Biology subjects

Yu, H.

Publications and source records attributed to Yu, H..

At least 127 records · Page 7Linked to original sources

bioRxiv2025

Direct contact between iPSC-derived macrophages and hepatocytes drives reciprocal acquisition of Kupffer cell identity and hepatocyte maturation

Hepatic macrophages play central roles in liver homeostasis, injury, and immune-mediated hepatotoxicity through dynamic crosstalk with hepatocytes. While monocyte-derived macrophages have been widely used in vitro, they do not fully recapitulate the biology of liver-resident Kupffer cells (KCs), which are embryonically derived and maintained locally. Recent advances suggest that induced pluripotent stem cell (iPSC)-derived macrophages (iMacs) more closely resemble embryonic macrophages and may therefore serve as a relevant platform to model KC biology. Here, we developed a human iPSC-based co-culture system by combining iMacs with iPSC-derived hepatocytes (iHeps) derived from the same donor, enabling direct cell-cell interactions. We hypothesized that such interactions would both enhance hepatocyte maturation and promote KC-like differentiation of iMacs. Indeed, co-culture induced KC-like phenotypes in iMacs and improved functional maturation of iHeps, highlighting the importance of bidirectional cellular communication. Comparative analyses with iMacs cultured in hepatocyte-conditioned media revealed that direct contact provides additional signals beyond soluble factors in driving hepatic macrophage specialization. Functionally, this co-culture system demonstrated improved physiological relevance, particularly in modeling immune-mediated drug responses, as evidenced by enhanced cytokine production profiles upon exposure to a panel of test compounds. Overall, this study establishes a novel human iPSC-derived platform that captures key aspects of hepatocyte-macrophage crosstalk, providing a more physiologically relevant model to investigate liver biology and assess immune-mediated drug toxicity.

immunology↗

bioRxiv2025

Segmentation Matters: Recognizing the Cell Segmentation Challenge in Spatial Transcriptomics

Probe-based in situ hybridization spatial transcriptomics has emerged as a state-of-the-art for neuroscience research. Accurate segmentation of neurons and non-neuronal cells, a critical step for downstream analysis, remains a big challenge. Using human sensory ganglia neurons as an example, we systematically explore this problem. We evaluated multiple automatic segmentation approaches using quantitative performance metrics and downstream results. We show that careful parameter tuning is essential for achieving accurate segmentation; however, even with optimized parameters, different models still yield distinct classes of errors. To mitigate these errors, we propose a manual quality check, which can validate and refine automated segmentation results. As a future direction, integrating multi-modal imaging data with tailored neural networks may further improve segmentation accuracy. In summary, our results argue that each automated segmentation method has distinct strengths, weaknesses, and characteristic error patterns; and that a manual review is necessary.

neuroscience↗

bioRxiv2025

First Whole-Genome Chikungunya Virus Sequence Detected in Mosquitoes during the 2025 Foshan Outbreak: Evidence of Field Vector Infection and Transmission Potential in China

