Biology subjects

Lee, S.

Publications and source records attributed to Lee, S..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Cascaded Nano-ring Dialyzer for Continuous Regenerative Peritoneal Dialysis

End-stage kidney disease (ESKD) requires lifelong kidney replacement therapy, yet conventional hemodialysis and peritoneal dialysis remain limited by intermittent treatment, restricted mobility, and repeated dialysate exchange. Here, we developed a continuous regenerative peritoneal dialysis platform based on a nano-ring-assisted nanoelectrokinetic dialyzer for portable artificial kidney applications. We first identified key geometric and electrokinetic parameters governing the removal performance of nano-ring meshes, including mesh dimension, nano-ring coating thickness, the number of cascaded nano-rings, and the relative orientation between fluid flow and the applied electric field. We then developed a single nano-ring dialyzer operating at 1.33 mL/min and scaled the treatment capacity to approximately 10 mL min/min through parallel integration of multiple modules. In a canine model, the closed-loop system achieved approximately 10 % reduction in circulating uremic toxin levels during continuous treatment. We further improved the biocompatibility of the regenerated dialysate by integrating plate-type electrodes, activated carbon, bicarbonate buffering, and UV-C treatment. In an unanesthetized canine model, the improved system sustained continuous toxin removal for 4 h while major hepatic and inflammatory markers remained within recoverable ranges. These results demonstrate that cascaded nano-ring enables continuous dialysate regeneration with scalable throughput, reduced dependence on fresh dialysate, and in vivo control of uremic toxins, providing a technological foundation for portable or wearable regenerative peritoneal dialysis systems.

bioengineering↗

bioRxiv2026

SEME enables programmable transcript reconstruction through synthetic microexon incorporation

Precise correction of pathogenic mutations remains challenging for therapeutic applications because genome editing within protein-coding exons can generate unintended insertion-deletion byproducts that disrupt coding integrity and protein function. To address this limitation, we developed the Spliceable Editable Microexon Element (SEME), an intron-targeting platform that enables programmable microexon incorporation through endogenous splicing. In induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs), SEME corrected aberrant splicing caused by the dilated cardiomyopathy-associated FLNC c.2003A>G variant by restoring the five nucleotides missing from exon 12, thereby recovering filamin C expression. Together, these findings establish programmable microexon incorporation as a proof-of-concept strategy for correcting diverse disease-causing transcript defects.

bioengineering↗

bioRxiv2026

DNT: Diploid Genomic Foundation Model

Clinical interpretation of genetic variation depends on the diploid genotype, including zygosity, allele dosage and whether multiple variants occur in cis on the same homologue or in trans on different homologues. Most genomic language models process haploid sequences or combine independently encoded haplotypes downstream, so they do not directly represent the paired genotype in a single sequence. We introduce a reference-aligned diploid encoding for single-nucleotide variants (SNVs) and short insertions and deletions (indels), together with unphased and phase-retaining tokenizers that accept phased genotypes and convert them to single-sequence diploid representation. Using Nucleotide Transformer v3 backbones, we continue training 8-million- and 100-million-parameter models and evaluate an auxiliary Contrastive Phase Loss (CPL) designed to retain the phasing information of the variants in contextual representations. We evaluate on a novel compound-heterozygous benchmark containing 9,460 examples. Models whose inputs did not distinguish relative phase remained near chance, whereas our diploidic models improved discrimination with AUROC 0.649, compared to 0.506 for the vocabulary-adapted control. These findings establish a method for making diploid genotype information accessible to genomic language models, rather than a universal improvement in variant prediction; validation in naturally observed, accurately phased clinical cohorts remains necessary.

