Biology subjects

Sun, H.

Publications and source records attributed to Sun, H..

At least 91 records · Page 5Linked to original sources

bioRxiv2025

Epithelial FOXP3 Drives Pancreatic Fibrosis through O-glycosylated IL-6

BACKGROUND & AIMSThe transcription factor FOXP3, known for specifying regulatory T cell fate, is unexpectedly expressed in the epithelium of precancerous pancreatic lesions. Here we investigate its non-immune role in initiating pancreatic fibrosis, a process driving therapeutic resistance and organ failure in pancreatic ductal adenocarcinoma (PDAC) with unknown origins in early neoplasia. METHODSUsing human tissues and genetically engineered mouse models, we analysed FOXP3 expression in premalignant lesions. We employed epithelial-specific FOXP3 knockout and knock-in strategies to determine its functional impact on fibrogenesis and neoplasia progression. Mechanistic studies included chromatin immunoprecipitation, glycomic analyses, and signalling assays. RESULTSFOXP3 was consistently expressed in the epithelial compartment of human and murine precancerous pancreas. Epithelial-specific deletion of FOXP3 attenuated pancreatic fibrosis and delayed neoplasia, whereas its knock-in induced spontaneous stromal activation and accelerated PanIN progression. Mechanistically, epithelial FOXP3 directly transactivated the glycosyltransferase GALNT1. GALNT1, in turn, mediated O-glycosylation of interleukin (IL)-6, which was essential for its rapid secretion. CONCLUSIONSOur study establishes epithelial-derived FOXP3 as a master regulator of early pancreatic fibrocarcinogenesis. It drives a glycosylation-dependent amplification loop for IL-6 signalling, orchestrating sustained stromal activation. This pathway represents a promising target for intercepting pancreatic fibrosis and carcinogenesis at its origin.

cancer biology↗

bioRxiv2025

Colorectal cancer relies on an immunosuppressive cellular topography and genomic adaptations for establishing brain metastases

Colorectal cancer (CRC) brain metastases have a poor prognosis and limited treatment options, including resistance to radiation therapy. Little is known about the molecular and cellular mechanisms that enable CRC tumor cells to adapt to the brain and establish a supportive tumor microenvironment. To address this gap we used spatial transcriptomics to analyze 51 CRC brain metastases. A subset had matched primary colon tumors and longitudinally paired metastatic resections before and after radiation treatment. We identified the critical spatial cellular features of the tumor epithelium and the surrounding tumor microenvironment that support metastatic growth in the brain. CRC brain metastases developed a stromal microenvironment with abundant fibroblasts and tumor-associated macrophages. A fibroblast-macrophage cellular neighborhood promoted angiogenesis, extracellular matrix remodeling, and immune suppression. Tumor cells showed local adaptations. In endothelial-rich regions, they were proliferative whereas in macrophage-rich regions, they were more differentiated and immune evasive. Compared with paired primary tumors, CRC brain metastases showed increased chromosomal instability, with activation of RNA-processing, stress response, and junctional remodeling pathways. After radiation treatment, resistant clones had increased epithelial-mesenchymal transition, while the immunosuppressive stroma remained intact. We identified tumor-derived MIF, GDF15, PRSS3 and SEMA3C ligands and macrophage-derived SPP1 that have the potential to affect multiple cell types in the metastatic niche. These ligand-receptor interactions drive angiogenesis, stromal activation and immune suppression. In a macrophage-tumor-fibroblast co-culture model, knockout of SPP1 in macrophages led to reduced expression of lipid-metabolism related genes and disrupted tumor-promoting interactions. Together, these results indicate that CRC growth in the brain is sustained by a specific cellular organization with immunosuppressive multicellular interactions.

cancer biology↗

bioRxiv2025

Scalable spike sorting across thousands of neurons by modeling neural dynamics with NeuroSort

