Biology subjects

Lee, H.

Publications and source records attributed to Lee, H..

At least 91 records · Page 5Linked to original sources

bioRxiv2026

EvoStructCLIP: A Mutation-Centered Multimodal Embedding Model for CAGI7 Variant Effect Prediction

AO_SCPLOWBSTRACTC_SCPLOWWe present EvoStructCLIP, a mutation-centered multimodal embedding model that integrates local 3D structural windows and evolutionary constraints to predict missense variant effects. EvoStructCLIP combines two encoders: a structure voxel encoder derived from AlphaFold residue neighborhoods and an MSA-based evolutionary encoder. It aligns the modalities through CLIP-style contrastive learning, with FuseMix regularization and an auxiliary pathogenicity loss trained on 153,787 ClinVar variants. Evaluations using lightweight regressors demonstrate that EvoStructCLIP embeddings capture highly transferable predictive signals across diverse phenotypes, including gene-specific functional readouts of BRCA1, KCNQ4, and PTEN/TPMT. This transferability is further supported in the CAGI7 blind competition setting, where models generalized to predicting different gene-specific readouts for BARD1, FGFR, and TSC2 without target-specific retraining and achieved competitive performance across heterogeneous biological tasks.

bioinformatics↗

bioRxiv2026

In planta-specific transcriptional regulatory circuit regulates expression of MoHTR1, a nuclear effector gene of Magnaporthe oryzae

During host-pathogen interactions, fungal pathogens secrete effector proteins into host cells to manipulate the host immune system and facilitate infection. Although many effector genes are highly expressed during infection stages, there is limited information on the mechanisms regulating their in planta expression. Here, we characterize the promoter of MoHTR1, a nuclear effector gene of the rice blast fungal pathogen, to elucidate its in planta-specific expression. Using promoter deletion and mutation analyses, we identified a core cis-element (TATTTCGT) within the MoHTR1 promoter, designated the in planta active (IPA) element, which is crucial for in planta-specific expression. The IPA element is responsible for the expression of not only MoHTR1, but also other effector genes including a known effector Slp1. Furthermore, the IPA element enables the in planta expression of MobZIP14, a gene specifically expressed during vegetative growth. The IPA element plays a critical role in fungal virulence by enabling MoHTR1 expression and regulating host immune responses. Bioinformatic and DNA-protein interaction analyses revealed that RGS1, a transcription factor containing a winged-helix binding domain, acts as a transcriptional regulator of MoHTR1 by directly binding to the IPA element. Our findings provide new insights into the regulatory mechanisms driving the in planta-specific expression of fungal effector genes.

microbiology↗

bioRxiv2026

Structural Basis for C8 methylation of 23S ribosomal RNA by Cfr

Cfr methylates C8 of adenosine 2503 (A2503) in 23S ribosomal RNA (rRNA) and will also methylate C2 of A2503 after methylating C8. C8 methylation confers resistance to more than five classes of clinically used antibiotics, highlighting it as a worrisome mechanism of antibiotic resistance. Here, we report the structure of Cfr, determined by cryogenic electron microscopy (Cryo-EM). Despite its small size ([~]36 kDa), we exploit a transient protein-RNA crosslink that forms during catalysis, which requires Cys105 to resolve. Using a Cfr Cys105Ala variant and an 87-nucleotide strand of rRNA, we isolate the crosslinked species and determine its structure to 3.0 [A] resolution. Notably, the 87-mer rRNA adopts an L-shaped conformation characteristic of tRNAs, rather than the conformation it assumes in the ribosome. One Sentence SummaryCryo-EM structure of Cfr, a radical S-adenosylmethionine methylase that confers antibiotic resistance

