Biology subjects

Lee, S. H.

Publications and source records attributed to Lee, S. H..

At least 19 recordsLinked to original sources

bioRxiv2026

Haplotype-resolved genetic mapping using selfed progeny enables simultaneous genome assembly validation and trait dissection in a heterozygous plant

Genetic linkage maps are essential for genome analysis and molecular breeding, but developing suitable mapping populations remains challenging in many plant species. Approaches requiring inbred parental lines are particularly difficult to implement in plants with long generation times or severe inbreeding depression. We developed haplotype-resolved genetic mapping (HRGM) to construct linkage maps from a single heterozygous individual and its selfed progeny without requiring inbred parental lines. HRGM combines haplotype-resolved unitig assemblies from the S0 parent with genotype data from its S1 progeny, using sequence differences between the two haplotypes to define phased SNP markers. Application to Cynanchum wilfordii generated a high-density genetic map comprising 8,147 SNP markers consolidated into 464 bins across 11 linkage groups, spanning 786.4 cM. The map enabled the detection of two loci associated with root development. Recombination patterns derived from the S1 population showed strong concordance with the chromosome-scale genome assembly and exhibited recombination suppression in putative centromeric regions. HRGM integrates recombination-based genome assembly validation and trait mapping within a single framework. By using one generation of selfed progeny and obtaining linkage-phase information directly from phased assemblies, it simplifies mapping population development and extends the utility of genomic resources for genetic analysis and molecular breeding, particularly in species where selfed progeny can be obtained but conventional mapping populations are difficult to establish.

genomics↗

bioRxiv2026

TiSAM: fusing spatial and histopathology foundation models for whole-slide image segmentation

Semantic segmentation of whole-slide images (WSIs) quantifies tissue composition and architecture, but existing models require extensive annotation and lose accuracy as the number of tissue classes increases or on heterogeneous, cross-scanner datasets. Here, we present the Tissue Segment Anything Model (TiSAM), which fuses SAM3 spatial features with UNI2-h pathology features within a multi-scale decoder. Because public benchmarks contain few tissue classes, we release MegaMouse, comprising 36,833 annotations of 52 tissue classes from 12 mouse organs, and an 11-class human pancreas dataset. TiSAM achieved the highest overall performance across four public datasets compared to existing convolutional neural network and vision transformer models, maintained high accuracy on MegaMouse, and maintained high accuracy in the human pancreas dataset when trained on as few as 5 annotated WSIs where previous integrations of SAM with pathology foundation models did not. TiSAM segmentations were also more consistent across eight slide scanners compared to other models. These results establish TiSAM as a general and highly adaptable framework for tissue segmentation, enabling studies containing many tissue classes, limited annotations, or images from multiple scanners.

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

Emergence of tunneling nanotube-like intervesicular connections

Tunneling nanotubes (TNTs) are actin-supported membrane bridges that mediate long-range intercellular communication and direct transfer of signaling molecules, organelles, and pathogenic cargo, yet the physicochemical mechanisms underlying their formation and organization remain poorly understood. Here we show that TNT-like intervesicular connections emerge from minimal physicochemical interactions between actin filaments and lipid membranes. Upon Mg2+ exposure, actin-encapsulating vesicles spontaneously generated actin bundle-embedded lipid nanotubes (AT-LNTs) that formed stable intervesicular networks. Mg2+ simultaneously induced actin polymerization, filament bundling, and electrostatic recruitment of F-actin to phosphatidylcholine membranes, enabling membrane tubulation without actin-binding proteins. Systematic perturbation of membrane phase, membrane tension, Mg2+ concentration, ionic strength, and actin concentration revealed that AT-LNT formation occurs only within a narrow physicochemical regime where membrane deformation and actin-membrane coupling are simultaneously permissive. The resulting AT-LNTs reproduced key structural and dynamic features of cellular TNTs, including bundled organization, helical unwinding, lumenal diffusion, and spontaneous bridging between synthetic vesicles and living cells. These findings establish a minimal biophysical framework for understanding the emergence of intercellular membrane connections in living systems and provide a foundation for engineering communication between synthetic and living cell.