bioinformatics↗

bioRxiv2026

Global Sesame Germplasm Harbors Untapped Genetic Potential for Crop Improvement

Background Sesame (Sesamum indicum L.) is one of the oldest oilseed crops. Its seeds accumulate lignans and antioxidants that determine their nutritional value. Global demand for sesame is rising rapidly, but climate change increasingly threatens sesame yields and seed quality. Here, we analyzed a worldwide panel of 300 sesame accessions to explore the genetic basis of key adaptive and quality traits, specifically flowering time, seed lignan content, and seed antioxidant capacity. Results Whole-genome resequencing revealed previously unreported genetic diversity, expanding the resources available for sesame breeding. By integrating k-mer-based genome-wide association analysis with a graph-based sesame genome, we identified structural variants associated with differences in flowering time and lignan accumulation. A 9.4-kb deletion on chromosome 6 that disrupted SIN_1018434 (an ortholog of Arabidopsis PHOTOPERIOD-INDEPENDENT EARLY FLOWERING 1) and a 6.2-kb Copia-type retrotransposon insertion upstream of SIN_1004470 on chromosome 11 were associated with early flowering. The intact alleles at both loci were associated with delayed flowering and were predominant in low-latitude accessions. High seed lignan content was associated with non-synonymous mutations and copy number variants in glycosyl hydrolase genes on chromosome 6 and an 8.2-kb deletion spanning SIN_1019378 on chromosome 13. Association signals for seed antioxidant traits coincided with loci involved in abiotic stress responses and seed-coat pigmentation. Conclusions These findings highlight the importance of exploring diverse germplasm to uncover previously unrecognized adaptive and quality-associated genomic variation. The loci identified here provide molecular targets for developing climate-adapted cultivars with improved seed quality.

genomics↗

bioRxiv2026

Self-organized Regulation of Group Size and Number in Natural and Artificial Collectives

From animal societies to self-organizing multi-agent systems, collectives adapt their group structure to tasks and environments. However, how they determine appropriate group sizes and the number of subgroups to form remains unclear. We formulate the Group Size and Number Regulation Problem (GSNRP), which asks how individuals regulate group sizes and numbers using only local information. In a first step, we establish a graph-theoretic model demonstrating that simple following behavior suffices to form group structures that match theoretical expectations, but is insufficient for active regulation of group size and number. In a second step, we operationalize individual group-size preferences in a decentralized fission-fusion mechanism based on perceived group size. Through multi-agent simulations, we validate that this mechanism achieves stable convergence across three signaling regimes, from position-only sensing to continuous group-size communication. Using tracking data from wild white-nosed coatis (mammals in the raccoon family), we calibrate individual group-size preferences and show that the controller recovers selected group-size, subgroup-count, and transition statistics. This in-sample case study demonstrates descriptive consistency with natural fission-fusion dynamics without establishing the underlying behavioral mechanism. These results suggest that natural and engineered collectives may share local principles of perception, preference, and response for regulating group structure.

animal behavior and cognition↗

bioRxiv2026

Gradients of function between sensory drive and working memory in human frontal cortex

The coordination of sensory processing and working memory (WM) is fundamental to cognition. Spatial organization of sensory processing and WM is known to be broadly distributed across the cortex, but finer-scale organization at the interfaces between these functions remains understudied. Although the notion of sharp parcellations of cortex into distinct functional modules dominates the field, a growing body of works support graded changes in function and anatomy in some cortical zones. Based on this and potential advantages of gradient organizational structure in frontal cortex, we hypothesized that sensory-WM interfaces in the frontal cortex are gradient-like, not boundary-like. We examined twenty bilateral cortical regions that participate in visual/auditory WM tasks. In five frontal cortical regions, group-level WM activation overlapped with sensory drive, but was spatially shifted. We compared subject-level (N=20) boundary and gradient models of change in function. Strong individual-level evidence for sensory-WM gradients was observed in pre-supplementary motor area, ventral premotor cortex, and anterior insula in both modalities and in dorsal premotor cortex for visual WM. Conversely, dorsolateral pre-frontal cortex yielded mixed results, favored distinct WM and sensory regions in the left hemisphere, and gave some evidence for gradients in the right hemisphere. These results provide evidence that sensory and WM regions in frontal cortex are largely not distinct with sharp boundaries at their interfaces but instead bleed into each other to form local rostral-caudal sensory-WM gradients. We speculate these gradients may allow efficient interfacing between sensory and WM representations, and/or fine-grained, task-dependent shifting between bottom-up sensory and top-down influences.