Neural circuit research requires resolving the functional coding mechanisms at the single-neuron scale. However, neural signals captured from extracellular recordings are inherently complex, shaped both by electrode properties and the spatially distributed neural population activity across recording sites. These factors introduce strong signal mixing and waveform variation, making it diffcult for existing spike sorting methods to reliably isolate individual neurons from large-scale recodings. To address this, we develop NeuroSort, which fuses spatiotemporal information through a contrastive learning strategy to adaptively model neural dynamics. NeuroSort is a GPU-enabled, highly efficient spike sorting framework, enabling the isolating of up to thousands of neurons. We validated NeuroSort on in vivo extracellular recordings, including Utah array data from rhesus macaques performing motor tasks and Neuropixels 1.0 probe data from a rat during rest. Moreover, in a recording collected by the 1,024-channel Neuroscroll probe, NeuroSort sorted the largest number of well-isolated neurons from different brain areas while achieving a 2-8 times speedup over other methods. Taken together, NeuroSort generalizes across recording conditions, providing an interpretable and scalable paradigm for whole-brain dynamic analysis.

neuroscience↗

bioRxiv2025

XPF mediates 3' flap processing for FEN1-independent Okazaki fragment maturation

Okazaki fragment maturation (OFM), the process that removes RNA-DNA primers, is a major source of DNA replication stress and mutations. It involves Pol{delta}-mediated DNA strand displacement synthesis that produces 5 flaps, FEN1-mediated 5 flap cleavage, and LIG1-catalyzed nick ligation. Recently, we discovered that under stress conditions, yeast cells convert 5 flaps into 3 flaps, which are degraded by 3 flap nucleases to produce ligatable DNA nicks. However, little is known about this stress-induced, 3 flap-based OFM in human cells. Here, we report that 3 flaps frequently form in various human cancer cells, and that FEN1 deficiency significantly enhances 3 flap levels. XPF1 is recruited to the replication forks in FEN1 mutant or FEN1-chemically inhibited cells. Notably, XPF deficiency or inhibition in those defective cells leads to accumulation of 3 flaps, replication-related DNA strand breaks, and unique mutation signatures. Furthermore, XPF and FEN1 inhibitors show synergistic effects in killing human cancer cells. In summary, we demonstrate that 3 flap-based OFM is an important alternative of 5 flap-based OFM in mammalian cells. XPF is a key nuclease to degrade 3 flaps and complete OFM for survival. Targeting this compensatory mechanism could provide new therapeutic strategies to selectively impair cancer cell survival under pre-existed replication stress. HighlightsO_LIXPF is recruited to DNA replication forks in mouse or human cells of functional deficiency of FEN1 due to genetic mutations or chemical inhibition. C_LIO_LIXPF gene deficiency or chemical inhibition results in accumulation of 3 flaps and replicative DNA single-stranded breaks. C_LIO_LIFunctional deficiency of XPF and FEN1 displays a synergy in inducing genome instability and cell death in human cancer cells. C_LI

cell biology↗

bioRxiv2025

Selectivity Filter Dynamics Define Ion Conductance and Selectivity Differences in CNG and HCN Channels

Cyclic nucleotide-gated (CNG) channels and hyperpolarization-activated cyclic nucleotide-gated (HCN) channels are key members of the cyclic nucleotide-activated ion channel family that translate intracellular cyclic nucleotide binding into electrical signals. Functionally, CNG channels drive large inward currents in photoreceptors and olfactory sensory neurons, whereas HCN channels are best known for their roles in pacemaker activity in the heart and the regulation of neuronal excitability. Despite their considerable sequence similarity and conserved overall architecture, these channels exhibit striking differences in ion conductance, K+ selectivity, and voltage dependence. Here, we performed microsecond-timescale atomistic molecular dynamics (MD) simulations to directly compare the ion conduction mechanisms of HCN and CNG channels, using the prototypical K+-selective channel MthK as a reference. Our simulations reproduced key features observed in single-channel patch-clamp electrophysiology and revealed that distinct selectivity filter architectures and dynamic behaviors are the primary determinants underlying the divergence in ion conductance and K+ selectivity between HCN and CNG channels. Together, these results provide a mechanistic framework for understanding the physiological roles of these channels and pave the way for the rational design of cation channels with tailored functional properties.

biophysics↗

bioRxiv2025

Effect of the microbiome on pathogen susceptibility across four Drosophilidae species