BackgroundSince July 2025, an outbreak of mosquito-borne chikungunya fever occurred in Foshan City, Guangdong Province, China. This was the second outbreak in China following the one that occurred in Dongguan City, Guangdong Province, in 2010. Moreover, the intensity of this outbreak was significantly greater than that of the previous one. Updates to 23 August, more than 10,000 human cases had been reported. Here, we present the first full genome sequence of the chikungunya virus (CHIKV) derived from field-trapped mosquitoes during the outbreak. MethodsAdult Aedes albopictus were BG-trap captured from residences and parklands in three hotspot towns with high density of confirmed human cases. Mosquitoes were morphologically identified and pooled by species, sex and environment types. RNA was extracted, screened by CHIKV RT-qPCR, then positive pools underwent sanger and whole-genome sequencing for complete sequences. Lineage and mutational profiles were inferred by maximum likelihood phylogenetic and comparison against human and mosquito genomes. The distribution of amino acid site mutations in different protein coding regions was also analyzed. ResultThrough 11 days of collection using 10 BG-traps, 2,803 mosquitoes were captured. 1569 (55.97%) female Ae. albopictus were divided into 77 pools and 9.09% (7/77) of the pools tested positive for CHIKV. The local Ae. albopictus minimum infection rate (MIR, per 1000 females) was 4.46, while the MIR for residences in Lecong Town was the highest at 9.17. The MIR for parklands was slight higher than for residences (4.60 vs. 4.30). All the 5 Ae. albopictus-derived complete CHIKV genome clustered within ECSA-Indian Ocean lineage genotype, closely related to human-derived genomes on 2025 Reunion Island. Amino-acid mutations E1-A226V/E2-L210Q were detected in the strains, which enhanced adaptability to Ae. albopictus and increased the transmission capacity. Novel mutation observed on E1 and E2 were totally consist to the patient-derived CHIKV in 2025 Reunion Island. ConclusionsIt was the first mosquito-derived CHIKV whole-genome during the 2025 Foshan outbreak, filling a critical gap between human case and entomological surveillance. Ae. albopictus was confirmed as the primary vector during the outbreak. The current outbreak CHIKV strain with particular amino-acid mutations had adapted to Ae. albopictus transmission. Compared to previous Chikungunya outbreaks over the past decade, the Foshan outbreak occurred earlier (early July), in a larger urban area (with a population of over 9.5 million), and with abundant breeding sites for the vector mosquito Ae. albopictus. However, the outbreak was quickly brought under control, with daily case numbers consistently decreasing, which is closely linked to the strong vector control measures implemented by the Chinese government in the early stages of the outbreak. Moreover, this event once again underscores the necessity of early monitoring of vector mosquitoes and the importance of implementing highly effective vector intervention measures as soon as possible after an outbreak occurs.

microbiology↗

bioRxiv2025

Dual inhibition of sEH and COX-2 Improved Cognition in Alzheimer's Disease via Enhanced Myogenic Response and Cerebral Artery Distensibility

Genetic studies have linked EPHX2 (encoding soluble epoxide hydrolase, sEH) and PTGS2 (encoding cyclooxygenase-2, COX-2) to Alzheimers disease (AD). Elevated levels of sEH and COX-2 found in AD patients and animals suggest their involvement in neurodegeneration, glial activation, vascular dysfunction, and inflammation. This study evaluated the effects of a new dual sEH/COX-2 inhibitor, PTUPB, on cerebrovascular function and cognition in TgF344-AD rats. The rats received oral PTUPB (2 mg/kg/day) for 25 days. Body weight, plasma glucose, and HbA1c levels remained stable between PTUPB- and vehicle-treated AD rats. PTUPB significantly improved recognition memory in AD rats, as detected by the Novel Object Recognition test. Pressure myography showed that PTUPB restored myogenic responses and increased the distensibility of the middle cerebral arteries (MCAs) in AD rats. Acute PTUPB (0.1 and 1 M) enhanced myogenic contraction in response to elevated perfusion pressure in AD MCAs, with minimal effects in wild-type vessels. Vehicle-treated AD rats displayed impaired functional hyperemia, whereas PTUPB (1 M) significantly restored this response. Transcriptomic analysis of cerebral vascular smooth muscle cells from AD rats indicated that PTUPB influences genes related to contractility, extracellular matrix remodeling, inflammation, and oxidative stress. These results provide new evidence that dual inhibition of sEH and COX-2 improves cognition in AD, likely by enhancing myogenic response and increasing cerebral artery distensibility. Our findings highlight the potential of PTUPB as a therapeutic approach for cerebrovascular dysfunction in AD.

neuroscience↗

bioRxiv2025

STARNet enables spatially resolved inference of gene regulatory networks from spatial multi-omics data

Biological tissues are composed of distinct microenvironments that spatially orchestrate gene expression and cell identity. However, the regulatory principles governing domain-specific cellular functions remain poorly understood due to the lack of effective methods for mapping gene regulatory networks (GRNs) in situ. To address this gap, we introduce STARNet, a representation learning approach that leverages heterogeneous hypergraph modeling of spatial transcriptomic and epigenomic data to resolve tissue-domain-specific regulatory interactions. By integrating graph neural networks with contrastive learning in a self-supervised framework, STARNet learns unified embeddings that preserve both multi-modal molecular features and anatomical spatial context, enabling accurate and domain-resolved GRN reconstruction within complex tissues. Benchmarking on both simulated and real datasets demonstrates that STARNet achieves state-of-the-art performance. We further demonstrate its broad applicability across diverse biological contexts, including neural development, genetic disease risk, and drug-induced developmental toxicity. In the mouse brain, it delineates region-specific regulatory networks and reconstructs spatiotemporal programs underlying neural stem cell differentiation. In human genetics, it provides a mechanistic link between genotypes and phenotypes by showing how genome-wide association study (GWAS) variants for complex diseases perturb hippocampus-specific GRNs. In developmental toxicology, STARNet reveals that drug-induced disruptions of GRNs in defined embryonic regions underlie tissue-specific vulnerability. Collectively, STARNet offers a powerful and versatile framework for resolving the spatial regulatory logic of complex tissues, providing multi-angle insights into tissue patterning, development, and disease mechanisms.