neuroscience↗

bioRxiv2026

Balancing spatial resolution and proteome depth in LC-MS based spatialproteomics

Spatial proteomics aims to resolve protein composition within intact tissues, yet extraction-based liquid chromatography-mass spectrometry (LC-MS) workflows face an inherent trade-off: smaller sampling units increase spatial specificity, whereas larger sampling units provide greater proteome depth and robustness. As analytical sensitivity improves, sampling-unit size therefore becomes a key experimental design parameter. Current extraction-based LC-MS workflows typically rely on laser capture microdissection (LCM), where sample recovery and scalability can become limiting at low input. Spatially resolved laser-activated cell sorting (SLACS) offers an alternative tissue-isolation strategy based on single-pulse near-infrared laser activation. Here, we use SLACS to systematically examine the resolution-sensitivity trade-off across sampling units ranging from single-cell-equivalent to larger low-input tissue regions. Few-cell sampling retained substantial proteomic information relative to larger regions while increasing spatial specificity. Applied to the mouse somatosensory cortex, SLACS generated deep, layer-resolved proteomic profiles from regions corresponding to approximately 60 cells and preserved major layer-specific molecular patterns at inputs as low as approximately 6 cells. These results highlight sampling-unit size as an important experimental design parameter in extraction-based spatial proteomics and support few-cell sampling as a practical compromise between spatial specificity, proteome depth and robustness.

biochemistry↗

bioRxiv2026

Forecasting high pathogenicity avian influenza with a stochastic mechanistic model: performance and lessons for Australia

High pathogenicity avian influenza (HPAI) H5N1 clade 2.3.4.4b has caused a global panzootic with unprecedented impacts on wildlife and livestock, making evidence-based disease mitigation and outbreak response critical. In this paper, we describe a spatiotemporal mechanistic model of infectious disease dynamics developed for the HPAI Modelling Challenge and its implications for forecasting and policy in Australia. To emulate emergency response conditions, we adapted an existing model for rapid deployment rather than developing a bespoke model. We refined the model iteratively across the challenge to better analyse the provided outbreak data. Throughout the challenge, we accurately forecast temporal trends and local outbreak spread, but could not predict rarer, long-distance dispersal events. The challenge ended before HPAI H5N1 was first detected in Australia (June 2026), providing a critical opportunity to test our response modelling readiness for an incursion in wildlife and potential spillover into commercial poultry. Our experience identifies three key considerations for Australia's HPAI H5N1 preparedness: targeted enhancements to our model to improve forecast precision and enable scenario-based policy evaluation; the critical value of pre-existing modelling infrastructure for rapid emergency response; and sustained collaboration between research and policy institutions to align modelling capabilities with outbreak response requirements.

bioinformatics↗

bioRxiv2026

An ncBAF-ETS2 Chromatin-Remodelling Axis Drives Vascular Smooth Muscle Cell Osteogenic Reprogramming in Vascular Calcification

Introduction: Vascular calcification is a detrimental ageing-related pathology that is markedly accelerated in metabolic disorders. It is driven by osteogenic differentiation of vascular smooth muscle cells (VSMCs), however epigenetic regulatory pathways activated early in this transition remain poorly defined. Methods: An in vitro calcification model was developed using primary human aortic VSMCs cultured with or without mineral stress. Epigenetic changes were assessed using targeted PCR arrays and CUT&RUN sequencing. Key findings were validated in vivo using single-cell sequencing datasets from human large arteries and spatial transcriptomic analysis in atherosclerotic carotid plaques. Transcriptomic and CUT&RUN analyses identified gene targets altered by epigenetic remodelling, and molecular tools were applied to study effects on metabolism, inflammation, apoptosis, and calcification. Results: During early calcification in response to mineral stress, SWI/SNF chromatin remodelling complexes shift toward ncBAF enrichment in pre-osteogenic VSMCs. ncBAF complexes activated transcriptional programs involved in inflammation, apoptosis, and glycolysis-all hallmarks of calcifying VSMCs. The transcription factor ETS2 was identified as a novel component of ncBAF complexes. Disruption of ncBAF or ETS2 impaired osteogenic differentiation and calcification. Notably, ETS2 expression was regulated by ncBAF, forming a positive feedback loop that reinforced VSMC phenotypic switching. Co-activation of ETS2 and ncBAF and the resulting transcriptional shifts were confirmed in human arterial single-cell datasets, with osteogenic/inflammatory clusters showing NFkB and RUNX2 activation. Spatial transcriptomics further suggested that a macrophage-rich microenvironment may promote the differentiation of smooth muscle cells toward an overt osteogenic/inflammatory phenotype. Immunohistochemistry showed that ETS2 levels correlated with calcification severity in human vessels supporting the potential clinical relevance of ETS2. Conclusions: Our findings identify a novel epigenetic mechanism in vascular calcification, where ncBAF and ETS2 cooperate to drive VSMC phenotypic switching. This ncBAF-ETS2 axis represents a potential therapeutic target to modulate VSMC plasticity and intervene early in the progression of cardiovascular calcification.

