delivery via snake bites, and inform the design of bioinspired puncture and injection devices.

bioengineering↗

bioRxiv2026

SenoQuant: One-stop AI software for senescence marker analysis and prediction

Senescent cells accumulate with age and contribute to tissue dysfunction, yet their identification in tissues is challenging due to low abundance, heterogeneous phenotypes, and the lack of specific markers. Senescence-associated features span multiple subcellular compartments, including nuclear DNA damage foci, cytosolic protein changes, and perinuclear alterations, each requiring tailored detection strategies. To overcome these challenges, we developed SenoQuant (https://github.com/HaamsRee/senoquant), a versatile software designed for comprehensive, accurate, and unbiased spatial quantification and prediction of senescence markers across diverse tissue contexts. Utilizing AI models, SenoQuant enables precise nuclear and cytoplasmic segmentation and detection of senescence markers across low- and high-plex imaging modalities, applicable to cultured cells and tissue sections from mice and humans. The platform also supports custom AI models; for example, we built SenCeption, a proof-of-concept predictor of single-cell p21 status from DAPI-stained nuclei in human skin. Available as a free napari plugin, SenoQuant is widely accessible to researchers. By providing a unified approach to senescence analysis and prediction, SenoQuant opens new opportunities for exploring the complex biology of senescence and its impacts on aging and disease.

Cell Biology↗

bioRxiv2026

Tox21mer, A transformer foundation model for Tox21 high-throughput concentration-response curves data

The U.S. Tox21 collaboration has generated a large reference library of high-throughput concentration-response assays. Here we present Tox21mer, a 43.5-million-parameter transformer that encodes each Tox21 concentration-response curve together with assay metadata into a 768-dimensional representation. Tox21mer was pretrained on ~2.5 million curves from 102 assay protocols and 6,727 compounds using masked-response reconstruction as the primary objective, with low-weight auxiliary supervision on assay outcome and AC50. To evaluate the learned representation, we trained lightweight probes on frozen embeddings from concentration-response curves of held-out compounds. The representation supported a macro-F1 of 0.985 for three-class outcome prediction (agonist, antagonist, inactive), a binary F1 of 0.994 for active/inactive prediction, and an R2 of 0.87 for log10(AC50). The learned embeddings formed coherent groupings by curve-class category. A masked-only pretraining variant retained near-baseline probe performance, indicating that the representation is learned largely from the self-supervised objective rather than from auxiliary labels. Ablation analyses further showed that predictive performance depends mainly on curve-level response-value distributions conditioned on assay context, with limited reliance on detailed within-curve ordering. Tox21mer thus provides a reusable foundation representation for Tox21 concentration-response data that can support extrapolation to untested compounds through integration with chemical features or distillation into chemistry-only student models for large-scale external screening.

bioinformatics↗

bioRxiv2026

Persistent Post-Inflammatory Matrix Stiffening Defines a Premalignant Mechanical Niche in Ulcerative Colitis-Associated Neoplasia

Patients with long-standing ulcerative colitis (UC) remain at risk for colorectal neoplasia even after overt inflammatory activity improves, suggesting that repaired mucosa may retain residual tissue-level abnormalities. Whether extracellular matrix remodeling leaves a persistent mechanical cue that contributes to early neoplastic remodeling is unknown. Here we identify post-inflammatory matrix stiffening as a premalignant mechanical niche in UC-associated neoplasia. In human colonic biopsies, collagen remodeling and atomic-force-microscopy-based mucosal stiffness increased from non-UC controls to UC and UC-associated dysplasia. A stiffness-associated transcriptional program was also enriched in histologically non-dysplastic mucosa from patients with UC-associated neoplasia. In mouse models, colonic stiffness increased along the colitis-to-tumorigenesis axis and remained elevated during apparent recovery, when epithelial permeability, junctional protein loss, crypt proliferation and nuclear {beta}-catenin accumulation persisted despite reduced disease activity. Stiffness-controlled intestinal epithelial cultures showed that stiff substrates were sufficient to disrupt ZO-1 organization and enhance {beta}-catenin redistribution, particularly under TNF- stimulation. Pharmacological matrix normalization with {beta}-aminopropionitrile partially restored barrier organization and attenuated early epithelial remodeling in vivo. Single-cell profiling identified a stiffness-associated MMP7-positive/YAP-active epithelial state that was enriched in collagen-rich regions and reduced after matrix softening. Inhibition of YAP or MMP7 attenuated stiffness-associated junctional disruption and {beta}-catenin redistribution. These findings suggest that inflammatory recovery and mechanical recovery can be uncoupled, and that persistent mucosal stiffening provides a tissue-level mechanism by which chronically injured UC mucosa may remain biologically vulnerable to premalignant epithelial remodeling.

