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PubMed2026

Interface Excitons in van der Waals Sandwich Heterostructures.

Exciton engineering in van der Waals heterostructures (vdWHs) is essential for next-generation optoelectronics, yet they normally require near-perfect stacking and are highly sensitive to moiré potentials. Here, we demonstrate a polarity-engineering strategy using a γ-InSe/transition metal dichalcogenide/γ-InSe sandwich heterostructure. The out-of-plane spontaneous polarization of γ-InSe intrinsically breaks interfacial inversion symmetry, giving rise to interface excitons (IFXs) that exhibit a linear Stark effect with an ultrasmall dipole moment of 0.15 e·nm. First-principles calculations and Kelvin probe force microscopy reveal asymmetric interfacial charge transfer governed by γ-InSe's polarity. Transient spectroscopy shows nonmonotonic relaxation dynamics, including a characteristic signal reversal that indicates pre-existing interfacial charge states. Our results establish that exciton dipole moments, interlayer coupling, and relaxation dynamics can be precisely tuned through material polarity and thickness. Polarity engineering thus provides a versatile and robust route to control excitonic properties in vdWHs, offering expanded design strategies for advanced excitonic and optoelectronic devices.

Stark effect↗

PubMed2025

polars-bio-fast, scalable, and out-of-core operations on large genomic interval datasets.

MOTIVATION: Genomic studies very often rely on computationally intensive analyses of relationships between features, which are typically represented as intervals along a 1D coordinate system (such as positions on a chromosome). In this context, the Python programming language is extensively used for manipulating and analyzing data stored in a tabular form of rows and columns, called a DataFrame. Pandas is the most widely used Python DataFrame package and has been criticized for inefficiencies and scalability issues, which its modern alternative-Polars-aims to address with a native backend written in the Rust programming language. RESULTS: polars-bio is a Python library that enables fast, parallel and out-of-core operations on large genomic interval datasets. Its main components are implemented in Rust, using the Apache DataFusion query engine and Apache Arrow for efficient data representation. It is compatible with Polars and Pandas DataFrame formats. In a real-world comparison (107 versus 1.2×106 intervals), our library runs overlap queries 6.5×, nearest queries 15.5×, count_overlaps queries 38×, and coverage queries 15× faster than Bioframe. On equally sized synthetic sets (107 versus 107), the corresponding speedups are 1.6×, 5.5×, 6×, and 6×. In streaming mode, on real and synthetic interval pairs, our implementation uses 90× and 15× less memory for overlap, 4.5× and 6.5× less for nearest, 60× and 12× less for count_overlaps, and 34× and 7× less for coverage than Bioframe. Multi-threaded benchmarks show good scalability characteristics. To the best of our knowledge, polars-bio is the most efficient single-node library for genomic interval DataFrames in Python. AVAILABILITY AND IMPLEMENTATION: polars-bio is an open-source Python package distributed under the Apache License available for major platforms, including Linux, macOS, and Windows in the PyPI registry. The online documentation is https://biodatageeks.org/polars-bio/ and the source code is available on GitHub: https://github.com/biodatageeks/polars-bio and Zenodo: https://doi.org/10.5281/zenodo.16374290. are available at Bioinformatics online.

Software↗

PubMed2026

Decoding TnsC Filament Assembly in CRISPR-Associated Transposons Using Interpretable Deep Learning and Molecular Simulations.