cell biology↗

bioRxiv2026

Genomic variation associated with endosymbiont shuffling and areal growth in the endangered elkhorn coral, Acropora palmata

Biodiversity losses continue to outpace traditional management, underscoring the need to understand adaptive capacity and the potential for interventions to increase fitness under climate change. We undertook a genome-wide association study on 156 Acropora palmata genets to investigate the genomic basis of areal growth, endosymbiont association, and thermal tolerance. Seven peaks on chromosomes 1, 3 and 14 were associated with endosymbiont shuffling and two peaks on chromosome 4 were associated with areal growth. As variants were located in non-coding regions we incorporated additional data from an independent field-transplant experiment to investigate their relationship with patterns of gene expression. Intersection of these datasets implicated melanocortin-like receptor activity and Ran GTPase activating protein 1 in endosymbiont composition and surface area growth, respectively. Results indicate that growth and endosymbiont associations may represent more viable intervention targets than temperature tolerance and highlight the need to better understand the role of non-coding variation in basic biology and development of restoration interventions.

genomics↗

bioRxiv2026

Cell-Based Sensor for Extracellular DNA

Detection of molecules with cell-based sensors allows for conversion of binding events into gene expression outputs. Here, we present a cell-based sensor that can detect extracellular double-stranded DNA. This sensor is based on an engineered receptor which we call Luminescent Ultrasensitive Nucleic Acid Reporter, or LUNAR. LUNAR is based on a recently developed Programmable Antigen-gated G-protein-coupled Engineered Receptor (PAGER). PAGERs are a genetic fusion of an auto-inhibitory peptide, a protein-binding domain, and a modified kappa opioid receptor. PAGERs are gated by two binding events. First, a protein ligand displaces an intramolecular inhibitor, Arodyn, then a second ligand activates the receptor. By replacing the protein-binding domain with a DNA binding zinc finger protein (ZFP) we could detect extracellular DNA in a dose-dependent fashion. Here, we show that first-generation LUNAR constructs can detect both oligonucleotides and plasmid double-stranded DNA with nanomolar sensitivity in mammalian cells. Future work will focus on improving sensitivity, fold-change, and multiplexing capabilities for sequence-specific DNA detection.

synthetic biology↗

bioRxiv2026

A targeted bispecific TGFBR2 antagonist antibody demonstrates cell selectivity and enhanced potency on human fibroblasts

Beyond its critical roles in development and tissue homeostasis, TGF{beta} signaling promotes key aspects of cancer progression and is a primary driver of fibrosis. Although blocking TGF{beta} signaling has great therapeutic potential for cancer and fibrotic diseases such as idiopathic pulmonary fibrosis (IPF), preclinical and clinical studies revealed that non-specific alteration of the pathway can have severe adverse consequences; therefore, inhibiting TGF{beta} signaling in a cell-type specific manner may avoid systemic toxic effects while preserving potential therapeutic effects. The parasitic helminth Heligmosomoides polygyrus has evolved cell-type-targeted modulators of TGF{beta} signaling. With insights from the development of other targeted signaling modulators and using the worm proteins as a guide, we sought to develop a human-fibroblast-targeted TGFBR2 antagonist. Here, we report mechanistic insights into the targeted worm TGFBR2 antagonist TGM6 and fusion proteins containing the TGM6 targeting domains. We created a bispecific antibody TGFBR2 antagonist that binds PDGFRA as a targeting receptor and demonstrates cell selectivity and enhanced potency in fibroblasts. Our findings suggest a viable path for developing targeted TGF{beta} signaling antagonists as therapeutics for cancer and tissue fibrosis.

cell biology↗

bioRxiv2026

Phenotype-associated spatial biomarker discovery in spatial transcriptomics with spHOT

