Biology subjects

Chen, G.

Publications and source records attributed to Chen, G..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

Leaf age modulates physiological and metabolic responses to contrasting nitrogen forms in Chinese fir (Cunninghamia lanceolata (Lamb.) Hook)

Atmospheric nitrogen (N) deposition is increasingly affecting global ecosystems, with nitrate contributing a growing proportion alongside ammonium. However, the interaction between N forms and leaf developmental stage in shaping physiological and metabolic strategies in Chinese fir remains poorly understood. In this study, a field experiment was conducted to explore the physiological and metabolic responses of young and old leaves to ammonium and nitrate N addition. Our findings showed that N addition enhanced photosynthetic performance in young leaves, with a stronger effect from nitrate. In contrast, old leaves exhibited limited photosynthetic response but accumulated higher non-structural carbohydrates and showed elevated N assimilation enzyme activities, particularly under nitrate addition. Phytohormone profiles varied between leaf ages, with young leaves having higher auxin levels while old leaves exhibiting increased abscisic and salicylic acid contents under N addition. Additionally, N addition induced differential reprogramming of amino acid metabolism, with age-dependent accumulation patterns. Metabolomic analysis identified key amino acids involved in coordinating carbon-nitrogen metabolism. These results highlighted the complementary metabolic strategies by young and old leaves of Chinese fir under contrasting N forms addition and emphasized the importance of considering both N form and leaf age in optimizing N management for sustainable plantation practices. HighlightsO_LINitrate enhanced photosynthesis in young Chinese fir leaves more effectively than ammonium. C_LIO_LIOld leaves prioritized C storage and N assimilation under N addition, especially nitrate. C_LIO_LIComplementary metabolic strategies between leaf ages optimized resource use under different N forms addition. C_LI

plant biology↗

bioRxiv2026

A plant-based biostimulant modulates grapevine susceptibility within a realistic water stress window through priming and phenylpropanoid pathway regulation

Fluctuating extreme weather events, coupled with rising average temperatures, can severely impact grapevine physiology and yield. While biostimulants have been gaining acceptance as a short-terms tools to enhance grapevine resilience, their adoption is hindered by inconsistent efficacy, partly driven by unpredictable plant stress levels. Over two contrasting seasons, we integrated physiological, transcriptomic, and metabolomic analyses to investigate how a plant-based biostimulant modulates the sensibility of Vitis vinifera under varying intensities of heat, drought, and their combination. This panel of water status, ranging from -0.02 to -1.6 MPa, revealed that the physiological response induced by the biostimulant treatment alleviates water stress within a field-relevant hydraulic window located between -0.4 and -1.2 MPa. Moreover, moderate but constitutive reduction of growth parameters in biostimulant plants, suggests a trade-off between vegetative development and abiotic stress responses. Accordingly, gene expression analysis revealed an interaction between water availability and the plant response to the biostimulant, which suggest an activation of priming mechanisms. Metabolic profiling supported these findings, highlighting the central role of phenylpropanoid pathway modulation, together with adjustments in ROS dynamics and stress-related hormone responses, particularly abscisic acid. Overall, this work emphasizes the need for integrating detailed plant water status and leaf gas exchange to accurately evaluate biostimulant performances under abiotic stress.

plant biology↗

bioRxiv2026

Stemona genomes illuminate fatty acid partitioning between seeds and elaiosomes mediating wasp dispersal

O_LISeed dispersal by wasps (vespicochory) is documented in five angiosperm families, with phylogenies suggesting that most vespicochorous lineages evolved from ant-dispersed (myrmecochorous) ancestors. While recent work has identified cues attracting wasp dispersers, the molecular basis remains unclear. C_LIO_LITo shed light on the molecular basis of vespicochory, we generated chromosome-level genomes for the wasp-dispersed Stemona tuberosa, and its close ant-dispersed relative S. mairei. Combining comparative genomic, transcriptomic, lipidomic, and functional analyses, we ask (i) how chemical elaiosome differentiation occurs during seed development, and (ii) how key mutualism-associated genes evolved in Stemona. C_LIO_LIWe show that elaiosomes up-regulate stearoyl-ACP {Delta}9 desaturases (SAD) and accumulate oleic acid and 1,2-diolein, which serve both as food rewards and as precursors for CER1/3-mediated biosynthesis of (Z)-9-tricosene, the key wasp attractant. By contrast, high expression of FatB and DGAT1 in seeds is associated with medium-chain fatty acids (MCFAs) production. Comparative genomics indicates conservation of these genes across Stemona, with S. tuberosa-specific FatB expansion and SAD/CER1/3 repertoire divergence. C_LIO_LIOur work supports a model for elaiosome-seed fatty-acid differentiation linking recruitment and nourishment in vespicochory. Given that oleic acid and 1,2-diolein are also key cues in myrmecochory, this shared biochemical basis may help explain how vespicochory evolves from ant-dispersed ancestors. C_LI