synthetic biology↗

bioRxiv2026

Self-reinforcing ROS-aneuploidy feedback loop shapes preimplantation development

Aneuploidy and oxidative stress have each been implicated in impaired embryonic development, yet their relationship remains unclear. Here we discover a self-reinforcing ROS-aneuploidy feedback loop with hysteretic properties in preimplantation development. In human blastocysts, oxidative stress associates with aneuploidy at the population level. Paradoxically, euploid and aneuploid embryos can show overlapping oxidative states, and oxidative stress is uncoupled from morphological, temporal, and maternal age-associated indicators of developmental competence. To test whether oxidative stress and aneuploidy merely co-occur or actively influence one another, we used IVF-derived mouse embryos. Induced chromosome missegregation elevates oxidative damage, while oxidative perturbations promote aneuploidy. Crucially, restoring ROS to baseline levels fails to rescue chromosome integrity or developmental potential, revealing hysteresis whereby outcomes depend more on prior chromosomal history than on instantaneous redox state. Together, these reveal that transient redox perturbations can induce persistent chromosomal alterations that shape developmental outcomes even after redox balance is restored, thereby challenging proposals of ROS as a biomarker of embryonic competence.

developmental biology↗

bioRxiv2026

Inverse reinforcement learning reveals action-oriented value signals in naturalistic decision making

A major challenge for cognitive neuroscience is to explain how value of a goal-directed behavior is computed in complex and naturalistic environments. Standard computational models of decision making have been highly successful in controlled, trial-based paradigms, but they are often ill-suited to real-time behavior unfolding in naturalistic paradigms. Inverse reinforcement learning (IRL) offers a way to infer latent evaluative state from observed behavior in naturalistic environments, but its neural interpretability remains largely unknown. Here, we investigated whether moment-to-moment reward trajectories derived from IRL map onto value signals in the brain during a real-time driving task performed during fMRI scanning. IRL-derived reward trajectories were most robustly associated with activity in the dorsal striatum, a region often linked to value-guided action selection. They also showed associations with distributed regions supporting additional processes, including cognitive control and sensorimotor processing. This pattern suggests that IRL reward captures distributed neural activity centered on the reward circuitry, potentially reflecting how valuation interacts with other processes. Together, these findings suggest that IRL reward provides a behaviorally grounded, temporally resolved proxy for action-oriented valuation during naturalistic decision making.

neuroscience↗

bioRxiv2026

Reprogramming Dedifferentiation Regulatory Networks Preserves Human Chondrocyte Phenotypes

Chondrocyte-based cartilage repair strategies such as autologous chondrocyte implantation (ACI) require extensive in vitro expansion to obtain clinically relevant cell numbers. However, this expansion step progressively drives chondrocyte dedifferentiation, reducing matrix-forming capacity and contributing to variable repair outcomes. To better understand this process, we used single-nucleus multiome profiling (snRNA-Seq + snATAC-Seq) to define the transcriptional and chromatin accessibility programs underlying human chondrocyte dedifferentiation during expansion. Multiome integration across passages revealed a continuous dedifferentiation trajectory accompanied by coordinated remodeling of gene expression and chromatin accessibility, identifying chromatin destabilization as an early regulatory event during phenotype loss. Guided by these regulatory signatures, we screened available small-molecule inhibitors targeting candidate pathways and found that Fludarabine most consistently preserved chondrocyte identity during early expansion. Fludarabine was associated with suppression of STAT1-related programs and early stabilization of the chromatin landscape prior to broader transcriptional recovery. Functionally, treated cells demonstrated enhanced matrix-forming capacity in chondrogenic pellet culture and significantly increased nascent protein synthesis in 3D hydrogel culture, with biosynthetic output approaching unexpanded controls by day 21. Together, these findings identify chromatin stability as a key regulatory determinant of expansion-associated chondrocyte dedifferentiation and establish a pharmacologic strategy to preserve chondrocyte functional potency during cell manufacturing for cartilage repair.

bioengineering↗

bioRxiv2026

Systems modeling identifies phenotype-determining signaling pathways controlled by phosphatase PTPRJ in diverse receptor tyrosine kinase activation settings