Cancer Biology↗

bioRxiv2026

Geometric Deep Learning Reveals Ligandable and Cryptic RNA Binding Small Molecule Pockets (SMARTPocket)

RNAs are important therapeutic targets, however identifying ligandable small-molecule binding pockets remains a major barrier to RNA-targeted drug discovery. Here, SMARTPocket, an atomic-level geometric deep learning framework for predicting RNA-small molecule binding pockets directly from three-dimensional structure is introduced. SMARTPocket represents RNA as full-atom point clouds and uses transfer learning from more than 110,000 protein binding interface structures to overcome the limited number of experimentally elucidated RNA-ligand complexes. Across four established single-chain benchmarks and three broader curated benchmarks, SMARTPocket consistently outperforms existing RNA pocket predictors and general biomolecular modeling approaches. The model generalizes to apo RNA structures when conformational changes are modest, identifies cryptic ligandable pockets, and recapitulates experimentally validated binding sites in the SARS-CoV-2 frameshifting element and an RNA aptamer evolved to bind small molecules. SMARTPocket-guided docking further improves near-native RNA-ligand pose recovery and computational efficiency compared with blind docking. These results establish SMARTPocket as a generalizable framework for structure-based identification of ligandable RNA pockets and for accelerating discovery of RNA-targeted small molecules.

bioinformatics↗

bioRxiv2026

Multitrophic interaction networks mediate biodiversity effects on ecosystem multifunctionality

Biodiversity loss threatens the multifunctionality of ecosystems on which human well-being ultimately depends. Changes in multitrophic species interactions may be key to explaining the ecological consequences of biodiversity loss, but research explicitly linking species interactions and ecosystem multifunctionality remains rare. To assess interaction-mediated biodiversity effects and underlying mechanisms, characterizing the structure of species interaction networks is invaluable. Using comprehensive species interaction and ecosystem functioning data from a large-scale tree biodiversity experiment, we find consistent effects of the structure of species interaction networks on ecosystem multifunctionality across multiple types of antagonistic and mutualistic interactions. While positive effects of network size align with expected positive effects of multitrophic species diversity, positive effects of niche overlap among interacting species and negative effects of highly connected species (i.e. high linkage density) reveal additional, interaction-mediated drivers of multifunctionality. Specifically, the effects of niche overlap suggest benefits of functionally similar species, and the effects of linkage density underscore the importance of specialized interactions in promoting ecosystem multifunctionality. These findings emphasize that to effectively safeguard ecosystem service provisioning, ecosystem management and biodiversity conservation not only need to account for biodiversity changes at multiple trophic levels, but also explicitly for how species interact among each other.

ecology↗

bioRxiv2026

The Fas-FADD-caspase-8 axis is a cancer cell-intrinsic determinant of cytotoxic lymphocyte-mediated killing

Cytotoxic lymphocytes induce cancer cell death through death receptor-ligand interactions and the perforin-granzyme pathway. These pathways are generally thought to converge on the activation of executioner caspases to drive apoptosis. Here, we employed a reductionist approach to systematically disrupt key cell death mediators in a cytotoxic lymphocyte killing system to define their roles in determining cancer cell fate. We found that loss of executioner caspases conferred only limited resistance to cytotoxic lymphocyte-mediated killing. To identify cancer cell-intrinsic regulators that function beyond executioner caspases, we performed unbiased genome-wide CRISPR screens in executioner caspase-deficient cells. Unexpectedly, disruption of Fas or FADD--core components of the death receptor pathway-- conferred substantial resistance to cytotoxic lymphocyte-mediated killing even in the absence of executioner caspases. This resistance persisted following additional disruption of known downstream mediators of Fas-FADD-caspase-8 (CASP8) signaling. Together, these findings identify the Fas-FADD-CASP8 axis as a central cancer cell-intrinsic determinant of susceptibility to cytotoxic lymphocyte-mediated killing whose function is not fully explained by canonical apoptotic or non-apoptotic effector pathways. Our results further suggest that CASP8 engages additional downstream substrates or mechanisms to promote cytotoxic lymphocyte-induced cancer cell death.