evolutionary biology↗

bioRxiv2026

Unveiling the taxonomic diversity and unprecedented biosynthetic treasure of the phylum Myxococcota

Natural products remain vital sources of therapeutics, particularly anti-infectives, and members of the phylum Myxococcota constitute an especially rich reservoir for their discovery. Based on decades of microbiological efforts, we present 154 new Myxococcota genomes and propose a revised taxonomy expanding the number of described families from 11 to 28 and genera from 32 to 90. Comparison with an equivalent set from the prime source Actinomycetota shows that Myxococcota possess a comparable biosynthetic diversity, underscoring their promise for large-scale isolation and sequencing efforts. The vast untapped potential reflected in 2,387 uncharacterized gene cluster families is highlighted by genome mining efforts, yielding four validated compounds exhibiting novel chemistry, including myxolutamids and myxopentacins. We show that many Myxococcota-derived natural products, such as myxolutamid A and two new sorangicin derivatives, are conserved within taxonomic lineages. New described families thus bear high biosynthetic potential underpinning the importance of precise taxonomic classification guiding targeted drug discovery.

microbiology↗

bioRxiv2026

Lmna deficiency promotes EPHX2 nuclear translocation to ameliorate cardiac dysfunction in mice

BackgroundCardiovascular diseases are often associated with altered protein subcellular localization. As a major cause of inherited cardiomyopathy, LMNA deficiency could trigger nuclear envelope rupture and broadly impair the localization of nuclear and cytoplasmic proteins. Systemic approaches to identify, dissect and manipulate the localization of endogenous proteins are important for mechanistic and therapeutic investigation. MethodProximity proteomics of the nuclear lamina was performed specifically in cardiomyocytes in Lmna-deficient murine models. AAV-mediated Cas9-based gene silencing and subcellular gene upregulation were conducted via the nuclear localization signal (NLS) and nuclear export signal (NES). Cas9-based somatic mutagenesis was supplemented with the single-strand DNA templates of AAV to achieve robust homology-directed repair (HDR) and targeted NLS knock-in, which translocated cytoplasmic proteins into nuclei. ResultIn vivo proximity proteomics detected increased epoxide hydrolase 2 (EPHX2) in cardiomyocyte nuclei in mice carrying germline or cardiac-specific Lmna truncating variants. This phenotype was associated with ruptured nuclear envelope. Cas9-mediated Ephx2 knockout in cardiomyocytes ameliorated cardiac dysfunction in Lmna-deficient mice. Strikingly, overexpression of NLS-EPHX2, but not NES-EPHX2, also mitigated cardiac dysfunction. The cardiac protective EPHX2 substrates, epoxyeicosatrienoic acids (EETs), did not alter upon NLS-EPHX2 overexpression. By contrast, the Lmna-related DNA damage marker {gamma}-H2AX was reduced. The EPHX-D333A mutant lacking hydrolase activity recapitulated the effects of wildtype EPHX2 in nuclei. AAV-Cas9-based HDR achieved efficient NLS knock-in and EPHX2 nuclear translocation in more than 60% cardiomyocytes, which improved cardiac function. ConclusionLmna deficiency leads to the nuclear translocation of EPHX2, which ameliorated cardiac dysfunction in a hydrolase-independent manner. AAV-HDR-mediated somatic gene editing provides an efficient approach to manipulate the subcellular localization of endogenous proteins in cardiomyocytes in vivo. What is Known?O_LICardiovascular diseases are regulated by the changes in protein subcellular localization. In particular, LMNA-related cardiomyopathy is associated with nuclear rupture and impaired separation between nuclear and cytoplasmic proteins. C_LIO_LIEpoxide hydrolase 2 (EPHX2) is a cytoplasmic hydrolase that catalyzes the hydrolysis of cardioprotective epoxyeicosatrienoic acids (EETs) and aggravates an array of heart diseases including myocardial infarction and heart failure. C_LIO_LICRISPR/Cas9-mediated homology-directed repair (HDR) exhibits uniquely high gene editing efficiency in cardiomyocytes with an AAV-based DNA donor, which is suitable for somatic genetic knock-in of small DNA fragments in vivo. C_LI What New Information Does This Article Contribute?O_LILamin-targeted proximity proteomics specifically in cardiomyocytes uncovers novel proteins undergoing subcellular localization changes upon Lmna deficiency. C_LIO_LILmna deficiency leads to EPHX2 nuclear translocation that ameliorates cardiac dysfunction by both mechanisms of cytoplasmic reduction and nuclear induction. C_LIO_LIAAV-HDR-mediated knock-in provides a robust platform to manipulate subcellular localization of endogenous proteins specifically in cardiomyocytes in vivo. C_LI Cardiovascular diseases are often associated with altered protein subcellular localization, but systemic approaches to identify, study and manipulate subcellular localization remain incomplete. This study established an in vivo proximity proteomics approach to identify novel proteins undergoing localization changes relative to the nuclear lamina. In murine models of LMNA-related cardiomyopathy, this approach uncovered EPHX2, a classic cytoplasmic hydrolase that aggravates cardiovascular diseases, as a new protein that translocated into cell nucleus and exerted a cardiac protective effect. CRISPR/Cas9-based cardiomyocyte gene editing with an AAV-based DNA donor efficiently achieved NLS knock-in into the Ephx2 gene, promoted EPHX2 protein nuclear translocation and mitigated cardiac dysfunction with Lmna deficiency. These findings indicated a novel avenue to identify and manipulate the subcellular localization changes of endogenous proteins for basic and translational cardiology.