Spatial transcriptomics now profiles patient cohorts at single-cell resolution, enabling analysis of disease-associated cell organization in situ. However, discovering such spatial biomarkers remains challenging because relevant structures occur at unknown scales and cell-or niche-level annotations are rarely available. We present spHOT, a deep learning framework that localizes phenotype-associated spatial biomarkers from sample-level labels. spHOT combines spatial foundation model embeddings, a hierarchical domain tree for multi-resolution tissue representation, and a teacher-student multiple instance learning architecture that converts sample labels into cell-level biomarker scores. In controlled simulations and real-tissue benchmarks, spHOT outperformed existing spatial and single-cell methods in localizing ground-truth biomarkers. Across fibrotic, metabolic, and autoimmune disease datasets, spHOT recovered disease-relevant niches and tissue states reported by supervised analyses in the original studies. Cross-disease application of spHOT transferred biomarkers across chronic lung diseases without retraining. spHOT enables scalable, annotation-efficient spatial biomarker discovery in cohort-scale spatial transcriptomics.

bioinformatics↗

bioRxiv2026

Auto-sumoylation of UBC9 coordinates meiotic prophase and protects ovarian reserves

The small ubiquitin-like modifier SUMO regulates key events of meiosis, including pairing and crossing over between homologous chromosomes. Auto-sumoylation of the SUMO E2-conjugating enzyme UBC9 at lysine 14 alters its substrate selectivity in vitro, but the role of this modification in vivo is unknown. Here, we show that UBC9-K14 auto-sumoylation helps coordinate meiotic prophase and is important for maintenance of the ovarian reserve. Ubc9K14R/K14R knock-in mice show a variety of defects in meiotic prophase I, including altered assembly of DNA strand-exchange complexes, delayed and defective homolog synapsis, and unstable crossover recombination complexes. In spermatocytes, these defects are associated with reduced efficiency of crossing over between the X and Y chromosomes. Oocytes from Ubc9K14R/K14R females show related but distinct defects in recombination and synapsis. Moreover, maintenance of the primordial follicle reserve is defective in Ubc9K14R/K14R females, and their fecundity is reduced. Finally, we identify the meiosis-specific homolog-axis protein SYCP3 as a direct target of UBC9 in vitro and show that SYCP3 modification is strongly stimulated by K14 auto-sumoylation. We infer that auto-sumoylation enables UBC9 to modify a subset of targets in vivo, helping to coordinate key events of meiotic prophase and enhance the survival of primordial follicles to maximize fecundity.

genetics↗

bioRxiv2026

Re-evaluation of the report of Culex quinquefasciatus in the Republic of Korea: Molecular evidence of cryptic hybridisation within the Culex pipiens complex

The Culex pipiens complex comprises globally distributed mosquito species that serve as vectors for various arboviruses and filariasis. Female mosquitoes within the Cx. pipiens complex are morphologically very similar, making species identification based on morphologically characteristics challenging. To date, Cx. pallens and Cx. pipiens f. molestus have been reported to inhabit the Republic of Korea (ROK). Conversely, Cx. quinquefasciatus, predominantly distributed in tropical regions, has not been documented in the country since a single record in the 1950s. Recently, however, Cx. quinquefasciatus was reported from the Jeju region of the ROK based on molecular identification. This study aimed to re-evaluate the occurrence of Cx. quinquefasciatus in the ROK by conducting molecular identification using the ace-2 and CQ11 markers on Cx. pipiens complex specimens collected nationwide, including from Jeju, where Cx. quinquefasciatus had previously been reported. Our analysis identified only Cx. quinquefasciatus-Cx. pallens hybrid individuals among the Cx. pipiens complex specimens from the Jeju region, highlighting the need to re-evaluate the analytical methods used in previous studies that reported the presence of pure Cx. quinquefasciatus. These findings provide essential evidence for future surveillance of the distribution, introduction, and establishment of Cx. quinquefasciatus and underscore the need for continuous monitoring.

evolutionary biology↗

bioRxiv2026

Cryptic disease-prone states in human mesocortical assembloids revealed by multimodal profiling