The microbiota has been shown to play an important role in host susceptibility to infections in some hosts. However, less is known about whether microbiota-mediated effects are consistent across host species, as our understanding of such interactions may be affected by publication bias. Following on from a large study of 36 species of Drosophilidae challenged with four bacterial pathogens, we identified two candidate host species that might have protective microbiome based on low susceptibility and high abundance of the culturable microbiota; we selected two other host species for comparison. We tested whether germ-reduced flies, and flies with a natural or re-constituted microbiome, varied in their susceptibility to systemic infection with two bacterial pathogens (Providencia rettgeri and Staphylococcus aureus) and one viral pathogen (Drosophila C Virus). The composition and abundance of the bacterial microbiota varied between species and microbiome treatments. We found an overall interaction between host species and pathogen type, confirming previous work that host species vary in their susceptibility in a pathogen-specific manner. Similarly, we found that microbiome treatments had differing effects on host survival among host species, although effect sizes tended to be small. In D. putrida individuals with manipulated microbiomes showed increased susceptibility to all pathogens tested; in other hosts altered susceptibility was pathogen dependent. While there are always challenges to manipulating microbiomes, especially across multiple host species, our results indicate that host microbiota may play limited roles on survival in systemic infection in these four species. This work demonstrates that caution is required when generalising about the potential beneficial impact of microbiomes.

microbiology↗

bioRxiv2025

Modeling Alzheimer's Disease with APOE4 Neuron-Glial Brain Assembloids Reveals IGFBPs as Therapeutic Targets

Alzheimers disease (AD) research has been hindered by the lack of models that faithfully recapitulate the full profile of disease progression in a human genetic background. We developed a 3D assembloid model ("Masteroid") using iPSC-derived neurons, astrocytes, and microglia from APOE4/4 and isogenic control lines. Neurons were seeded with tau oligomers, then combined with astrocytes and microglia to form mature 3D Masteroids, followed by amyloid-{beta} oligomer exposure. After four weeks, AD-Masteroids exhibited hallmark pathologies, including extracellular amyloid-{beta} deposits, intracellular tau aggregation, neurodegeneration, astrogliosis, and microglial activation, with APOE4 exacerbating all phenotypes. Single-cell RNA sequencing further identified novel roles of IGFBP pathways in amyloid-{beta} and tau-mediated pathology. This innovative platform provides a robust system to dissect cellular and molecular mechanisms of AD progression and offers a powerful tool for therapeutic discovery. HighlightsO_LIThe 3D human neuron-glia assembloid ("Masteroid"), composed of neurons, astrocytes, microglia, and oligodendrocytes, faithfully recapitulates human brain ultrastructure and intercellular interactions. C_LIO_LIExposure to oligomeric tau and A{beta} induced hallmark Alzheimers pathologies, including amyloid deposition, tau aggregation, neurodegeneration, and gliosis. C_LIO_LIThe APOE4 genotype exacerbated all pathological features, highlighting its role in driving multicellular interactions that accelerate disease progression. C_LIO_LIThe IGF signaling axis was identified as a key mediator of A{beta}- and tau-induced pathology and a potential therapeutic target. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=183 SRC="FIGDIR/small/683162v1_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@f91740org.highwire.dtl.DTLVardef@165726eorg.highwire.dtl.DTLVardef@13b957forg.highwire.dtl.DTLVardef@d40307_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2025

Anionic lipids modulate mRNA-lipid nanoparticle immunogenicity and confer protection in a mouse model of multiple sclerosis

The modularity of mRNA-lipid nanoparticle (mRNA-LNP) platforms has enabled their rapid adaptation from infectious disease vaccines to emerging applications in immune-mediated disorders. However, extending mRNA-LNPs to autoimmune and inflammatory diseases requires precise control over immune cell targeting and immunogenicity. Here, we systematically investigate how incorporating anionic lipids into LNPs modulates both immune cell tropism and innate immune activation. Using a library of 40 distinct LNP formulations, we demonstrate that anionic lipids enhance mRNA delivery to splenic dendritic cells, reduce early cellular markers of adjuvant activity and tune cytokine responses in a lipid-dependent manner. We identify formulations that retain pro-inflammatory adjuvant activity and others that promote tolerogenic responses. A lead formulation containing the anionic lipid DOPG selectively dampens innate activation and induces IL-10 production. When encoding the myelin antigen MOG35-55, this LNP suppresses disease in a mouse model of multiple sclerosis, reducing neuroinflammation, T cell infiltration, and maintaining myelin morphology. These findings establish a framework for designing immune-targeted mRNA-LNPs with tunable immunogenicity and promote the development of antigen-specific tolerizing immunotherapies for autoimmune disease.