pathology↗

bioRxiv2026

Synergistic integration of inducible RNA switches enhances the manipulation of vector expression

Precise manipulation of gene expression is pivotal for gene function studies and the optimization of gene therapy. RNA-based gene switches are attractive tools due to their robust tunability by FDA-approved small molecules, the absence of exogenous immunogenic proteins, and the small size for gene delivery vectors such as adeno-associated virus (AAV). However, existing RNA switches only target a single step of gene expression such as transcription or RNA splicing, exhibiting intrinsic limitations in gene regulation. To overcome this issue, this study integrated the aptamer-based polyA regulator (pA), the drug-elicitable alternative splicing module (DreAM) and an engineered translation modulator with conditional upstream open reading frames (uORFs) to construct the DreAM-plus RNA switch. The pA-DreAM concatenation led to 1.5[~]5.0-fold and 1.2[~]4.4-fold increase of inducible fold changes than pA and DreAM, respectively. The uORF module further enhanced the switching performance by 1.4[~]6.3-fold. DreAM-plus-mediated transient transgene expression demonstrated a temporal resolution of about 24 hours and high tissue specificity to liver or heart. Critically, DreAM-plus achieved transient expression of an array of gene editors (SpCas9, SaCas9, Un1Cas12f1, OsCas12f1, AcCas12n, IsDra2 TnpB etc.) that significantly mitigated off-target effects by 1.4[~]2.8 folds in plasmids, lentivirus and AAV. In a new mouse model with lipid-nanoparticle-delivered pre-existing immunity, DreAM-plus attenuated AAV-delivered Cas-specific CD8 T cell immune toxicity in the liver and the heart. Therefore, multiple RNA switches could be synergistically integrated to build more sophisticated genetic cassettes for enhanced manipulation of gene expression.

bioengineering↗

bioRxiv2026

AI-driven discovery and engineering of human endogenous nanocage proteins for mRNA delivery