bioinformatics↗

bioRxiv2025

The growth and pathogenesis of Citrobacter rodentium is compromised by disrupted mucin sugar pathways that accumulate N-acetylglucosamine 6-phosphate

Many enteric bacterial pathogens, including the attaching/effacing (A/E) Escherichia coli strains, cause acute gastroenteritis in humans. Considering the highly competitive nature of the mammalian gastrointestinal (GI) tract, these pathogens must rely on specific metabolic adaptations to establish successful infections. We hypothesized that A/E pathogens exploit host-derived nutrients within GI mucus, including the monosaccharides N-acetylglucosamine (GlcNAc) and N-acetylneuraminic acid (NeuNAc) to fuel their pathogenesis. Using Citrobacter rodentium, a murine-specific A/E pathogen, we disrupted both GlcNAc and NeuNAc catabolism by deleting nagA, which encodes the GlcNAc-6-phosphate (GlcNAc-6P) deacetylase that converts GlcNAc-6P into glucosamine-6-phosphate (GlcN-6P). The {Delta}nagA mutant displayed dramatically impaired colonization in C57BL/6J mice and accumulated significant levels of GlcNAc-6P, unlike the {Delta}mana strain, a mutant lacking all GlcNAc and NeuNAc transporters, suggesting that the attenuation was due to sugar-phosphate stress rather than nutrient deprivation alone. Supplementation with glucosamine (GlcN) restored growth, indicating that dysregulated GlcN-6P synthesis, rather than GlcNAc-6P toxicity, underlies the defect. Furthermore, {Delta}nagA exhibited increased susceptibility to several cell wall-dependent stress conditions, in concert with compromised peptidoglycan biosynthesis due to reduced UDP-GlcNAc synthesis. These findings reveal a previously unrecognized metabolic vulnerability in C. rodentium and suggest that targeting sugar-phosphate stress responses may provide a new therapeutic strategy against GI bacterial pathogens. ImportanceEnteric pathogens like Citrobacter rodentium can exploit sugars, including N-acetylglucosamine and N-acetylneuraminic acid, derived from intestinal mucus to grow and infect their hosts. This study shows that disruption of mucin-derived sugar catabolism impairs the fitness of C. rodentium in infecting the murine intestine by causing the accumulation of a toxic intermediate of mucin sugar metabolism. Rather than impaired nutrient acquisition, the bacteria are impaired due to the buildup of N-acetylglucosamine-6-phosphate, which depletes substrates for peptidoglycan synthesis. This metabolic bottleneck weakens the bacterial cell wall, making the pathogen more sensitive to environmental stress. These findings identify a conserved metabolic stress response that could be targeted to combat enteric pathogen infections.

microbiology↗

bioRxiv2025

A multimodal approach for visualization and identification of electrophysiological cell types in vivo

Neurons of different types perform diverse computations and coordinate their activity during sensation, perception, and action. While electrophysiological recordings can measure the activity of many neurons simultaneously, identifying cell types during these experiments remains difficult. To identify cell types, we developed PhysMAP, a framework that weighs multiple electrophysiological modalities simultaneously to obtain interpretable multimodal representations. We apply PhysMAP to seven datasets and demonstrate that these multimodal representations are better aligned with known transcriptomically-defined cell types than any single modality alone. We then show that such alignment allows PhysMAP to better identify putative cell types in the absence of ground truth. We also demonstrate how annotated datasets can be used to infer multiple cell types simultaneously in unannotated datasets and show that the properties of inferred types are consistent with the known properties of these cell types. Finally, we provide a first-of-its-kind demonstration of how PhysMAP can help understand how multiple cell types interact to drive circuit dynamics. Collectively, these results demonstrate that multimodal representations from PhysMAP enable the study of multiple cell types simultaneously, thus providing insight into neural circuit dynamics.