biochemistry↗

bioRxiv2026

Contrastive learning for antibody-antigen sequence-to-specificity prediction

Predicting which antibodies bind to which antigens directly from primary amino acid sequences remains a major challenge, as no current method can reliably determine this specificity at both a repertoire and proteome scale. Structure-based protein design frameworks can propose antibody binders to specified antigenic epitopes, but they do not solve the "sequence-to-specificity" task of mapping antibodies to cognate epitopes, and vice versa. Here, we introduce CALM (Cross-attention Adaptive Immune Receptor-Antigen Language Model), a dual-encoder plus cross-attentive decoder architecture that treats antibody-antigen recognition as molecular translation. Using contrastive learning, antigen and antibody encoders learn a shared embedding space that aligns cognate epitope-paratope binding pairs. CALM-1.0 is trained and evaluated on 4,138 curated antibody-antigen pairs obtained from the PDB-derived structural antibody database (SAbDab). On a leakage-controlled test split drawn from sequence clusters at 80% identity and unseen during training, CALM-1.0 achieves a mean top-1 retrieval (R@1) of 7%, with consistent performance across both directions (Ab[->]Ag and Ag[->]Ab). CALM establishes a foundation for bidirectional antibody-antigen sequence-to-specificity prediction with the potential to unify retrieval and generative design.

immunology↗

bioRxiv2026

Loss of Mitochondrial FMT Restores Chloroplast Proteostasis via Inter-organelle Compensation

Chloroplast proteostasis is vital for plant development, yet whether cells can actively reprogram organelle communication to restore plastid function when essential protease components fail remains unclear. Using a forward genetic suppressor screen in Arabidopsis, we identify loss of the mitochondria-associated protein FRIENDLY MITOCHONDRIA (FMT) as a strong suppressor of the virescent and growth-retarded clpc1 mutant, which lacks the major chloroplast Clp chaperone ClpC1. Suppression is highly specific and occurs independently of GUN1-mediated retrograde signaling. Integrated multi-omics analyses reveal that clpc1 and fmtclpc1 represent two distinct organelle signaling states. In clpc1, loss of ClpC1 triggers a plastid stress state characterized by repression of photosynthesis-associated transcription factors, induction of plastid metabolic stress markers, and impaired proteolytic activity. By contrast, loss of FMT shifts the system into a recovery state despite persistent mitochondrial clustering. Mechanistically, FMT negatively regulates CLPC2, a ClpC1 paralog, and fmt-mediated rescue results from CLPC2 derepression. Moderately elevated ClpC2 restores in vivo proteolysis, as evidenced by recovery of PAA2 substrate turnover, normalization of chloroplast ultrastructure, and reactivation of photosynthesis-related gene expression. Transcriptomic and proteomic profiling further reveal coordinated remodeling of nuclear gene expression and chloroplast protein investment in the recovery state, including reduced cytosolic folding stress and selective induction of jasmonic acid- and salicylic acid-associated signaling networks. Genetic analyses establish that REC1 and REC2 are required for full CLPC2 induction and phenotypic recovery. Together, our findings uncover a latent inter-organelle compensatory mechanism in which mitochondrial perturbation reprograms nuclear gene expression to restore chloroplast proteostasis when ClpC1 function is compromised.

plant biology↗

bioRxiv2026

Enhanced intercellular transfer of mitochondria from nuclear respiratory factor 1 (NRF1)-primed mesenchymal stem cells: towards creation of superior mitochondrial delivery hubs

Mitochondrial dysfunction is a pervasive hallmark of diverse diseases. In endothelial cells (ECs), oxidative stress, bioenergetic failure, and dysregulated mitochondrial dynamics (fusion-fission, mitophagy) damage the endothelium and promote vascular pathologies such as diabetes, atherosclerosis, and aging. Mitochondrial augmentation, via direct transplantation of isolated mitochondria or cell-to-cell transfer of the organelle, has emerged as a strategy to restore mitochondrial function in metabolically compromised cells. We recently established that overexpressing nuclear respiratory factor 1 (NRF1), a driver of mitochondrial biogenesis, in mesenchymal stem cells (MSCs) increases mitochondrial content and preserves mitochondrial function under senescence-inducing stress. Here, we advance NRF1-primed MSCs as enhanced mitochondrial hubs for intercellular mitochondrial delivery to cells undergoing mitochondrial dysfunction. We hypothesized that NRF1 overexpression engages mitochondrial transfer machinery, thereby enhancing both tunneling nanotube (TNT)- and extracellular vesicle (EV)-mediated mitochondrial transfer to stressed ECs, improving EC mitochondrial fitness and health. mRNA-mediated NRF1 priming of MSCs increased expression of proteins involved in mitochondrial motility and transfer, enhanced TNT formation, and increased production of mitochondria-containing EVs. Single-cell RNA sequencing (scRNA-seq) results show that NRF1 priming shifted MSCs into distinct transcriptional states, with NRF1-enriched clusters exhibiting coordinated upregulation of cell-adhesion/cytoskeletal connectivity programs and vesicle-fusion/trafficking pathways, features consistent with enhanced structural coupling and secretory transfer capacity. NRF1 priming increased TNT-like F-actin intercellular bridges in direct co-culture and elevated mitochondria-containing EV transfer in transwell assays, demonstrating augmented mitochondrial delivery through both contact-dependent and contact-independent routes. Consequently, recipient ECs displayed reduced mitochondrial ROS, preserved membrane potential, improved oxidative phosphorylation and ATP production, rebalanced mitochondrial dynamics of fusion-fission and mitophagy. NRF1-primed MSCs further attenuated oxidative stress-induced EC senescence and apoptosis. Together, these findings identify NRF1 activation as a mechanism to reprogram MSCs into high-capacity mitochondrial donors and support NRF1-driven mitochondrial hub engineering as a strategy to strengthen mitochondrial transfer-based therapies for diseases characterized by mitochondrial dysfunction.