Protein tyrosine phosphatase receptor J (PTPRJ) restrains cell proliferation and migration by dephosphorylating receptor tyrosine kinases (RTKs) including the epidermal growth factor receptor (EGFR). PTPRJ is a purported tumor suppressor, and alterations to its expression and/or function are associated with colorectal, breast, lung, and other cancers. While there is interest in controlling PTPRJ-regulated phenotypes, efforts are limited by the complexity of PTPRJ-mediated signaling. PTPRJ dephosphorylates multiple RTKs, and the degree to which PTPRJ control of signaling and phenotypes depends on local cellular RTK activation profiles is unknown. To probe the context dependence of PTPRJ signaling regulation, we collected signaling measurements across 16 pathway nodes at two time points in a panel of HSC3 carcinoma cells engineered with different PTPRJ expression profiles. Cells were treated with three different RTK ligands, and paired phenotype measurements (viability, wound healing, xCELLigence cell index) were made. Partial least squares regression models were developed to predict relationships between PTPRJ-regulated signaling pathways and cell phenotypes. The model effectively separated contributions to variance arising from the PTPRJ expression background and growth factor context. In testing model predictions, we demonstrated that PTPRJ suppressed MET-induced cell cell proliferation via regulation of a HER3/AKT signaling axis that stabilized PTPRJ expression through an unanticipated feedback mechanism. We also found that PTPRJ regulated HSC3 cell migration via JNK signaling that was preferentially activated by MET. Our results identify new regulatory nodes through which PTPRJ influences cancer cell phenotypes and demonstrates that these processes preferentially occur in the context of distinct RTK activation states.

systems biology↗

bioRxiv2026

Excessive Ca2+-dependent ER-mitochondrial contact stabilization by EFHD1 drives liver injury

Metabolic-associated steatohepatitis (MASH) involves hepatocyte damage that cannot be explained solely by lipid accumulation. Here, to discover injury-specific pathways, we focused on a gene of uncertain function, EF-Hand Domain Family Member D1 (EFHD1), identified in human genome-wide association studies of liver injury but not liver fat. We show that EFHD1, a Ca2+-dependent actin crosslinker, stabilizes endoplasmic reticulum-mitochondria contact sites (ERMCS), detecting spatiotemporal coincidence of inter-organellar proximity and ER Ca2+ release. During MASH, EFHD1 upregulation drives pathological mitochondrial fragmentation via excessive contact persistence. This structural failure promotes mitochondrial double-stranded RNA escape and activation of a maladaptive antiviral PKR-dependent stress response, a causal relationship also supported by Mendelian randomization in humans. Consequently, inhibiting EFHD1 in human and mouse models blunts hepatocyte damage. These findings identify EFHD1 as a Ca2+-dependent ERMCS stabilizer, reveal a hepatocyte-intrinsic injury pathway, and suggest EFHD1 inhibition as a therapeutic strategy.

cell biology↗

bioRxiv2026

A macrophage-derived noncanonical WNT niche drives immune exclusion in pancreatic cancer

Background and AimsPancreatic ductal adenocarcinoma (PDAC) is characterized by profound immune exclusion and resistance to immunotherapy. Although WNT signaling has been implicated in PDAC, its cellular source within the tumor microenvironment and its contribution to immune suppression remain poorly defined. This study investigated whether myeloid-derived WNT signaling promotes PDAC progression. MethodsTranscriptomic data from human PDAC cohorts, including The Cancer Genome Atlas (TCGA), and published single-cell RNA sequencing datasets were analyzed. Macrophage-associated WNT5A expression in human PDAC biopsies was assessed using in situ hybridization and immunofluorescence. Macrophage-derived WNT secretion was genetically disrupted using macrophage-specific Porcn knockout mice in orthotopic and subcutaneous KPC tumor models. Lineage-resolved spatial organization of macrophage subsets was characterized using Ms4a3 fate-mapping double-reporter mice with immunofluorescence and imaging mass cytometry. Macrophages-CD8 T cells interactions were assessed using tumor-educated macrophage conditioned media, pharmacologic ARG1 inhibition, and in vivo CD8 T cell depletion. ResultsPDAC tumors with high macrophage signatures showed enrichment of noncanonical WNT signaling, and macrophage-associated WNT5A was detected in human biopsies. Disruption of macrophage-derived WNT secretion suppressed tumor growth, reversed immune exclusion, and enhanced cytotoxic CD8 T cell infiltration. Spatial lineage-resolved analysis demonstrated progressive accumulation of Hexb tissue-resident macrophages that dominated advanced lesions and formed a WNT-rich niche closely associated with Trem2Arg1 monocyte-derived macrophages. Mechanistically, macrophage-derived noncanonical WNT activated a JNK/c-Jun-ARG1 axis that inhibited CD8 T cell proliferation, an effect abolished by myeloid WNT loss. ConclusionsMyeloid-derived noncanonical WNT establishes a lineage-structured macrophage niche that enforces immune exclusion in PDAC. Targeting macrophage-restricted WNT signaling represents a promising strategy to reprogram the PDAC immune microenvironment.