neuroscience↗

bioRxiv2025

Retinal pigment epithelium-derived PD-L1 reprograms microglial cells and protects against retinal degeneration in mouse models of experimental AMD and genetic retinitis pigmentosa

Retinal degeneration is a leading cause of blindness and a significant health burden during aging worldwide. Because of its complex pathogenic mechanisms, however, effective interventions applicable to multiple retinal degenerations remain limited. Excessive microglia-mediated inflammation is a common pathological feature of different retinal degenerative diseases, and inhibiting these overactive inflammatory responses by reprogramming microglia may provide a therapeutic strategy with broad-spectrum potential. Here, we uncover a novel retinal pigment epithelium (RPE) homeostatic signal, PD-L1, that drives the reprogramming of activated microglial toward a retinal-protective phenotype. Using multiple analyses, including gene expression profiling bioinformatics, adeno-associated virus-mediated RPE-specific gene overexpression, pharmacological, and genetic manipulations, we show that RPE cells upregulate the expression of PD-L1 to modulate microglia for protection against retinal degeneration in an experimental dry AMD mouse model. Bioinformatics enrichment analysis of the high-expression gene signatures of subretinal microglia in AMD patients, combined with pharmacological blocking of NF-{kappa}B activity or using Nlrp3 knockout mice, show that PD-L1/PD-1 signaling suppresses NF-{kappa}B activation in microglia, thereby inhibiting NLRP3 inflammasome priming and attenuating microglia-mediated excessive inflammation. Furthermore, the overexpression of PD-L1 by the AAV8 virus exerts similar microglial reprogramming and retinal protective effects to alleviate retinal degeneration in a preclinical model of retinitis pigmentosa. These findings reveal that RPE-derived PD-L1 suppresses inflammatory reprogramming of subretinal microglia and mitigates retinal degeneration, highlighting a promising proof of concept for PD-L1 as a potential therapeutic target for the broad treatment of retinal degenerative diseases.

genetics↗

bioRxiv2025

The Deformability of the Mammalian Cell Nucleus is Determined by the Identity of the Lamin Rod Domain

Lamins are nuclear intermediate filament proteins with diverse functions, ranging from organizing chromatin and regulating gene expression to providing structural support to the nucleus. Mammalian cells express two types of lamins, A-type and B-type, which, despite their similar structure and biochemical properties, exhibit distinct differences in expression, interaction partners, and function. One major difference is that A-type lamins have a significantly larger effect on the mechanical properties of the nucleus, which are crucial for protecting the nucleus from cytoskeletal forces, enabling cell migration through confined spaces, and contributing to cellular mechanotransduction. The molecular mechanism underlying this difference has remained unresolved. Here, we applied custom-developed biophysical and proteomic assays to lamin-deficient cell lines engineered to express specific full-length lamin proteins, lamin truncations, or chimeras combining domains from A- and B-type lamins, to systematically determine their contributions to nuclear mechanics. We found that although all expressed lamins contribute to the biophysical properties of the nuclear interior and confer some mechanical stability to the nuclear envelope, which is sufficient to protect the nuclear envelope from small cell-intrinsic forces and ensure proper positioning of nuclear pores, A-type lamins endow cells with a unique ability to resist large forces on the nucleus. Surprisingly, this effect was conferred through the A-type lamin rod domain, rather than the head or tail domains, which diverge more substantially between A- and B-type lamins and play important roles in lamin network formation. Collectively, our work provides an improved understanding of the distinct functions of different lamins in mammalian cells and may also explain why mutations in the A-type lamin rod domain cause more severe muscle defects in mouse models than other mutations.

cell biology↗

bioRxiv2025

Cell-resolved high-dimensional imaging analysis, therapeutic modeling, and a Phase Ib clinical study validate BCL-2 as a target across heterogeneous CRPC subtypes