Neurodegenerative diseases are characterized by synaptic failure, aberrant protein accumulation, and neuroglial dysfunction that emerge long before clinical onset. Although brain assembloids, which recapitulate interregional circuit connectivity beyond the scope of single organoids, significantly advance the modeling of circuit pathophysiology, they are predominantly evaluated through single-modality approaches that cannot resolve the functional and molecular heterogeneity underlying differential disease susceptibility. Here we show that morphologically identical human iPSC-derived dorso forebrain-midbrain mesocortical assembloids (MCAs) spontaneously bifurcate into disease-prone and non-prone states under identical culture conditions, revealing that MCA heterogeneity reflects intrinsic neurodegeneration susceptibility rather than stochastic culture variability. Using integrated electrophysiological, molecular, and spatial profiling, we find that disease-prone MCAs exhibit a temporally ordered molecular cascade in which neurofilament light chain elevation precedes tau dysregulation, mirroring the sequential biomarker trajectories observed in pre-symptomatic human neurodegeneration. Disease-prone MCAs further display selective cortical hyperexcitability and aberrant brainwave-like oscillatory dynamics that remain undetectable by any single modality. Spatially, a discrete junction-like neuronal population at the midbrain-forebrain interface shows transcriptional priming for synaptic overactivation alongside impaired astrocytic glutamate clearance, defining a spatially confined neuron-glial uncoupling as a candidate early origin of the disease-prone state. These findings reframe MCA heterogeneity as a biological window into pre-symptomatic neurodegeneration, with broad implications for disease modeling, risk stratification, and therapeutic discovery.

neuroscience↗

bioRxiv2026

Multi-modal Graph Integration for Biologically Interpretable Domain Identification Using Spatial Transcriptomics

Functional domain identification in spatial transciptomics transforms spatial molecular measurements into mechanistic insights into tissue physiology and pathology. However, the inherent noise and sparsity of gene expression data, along with the locality-biased design of conventional graph-based approaches, fundamentally limit the accurate identification of complex tissue domains. In this study, we propose a novel Biologically Interpretable multi-modal Graph using Spatial Transcriptomics, called BIGraph-ST, that integrates pathway activity scores and histological image features for robust spatial domain identification. BIGraph-ST represents modality-specific similarity through affinity graphs and propagates spatial topology to capture higher-order connectivity within the tissue microenvironment. Experimental results demonstrated robust performance and notable improvements across multiple gold-standard benchmark datasets, particularly in cancer tissues. Moreover, BIGraph-ST provides biologically interpretable pathway-level representations of domains, which ultimately offers a valuable tool to gain biological in-sights into complex tissue architectures. The source code will be publicly available upon acceptance.

bioinformatics↗

bioRxiv2026

Elevated cholesterol in APOE4 astrocytes drives mitochondrial cristae collapse and ATP synthase dysfunction

Cholesterol imbalance is a hallmark of major human diseases, including atherosclerosis and Alzheimers disease, both of which are also associated with mitochondrial dysfunction, yet the mechanistic links between cholesterol and mitochondria remain poorly understood. Here we show that elevated intracellular cholesterol in murine astrocytes expressing the Alzheimers disease risk variant APOE4 disrupts the inner mitochondrial membrane, manifesting as sparse, truncated cristae alongside an excess of cristae junction complexes. These structural abnormalities are accompanied by loss of respiratory chain complexes I and IV, and reduced respiration; nevertheless, low proton leak and reverse ATP synthase activity combine to generate an elevated mitochondrial membrane potential. Strikingly, APOE4 astrocytes are hypersensitive to the ATP synthase inhibitor oligomycin, demonstrating a profound dysfunction of the enzyme, and cholesterol sequestration with methyl-{beta}-cyclodextrin abrogates this toxicity, establishing elevated cholesterol as its proximate cause. Another method of targeting ATP synthase, epicatechin, which prevents the enzyme operating in reverse, attenuated both cholesterol- and respiratory chain inhibitor-induced cell death. Reciprocally, reducing intracellular cholesterol via nutrient restriction restored cristae architecture and partially rescued respiratory chain complex abundance. These findings identify mitochondrial cholesterol as a critical determinant of cristae architecture and ATP synthase function and suggest that cholesterol-driven mitochondrial dysfunction may be a unifying feature of cholesterol-related disorders from neurodegeneration to atherosclerosis. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=145 SRC="FIGDIR/small/742391v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@2e80a1org.highwire.dtl.DTLVardef@fecd32org.highwire.dtl.DTLVardef@51ba3corg.highwire.dtl.DTLVardef@199f3c6_HPS_FORMAT_FIGEXP M_FIG Elevated intracellular cholesterol in APOE4 astrocytes disrupts the inner mitochondrial membrane and ATP synthase, resulting in sparse cristae, increased ATP hydrolysis and heightened oligomycin sensitivity. The vulnerability to oligomycin is abrogated by cholesterol sequestration with cyclodextrin, indicating causality. These findings position cholesterol as a key determinant of the cristae landscape and ATP synthase function, highlighting the importance of the emerging field of mitochondrial-cholesterol crosstalk. C_FIG

cell biology↗