immunology↗

bioRxiv2026

Simultaneous inhibition of PI3Kα and EZH1/2 suppresses PIK3CA helical domain mutated CRC by promoting IL15-mediated activation of NK cells

The PIK3CA gene encodes p110α, the catalytic subunit of phosphoinositide 3-kinase (PI3K), and is among the most frequently mutated oncogenes in multiple cancers, including breast and colorectal cancer (CRC) 1 . Two FDA-approved PI3Kα-specific inhibitors, Alpelisib and Inavolisib, are currently used in combination with fulvestrant to treat hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2–), PIK3CA-mutated breast cancer. However, extending PI3Kα-targeted therapy to PIK3CA-mutant CRC requires new and effective combination strategies. Most oncogenic PIK3CA/p110α mutations cluster in two hotspot regions: the helical domain and the kinase domain. Approximately half of all p110α mutations arise in the helical domain, with E545K being the most common recurrent alteration 1 . Our previous work demonstrated that helical-domain mutant p110α aberrantly interacts with insulin receptor substrate 1 (IRS1) while losing its interaction with the regulatory subunit p85β 2 . The disengaged p85β subsequently translocates to the nucleus and stabilizes EZH1/2 3 . We further showed that combining Alpelisib with the EZH1/2 inhibitor Tazemetostat induces regression of xenograft tumors harboring a helical-domain PIK3CA mutation 3 . Here, we report that the combination of Alpelisib and Tazemetostat additively upregulates interleukin-15 (IL15) expression in helical-domain mutant CRC, leading to activation of natural killer (NK) cells, which in turn contributes to robust CRC tumor suppression.

Cancer Biology↗

bioRxiv2026

Systemic interindividual epigenetic variants link periconceptional environment to human fetal development

At rare human genomic regions, DNA methylation states are established in the early embryo and maintained during cellular differentiation, yielding systemic (i.e. not tissue-specific) interindividual epigenetic variation. Previous screens for such correlated regions of systemic interindividual variation (CoRSIVs) were limited to White Americans. Here, we describe the first human CoRSIV screen including self-identified Black and White Americans. We integrate deep whole-genome bisulfite sequencing data for three tissues from each of ten Black and ten White donors in the NIH Genotype-Tissue Expression program. This approach identifies twice as many CoRSIVs among Black than White Americans. Establishment of CoRSIV methylation is sensitive to periconceptional environmental exposures including assisted reproduction, seasonal variation, and famine. CoRSIV-associated genes are enriched for GWAS variants linked to cancer and neurodevelopment. Although only 15% of Black CoRSIVs overlap with those among White individuals, both sets are associated with the same subfamilies of transposable elements. Within multiple cell lines, ranked enrichments of transcription factor binding to Black and White CoRSIVs are exquisitely coordinated and related to genome organization, indicating that CoRSIV methylation states established in the early embryo play an important role in guiding subsequent cellular differentiation.

Molecular Biology↗

bioRxiv2026

Physics-Driven Zero-Shot Reconstruction of Isotropic 3D Fluorescence Microscopy under Undersampled Acquisition

Three-dimensional (3D) imaging represents the development of next generation of fluorescence microscopy. However, routine axial down-sampling makes isotropic resolution unrealistic. Here, we propose DeepUI, a physical zero-shot framework designed to achieve isotropic 3D fluorescence images from a low axial sampling rate. DeepUI fully leverages the intrinsic characteristics of 3D images through physics-guided degradation, which incorporates spatial-frequency joint learning to generate a scaled optical transfer function, combined with noise degradation and an up-sampling branch. Typically requiring just 5 minutes for training and 0.5 minutes for high-throughput and fast prediction, we demonstrate the superior performance of DeepUI to get isotropic results, and the exclusivity to axial down-sampling conditions, even in more challenging conditions, including defocused background, noise, and resolution blur.

bioinformatics↗

bioRxiv2026

Aberrant neuron-OPC synaptic transmission and deficient myelination define sex bias in major depressive disorder