BCL-2 has been implicated in prostate cancer (PCa) progression and development of castration-resistant disease (CRPC). However, it remains unclear how the BCL-2- and AR-expressing PCa cell populations evolve across the PCa continuum, how AR molecularly regulates BCL-2 and whether BCL-2 represents a common therapeutic target in heterogeneous CRPC. Importantly, BCL-2 inhibitors have yet to be approved for treating PCa patients. Here we first show the selective induction of BCL-2 by AR pathway inhibitors (ARPIs) in both patient specimens and xenograft models. Vectra-based quantitative multiplex immunofluorescence (qmIF) and image mass cytometry (IMC) analyses with single-cell resolution reveal markedly expanded BCL-2+ (AR+ or AR-) PCa cell populations in CRPC. Mechanistically, AR represses BCL-2 transcription through genomic binding via several AR binding sites and ARPIs relieve this repression, leading to BCL-2 upregulation. Comprehensive therapeutic studies in cells, organoids and xenografts establish that castration-induced BCL-2 is not merely associated with resistance but represents a shared and actionable vulnerability as the BCL-2 inhibitor ABT-199 potently suppressed the growth of multiple subtypes of CRPC. A Phase Ib clinical trial (NCT03751436) combining enzalutamide and BCL-2 inhibitor venetoclax demonstrated reduced circulating tumor cells in responding patients. Together, our findings elucidate the AR+/-BCL-2+/- PCa cell subpopulation dynamics during PCa progression, reveal a direct mechanistic link between AR inhibition and BCL-2-mediated resistance, and provide a strong rationale for targeting BCL-2 from the outset to eliminate emerging resistant subpopulations, inhibit treatment-induced cellular heterogeneity and plasticity, and improve therapeutic outcomes in CRPC.

cancer biology↗

bioRxiv2025

Robust regulatory interplay of enhancers, facilitators, and promoters in a native chromatin context

Enhancers are gene-distal cis-regulatory elements that drive cell type-specific gene expression. While significant progress has been made in identifying enhancers and characterizing their epigenomic features, much less effort has been devoted to elucidating mechanistic interactions among clusters of functionally linked regulatory elements within their endogenous chromatin contexts. Here, we developed a novel recombinase-mediated genome rewriting platform and applied our divergent transcription architectural model to understand how a long-range human enhancer confers a remarkable 10,000-fold activation to its target gene, NMU, at its native locus. Our systematic dissection reveals transcription factor synergy at this enhancer and highlights the interplay between a divergently transcribed core enhancer unit and emerging new types of cis-regulatory elements--notably, intrinsically inactive facilitators that augment and buffer core enhancer activity, and an adjacent retroviral long terminal repeat promoter that represses enhancer activity. We discuss the broader implications of our focused study on enhancer mechanisms and regulation genome-wide.

genomics↗

bioRxiv2025

In vivo Calcium Imaging in the Near-Infrared II Window

Non-invasive deep-tissue calcium imaging of live mammals with high sensitivity and resolution is challenging owing to light scattering experienced by traditional calcium ion (Ca2+) indicators with excitation and emission wavelengths within 400-750 nm. Here, we report near-infrared II (NIR-II) calcium imaging beyond 1000 nm by exploring a natural protein derived from a bacterium (Thermochromatium tepidum) living in a calcium carbonate-rich environment. This highly photostable fluorescent protein enables NIR-II imaging of intracellular Ca2+ responses to stimulant drugs in cultured mammalian cells with sensitivity comparable to that of visible Ca2+ indicators. We achieve in vivo NIR-II imaging of Ca2+ transients in response to two different tumor treatment strategies in intact tumors with high sensitivity, resolution, and contrast, opening the possibility of non-invasive deep-tissue calcium imaging for assessing treatment efficacy longitudinally. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=105 SRC="FIGDIR/small/661443v2_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@149504eorg.highwire.dtl.DTLVardef@37722borg.highwire.dtl.DTLVardef@2878a7org.highwire.dtl.DTLVardef@1091d0c_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

bioRxiv2025

Sialic Acid Identity Modulates Host Tropism of Sialoglycan-binding Viridans Group Streptococci