bioengineering↗

bioRxiv2025

Schistosoma japonicum Histone Acetyltransferase 1 (SjHAT1): A Novel Anti-schistosomal Drug Target

Schistosomiasis remains a critical global health issue, necessitating novel therapies due to emerging praziquantel resistance. We previously developed a patented praziquantel derivative, DW-3-15, which demonstrated potent broad-spectrum schistosomicidal activity through SjHAT1 inhibition. Here, the full-length SjHAT1 cDNA is cloned by rapid amplification of cDNA ends methods. The amino acids encoded by the cDNA retains conserved catalytic residues of acetyltransferases although sharing only 34% identity with mammalian orthologs. Phylogenetic analyses place it in a distinct clade, indicating its divergence specific to Schistosoma species. The expression profiling of SjHAT1 reveals stage- and sex-specific patterns. Fluorescence in situ hybridization localizes SjHAT1 predominantly in female vitellaria and male parenchyma near the gynecophoral canal. Knockdown of SjHAT1 impairs worm survival, reduces female oviposition and disrupts ovarian and vitelline morphology both in vitro and in vivo. RNA-sequencing analysis reveals that SjHAT1 knockdown disrupts {beta}-alanyl-tryptamine pheromone signaling via downregulation of aromatic L-amino acid decarboxylase in males and multidrug resistance-associated protein 4 in females. Through exploring this dual-sex regulatory mechanisms, SjHAT1 may emerge as a promising therapeutic target for interrupting schistosomiasis transmission.

microbiology↗

bioRxiv2025

Degeneration and Impaired Resilience of Skull Bone and Hematopoietic Bone Marrow

Bone marrow health is central to transplantations, blood formation, and cancer progression. However, the bone marrow niche deteriorates with age, impairing haematopoietic stem cell function. Contrary to a recent report1 suggesting skull marrow resists ageing, our multi-laboratory investigation reveals the opposite: the skull marrow is among the vulnerable sites of age-related decline. Ageing skull niches consistently show loss of mesenchymal and osteoprogenitors, suppression of angiogenic and lymphatic programs, adipocyte accumulation, vascular senescence, DNA replication stress, mitochondrial dysfunction, cellular senescence, and heightened inflammation. Proteomic profiling further highlights this vulnerability, demonstrating that vertebral niches--unlike the skull--are relatively spared from these ageing hallmarks. Together, these convergent datasets overturn the notion of skull-specific resilience and instead establish the skull marrow as a fragile, degenerating environment. These findings redefine marrow ageing and highlight the skull as a critical, clinically relevant target for sustaining blood and immune health and reducing vulnerability to haematological disease.

cell biology↗

bioRxiv2025

Vascular and Lymphatic Dysregulation via Non-EndoMT Col2a1 Signaling in Bisphosphonate-Related Osteonecrosis of the Jaw

Bisphosphonate-related osteonecrosis of the jaw (BRONJ) is one of the most severe complications of antiresorptive therapy. Although impaired angiogenesis is commonly observed in BRONJ, the underlying vascular mechanisms remain poorly understood, impeding the development of effective treatments. In this study, we integrated whole-organ tissue-clearing imaging, single-cell transcriptomics, and proteomics to construct a multimodal atlas of the mandibular microenvironment in both mouse and human BRONJ. Our findings revealed gross vascular and lymphatic rarefaction in BRONJ, along with 4 endothelial subtypes uniformly exhibiting aberrant upregulation of Col2a1. Moreover, fibroblasts and macrophages emerged as key endothelial interactors, collectively underscoring dysregulation of the endothelium-matrix-immune axis. Unlike homeostatic Dmp1/Tfap2a fibroblasts and Stab1 macrophages, BRONJ lesions featured pathological Lrrc15/Chad fibroblasts and Il6 macrophages, which promote ectopic chondrogenesis and inflammation. Mechanistically, BRONJ activated the COL2A1-CD44 axis (EC-to-fibroblast/macrophage signaling) and COL2A1-SDC4 axis (EC-to-fibroblast signaling), whereas lineage tracing excluded endothelial-to-mesenchymal transition (EndoMT), implicating extracellular matrix remodeling as the driver of dysfunction. Cross-species validation in human mandibles further confirmed vascular-lymphatic dysregulation, inflammatory activation, and aberrant chondrogenesis. Overall, this study establishes vascular and lymphatic dysfunction as a central pathological hallmark of BRONJ, driving matrix remodeling dysregulation and immune-inflammatory imbalance, and identifies the COL2A1-CD44/SDC4 axis as a potential therapeutic target for BRONJ.