bioengineering↗

bioRxiv2026

Model-Driven Hybrid AI Framework for End-to-End Autonomous Decision-Making in Drug Development

Decision-making in drug development spans heterogeneous stages from molecular design to clinical optimization, yet computer-aided workflows across stages remain fragmented, limiting traceability from evidence-derived clinical questions to simulation scenarios and decision endpoints. We present a model-driven hybrid AI framework for end-to-end decision support that treats PICO (Participants, Intervention, Comparison, Outcome) as a machine-actionable specification to define scenarios and align endpoints across modules. Given a PICO-defined clinical question and a drug SMILES, the framework infers PBPK-ready parameters from structure, generates exposure via mechanistic PBPK simulation, and links exposure outputs to clinic-facing therapeutic drug monitoring (TDM) decision support using an open-source NLME-based Clinical Pharmacokinetic Consultant Service (CPCS). We additionally implement an LLM-based PICO extraction layer to structure clinical abstracts into P/I/C/O elements for systematic evidence ingestion. Results include backbone verification for DTI-guided intrinsic clearance prediction under fold-error bounds and PBPK trajectory plausibility, and external validation of the hybrid AI-PBPK pipeline showing substantial dispersion for several endpoints. An input-controlled comparison between PhysioSim and PK-Sim on N = 9 drugs yields similarly degraded accuracy under identical AI-predicted inputs, suggesting upstream parameter quality as a dominant constraint. For evidence ingestion, prompting-only PICO extraction achieves F1 of 0.687 on EBM-NLP and 0.552 on TB-PICO. For clinical utility, CPCS improves TDM performance over a PKS baseline on phenobarbital and vancomycin, reducing MAPE by approximately 26-60% depending on configuration. Overall, the framework provides a modular, traceable blueprint linking evidence-defined questions to exposure simulation and TDM decision support while preserving mechanistic interpretability. Future work will integrate outcome-aligned time-to-event modeling and federated learning to close the PICO-to-outcome loop and improve parameter inference under multi-site governance.

pharmacology and toxicology↗

bioRxiv2026

Film Recall Reveals Intact Event Memory but Impaired Sequence Memory in Temporal Lobe Epilepsy Patients