Safe and effective gene delivery remains a central challenge for therapeutic applications. While non-viral and viral vectors have enabled substantial progress, their reliance on non-human components often triggers immune responses, limiting their use in chronic treatments. Here, we developed DeepDelivery, an artificial intelligence-driven platform to repurpose human proteins for mRNA delivery. An unbiased screening of the human proteome nominated 512 candidates, with experimental validation confirming that 80% of top-ranked hits form mRNA-encapsulating particles and mediate efficient functional delivery in human cells without provoking detectable inflammation. Notably, multiple tripartite motif (TRIM) family proteins, typically linked to antiviral responses, exhibited strong assembly and delivery activity. Quantitative analysis and interpretation of the model revealed structural domains that govern nanocage formation, enabling domain-guided engineering of TRIM25 variants with enhanced function. Our work establishes a generalizable framework for discovering human-derived delivery vehicles and provides a path toward programmable, non-immunogenic mRNA therapeutics.

synthetic biology↗

bioRxiv2026

Liquid-liquid phase separation of tau regulates client binding via a conformational relay

Intrinsically disordered proteins (IDPs) achieve functional specificity through dynamic, multivalent interactions that are often reorganized during liquid-liquid phase separation (LLPS). How LLPS reshapes IDP conformational landscapes and binding preferences remains poorly understood. Here, we combine native ion mobility mass spectrometry, mass photometry, fluorescence microscopy, and computational modeling to dissect how conditions that promote LLPS of the intrinsically disordered human tau protein regulate its interactions with tubulin and the neuronal anti-amyloid chaperone domain BRICHOS from Bri2. We show that electrostatically driven compaction and transient oligomerization of tau during LLPS promote BRICHOS binding to a specific Tau segment. Within tau condensates, BRICHOS can compete with tubulin for tau interactions by blocking its adjacent binding site, thereby modulating LLPS-dependent microtubule assembly. Using a generalizable experimental strategy, we provide a proof of concept for detecting conformational selectivity in a dynamic condensate.

biophysics↗

bioRxiv2026

Retrograde transduction of dopaminergic cells in substantia nigra of rhesus monkey

Neuromodulatory systems regulate neural circuits across broad regions of the brain, and disruption of the dopaminergic system contributes to psychiatric and neurodegenerative disorders. Engineered viral vectors have been used to target the neuromodulatory systems of the nonhuman primate brain (Y. Chen et al., 2023; El-Shamayleh et al., 2016; Gray et al., 2010; Lerchner et al., 2014; Perez et al., 2022). However, a conspicuous obstacle to the isolation and modulation of specific pathways is the inability of many retrogradely infecting viruses to transduce dopaminergic (DA) cells efficiently (Tervo et al., 2016; Cushnie et al., 2020; Weiss et al., 2020). We compare the DA neuron retrograde transduction efficacy of four viral vectors after injection into the striatum of nonhuman primates (NHP). Selectivity was assessed by comparing the neuronal co-expression of fluorescent reporter protein and tyrosine-hydroxylase (TH) antibody in substantia nigra pars compacta (SNc). The rabies pseudotyped lentiviral vector, FuG-B2, produced superior retrograde transduction of DA cells to FuG-C or FuG-E. AAV2.retro was the least effective.

neuroscience↗

bioRxiv2026

Reactive Astrocytes Drive Extracellular Acidification to Mediate α-Synuclein Neurodegeneration

Astrocytes are increasingly recognized as key players in neurodegeneration1-3, yet the molecular mechanisms by which they drive disease remain elusive. Here, we uncover a fundamental pathway in which reactive astrocytes fuel neurodegeneration in -synucleinopathies--including Dementia with Lewy bodies and Parkinsons disease dementia--by acidifying the brains extracellular environment. We demonstrate that both human patient tissue and a gut-to-brain -synuclein mouse model exhibit accumulation of reactive astrocytes and extracellular acidosis. Mechanistically, we show that astrocytic lysosomal exocytosis releases acidic contents, driving a drop in pH that activates neuronal acid-sensing ion channel 1a (ASIC1a), resulting in neuronal loss and behavioral decline. Blocking this pathway--either by inhibiting astrocytic lysosomal exocytosis or genetically or pharmacologically targeting neuronal ASIC1a--mitigates pathology and rescues neurodegenerative phenotypes in vivo. These findings provide a conceptual advance by establishing a mechanistic link between glial inflammation, acid-base homeostasis, and neuronal vulnerability, and suggest that targeting astrocyte-driven acidification or ASIC1a signaling could offer new avenues for disease modification in -synucleinopathies.