CRISPR-associated transposons (CASTs) enable programmable DNA integration, yet how the TnsC regulator forms processive filaments on DNA to coordinate RNA-guided transposition in type V-K CAST systems remains unknown. Here, we integrate large-scale molecular simulations, interpretable deep learning using graph attention networks (GATs), and causal inference analyses to define the molecular determinants of TnsC filament nucleation and elongation. We show that TnsC nucleates by inducing localized DNA deformation that propagates along extended filaments, with Granger causality revealing that TnsC motions precede and predict DNA deformation. Interpretable GAT models demonstrate that elongation is determined during early recognition between incoming and DNA-bound subunits, followed by structural reorganization that regenerates the recruitment interface and enables processive assembly. These results elucidate the molecular mechanism of processive TnsC filament assembly and explain why isolated TnsC filaments preferentially elongate in the 5' → 3' direction, while accessory transposition factors can reshape the interaction landscape and alter filament growth polarity. Together, these findings advance our understanding of CAST function and inform the engineering of programmable DNA integration platforms. Beyond CAST systems, this work introduces an interpretable GAT approach as a general and transferable deep learning strategy for uncovering molecular mechanisms in biological systems, while demonstrating the power of causal inference for dissecting directional relationships in molecular dynamics.

Deep Learning↗

PubMed2026

A single-nucleus and spatial transcriptomic atlas of poplar leaves reveals the regulation of leaf polarity and cuticle deposition.

Leaf adaxial-abaxial polarity is fundamental for plant morphogenesis and environmental adaptation through asymmetric cell differentiation. Emerging evidence reveals dorsoventral metabolic gradients act downstream of transcriptional networks to fine-tune cellular specialization. While conserved transcription factors (e.g., HD-ZIP III and KANADI) establish initial polarity, the molecular networks driving position-specific cellular differentiation and their integration with metabolic adaptation remain unclear. Leveraging single-nucleus and spatial transcriptomics, we resolve major cell classes (mesophyll, epidermal, and vascular-associated) and their adaxial-abaxial subtypes, revealing dorsoventral polarity in transcriptional profiles and metabolic pathways. Adaxial cells are enriched in phenylpropanoid/flavonoid biosynthesis, while abaxial cells show preferential activation of stress and hormone signaling. Notably, we identify MYC2 as a key regulator of adaxial cuticle biosynthesis, binding to promoters of lipid biosynthetic and transport genes (e.g., CER10 and LTPG1) and promoting cuticle thickening. Our study uncovers how positional identity shapes transcriptional and metabolic polarity in leaves, with MYC2 emerging as a central regulator coordinating organ-specific adaptations. These findings provide insights into the spatial regulation of plant development and stress resilience, offering potential strategies for engineering stress-tolerant woody crops.

Plant Leaves↗

PubMed2026

High-Throughput Screening Identifies Small-Molecule Inhibitors of the Tau-LRP1 Interaction.

The cellular uptake and propagation of tau are central features of tauopathies, including Alzheimer's disease, and are mediated by the endocytic receptor low-density lipoprotein receptor-related protein 1 (LRP1). While prior studies have implicated LRP1 in tau binding and internalization, the biochemical features of this interaction and its suitability for therapeutic targeting remain incompletely defined. Here, we establish a quantitative and scalable framework to interrogate the tau-LRP1 interaction and identify small-molecule modulators. We engineered and purified the LRP1 ligand-binding domain 4 (BD4), a key region mediating tau interaction, and developed multiple orthogonal assays, including fluorescence polarization, split luciferase complementation, and time-resolved FRET, to measure LRP1-BD4 interactions with tau and a known peptide ligand. Across assay formats, we observe consistent binding affinities in the nanomolar range and demonstrate competitive displacement by tau, receptor-associated protein (RAP), and a peptide ligand, supporting overlapping binding interfaces. Leveraging these platforms, we performed small molecule high-throughput screening and identified a set of candidate inhibitors of the LRP1-BD4-tau interaction. Selected compounds reduced tau uptake in a cellular assay, phenocopying competitive inhibition by tau and a peptide ligand. Together, these studies define the LRP1-BD4-tau interaction as a biochemically tractable and druggable interface and establish an integrated discovery pipeline linking mechanistic characterization to functional cellular outcomes. This work provides a foundation for the development of therapeutic strategies targeting LRP1-mediated tau uptake.