BACKGROUND AND OBJECTIVESPatients with epilepsy (PWE), especially temporal lobe epilepsy (TLE), experience impaired memory for personally experienced events. However, current assessments of episodic memory are limited in their ecological validity with a potential to miss detection of subtle cognitive decline. We conducted an exploratory study to determine whether a naturalistic film-viewing task with open-ended spoken recall could detect memory differences between TLE patients and healthy controls (HCs). METHODSTLE patients (ages 18-60, fluent in English, not legally blind) were recruited from a Level 4 Epilepsy Center (2018-2024). TLE diagnosis was based on seizure semiology, MRI Brain, and EEG. TLE patients scored [≥]22/30 on the Montreal Cognitive Assessment (MOCA); HCs scored [≥]26/30. Subjects watched 6 short films and then freely recalled film details. Spoken responses were recorded, transcribed, segmented, and scored for film- and event-level recall. Recall order was assessed using the Damerau-Levenshtein distance. Semantic and causal centrality were quantified using sentence embeddings and rater-identified causal links, respectively. Beta regression with cluster-robust standard errors assessed group and centrality effects on recall probability. Beta regression evaluated the influence of age, MOCA, and testing platform on sequence recall error. RESULTSWe recruited 51 subjects (27 TLEs; 24 HCs, 70.1% F, mean 29.9 {+/-}8.3 years). TLE patients and HCs showed similar recall of films (HC 89% {+/-}11% vs TLE 88% {+/-}18%, p = 0.54), coarse events (HC 50% {+/-}16% vs TLE 44% {+/-}18%, p = 0.19) and fine events (HC 25%{+/-}10% vs. TLE 22%{+/-}12%, p=0.17). Both groups recalled high causal centrality events better. For coarse event sequence recall, TLE patients showed a numerical trend toward greater sequence errors compared to HCs (HC 10.8% {+/-} 10.5% vs. TLE 19.5% {+/-} 18%, p = 0.06), although this difference did not reach statistical significance. However, TLE patients showed significantly greater fine event sequence errors at recall than HCs (HC 15% {+/-}13% vs 23% {+/-}18%, p = 0.02, Hedges g = 0.85, Cliffs {delta} = 0.51), with RTLE demonstrating more sequence errors than HCs (15%{+/-}13 vs. 29%{+/-}21% p = 0.021) Age, education, MOCA, and performance on standard verbal and visual memory tasks were unrelated to film, event, and sequence recall performance. DISCUSSIONWe demonstrate that a short film task with spontaneous spoken recall can identify sequence memory impairment in TLE patients despite intact film- and event-level recall. Sequence memory may represent a subtle manifestation of memory impairment that is not detected by standard cognitive testing. Key PointsO_LIWe asked whether a naturalistic film recall task could detect episodic memory impairment in a temporal lobe epilepsy cohort. C_LIO_LIPatients with temporal lobe epilepsy showed comparable film and event recall compared to healthy controls but were found to have impaired sequence memory. C_LIO_LISequential memory for temporal order is an overlooked aspect of episodic memory that may detect subtle memory decline. C_LI

neuroscience↗

bioRxiv2026

Label-free quantitative phenotyping of hepatic stellate cell activation using holotomography with AI-enabled subcellular segmentation

Hepatic stellate cell (HSC) activation is a central driver of liver fibrosis, yet its quantitative characterization in living cells remains limited by endpoint assays that rely on fixation and labeling. Here we introduce a label-free framework that combines three-dimensional holotomography (HT) with automated, AI-assisted analysis to study HSC activation dynamics in live cells. Using refractive index tomography, we non-invasively visualize hallmark structural features of HSC activation, including lipid droplet depletion, cytoskeletal remodeling, and changes in cellular morphology. Correlative fluorescence imaging validates the biological relevance of HT-derived features, while longitudinal imaging reveals continuous activation trajectories at single-cell resolution. Automated segmentation of whole cells and subcellular organelles enables scalable extraction of multi-parametric biophysical descriptors, defining a quantitative phenotypic fingerprint that distinguishes quiescent and activated states. Together, this work establishes holotomography-based quantitative phenotyping as a powerful approach for studying HSC activation and, more broadly, dynamic cell-state transitions in living systems.

cell biology↗

bioRxiv2026

Lethal permeabilization of host bacteria to small-molecule compounds during phage penetration

The tailed phages (Caudoviricetes) rely on specialized mechanisms to inject their double-stranded linear genomic DNA (gDNA) across the bacterial envelope. During this gDNA entry process, ionic fluxes and membrane depolarization may occur, potentially leading to increased vulnerability to antibiotic molecules. Here, we report that phage gDNA translocation combined with certain small molecules triggers a rapid and phage-specific cell permeabilization leading to growth arrest. Using live-cell fluorescence microscopy, we visualized the accumulation of otherwise excluded compounds such as anthracyclines and propidium iodide. We show that the influx and accumulation of these compounds depend on both the presence of an inner membrane (IM) receptor and persistent membrane depolarization. We further demonstrate that phage-induced permeabilization enhances the efficacy of certain antibiotics, enabling a synergistic elimination of antibiotic-resistant bacteria. Our results provide a mechanistic foundation for combining phages with small-molecule therapeutics and offer new insights into how phage entry relies on and alters host physiology.