cancer biology↗

bioRxiv2026

Sex-specific associations between astrocytic reactivity and cognitive decline in unimpaired elderly

INTRODUCTIONAstrocyte reactivity may contribute to increased Alzheimers disease (AD) risk in women. Although higher plasma glial fibrillary acidic protein (GFAP) levels have been reported in women, few studies have investigated sex-specific relationships with other plasma AD biomarkers and cognition. METHODSParticipants were enrolled in the Memory Education and Research Initiative, a longitudinal community-based cohort, and underwent evaluation including blood biomarker sampling. The Alzheimers Disease Neuroimaging Initiative (ADNI) was included as a replication cohort. RESULTSUnimpaired women exhibited higher plasma GFAP levels than men (N=584). Higher baseline GFAP was associated with worse longitudinal episodic memory, exclusively in women. In addition, both higher baseline and increasing GFAP levels over time were associated with lower longitudinal plasma A{beta}42/40 ratio. The key results were replicated in the ADNI cohort. DISCUSSIONThese findings suggest that astrocytic reactivity is more pronounced in women and may contribute to sex-specific vulnerability to AD-related pathology and cognitive decline.

neuroscience↗

bioRxiv2026

Systemic and Local Delivery of siRNA to the CNS and Periphery via Anti-IGF1R Antibody Conjugation

siRNA delivery platforms capable of accessing both central and peripheral tissues are critically needed to expand the therapeutic potential of oligonucleotides. To address this, we developed a novel siRNA-antibody conjugate by attaching an Hprt-targeting siRNA to an engineered antibody shuttle. This shuttle targets the insulin-like growth factor 1 receptor (IGF1R) using a fused antibody fragment (Clone F) and utilizes an antibody backbone with no tissue-relevant binding in this study. The resulting conjugate, designated Clone F-Hprt, demonstrated robust in vivo knockdown across multiple tissues. Clone F-Hprt demonstrated enhanced penetration into central nervous system (CNS) tissues compared to unconjugated siRNA following intracerebroventricular (ICV) and intravenous (IV) administration. In peripheral tissues, Clone F-Hprt achieved widespread knockdown in muscle, heart, and lung, consistent with IGF1R expression. The conjugate was well tolerated across all routes, including with repeated dosing. Although several receptor-mediated approaches for CNS delivery are progressing to the clinic (e.g., targeting the transferrin receptor), clinical validation remains to be demonstrated. Our findings highlight IGF1R as an alternative receptor capable of supporting delivery across both central and peripheral tissues, offering a complementary strategy for expanding the therapeutic landscape of oligonucleotide delivery.

neuroscience↗

bioRxiv2026

Two orthogonal MAP3K-driven pathways of NLRP1 inflammasome activation revealed by poisonous beetles.

Environmental toxins that cause irritant dermatitis remain poorly understood as activators of innate immune pathways. Here, we identify rove beetle (Paederus) and blister beetle (Meloidae) toxins as previously unrecognized triggers of the human NLRP1 inflammasome in keratinocytes. Rove beetles, likely through the ribosome inhibitor pederin, activate NLRP1 via translational stalling and the ZAK-dependent ribotoxic stress response. In contrast, the phosphatase inhibitor cantharidin from blister beetles induces NLRP1 through TAK1-driven hyperphosphorylation of its linker region, independent of ZAK. In their hyperactivated states, ZAK and TAK1 share overlapping phosphosites on the NLRP1 disordered linker, including a common essential TZ motif. In addition, we show that TAK1 and ZAK are jointly responsible for NLRP1 linker phosphorylation and activation caused by dsRNA and CHIKV infection. These findings reveal medically relevant insect toxins as activators of NLRP1, and uncover parallel MAP3 kinase pathways as converging upstream activating signals for the human NLRP1 inflammasome. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=172 HEIGHT=200 SRC="FIGDIR/small/701189v1_ufig1.gif" ALT="Figure 1000"> View larger version (50K): org.highwire.dtl.DTLVardef@ee34b9org.highwire.dtl.DTLVardef@c79ec9org.highwire.dtl.DTLVardef@189c373org.highwire.dtl.DTLVardef@17ec853_HPS_FORMAT_FIGEXP M_FIG C_FIG KEY POINTSTwo dermatitis-causing beetle species induce NLRP1-driven pyroptosis of human keratinocytes Rove beetles, likely via pederin, activate NLRP1 via ribosome inhibition and ZAK[a]-driven RSR Cantharidin from blister beetles activates human via TAK1-, instead of ZAK[a]-driven hyperphosphorylation of the NLRP1 linker region Shared phosphosites by TAK1 and ZAK[a] on NLRP1 contribute to dsRNA-driven NLRP1 activation

immunology↗

bioRxiv2026

Combining evolution and machine learning-guided pathway optimization to engineer a novel methylsuccinate module for synthetic C1 metabolism in vivo