cell biology↗

bioRxiv2025

Mapping disease critical spatially variable gene programs by integrating spatial transcriptomics with human genetics

Spatial gene expression patterns underlie tissue organization, development, and disease, yet current methods for detecting spatially variable genes (SVGs) lack the flexibility to capture multi-scale structure, ensure robustness across platforms, and integrate with genetic data to assess disease relevance. We present Spacelink, a unified framework that models spatial variability of a gene at both whole-tissue and cell-type resolution using an adaptive mixture of data-driven spatial kernels and summarizes it using an Effective Spatial Variability (ESV) metric. Spacelink achieved up to 3.2x higher detection power over eight existing global SVG and cell-type SVG methods while showing consistently superior FDR control across 34 different simulation settings and also showed superior cross-platform concordance in matched tissue Visium and CosMx datasets. Applied to 3 healthy CosMx human tissues (brain cortex, lymph node, liver), Spacelink revealed that SVGs are highly informative for 113 complex traits and diseases (average GWAS sample size = 340,406). Spacelink showed up to 2.2x higher disease informativeness over competing methods in tissue-relevant complex diseases and traits, conditional on putative non-spatial expression-level confounders. Applied to a mouse organogenesis Stereo-seq atlas (8 developmental stages), Spacelink identified 145 genes with stage-associated ESV within brain independent of mean expression, that are enriched in pathways like Wnt signaling and Rap1 signaling characterizing early and late development, respectively. Integration with in vivo Perturb-seq targeting 35 de novo ASD risk genes revealed that perturbations in excitatory neurons and astrocytes preferentially altered spatially structured downstream gene programs (1.7-2.2x higher average ESV across stages than other cell types), many of which were enriched for polygenic autism GWAS loci. In neurodegeneration, analysis of 32 Visium dorsolateral prefrontal cortex samples spanning Alzheimers disease (AD) pathology stages identified 334 genes with decreasing ESV along amyloid burden (enriched for glycolysis) and 216 genes with decreasing ESV along tau tangle accumulation (enriched for apoptotic pathways). Several AD risk genes (PKM, CLU, GPI) showed conserved reductions in spatial variability with AD pathology in both human and 5xFAD mouse, with PKM linking to a colocalized splicing QTL and amyloid burden QTL variant. These results highlight the utility of Spacelink in decoding spatially variable gene programs that connect tissue architecture to disease genetics.

genomics↗

bioRxiv2025

KM-GPT: An Automated Pipeline for Reconstructing Individual Patient Data from Kaplan-Meier Plots

Reconstructing individual patient data (IPD) from Kaplan-Meier (KM) plots provides valuable insights for evidence synthesis in clinical research. However, existing approaches often rely on manual digitization, which is error-prone and lacks scalability. To address these limitations, we develop KM-GPT, the first fully automated, AI-powered pipeline for reconstructing IPD directly from KM plots with high accuracy, robustness, and reproducibility. KM-GPT integrates advanced image preprocessing, multi-modal reasoning powered by GPT-5, and iterative reconstruction algorithms to generate high-quality IPD without manual input or intervention. Its hybrid reasoning architecture automates the conversion of unstructured information into structured data flows and validates data extraction from complex KM plots. To improve accessibility, KM-GPT is equipped with a user-friendly web interface and an integrated AI assistant, enabling researchers to reconstruct IPD without requiring programming expertise. KM-GPT was rigorously evaluated on synthetic and real-world datasets, consistently demonstrating superior accuracy. To illustrate its utility, we applied KM-GPT to a meta-analysis of gastric cancer immunotherapy trials, reconstructing IPD to facilitate evidence synthesis and biomarker-based subgroup analyses. By automating traditionally manual processes and providing a scalable, web-based solution, KM-GPT transforms clinical research by leveraging reconstructed IPD to enable more informed downstream analyses, supporting evidence-based decision-making.