microbiology↗

bioRxiv2026

Deep Plasma Proteomics Coupled with Functional Genomics Reveals Drivers of Parkinson's Disease Progression and Levodopa Response

Parkinsons disease (PD) is a progressive neurodegenerative disorder lacking disease-modifying therapies, and its clinical management is limited by the absence of accessible biomarkers for tracking disease progression and treatment response. To map these complex disease trajectories, we implemented an ultra-deep plasma proteomics workflow integrating Mag-Net extracellular vesicle enrichment with Orbitrap Astral mass spectrometry to profile longitudinal samples from PD patients. This approach quantified 6,481 plasma proteins at unprecedented depth in PD studies, revealing distinct signatures directly associated with disease duration and dopaminergic therapy exposure. Candidate biomarkers were subsequently validated in an independent cohort using ELISA, demonstrating robust predictive utility in AI-driven prediction models. To uncover the mechanistic drivers underlying these systemic changes, we intersected our proteomic data with novel proteome-wide gene overexpression perturbation screens designed to identify regulators of alpha-synuclein pre-formed fibril (PFF) uptake and PFF-induced neuronal toxicity. Finally, an integrative network analysis combining three independent proteome-wide assays revealed that key pathological hubs, such as CD14, IFNG, and PLAT, are targets of currently approved pharmacological agents. Collectively, these findings provide a comprehensive, systems-level map for PD biomarker discovery and highlight druggable pathways to advance precision medicine strategies.

neuroscience↗

bioRxiv2026

Microstate-specific functional connectivity in alcohol use disorder using resting-state EEG

Alcohol Use Disorder (AUD) is often described as a "disconnection syndrome", reflecting neural dysfunction associated with chronic alcohol use. However, previous studies on functional connectivity of resting-state EEG (rsEEG) in AUD have reported inconsistent findings--some showing hyperconnectivity, others hypoconnectivity or no significant differences--possibly due to overlooking the brains dynamic nature even at its resting state. Here, we examined rsEEG in 26 young adults with AUD and 35 healthy controls (HC), using microstate analysis to characterize transient brain states and to estimate functional connectivity within each state. We showed that microstate map topologies were comparable between the two groups. However, the temporal dynamics in the AUD group were biased toward microstates C and D, characterized by anterior-to-posterior configurations, within which between-channel functional connectivity differed from that of HC. Particularly within microstate C, the AUD group showed significantly reduced functional connectivity compared to the HC group in the majority of channel pairs. Moreover, compared with conventional functional connectivity estimates, microstate-specific functional connectivity yielded superior classification performance in distinguishing individuals with AUD from HC. Subsequent computation of graph-theoretical measures revealed that individuals with AUD showed less stable hub-like properties and reduced small-worldness in microstate C, indicating diminished network efficiency. Our findings suggest that transient EEG properties, exemplified by microstate-specific functional connectivity, provide informative neural markers for characterizing the impact of alcohol use on the brain. HighlightsO_LIResting-state EEG microstates reveal altered brain dynamics in alcohol use disorder C_LIO_LIMicrostate C exhibits widespread reductions in functional connectivity in AUD C_LIO_LIMicrostate-specific connectivity outperforms conventional measures in AUD classification C_LIO_LIGraph analysis reveals reduced network efficiency and unstable hubs in AUD C_LI

neuroscience↗

bioRxiv2026

Diverse bacterial pattern recognition receptors sense the conserved phage proteome