Sex bias is a notable feature of major depressive disorder (MDD), yet its cellular and molecular origins remain unclear. We integrated computational analyses of human patient data with histological and biochemical validation in animal models to uncover female-specific MDD pathways. We identified female-specific mechanisms involving oligodendroglial lineage cells, especially oligodendrocyte precursor cells (OPCs), as key signal receivers with unidirectional preference in interactome networks. The neurexin (NRXN) pathway emerged as the most perturbed in MDD, with greater disruption in females. Subclustering further identified committed OPCs (cOPCs) as a disease-associated oligodendroglial subpopulation characterized by high expression of synaptic genes; cOPCs were also enriched of MDD-related transcriptional signatures revealed by trajectory analysis. High-dimensional weighted gene co-expression network analysis identified GABRG3 as an MDD-specific hub gene in cOPCs. The GABRG3 was also involved in the NRXN synaptic assembly cascade. Using Gabrg3 conditional knockout mice, we validated findings in patients and demonstrated that conditional deletion of Gabrg3 in cOPCs recapitulates MDD-like phenotypes, highlighting impaired neuron-cOPC synaptic communication, abnormal myelination, and depression-like behaviors. Together, our work defines a sex-specific cellular and molecular pathobiology of MDD, bridges clinical discovery with preclinical context, and provides a translatable framework for precision medicine targeting fundamental sex differences.

neuroscience↗

bioRxiv2026

A biological spike-in enables cost-effective multi-species RNA-seq and reveals global transcriptional collapse under dark stress

RNA sequencing (RNA-seq) is the workhorse of plant functional genomics, but its per-sample cost limits the number of species, conditions and replicates that can be assayed, and its standard normalization assumes that most genes do not change and that total cellular RNA is roughly constant. Both assumptions fail when a treatment globally reprograms transcription. Here we address both problems at once. We pooled carefully weighed frozen tissue from three phylogenetically distant species, Arabidopsis thaliana (A), Brachypodium distachyon (B) and Oldenlandia corymbosa (O), into single RNA-seq libraries, applying a six-day dark stress to A and B while including unstressed O in every pool as an internal biological spike-in. Reads were mapped to a concatenated three-species coding-sequence index. Read assignment was essentially clean: every pure library was [≥]99.8 % correctly assigned and cross-species mis-mapping was [≤]0.2 %, establishing that pooling does not compromise species-level quantification. Because equal mass, not equal RNA, was pooled, the read share captured by the unchanging O reported the global RNA content of the stressed species directly: dark stress reduced total mRNA to [~]50-60 % of control in Arabidopsis and to only [~]25-37 % in Brachypodium, a magnitude difference invisible to conventional analysis. At the gene level, standard per-species analysis returned a balanced set of up- and down-regulated genes, whereas spike-in normalization revealed a response dominated by repression. Conventional pathway enrichment, measured against the bulk transcriptome, likewise failed to register the global shift. Multi-species multiplexing with a biological spike-in is therefore a cheap, quantitatively faithful strategy for stress transcriptomics.

Plant Biology↗

bioRxiv2026

RepGene: Toward a Unified Gene Representation Space Robust to Missing Biological Views

This study evaluates how multi-view gene representations should be compared under a matched contract. Each of 18,460 genes is described by five aligned views: DNA sequence-derived features (D), RNA sequence-derived features (R), protein language-model embeddings (P), curated text knowledge (K), and single-cell expression (X). The contract fixes the gene universe, the 256-D output, label-free outer-training-only fitting, one random-forest probe, and task-equal Macro-F1 over nine registered binary tasks, and varies only the fusion operator across four protocol-defined input states: Core (DNA+RNA+protein), Core+K, Core+X, and Core+K+X. Under these states, the top-scoring operator changes with the available view combination and all task-bootstrap intervals overlap, establishing a condition-dependent rather than universal ranking pattern. An independently configured external RF track provides a separate check of the numerical range, while a gene-to-cell boundary diagnostic shows that gene-level differences attenuate toward a dimension-matched random control under expression-weighted aggregation, as predicted by a dilution identity. Historical log-derived multiplicative-interaction screening is retained only as magnitude-only supplementary evidence because fold-level records are unavailable. The contribution is therefore the matched contract and its audit trail: an evidence-graded protocol for turning fusion claims into comparable, condition-bounded measurements.