bioinformatics↗

bioRxiv2025

Lactate receptor, HCAR1, in neonatal hypoxic-ischemic encephalopathy

IntroductionHydroxycarboxylic acid receptor 1 (HCAR1) is a G-protein coupled receptor for lactate that is expressed in the brain and plays a role in neuronal excitability, angiogenesis, and repair after injury. Hypoxic-ischemic encephalopathy (HIE) is the most common cause of brain injury and seizures in term neonates. The goal of this study was to describe HCAR1 expression and function in the neonatal brain and further understand its role in HIE. MethodsHCAR1 expression was measured using qRT-PCR in developing mice (postnatal day (p)10, 20, 30, 50). Electrophysiology was used to measure neuronal properties and spontaneous excitatory postsynaptic currents (sEPSC) in hippocampal principal neurons from HCAR1 knockout and wildtype mice when exposed to lactate. Then, p10 HCAR1 knockout and wildtype mice were exposed to hypoxia-ischemia (HI) and placed on electroencephalography (EEG) to compare seizure burden. HCAR1 expression after neonatal HI was measured with PCR. ResultsHCAR1 is expressed at p10 at similar levels to adults (n=6/group; 1-way ANOVA, p<0.0004). Lactate decreases amplitudes and sEPSC frequency in wildtype (p<0.0001, p<0.001) but not HCAR1 knockout mice (p<0.26, p=0.91). After HI, HCAR1 knockout mice have higher seizure burden (2318s in WT vs. 6497s in KO (p=0.04)) and behavioral seizure scores (4 in WT vs. 6 in KO (p<0.001)) than wildtypes. HCAR1 expression increased 24h post-HI but drops to below baseline at 48h post-HI. (n=3/group; p=0.02). ConclusionHCAR1 is expressed on neurons in the developing mouse brain. Lactate decreases neuronal excitability via HCAR1. HCAR1 is upregulated post-HI and mice lacking HCAR1 exhibit worse neonatal HI seizures. HighlightsO_LIHCAR1, a G-protein coupled, lactate receptor is expressed in the developing mouse brain C_LIO_LIHCAR1 is expressed on neurons in the neonatal mouse hippocampus C_LIO_LIHCAR1 is upregulated 24 hours after neonatal hypoxia-ischemia C_LIO_LIMice lacking HCAR1, exhibit worse neonatal hypoxic-ischemic seizures C_LI

neuroscience↗

bioRxiv2025

Fetal network controllability co-develops with synaptic density and synchronizes with maternal network controllability during pregnancy

White matter undergoes rapid changes during the fetal period that are foundational for future cognitive functions. However, how these changes contribute to the brains capacity to support its dynamic activities--its controllability--remains largely unknown. Here, we apply network control theory (NCT) to investigate the developmental trajectory of controllability from the second trimester through the first postnatal month. We analyzed structural connectivity data from fetuses and infants as part of the developing Human Connectome Project. We identified a robust, nonlinear U-shaped developmental curve of whole-brain controllability across the perinatal period, with a minimum at approximately 35 weeks of gestation. Preterm birth disrupted these trajectories, leading to greater controllability and earlier minimums compared to age-matched fetuses. Using gene expression microarray data from 18 fetal post-mortem brains, we identified genes implicated in synaptic functions that co-develop with changes in controllability during the fetal period. We then used positron emission tomography in seven pregnant rhesus macaques to quantify changes in fetal synaptic density. Increased synaptic density in non-human primates (NHPs) co-occurred with periods of reduced controllability in humans. Finally, using longitudinal scans of a pregnant woman, we mapped the trajectory of changes in maternal controllability during pregnancy. This trajectory exhibited a U-shaped pattern that inversely correlated with the fetal trajectory, reaching a maximum around 36 weeks. Together, fetal controllability follows a nonlinear trajectory that co-develops with synaptic functions and synchronizes with maternal changes in controllability during pregnancy.