Recognition of foreign molecules inside cells is critical for immunity across all domains of life. Proteins of the STAND NTPase superfamily1,2, including eukaryotic NOD-like receptors (NLRs), play a central role in this process3,4. In bacteria and archaea, although several STAND families sense phage proteins5-9, their functional diversity remains largely unexplored. We conducted a systematic phylogenetic analysis of prokaryotic STAND NTPases and identified at least 90 structurally distinct families associated with antiviral defense. We first show that the uncharacterized Avs7 family recognizes the major capsid protein (MCP) of tailed phages. Three cryo-EM structures of Salmonella enterica Avs7 reveal an asymmetric, butterfly-shaped tetramer that assembles stepwise via large, MCP-induced conformational changes, incorporating bacterial elongation factor Tu (EF-Tu) as a structural component that enhances defense. Using genetic screens with a library of 687 phage genes, we further show that 13 additional STAND families sense 13 conserved phage proteins, encompassing most of the core structural and replicative components of tailed phages. These include two distinct MCP-sensing families--Avs8 (PD-{lambda}-4) and Avs10 (Erebus/Hypnos/bNACHT64)--and 11 others (Avs11-21) recognizing the portal, portal adaptor, tail nozzle, head-tail connector, tail terminator, tail tube protein, tail assembly chaperone, tape measure protein, DNA polymerase, helicase/RecA-type ATPase, and single-stranded DNA annealing protein, respectively. Together, our findings highlight structurebased pattern recognition and host factor repurposing as fundamental strategies of bacterial immunity.

molecular biology↗

bioRxiv2025

Plasma cell identity escape drives resistance to anti-BCMA T-cell-redirecting therapy in multiple myeloma

Chimeric antigen receptor T-cell (CART) and T-cell engager (TCE) therapies targeting B-cell maturation antigen (BCMA) are transforming the treatment landscape for relapsed multiple myeloma (MM). However, despite impressive initial response rates, most patients eventually relapse. To investigate this unmet medical need, we applied whole-genome sequencing (WGS) to MM cells from cohorts of 102 relapsed patients treated with anti-BCMA CART and TCE therapies. Several genomic alterations were associated with clinical outcomes, particularly primary refractoriness, including high genomic complexity and mutations in genes regulating plasma cell identity, which predicted resistance to therapy. Single-cell RNA sequencing further revealed that MM cells from refractory patients exhibited high proliferation signatures and reduced expression of TNFRSF17 (encoding BCMA), while were less enriched for plasma cell-associated transcriptional programs, a phenomenon we term "plasma cell identity escape." This profile was strongly associated with immune dysregulation of CD8 T cells including increased activation and exhaustion. This evolution of MM toward a more proliferative and lineage-divergent state, refractory to the anti-BCMA T-cell redirecting therapies, was functionally validated in preclinical MM mouse models. Collectively, our results comprehensively define the cellular and molecular mechanisms underlying primary resistance to anti-BCMA therapies.

cancer biology↗

bioRxiv2025

Multilevel Regulation of Skeletal Muscle Ferroptosis in Aging: Sex- and Exercise-Dependent Effects on Histological, Molecular, and Genetic Markers

BackgroundFerroptosis, an iron-dependent form of regulated cell death, is increasingly recognized as a key contributor to aging-associated skeletal muscle degeneration and dysfunction. However, the interactive effects of aging, sex, and exercise modality on ferroptosis regulatory markers at the histological, protein, and gene expression levels remain poorly understood. MethodsMale (n = 23) and female (n = 23) mice aged 7 (young) and 17 (aged) months were assigned to sedentary control, voluntary wheel running, or forced treadmill exercise. Ferroptosis in the quadriceps muscle was assessed using histological markers (e.g., fibrosis, Fe3 accumulation, 4-HNE, MDA), protein-level markers (e.g., GPX4, SLC7A11, p-AMPK, MDA, GSH/GSSG), and gene expression markers (e.g., SLC7A11, GSS, ACSL4, POR). ResultsAging significantly elevated histological indicators of ferroptosis--fibrosis, lipid peroxidation, and iron overload--regardless of sex. At the protein and gene levels, sex-dependent differences were evident: aged females exhibited lower MDA and GSSG levels and upregulation of antioxidant-related genes, compared with aged males. Both exercise interventions modulated ferroptosis markers, with forced exercise exerting more pronounced effects than voluntary exercise. Notably, aged females demonstrated the most substantial reductions in ferroptosis-related markers in response to forced exercise, indicating a significant sex-by-exercise interaction. ConclusionAging markedly increases ferroptosis-related changes in skeletal muscle, with partial sex-specific differences at the molecular level. Forced exercise provides more robust regulatory effect against ferroptosis than voluntary exercise, especially in aged females. These findings underscore the therapeutic potential of sex-specific, targeted exercise interventions for mitigating ferroptosis-mediated muscle deterioration during aging.