bioinformatics↗

bioRxiv2026

Biological meaning in protein embedding space is resolution-dependent

Protein language model embeddings are increasingly used to organise biological sequences, yet how biological meaning is encoded within embedding neighbourhoods remains poorly understood. Using two independent hierarchical enzyme systems, carbohydrate-active enzymes and peptidases, we investigated how biological interpretation changes across embedding organisations aligned to different levels of biological hierarchy. Different embedding organisations give rise to distinct neighbourhood semantics. When aligned to membership-boundary resolution, embeddings robustly separated artefacts and unrelated proteins from members of the target category. However, embeddings aligned to functional-grouping resolution maintained compositional neighbourhood structure for multi-domain proteins spanning more than one functional or catalytic group. Finally, embeddings aligned to local-family resolution recovered compact family-like neighbourhoods, including families withheld from training, while weakening broader membership-boundary and functional-grouping relationships. Moreover, embeddings optimised toward the same level of biological organisation retain different biological relationships depending on optimisation trajectory employed. Together, our results show that proximity in protein embedding space has no fixed biological interpretation. Instead, biological meaning emerges across embedding resolutions through selective preservation of different forms of biological organisation.

bioinformatics↗

bioRxiv2026

Circadian clock gates retinal regeneration by orchestrating Cxcl12-dependent immune coordination

The circadian clock orchestrates tissue homeostasis and repair, yet its role in central nervous system (CNS) regeneration remains largely unexplored. Here, we identify the circadian clock as an essential regulator of adult zebrafish retinal regeneration, a CNS model. Retinal injuries induced at distinct circadian times elicit differential Muller glia (MG) reprogramming and progenitor proliferation, both of which exhibit robust diurnal fluctuations. Disrupting circadian rhythms--via constant darkness (DD) or day-night reversal (DL)--suppresses MG reprogramming, MG-derived progenitor cell (MGPC) formation and neuronal regeneration, concomitant with dampened retinal immune responses. Notably, intravitreal immune stimulation restores MGPC numbers in the retina under DD conditions, linking immune activation to circadian-regulated regeneration. Single-cell RNA-seq reveals that DD disrupts MG reprogramming trajectories while inducing unfolded protein response (UPR) and suppressing ATP/protein synthesis. Moreover, clock disruption alters microglia heterogeneity, and cell-cell communication analysis identifies the Cxcl12-Cxcr4 signaling as a key chemotactic axis between MG/endothelial cell and immune populations. Mechanistically, Bmal1b directly binds E-box motifs in the cxcl12a/12b promoters, driving their rhythmic transcription to orchestrate the immune response after injury. Importantly, exogenous Cxcl12a partially restores both immune and regenerative responses in clock-disrupted retinas, establishing the Cxcl12-Cxcr4 axis as a circadian-immune checkpoint for retinal repair. Collectively, our findings reveal a novel paradigm in which the circadian clock gates CNS regeneration through Cxcl12-mediated immune coordination, offering potential therapeutic insights for CNS repair in mammals.

neuroscience↗

bioRxiv2026

AI-enabled discovery of small molecules targeting complementary pathways for hair follicle rejuvenation

Hair thinning arises from multi-faceted dysfunction within the hair follicle, driven by both intrinsic cellular pathways and pathways responding to extrinsic hormonal and microenvironmental cues. Here, we present an AI-enabled discovery framework to discover small molecules that promote hair follicle rejuvenation. This framework integrates graph neural networks trained on phenotypic screening data with structure-based virtual screening to prioritize compounds that modulate complementary biological pathways. Through AI-enabled screening, hit-to-lead optimization, and medicinal chemistry, we identified four compounds that increase follicle dermal papilla cell viability, stabilize hypoxia signaling by inhibiting prolyl hydroxylase domain protein 2 (PHD2), and suppress androgen-mediated follicular miniaturization by inhibiting 5-reductases (5-ARs). RNA sequencing analyses confirmed pathway engagement, and functional validation across primary cells and a 3D hair follicle organoid model demonstrated high activity and cellular specificity. The lead compounds were incorporated into a water-based formulation, where they demonstrated robust solubility and combinatorial efficacy to increase sprouting length of follicle organoids. These results establish an AI-enabled platform for discovering multi-pathway modulators of hair follicle rejuvenation.

bioengineering↗

bioRxiv2026

A Brugada-related KCNT1 mutation unveils its conductance-independent activation of store-operated Ca 2+ entry