Journal Article↗

PubMed2026

Bacterial Outer Membrane Vesicles in Colorectal Cancer: Interdomain Communication Hubs in Pathogenesis and Immunotherapy.

The complex interaction between the intestinal microbiota and host mucosal immunity plays a defining role in colorectal cancer (CRC) development and therapeutic outcomes. Recently, bacterial outer membrane vesicles (OMVs)-nano-sized, lipid-bilayered extracellular particulates released by both commensal and pathogenic microorganisms-have emerged as critical long-range signaling vehicles within the gut. This review provides a comprehensive synthesis of the dual functionalities of OMVs in CRC pathogenesis and oncology. Mechanistically, pathogenic OMVs cross compromised mucosal barriers to drive horizontal gene transfer (HGT) of chimeric episomes, such as SPHINX DNAs and Bovine Meat and Milk Factors (BMMFs), thereby promoting genomic instability and neoplastic transformation. Conversely, there is a paradigm shift toward exploiting next-generation probiotic and engineered OMVs as highly tunable therapeutic platforms. By combining cutting-edge bioengineering strategies-such as biomimetic mineralization to neutralize local tissue acidity and chemotherapeutic packaging-these nanovectors effectively reprogram the immunosuppressive tumor microenvironment (TME). Specifically, optimized OMVs modulate macrophage polarization from an M2 to an M1 phenotype and stimulate CXCL10-mediated CD8+ T-cell infiltration, effectively turning immunologically "cold" tumors "hot." Finally, the great translational challenges regarding systemic endotoxicity, scalability, and target delivery, providing a strategic approach for the integration of OMV-based platforms into synergistic immune checkpoint inhibition regimens.

Colon cancer↗

PubMed2025

Rewiring tumor immunity via zinc finger proteins: a new frontier in cancer immunotherapy.

BACKGROUND: Zinc finger proteins (ZFPs) represent the largest and most structurally diverse family of transcription factors in the human genome. They function through characteristic zinc finger domains that enable specific binding to DNA, RNA, and proteins, playing a central regulatory role in the tumor immune microenvironment. MAIN BODY: This review systematically examines the dual functions of ZFPs in dynamically regulating both innate and adaptive immune responses in cancer. At the innate immunity level, ZFPs precisely control dendritic cell (DC) fate determination, dictate macrophage polarization, balance natural killer (NK) cell activation, mediate myeloid-derived suppressor cell (MDSC) immunosuppressive function, and modulate innate immune sensors and inflammasomes. Within adaptive immunity, ZFPs critically influence T cell effector function and regulate B cell differentiation. Building on these, diverse immunotherapeutic strategies targeting ZFPs are now emerging. These include gene-editing, small molecules and proteolysis-targeting chimeras (PROTACs), synergistic combinations with immune checkpoint blockade, and ZFP-engineered chimeric antigen receptor T (CAR-T) cells. CONCLUSIONS: As pivotal nodes within the tumor immune regulatory network, ZFP-targeting strategies offer novel opportunities to overcome current therapeutic bottlenecks.

Humans↗

PubMed2026

Dual-Reporter Gene-Based Multimodal Imaging for Tracking Mesenchymal Stem Cells in Diabetic Skin Wound Repair.