physiology↗

bioRxiv2025

Developmental and transcriptional programs that define the initiation of the forelimb

The vertebrate forelimb initiates as a localized swelling in the somatic lateral plate mesoderm (somatic LPM) in response to TBX5-dependent transcription. The molecular pathways driving limb morphogenesis have been extensively studied but the steps directly preceding limb bud formation remain poorly characterized. To address this, we defined the temporal onset of forelimb initiation in mouse embryos using sequencing based high-throughput approaches (RNA-seq, scRNA-seq, ChIP-seq, and Ribo-ITP) benchmarked to known features in forelimb development, identifying four distinct stages. Using scRNA-seq at the onset of forelimb-specific transcription, we determined the transcriptional profile of the somatic LPM and identified signature genes that distinguish the nascent forelimb from other cell types. This group includes multiple genes involved in neural projection as well as cell adhesion. Interestingly, these genes are highly enriched for TBX5 binding sites, suggesting they are candidate early transcriptional targets of TBX5. As TBX5 is essential for forelimb outgrowth, the identification of these genes suggests new mechanistic models for TBX5-driven limb initiation.

developmental biology↗

bioRxiv2025

Sex- and ketogenesis-dependent effects of intermittent fasting against diet-induced obesity and fatty liver disease

ABSTRACTSIntermittent fasting (IF) improves metabolic health, yet the requirement for hepatic ketogenesis in mediating these benefits remains unclear. Here, we investigated how hepatic ketogenesis contributes to the metabolic and hepatic effects of IF in male and female mice. In the human liver, ketogenesis-associated genes showed sex-dependent correlations with inflammatory and fibrotic pathways. In mice, fasting increased circulating ketone bodies, with females exhibiting a greater rise, indicating intrinsic sex differences in ketone metabolism. IF reduced body weight and adiposity in both sexes, and these systemic benefits persisted despite antisense oligonucleotide (ASO)-mediated knockdown of hepatic Hmgcs2. In contrast, hepatic benefits were sex- and ketogenesis-dependent. IF markedly reduced steatosis and fibrosis in male mice, but these improvements were attenuated or abolished when hepatic ketogenesis was disrupted. Female mice showed minimal hepatic benefit from IF and displayed heightened susceptibility to steatosis, fibrosis, and inflammatory activation under ketogenic insufficiency. Single-cell transcriptomic analyses identified neutrophils and myofibroblasts as key responders to hepatocyte-derived ketone bodies, and IF suppressed neutrophil-driven inflammatory signaling in a ketogenesis-dependent manner in males but not females. Together, these findings demonstrate that while systemic metabolic improvements from IF are largely ketogenesis-independent, the hepatic anti-steatotic and anti-fibrotic effects of IF are sexually dimorphic and require intact hepatic ketogenesis.

physiology↗

bioRxiv2025

Telomere-to-Telomere Accurate and Gapless Korean Standard Reference Genome

We present KOREF1-G-TTAGGA, the first Telomere-to-Telomere Accurate and Gapless Genome Assembly, standing as the Korean standard reference genome. The paternal and maternal haplotypes spanned 2.91 and 3.03 Gb. Genome-wide, at least 99.15% of assembled sequences were reliably haplotype-resolved, and over 95% remained accurate even in the most error-prone loci, including centromeric satellite arrays and segmental duplications. Rare-k-mer copy-number concordance within satellite arrays held up 98.9% and 98.8% per haplotype. Bionano optical maps fully spanned all canonical rDNA arrays on the five acrocentric chromosomes. The assembly quality index (AQI) of 99.77 and 99.69 exceeded the reference-quality threshold of 90, and more than 99.99% of gene and cCRE sequence was free of structural error. Both haplotypes further showed high base-level accuracy, with consensus quality value (QV) of 81.19 and 79.03, corresponding to one error per 131 and 80 Mb. KOREF1-G-TTAGGA is among the highest-quality East Asian telomere-to-telomere assemblies. It moreover anchors a decade-spanning multi-ome reference dataset for defining individual molecular states. Together, these resources define the personal referenceome as a foundation for individual biology and precision medicine, with the assemblies, annotations, and all multi-omic data openly available at https://koreanreference.org.

genomics↗