neuroscience↗

bioRxiv2026

A comprehensive analysis of flagellar mutations in Vibrio cholerae: Trade-off mechanisms between motility loss and host adaptability

IntroductionCholera, caused by Vibrio cholerae, is a severe diarrheal disease threatening global health. The flagellum of V. cholerae functions not only for motility but also as an environmental sensor regulating virulence. The trade-off mechanism between motility loss and enhanced host adaptation remains unclear. ObjectiveThis study aimed to elucidate how flagellar mutations, which lead to a loss of motility, affect host adaptability in V. cholerae and to uncover the underlying molecular basis. MethodsWe analyzed 3,135 cholera-related samples to identify mutation hotspots in flagellar genes. A relevant flagellar mutant library was constructed and assessed for host adaptability. Multiple approaches, including molecular, genetic, transcriptomic, and proteomic analyses, were applied to dissect the FlgM-mediated pathway, with key findings revalidated in an adult mouse model using a specifically constructed 6N-labeled mutant pool. ResultsBig data analysis reveals those flagellar mutations in V. cholerae cluster in key structural and regulatory genes, including flhB, fliA, fliF, fliD, and fliM. Flagellar mutations led to a scenario where the secretion level of the regulator FlgM was negatively correlated with host adaptability. Intracellular FlgM inactivates either the {sigma}28 factor FliA directly or acts through the VarS/VarA-CsrA/BCD system, ultimately leading to the derepression of the quorum-sensing master regulator named hapR. HapR can directly bind to the promoters of genes involving in methionine transportation to regulate adaptability of V. cholerae. The 6N-labeled mutants pool experiment reconfirmed that motility loss promotes host adaptability via the FlgM-FliA-HapR-methionine axis. ConclusionOur findings demonstrate that secretion levels of the flagellar regulator FlgM drive an adaptive shift in V. cholerae from motility to host adaptability, mediated through quorum sensing and methionine metabolic reprogramming. This reveals a novel mechanism underlying bacterial evolution and pathogenicity.

microbiology↗

bioRxiv2025

Multimodal AI for Single cfDNA Profiling and Cancer Screening

Cell-free DNA (cfDNA) serves as a non-invasive biomarker for cancer detection, but conventional methods face challenges due to the ultra-low abundance of tumor-derived cfDNA (ctDNA) among normal cfDNA. Though nucleosome-bound cfDNA harbors rich epigenomic features that could enable ctDNA identification by single-molecule multi-omics cross-validation, this remains unexplored due to methodological limits. Here, we developed a cfDNA sequencing approach integrating methylation, fragmentomics, and histone modifications at the single-molecule level; together with gene semantics and epigenomic annotations, these modalities were vectorized and fused to represent each cfDNA molecule. We trained a Transformer-based model (cfAI) to profile and evaluate ctDNA likelihood at molecule, gene, and sample levels. cfAI achieved [~]10-fold enrichment of cancer-derived signals over noise and reached 72.6% sensitivity at 93.1% specificity for multi-cancer detection. Our study establishes an innovative framework that overcomes the inherent signal-to-noise limitations of conventional assays and reveals biological features at molecular resolution for cancer detection.

bioinformatics↗

bioRxiv2025

Temporal boundary gating of auditory sensitivity

Perception unfolds over time, but whether continuous sounds are sampled with uniform sensitivity is unknown. We combine human psychophysics, EEG and rodent neurophysiology to show that local auditory change detection is strongly gated by stimulus boundaries. In humans, brief perturbations inserted at different temporal positions within 0.5-1-s tones revealed an inverted U-shaped sensitivity profile: detection was attenuated near sound onset and offset and maximal mid-epoch, with EEG change responses showing a closely matching dependence on change timing. Electrocorticography in awake rats exhibited homologous temporal weighting, and analogous profiles for amplitude changes and visual motion demonstrated cross-feature and cross-modal generality. To uncover circuit mechanisms, we recorded single units along the inferior colliculus-medial geniculate body-auditory cortex pathway together with laminar local field potentials in A1. Onset-locked suppression of change responses emerged in midbrain and was progressively amplified in thalamus and cortex, whereas the full start-end profile was expressed in granular-layer alpha-gamma power. A simple biophysically grounded model in which onset responses saturate and cortical populations integrate over finite temporal windows recapitulates this pattern, explaining how stimulus boundaries disrupt prospective and retrospective integration and thereby degrade change detection near the beginning and end of sounds.