Microbial interactions with multiple species may expand the range of potential hosts, supporting both pathogen reservoirs and zoonotic spillover. Viridans group streptococci interact with host cells by engaging protein-attached glycosylations capped with terminal sialic acids (sialoglycans). One potential origin for host tropism of these streptococci arises because humans exclusively synthesize the N-acetylneuraminic acid (Neu5Ac) form of sialic acid, while non-human mammals synthesize both Neu5Ac and a hydroxylated N-glycolylneuraminic acid (Neu5Gc). However, the link between binding preference for these sialic acids and preference for host has not been tested experimentally. Here, we investigate sialoglycan-binding by Neu5Ac/Neu5Gc cross-reactive Siglec-like binding regions (SLBRs) from two strains of streptococci, Streptococcus gordonii strain Challis (SLBRHsa) and Streptococcus sanguinis strain SK36 (SLBRSrpA). Structural and computational analyses of SLBRHsa identified molecular details for the binding of disaccharides capped in Neu5Ac or Neu5Gc. Engineering SLBRHsa and SLBRSrpA for narrow selectivity to synthetic Neu5Gc-terminated glycans shifted the binding preference from authentic human plasma receptors to plasma receptors from rat sources. However, host receptor preference did not fully recapitulate purified Neu5Ac/Neu5Gc-capped sialoglycan preference. These findings suggest that sialic acid identity modulates, but does not uniquely determine, host preference by these streptococci. This work refines our understanding of host specificity and challenges prevailing assumptions about the relative role of sialic acids in host tropism.

pathology↗

bioRxiv2025

Neural correlates of evidence accumulation in social-affective decision-making under perceptual ambiguity

Evidence accumulation models have been widely used to explain decision-making in sensory and cognitive domains, but how this process explains social-affective decision-making under perceptual ambiguity remains unclear. Here, we integrate computational modeling with multimodal neuroscience to investigate how perceptual ambiguity in emotion judgment influences decision dynamics. Participants viewed ambiguous stimuli--morphed images blending emotional expressions--and made binary categorizations. Using drift diffusion modeling (DDM), we show that drift rate, a core index of evidence accumulation, decreases as ambiguity increases. Scalp EEG data reveal that the late positive potential (LPP) tracks drift rate in both emotional and non-emotional decisions, but only when perceptual ambiguity is relevant to the task. Likewise, single-unite recordings from the dorsomedial prefrontal cortex (dmPFC) and amygdala neurons show that trial-by-trial firing rates in both regions encode drift rate, with opposite encoding patterns. fMRI-based connectivity analyses further reveal that the strength of amygdala-dmPFC coupling correlates with individual differences in the modulator effect of perceptual ambiguity on drift rate. Together, these findings identify a corticolimbic network that dynamically modulates evidence accumulation during social-affective decision-making under perceptual ambiguity. By linking computational parameters to neural activity across multiple modalities, this work advances our understanding of how the brain resolves emotionally ambiguous perceptual information. It provides a translational framework for studying emotion recognition and decision-making impairments in clinical populations.

neuroscience↗

bioRxiv2025

Ketone body driven lipid remodeling supports thermogenic adaptation to fasting

Metabolic adaptation to fasting may have conferred survival advantage to early humans and predicts weight gain caused by overnutrition in modern societies. Fasting suppresses brown adipose tissue (BAT) thermogenesis; however, it is unclear how BAT rewires cellular metabolism to balance between energy conservation and heat generation. Here, we report that BAT in mice under fasting and cold challenge consumed ketone bodies, specifically acetoacetate (AcAc). Ablating liver ketogenesis decreased, while enhancing hepatic AcAc output defended, body temperature in mice facing the dual challenge. Using stable isotope tracing in brown adipocytes in vitro combined with quantitative analysis of metabolic fluxes and lipidomics in BAT from genetic mouse models, we disentangled the two metabolic fates of AcAc - terminal oxidation in the mitochondria and lipid biosynthesis in the cytosol. Notably, AcAc-sourced carbon preferentially supported polyunsaturated fatty acid synthesis in BAT, linking to the positive impact of intermittent fasting on lipid profiles in both mice and humans. Therefore, ketone body utilization by thermogenic adipocytes contributes to metabolic resilience of mammals and can be targeted to optimize benefits of dietary regimens.

physiology↗

bioRxiv2025

A distinct class of eukaryotic demethylases safeguards the positional fidelity of N6-methyladenine (6mA)