BACKGROUND: Diabetic foot ulcer (DFU) is a clinically challenging complication characterized by poor healing outcomes, and conventional therapies provide limited benefit. Mesenchymal stem cell (MSC) transplantation offers a promising strategy for DFU repair. However, the low survival of transplanted MSCs in the hostile wound microenvironment, coupled with the lack of real-time, non-invasive methods to track these cells in vivo, severely hampers their therapeutic efficacy and clinical translation. METHODS: We engineered MSCs to co-express a dual reporter system comprising near-infrared fluorescent protein (iRFP) and ferritin heavy chain (FTH1). These modified cells were then integrated with a fibrin glue (FG) scaffold to create a unified platform that supports both multimodal imaging and therapeutic function within skin wounds. First, FTH1 overexpression enhances the antioxidant capacity of MSCs, while the FG scaffold provides structural support; this combination enhances cell survival and retention. Second, the iRFP/FTH1 dual reporter enables near-infrared fluorescence imaging and MRI-based localization, establishing a multimodal platform for real-time cell tracking. RESULTS: In a full-thickness skin defect model in diabetic mice, multimodal imaging revealed that transplanted cells persisted in the wound area for approximately seven days. Treatment with iRFP/FTH1-MSCs/FG significantly accelerated wound closure and promoted hair follicle regeneration and angiogenesis. Additionally, local iron deposition resulting from FTH1 expression enhanced fibroblast migration and collagen synthesis, further facilitating extracellular matrix remodeling. Mechanistic studies demonstrated that this therapy drives macrophage polarization toward the anti-inflammatory M2 phenotype and activates the PI3K-AKT-VEGF signaling pathway. These complementary effects synergistically enhance tissue regeneration and systematically improve diabetic wound healing. CONCLUSIONS: Collectively, this multimodal stem cell-scaffold system effectively integrates dynamic cell tracking with stem cell therapy during skin wound repair. It addresses a critical technical gap in visualizing stem cells within the wound microenvironment and provides valuable methodological and theoretical foundations for optimizing regenerative strategies for diabetic skin wounds.

Animals↗

PubMed2026

Development and preclinical evaluation of a decoy DLL4-encoding oncolytic HSV-1 for high-grade glioma.

Preclinical and clinical investigation of oncolytic HSV-1 (oHSV) treatment for cancer has indicated increased Notch signaling in tumors after treatment. Since Notch activation often heralds cancer cell stemness, angiogenesis, and invasion, the induction of this pathway after oHSV virotherapy can support tumor growth and limit response to virotherapy. Here, we evaluated the impact of blocking DLL4, a Notch ligand, on virotherapy. Matched tumor biopsies pre- and post-oHSV (CAN-3110, NCT03152318) treatment revealed an induction of DLL4 post-therapy. We observed that expression of a recombinant soluble decoy DLL4 (sDLL4) could block Notch activation in tumor cells. Thus, we engineered an oHSV vector designed to encode soluble DLL4 (OVsDLL4) to block ligand-mediated Notch signaling. RNA sequencing and gene set enrichment analysis revealed that, relative to control oHSV, OVsDLL4 blocked Notch and sprouting angiogenesis pathways after treatment. Despite slower virus replication in vitro, OVsDLL4 cytotoxicity remained effective against tumor cells. Transcriptome profiling also indicated a significant dysregulation of metabolic pathways related to oxidative phosphorylation and glutathione metabolism, in accordance with increased oxygen consumption observed by Seahorse analysis in cells expressing sDLL4. OVsDLL4-treated cells further showed increased reactive oxygen species relative to control oHSV-treated cells. Co-culture of infected tumor cells with immune cells revealed that OVsDLL4 treatment polarized them toward an inflammatory phenotype. In vivo, the therapeutic efficacy of OVsDLL4 was underscored, as treatment of glioma-bearing mice resulted in reduced tumor burden and prolonged survival.

Journal Article↗

PubMed2026

Robust error-minimization in the genetic code across physicochemical metrics and variant codes: A graph-theoretic analysis in GF(2)6.