neuroscience↗

bioRxiv2025

The Hemodynamic Response Function Varies Across Anatomical Location and Pathology in the Epileptic Brain

The hemodynamic response function (HRF) links neuronal activity to functional magnetic resonance imaging (fMRI) signals. While most fMRI studies use a "canonical" HRF, increasing evidence from studies of healthy subjects suggests that the HRF depends on anatomical location and disease states. Here, we investigate how HRF variability relates to anatomical location and pathology in the epileptic brain, using a large simultaneous electroencephalogram and fMRI dataset. Applying HRF deconvolution and temporal decomposition, we built the first whole-brain HRF library specific to epilepsy, identifying four distinct shape groups. We mapped HRF features across parcellations of two atlases using novel Bayesian hierarchical models. In non-epileptogenic regions, HRF shape and spatial distributions align with findings from healthy subjects. Within pathological regions, they vary significantly according to pathology. Our results indicate that HRF variability is associated with pathology, in addition to its dependence on anatomical location, motivating region- and pathology-based HRF modulation in epilepsy studies.

neuroscience↗

bioRxiv2025

scProtoTransformer: Scalable Reference Mapping Across Molecules, Cells and Donors

The rapid accumulation of single-cell data has made it possible to comprehensively characterize biological systems at molecular, cellular, and donor levels. However, scalable reference mapping across different resolutions remains a major challenge in current research. Here, we propose scProtoTransformer, a prototype-based Transformer architecture designed to achieve scalable reference mapping across molecular, cell, and donor levels. scProtoTransformer introduces a knowledge-guided prototype tokenizer that projects gene expression into biologically interpretable pathway prototypes, effectively reducing numerical batch effects while preserving biological semantic patterns. Furthermore, by leveraging knowledge distilled from the foundation model and a dynamic supervised fine-tuning strategy, scProtoTransformer achieves robust biological representations with reduced pre-training requirements. Benchmark experiments across molecular, cell, and donor-level reference mapping demonstrate that scProtoTransformer delivers competitive or even superior performance compared with state-of-the-art approaches, while providing interpretability through biologically prototypes. Together, these results establish scProtoTransformer as a unified framework for scalable reference mapping, laying the foundation for systematic understanding from genes to individuals.

bioinformatics↗

bioRxiv2025

AlphaFold3 for Structure-guided Ligand Discovery

Deep-learning methods for protein structure prediction, such as AlphaFold2 (AF2) and RosettaFold (RF), have transformed structural biology and accelerated downstream biological discovery. More recent models, including AlphaFold3 (AF3) and RosettaFold All-Atom (RFAA), extend this capability to protein-ligand co-folding, enabling direct prediction of bound complexes from sequence and ligand inputs. This advance has raised the possibility that such models could function not only as structure predictors but also as AI-based molecular docking engines for virtual screening. Yet their true impact on ligand discovery remains unclear and, in many cases, controversial. Here, we systematically assess AF3 co-folding across tasks central to small-molecule discovery compared to conventional molecular docking. First, retrospective enrichment of actives over decoys showed that AF3 outperforms the physics-based docking program DOCK3 across 43 drug targets in DUDE-Z; however, this advantage is largely driven by hidden ligand-only biases inherent to computational decoy sets. In contrast, in three large experimental datasets (the sigma-2 receptor ({sigma}2), the D4 dopamine receptor (D4), AmpC {beta}-lactamase (AmpC)) with over 2,500 tested molecules that lack such biases, DOCK3 achieved stronger overall enrichment, while AF3 contributed mainly to early enrichment. Second, out-of-sample pose reproduction on >8,000 protein-ligand complexes deposited after the AF3 training and validation cutoff showed that AF3 accuracy is strongly dependent on training-set similarity, indicating that the model memorizes atomic positions more than learning general principles of molecular recognition. Finally, in the first prospective head-to-head screen against the {sigma}2 receptor, novel to AF3s training set, AF3 achieved a 13% hit rate and identified a 13 nM binder directly from the screen. However, compared with the parallel DOCK3 campaign, AF3 delivered a two-fold lower hit rate, despite yielding a similar affinity distribution among the top five hits. A crystal structure of the {sigma}2 receptor bound to the most potent AF3-derived hit confirmed that AF3 produced a near-native ligand pose. AF3 therefore represents the beginning of deep-learning-based structure-guided ligand discovery: a complementary tool rather than a replacement for conventional docking, with practical applications both as a screening engine and as a post-docking filter that improves hit rates. More broadly, this work establishes a framework for evaluating next-generation deep-learning co-folding models and quantifying their impact on small-molecule discovery.