De novo metabolic pathways open possibilities for sustainable biotransformations in microbes. However, the in vivo-implementation of such new-to-nature pathways is highly challenging and heavily relies on adaptive laboratory evolution (ALE) of the hosts native metabolic network. Here, we assess how much this need for host-centric ALE can be overcome and/or complemented through the informed design of the newly introduced pathway. Exemplifying for a synthetic CO2-fixation module via methyl-succinate, we established methylsuccinate-dependent growth of Escherichia coli over six months by ALE of E. colis native metabolism. In parallel, we developed a machine-learning guided workflow (MEVIS) for the automated engineering of the synthetic pathway, resulting in methylsuccinate-dependent growth within three weeks. Critically, performing MEVIS in the background of the ALE-evolved strain is necessary to further approach wild-type like growth, demonstrating how ALE in combination with machine-learning-guided lab automation holds great potential to accelerate and improve design-build-test-learn cycles in contemporary metabolic engineering.

bioengineering↗

bioRxiv2026

Hyperactive BMP and Mechanosignaling Remodel Chromatin to Drive Aberrant Osteogenesis in FOP

Fibrodysplasia ossificans progressiva (FOP) is a rare genetic disorder in which a recurrent ACVR1 (R206H) mutation drives progressive heterotopic ossification (HO). While aberrant BMP hypersensitivity has been studied, how this mutation enforces a persistent pro-osteogenic state remains unclear. Here, we combined super-resolution stochastic optical reconstruction microscopy (STORM), transposase-accessible chromatin with sequencing (ATAC-Seq), and RNA sequencing (RNA-Seq) to investigate how Acvr1R206H remodels chromatin to promote osteogenic transcriptional programs. Mutant mouse embryonic fibroblasts (MEFs) exhibited globally decondensed chromatin and increased accessibility at developmental and osteogenic loci enriched for HOX, TEAD, and RUNX motifs. Integration of ATAC-Seq and RNA-Seq data identified transcriptional networks primed for osteochondrogenic gene expression, including ossification, extracellular matrix organization, and cell adhesion pathways, consistent with enhanced BMP-SMAD and mechanotransduction activity. Time-course experiments revealed heightened responses to BMP ligands in Acvr1R206H/+ MEFs compared to wild-type, highlighting ligand hypersensitivity. Importantly, pharmacological modulation showed that chromatin alterations were dynamic and reversible: activation of Rho/ROCK in wild-type cells reproduced the mutant chromatin state, while inhibition of Rho/ROCK or BMP-SMAD signaling restored condensation to wild-type levels in mutant cells. Together, these findings establish that Acvr1R206H enforces a pro-osteogenic chromatin landscape through convergent BMP-SMAD and Rho/ROCK signaling, predisposing progenitors to aberrant differentiation trajectories. Our study reframes FOP as a disorder of persistent, but reversible, chromatin states and identifies novel therapeutic opportunities to restore mesenchymal cell homeostasis and prevent pathological bone formation. Significance StatementFibrodysplasia ossificans progressiva (FOP) is a rare genetic disorder in which a mutation in ACVR1/ALK2 drives progressive heterotopic ossification. However, how this mutation enforces a persistent pro-osteogenic state is unclear. Here, we show that the Acvr1R206H mutation remodels chromatin architecture and accessibility through hyperactive BMP-SMAD and Rho/ROCK signaling, activating transcription factor networks that drive osteochondrogenic gene expression. These chromatin changes are dynamic and reversible with targeted pathway inhibition, revealing therapeutic potential to restore mesenchymal cell plasticity and prevent pathological bone formation.

bioengineering↗

bioRxiv2025

Methylation mimic mutations of progesterone receptor AF1 impair gene-specific regulation through stabilized chromatin interactions