neuroscience↗

bioRxiv2025

fSuSiE enables fine-mapping of QTLs from genome-scale molecularprofiles

Molecular quantitative trait locus (QTL) studies seek to identify the causal variants affecting molecular traits like DNA methylation and histone modifications. However, existing fine-mapping tools are not well suited to high-dimensional molecular traits, and so analyses of these traits typically proceed by considering each variant and each molecular measurement independently, ignoring the LD among variants and the spatial correlation in effects between nearby sites. This severely limits accuracy in identifying causal variants and quantifying their molecular trait effects. Here, we introduce fSuSiE ("functional Sum of Single Effects"), a fine-mapping method that addresses these challenges by explicitly modeling the spatial structure of genetic effects on molecular traits. fSuSiE integrates wavelet-based functional regression with the computationally efficient "Sum of Single Effects" framework to simultaneously finemap causal variants and identify the molecular traits they affect. In simulations, fSuSiE identified causal variants and affected CpGs more accurately than methods that ignore spatial structure. In applications to DNA methylation and histone acetylation (H3K9ac) data from the ROSMAP study of the dorsolateral prefrontal cortex, fSuSiE achieved dramatically higher resolution than existing methods (e.g., identifying 6,355 single-variant methylation credible sets compared to only 328 from an existing approach). Applied to Alzheimers disease (AD) risk loci, fSuSiE identified potential causal variants colocalizing with AD GWAS signals for established genes, including CASS4 and CR1/CR2, suggesting specific potential regulatory mechanisms underlying these AD risk loci.

genetics↗

bioRxiv2025

ProStab: Prediction of protein stability change upon mutations by protein language and inverse folding models

Predicting protein stability change upon mutation is critical for protein engineering, yet remains limited by the modeling assumptions of physics-based methods and the generalization bottlenecks of data-driven approaches. We present ProStab, a deep learning framework that integrates sequence- and structure-based information, including the mutation-aware sequence embeddings from protein language models and the geometric features extracted via an inverse folding model. Trained on the large-scale Megascale dataset, ProStab demonstrates strong performance across diverse test sets and robust generalization across distribution shifts between the training and test sets. In head-to-head comparisons, ProStab outperforms all state-of-the-art methods with consistently higher Spearman correlation and precision. To evaluate its practical utility, we experimentally validated ProStab-predicted mutations on the model enzyme transaminase. Among the 16 successfully expressed variants, 4 exhibited improved thermal stability. Remarkably, the 1st top-ranked predicted mutation yielded the highest observed enzymatic activity, retaining three-fold that of the wild type after 10 minutes at 40 {degrees}C. To facilitate broader application, a publicly accessible web server has been developed. We envisage that ProStab provides a scalable and accurate platform for intelligent protein stability design.

bioinformatics↗

bioRxiv2025

In vivo systematic detection of the outcomes of CRISPR/Cas9 mediated DNA repair in skeletal muscle stem cells

CRISPR/Cas9 has revolutionized genome editing with broad therapeutic applications, yet its repair patterns in vivo remain poorly understood. Here, we systematically profiled CRISPR/Cas9 editing outcomes at 95 loci using our established CRISPR/Cas9/AAV9-sgRNA system in skeletal muscle stem cells (MuSCs). Through comprehensive characterization of the repair outcomes, our findings demonstrate that the general rules governing CRISPR/Cas9-mediated editing in vivo largely align with those observed in vitro but with reduced editing precision. Additional to the anticipated small editing indels such as MMEJ mediated deletions and NHEJ mediated templated insertions, we uncovered a prevalent occurrence of large on-target modifications, including large deletions (LDs) characterized by microhomology (MH) and large insertions (LIs). Notably, the LIs comprise not only exogenous AAV vector integrations but also endogenous genomic DNA fragments (Endo-LIs). Endo-LIs preferentially originate from active genomic regions, with their integration shaped by three-dimensional chromatin architecture. By disrupting key components of the NHEJ and MMEJ repair pathways in vivo, we identified their distinct roles in regulating the large on-target modifications. Together, our work for the first time systematically profiles the CRISPR/Cas9 repair outcomes in vivo and offers valuable guidance for improving the safety of CRISPR/Cas9-based gene therapies.

genetics↗