pharmacology and toxicology↗

bioRxiv2025

Mechanistic Investigation of LncRNA-ZMIZ1-AS1 in the Malignant Phenotype of Hepatocellular Carcinoma

BackgroundHepatocellular carcinoma (HCC) is one of the most fatal cancers worldwide, with high recurrence and mortality rates. LncRNA-ZMIZ1-AS1 has attracted considerable attention for its role in the tumor microenvironment, particularly in the regulation of HCC cell growth, invasion, and biological behavior. However, the specific mechanisms of LncRNA-ZMIZ1-AS1 in HCC remain unclear. MethodsWe analyzed the relationship between LncRNA-ZMIZ1-AS1 and HCC clinical prognosis using bioinformatics with GEO and TCGA datasets. We also conducted molecular biology experiments, including cell culture, real-time PCR, and Western blotting, as well as cell viability and flow cytometry analyses, to investigate the effects of LncRNA-ZMIZ1-AS1 knockdown on HCC cell proliferation, migration, invasion, and apoptosis. Furthermore, we used Gene Set Enrichment Analysis (GSEA) to identify potential signaling pathways involving LncRNA-ZMIZ1-AS1. ResultsLncRNA-ZMIZ1-AS1 was highly expressed in HCC patients and significantly associated with clinical characteristics, such as gender and clinical stage. Knockdown of LncRNA-ZMIZ1-AS1 notably inhibited HCC cell proliferation, migration, and invasion while increasing apoptosis rates. Additionally, GSEA suggested a potential association between high LncRNA-ZMIZ1-AS1 expression and the NOTCH signaling pathway. ConclusionThe high expression of LncRNA-ZMIZ1-AS1 in HCC likely promotes malignant phenotypes by regulating signaling pathways such as NOTCH. This finding underscores its potential as a biomarker for HCC, providing a theoretical basis for further research on its molecular mechanisms and clinical applications in liver cancer.

molecular biology↗

bioRxiv2025

A programmable mRNA platform for miRNA detection via miRNA-mRNA2 triplex-mediated ribosomal frameshifting

Programmed -1 ribosomal frameshifting (-1 PRF) is a recoding mechanism utilized by viruses to expand their coding capacity and modulate the stoichiometric ratio of -1 frame and 0 frame translation products. The stability of mRNA secondary structure at the ribosomal entry site within the frameshifting stimulating elements (FSEs) determines the frameshifting efficiency. Here, we report the development of a programmable mRNA-based platform that detects specific mature microRNA (miRNA or miR) by converting their presence into a quantifiable protein output through miRNA-triggered -1 PRF. We designed a triplex-forming mRNA (TF-mRNA) platform to selectively trap target miRNAs through the formation of major-groove mRNA-miRNA-mRNA (miR-mRNA2) triplexes. Bio-layer interferometry and fluorescence binding studies confirmed that TF-mRNA forms stable complexes with cognate miRNAs with low nanomolar affinity and prolonged dissociation rate. Critically, the formation of miR-mRNA2 triplex robustly stimulated ribosomal frameshifting in a cell-free dual-luciferase translation system, acting as a miRNA-dependent molecular switch. The generality of this TF-mRNA platform has been verified for several disease-associated purine-rich miRNAs, and it is suitable for targeting a wide range of other purine-enriched miRNAs. This programmable TF-mRNA platform establishes a foundation for developing novel diagnostic tools and synthetic biology circuits that convert the presence of miRNA into a quantifiable protein output. TOC Figure O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/690164v1_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@1d6d9f7org.highwire.dtl.DTLVardef@8008e6org.highwire.dtl.DTLVardef@1c8344borg.highwire.dtl.DTLVardef@e153ec_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