Progesterone receptor (PR) is a nuclear receptor that regulates gene transcription through recruiting coregulators and general transcription factors by activation functions AF1 and AF2. AF1 localizes to the non-conserved and disordered N terminal domain and is believed to facilitate tissue- and gene-specific activity. Our previous proteomic analysis identified three key functional residues (K464, K481 and R492) of AF1 that are monomethylated. Mutations of KKR to phenylalanine (FFF) that mimic methylation created hypoactive PR, whereas KKR/QQQ mutations generated hyperactive PR in gene reporter assays. The current study investigated specific involvement of AF1 in PR regulation of gene expression in breast cancer cells. AF1-FFF mutations attenuated progestin induced growth regulation, cell adhesion and apoptosis and AF1-QQQ mutation enhanced these effects. Genome-wide expression analysis showed attenuated gene regulation by AF1-FFF of two thirds of PR target genes including genes involved in hypoxia and TNF signalling via NFKB. Unexpectedly, AF1-FFF mutations had little effect on ligand-independent gene regulation, suggesting distinct mechanisms of gene regulation by liganded and unliganded PR. Intriguingly, impaired activity of methylation mimic mutant PR-FFF is associated with higher enhancer binding peaks in ChIP-Seq analysis. This corresponds to a stronger association of AF1-FFF with SRC-1 and AF2 as we previously reported. We propose that methylation mimic AF1 mutant impairs regulation of a subset of genes through tighter coregulator binding which restricts the dynamics of the disassembly of transcription complex.

molecular biology↗

bioRxiv2025

Vis-OCT Explorer: an open-source software for visible-light optical coherence tomography data processing

Background and objectivesVisible-light optical coherence tomography (vis-OCT) has enabled the visualization of retinal structures and functions beyond the capabilities of conventional OCTs. However, to reconstruct high-quality images, vis-OCT requires special post-processing, including balanced detection. An open-source, standardized vis-OCT data processing software is essential for clinical applications and translation of vis-OCT. MethodsWe developed Vis-OCT Explorer, an open-source, modular Python-based software for processing vis-OCT images. In addition to the standard spectral-domain OCT processing pipeline - including k-space resampling, dispersion compensation, and fast Fourier transformation - Vis-OCT Explorer offers unique dual-spectrometer balanced detection, short-time-Fourier transformation (STFT) based dispersion compensation coefficient optimization, and GPU-accelerated processing. We evaluated the reconstruction performance by quantifying a quality index extracted from individual B-scan images. We also assessed the repeatability of retinal thickness measurements by five operators on images acquired from different testing sites using the intraclass correlation coefficient (ICC) analysis. ResultsBalanced detection and STFT-based dispersion compensation significantly increased the quality index of reconstructed B-scan images. ICC values of the retinal nerve fiber layer (RNFL) and ganglion cell-inner plexiform layer (GCIPL) thickness measurements from four testing sites exceeded 0.8 in 87.5% of the macular-centered images. The ICC of RNFL thickness measurements on all optic nerve head-centered images is above 0.8, showing strong repeatability across users. ConclusionsVis-OCT Explorer provides high-quality image processing and enables highly repeatable measurements on vis-OCT human retinal images. It facilitates future multicenter clinical tests to validate vis-OCTs clinical efficacy.

bioengineering↗

bioRxiv2025

A near gap-free haplotype-resolved genome assembly of Zoysia japonica uncovers intra-subgenomic gene expression and regulatory variation

Zoysiagrass is a warm-season allotetraploid turfgrass valued for stress tolerance, but high heterozygosity and polyploidy have impeded accurate genome assembly. Here, a near gap-free, allele-aware, fully phased genome of Zoysia japonica cv. Palisades was assembled using PacBio HiFi and Hi-C data. The assembly resolves 20 chromosome pairs (317.2 and 317.0 Mb for haplotypes 1 and 2) with telomeric repeats at both ends of all chromosomes, attains 98.3% BUSCO completeness and 99% completeness by Merqury, and comprises approximately 50% repetitive DNA and about 40,000 protein-coding genes per haplotype. Comparative analysis identified roughly 2.9 million SNPs and numerous structural variants. Hemizygous genes were widespread (4,863 in hap-1 and 4,519 in hap-2), enriched within insertion regions, highly divergent regions, and haplotype-unique sequences, and showed elevated expression relative to homozygous genes. Among 539 one-to-one coding-identical homologs, 29 exhibited haplotype-biased expression associated with upstream promoter variants. This phased genome enables marker development, genetic mapping, and trait dissection in heterozygous polyploids.

genomics↗