The standard genetic code reduces the impact of point mutations, but the robustness of this property across physicochemical metrics, naturally occurring variant codes, and codon-reassignment mechanisms remains incompletely quantified. Embedding the 64 codons in GF(2)6 represents the hypercube Q6 as a coordinate-dependent subgraph of the encoding-independent single-nucleotide mutation graph H(3,4), and enables continuous ρ-interpolation between the two. Under a quartet-pattern shuffle null (n=10,000), the standard code is significantly low-cost across four established, code-independent physicochemical distance metrics with partially overlapping content (Grant ham p=0.0062; Miyata p<0.001; Woese polar requirement p=0.003; Kyte-Doolittle hydropathy p=0.001), and the signal strengthens monotonically as ρ moves Q6→H(3,4). A structure-aware sensitivity analysis under the alignment-derived ProtSub matrix (Jia & Jernigan 2021) yields the most extreme percentile of any measure tested (p=0.0004; all five p-values pass Bonferroni at α=0.05). Across the 27 NCBI translation tables, near-optimality is preserved: 11 of 12 informative-distance variants retain top-5% placement after BH-FDR correction. Natural codon reassignments avoid disrupting codon-family connectivity: under the encoding-independent H(3,4) adjacency, observed events are topology-breaking at relative risk 0.32 versus the candidate landscape (permutation p≤10-4). The H(3,4) result is stable by construction; the Q6 decomposition is representation-specific and fails to show depletion under 8 of 24 base-to-bit encodings, so we report H(3,4) as the primary test and Q6 as a sensitivity. Event-level conditional-logit modelling shows that topology avoidance and local physicochemical cost provide complementary, only weakly correlated signal (rs=0.15), and that topology adds explanatory value beyond physicochemistry under both Q6 and encoding-independent H(3,4) adjacency. Retrospective reanalysis of nine genome-recoding datasets is consistent with codon-family topology operating as an evolutionary-trajectory constraint distinct from acute engineering fitness. The contribution is the second axis: code evolution is jointly constrained by physicochemical smoothness and codon-family topological integrity, and these two constraints are partly independent.

Codon reassignment↗

PubMed2026

Oncolytic HSV-1-Mediated JAG1 Blockade Induces Glioma Senescence-Associated Secretory Phenotype to Increase Macrophage Activation and Cetuximab-Mediated Senolysis.

UNLABELLED: Oncolytic HSV-1 (oHSV) treatment induces Notch signaling and myelosuppression in the tumor microenvironment (TME) of preclinical cancer models. Clinically, the Notch ligand JAG1 was upregulated in patients with recurrent high-grade glioma treated with the oHSV CAN-3110 and correlated with poor prognosis. To better understand endogenous JAG1-mediated signaling in glioma cells and tumor-associated macrophages (TAM), we engineered a JAG1-antagonizing oHSV (OD-0J1) and interrogated its impact on cancer and myeloid cells in the TME. OD-0J1 antagonized JAG1-mediated Notch signaling and suppressed tumor growth in athymic nude and humanized mice, an effect reliant on Notch signaling in tumor cells. Kinome profiling revealed that OD-0J1 treatment suppressed CDK1, resulting in activation of the G2-M cell cycle checkpoint. Cell cycle arrest led to senescence and correlated with increased reactive oxygen species, p62, and autophagosome accumulation and senescence-associated β-galactosidase activity. OD-0J1-induced senescence resulted in increased production of inflammatory chemokines and damage-associated molecular patterns (DAMP), such as IL1β, HMGB1, and extracellular ATP. Coculturing macrophages with OD-0J1-infected tumor cells led to stimulation of chemotactic and proinflammatory pathways, as well as increased Fc receptor activation. Single-cell RNA sequencing and flow cytometric analysis of F4/80+ cells isolated from tumors showed a shift from tumor-supporting TAMs to inflammatory macrophages upon OD-0J1 treatment. Heightened EGFR activation in senescent cells was a mechanism to escape cell death, which created a unique opportunity for cetuximab as a senolytic agent. Combination therapy reduced EGFR signaling and induced macrophage-mediated antibody-dependent cellular cytotoxicity, thereby increasing the antitumor therapeutic efficacy of OD-0J1. SIGNIFICANCE: Leveraging JAG1 antagonism in the context of oncolytic virotherapy rewires macrophage polarization within the tumor microenvironment, which has wide implications for sensitizing tumors to antibodies, senolytic agents, and BiTE therapies.

Humans↗