DNA N6-methyladenine (6mA) has recently been rediscovered as an epigenetic mark in eukaryotes. Several demethylases responsible for 6mA removal have been identified in multicellular eukaryotes. However, despite the much higher abundance of 6mA in unicellular species, no such enzymes have been reported and the biological significance of 6mA removal in these organisms remain unclear. Here, we identify and functionally characterize DMT3 as a dedicated 6mA demethylase in unicellular eukaryotes. DMT3 targets both fully and hemi-methylated ApT dinucleotides on DNA. It is predominantly localized at transcription start sites (TSS), where it antagonizes the activity of the 6mA methyltransferase AMT1. Deletion or catalytic inactivation of DMT3 leads to genome-wide ectopic 6mA deposition specifically at TSS regions, driven by AMT1, and is accompanied by increased chromatin accessibility and elevated enrichment of transcription-associated histone marks. These epigenetic alterations disrupt gene expression, reduce osmotic stress resistance, and impair the initiation of sexual reproduction. Together, our findings uncover a critical 6mA demethylase in unicellular eukaryotes, and highlight the essential role of active 6mA removal in maintaining transcriptional and developmental integrity.

genetics↗

bioRxiv2025

Integrating structural homology with deep learning to achieve highly accurate protein-protein interface prediction for the human interactome

A significant portion of disease-causing mutations occur at protein-protein interfaces however, the number of structurally resolved multi-protein complexes is extremely small. Here we present a computational pipeline, PIONEER2, that integrates 3D structural similarity with geometric deep learning to accurately predict protein binding partner-specific interfacial residues. We compare the performance of PIONEER2 to that of AlphaFold3 and found, using a test set of PDB structures, that their performance is quite similar. However, about 20% of AlphaFold3 predictions for protein-protein complexes in the PDB have AlphaFold3 ranking scores below 0.5, which indicates an uncertain model. For these structures, PIONEER2 outperforms AlphaFold3 at discriminating interfacial from non-interfacial residues. Further, about half of the AlphaFold3 ranking scores on high confidence protein-protein interactions (PPIs) not associated with a PDB structure are below 0.5 indicating that PIONEER2 offers superior interface prediction for a large number of PPIs for which structures are not available. We created a comprehensive 3D structurally informed interactome encompassing all 352,124 experimentally detected binary human PPIs in the current literature and made PIONEER2 interface predictions for each. We experimentally validated these predictions by generating 1,866 mutations and testing their disruptive impact on 5,010 mutation-interaction pairs. PIONEER2-predicted interfaces are found to be comparable to PDB structures in their ability to predict disruptive mutations while AlphaFold3 performance is reduced. Similarly, PIONEER2-predicted interfaces outperform AlphaFold3 in accounting for the depletion of non-deleterious common population variants and the enrichment of disease-related mutations on protein surfaces. Overall, our results suggest that PIONEER2-predicted interfaces provide a valuable tool for studying disease etiology, advancing personalized medicine and for fundamental research. We further implemented PIONEER2 as a user-friendly web server (https://pioneer2.yulab.org) platform for users to explore our 3D interactome models and conduct genome-wide functional genomics studies.

bioinformatics↗

bioRxiv2025

Secondary structure transitions and dual PIP2 binding define cardiac KCNQ1-KCNE1 channel gating

The KCNQ1+KCNE1 potassium channel complex forms the slow delayed rectifier current (IKs) critical for cardiac repolarization. Loss-of-function variants in KCNQ1 and KCNE1 cause long QT syndrome types 1 and 5 (LQT1/LQT5), accounting for over one-third of clinical LQTS cases. Despite prior structural work on KCNQ1 and KCNQ1+KCNE3, the structural basis of KCNQ1+KCNE1 remains unresolved. Using cryo-EM and electrophysiology, we determined high-resolution (2.5-3.4 [A]) structures of human KCNQ1+KCNE1 in both closed and open states. KCNE1 occupies a pivotal position at the interface of three KCNQ1 subunits, inducing seven "helix-to-loop" transitions in KCNQ1 transmembrane segments. These structural rearrangements: 1) stabilize the closed pore and the conformation of the intermediate voltage-sensing domain, thereby determining channel gating, ion permeation, and single channel conductance; 2) enable a dual-PIP2 modulation mechanism, where one PIP2 occupies the canonical site, while the second PIP2 bridges the S4-S5 linker, KCNE1, and the adjacent S6, stabilizing channel opening; 3) create a fenestration capable of binding compounds specific for KCNQ1+KCNE1 (e.g., AC-1). Together, these findings reveal a previously unrecognized large-scale secondary structural transition during ion channel gating that fine-tunes IKs function and provides a foundation for targeted LQTS therapy development.

biophysics↗