BackgroundPotassium sodium-activated channel subfamily T member 1 (KCNT1) is a Na+-activated K+ channel, associated with epilepsy and cardiac diseases. Besides K+ conductance, KCNT1 is also involved in Ca2+ handling. KCNT1:R1106Q was identified in a Brugada Syndrome (BrS) patient; however, its pathological characteristics regarding either K+ or Ca2+ homeostasis remain to be fully elucidated. MethodsFura-2-loaded HEK293T cells were used for intracellular Ca2+ investigations, and whole-cell patch-clamp technique were used as complementary tests. Stromal interaction molecule 1 (STIM1) aggregation and endoplasmic reticulum (ER)-plasma membrane (PM) junctions in HeLa cells were visualized using spinning disc confocal microscope. Multielectrode array (MEA) assays were utilized to assess the field potential duration (FPD) and spontaneous beating rate of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). ResultsKCNT1 overexpression increased SOCE, which was further upregulated by the KCNT1R1106Q mutant. Furthermore, KCNT1 upregulated ER Ca2+ release and was found to localize at ER-PM junctions. The ER Ca2+ dynamics in KCNT1R1106-overexpressing cells was disrupted, while its SOCE remained intact. The KCNT1 cytoplasmic tail alone sufficiently modulated Ca2+ homeostasis. Given that KCNT1 possesses prominent charge-concentrated segments within its cytoplasmic domain, we substituted charged amino acids in either the 740-DDE-742 or 1114-RRLSR-1118 motifs with alanine; these substitutions abolished the KCNT1-mediated increases in ER Ca2+ release and ER-PM contact formation. MEA recordings of hiPSC-CMs revealed that the overexpression of KCNT1 shortened the FPD and accelerated the cardiomyocyte beating rate compared to baseline. However, the magnitude of beating rate acceleration induced by KCNT1R1106Q was significantly attenuated compared to that of KCNT1WT. ConclusionsOur findings indicate that, independent of KCNT1-mediated ion conductance, the charged motifs located at both ends of the KCNT1 cytoplasmic tail serve as structural anchors to facilitate ER-PM contact formation. This non-conducting role endows KCNT1 with a K+ current-independent mechanism to modulate intracellular Ca2+ homeostasis and cardiomyocyte physiology. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=133 SRC="FIGDIR/small/731813v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@104e234org.highwire.dtl.DTLVardef@19eceb3org.highwire.dtl.DTLVardef@1148512org.highwire.dtl.DTLVardef@2c8118_HPS_FORMAT_FIGEXP M_FIG C_FIG Novelty and SignificanceO_ST_ABSWhat is known?C_ST_ABSO_LIKCNT1 is a Na+-activated K+ channel, and mutations within this gene are often associated with epilepsy and epilepsy-related cardiac diseases. C_LIO_LIBesides functioning as a rectifier, KCNT1 is implicated in cellular Ca2+ handling, such as regulating Ca2+ oscillations in rat cortical neurons. C_LIO_LIKCNT1:R1106Q missense mutation has been identified in a patient with Brugada Syndrome (BrS); however, its pathophysiological characteristics and underlying mechanisms remain uncharacterized. C_LI What New Information Does This Article Contribute?O_LIKCNT1 overexpression upregulates both ER Ca2+ release and store-operated Ca2+ entry (SOCE). KCNT1R1106Q further increased SOCE intensity, however, its increase in ER Ca2+ release and [Ca2+]ER were attenuated. C_LIO_LIThe cytoplasmic tail of KCNT1 alone is suNicient to modulate Ca2+ closely mimicking the eNects of full-length KCNT1. C_LIO_LIThe charged clusters distributed along the KCNT1 cytoplasmic tail facilitate ER-PM contact. Alanine substitutions abolish the enhancements in ER Ca2+ release and ER-PM contact formation, while SOCE modulation remains intact. C_LIO_LIThe KCNT1 cytoplasmic tail alone shortens the field potential duration (FPD) and accelerates the spontaneous beating rate in hiPSC-CMs. However, the magnitude of beating rate acceleration induced by KCNT1R1106Q is significantly attenuated compared to KCNT1WT. C_LI This study uncovers a novel, conductance-independent role for the KCNT1 channel in structural organization, demonstrating that the charged motifs on its cytoplasmic tail serve as physical anchors facilitating ER-PM junctions. This structural mechanism regulates intracellular Ca2+ homeostasis and subsequently alters cardiomyocyte electrophysiology. By decoupling KCNT1s structural impact from its ion-conducting function, these findings provide new mechanistic insights into how specific KCNT1 variants, such as the BrS-associated KCNT1:R1106Q mutation, may contribute to arrhythmogenesis through imbalanced Ca2+ handling rather than classical K+ current alterations.

Molecular Biology↗