Biology subjects

Su, J.

Publications and source records attributed to Su, J..

At least 55 records · Page 3Linked to original sources

bioRxiv2025

Network pharmacology, bioinformatics, molecular docking and experimental verification of the mechanism of HXZTS treatment on osteoarthritis synovium

BackgroundOsteoarthritis (OA) is a prevalent joint disease characterized by synovial inflammation and synovial fibroblast dysfunction. Elucidating the molecular mechanisms underlying synovial tissue impairment in OA is crucial for developing targeted therapeutic interventions. Huoxuezhitongsan (HXZTS), a traditional Chinese medicine formula, has shown promising therapeutic effects in treating OA, but its mechanisms of action on synovial tissue remain unclear. MethodThis study integrated network pharmacology, bioinformatics analysis, molecular docking, and experimental validation to elucidate the potential targets, pathways, and mechanisms by which HXZTS exert therapeutic effects on osteoarthritic synovial tissue. ResultsNetwork analysis identified 21 active ingredients and 111 common targets of HXZTS for OA, with key compounds like quercetin, {beta}-sitosterol, and stigmasterol. Enrichment analysis revealed HXZTS modulates inflammation through TNF, IL-17, and MAPK signaling pathways, oxidative stress, apoptosis, angiogenesis, and metabolic regulation. Molecular docking demonstrated strong binding affinities of HXZTS compounds with targets like AKT1, TNF, TP53, IL6, and VEGFA. RT-qPCR validation confirmed the downregulation of inflammatory mediators like IL6 and PTGS2, alongside the upregulation of genes associated with potential cartilage repair effects, such as MMP1 and MMP3, upon HXZTS treatment. ConclusionsHXZTS exerts therapeutic effects on osteoarthritic synovial tissue through a multifaceted mechanism involving modulation of inflammation, oxidative stress, apoptosis, angiogenesis, and metabolic regulation. These findings provide insights into the potential application of HXZTS as a complementary or alternative therapeutic approach for managing OA and a foundation for developing novel targeted therapies.

bioinformatics↗

bioRxiv2025

PRIME: A Multi-Agent Environment for Orchestrating Dynamic Computational Workflows in Protein Engineering

Artificial intelligence (AI) is revolutionizing protein engineering, yet its practical application is often hindered by a fragmented toolchain and the specialized expertise required to orchestrate complex computational workflows. To address these challenges, we have developed PRIME, an autonomous protein engineering multi-agent system. The core innovation of PRIME is dynamic workflow synthesis: it interprets high-level engineering objectives, reasons over a curated library of more than 65 validated protein tools, and autonomously constructs custom computational pathways. Crucially, by grounding every step in verifiable tool execution, PRIME mitigates the risk of model hallucination. It also automates the complete pipeline for developing specialized AI models, from data acquisition through training. In a benchmark of 213 multi-step protein engineering tasks, PRIME exhibited superior performance, successfully completing the majority of tasks where state-of-the-art, general-purpose AI agents fail. We validated its capabilities in demanding real-world applications, including the fully autonomous training of a machine learning classifier and the de novo design of a therapeutic antibody against SARS-CoV-2. By abstracting technical complexity, PRIME empowers scientists to execute sophisticated computational experiments with unprecedented flexibility, establishing a new paradigm for autonomous scientific discovery. The PRIME agent and source code will be made publicly available.

bioinformatics↗

bioRxiv2025

GLIS3 Marks a Neural-like Progenitor Cell State that Drives Metastasis in Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) has a high rate of recurrence and metastasis despite intensive therapy. The neural-like progenitor (NRP) transcriptional program is enriched in residual disease after neoadjuvant chemotherapy and radiotherapy; however, the mechanisms for increased NRP expression in the post-treatment setting remain unclear. Here, we find that NRP signatures are strongly enriched in tissue injury and regeneration, and NRP cancer cells co-express transcription factors involved in pancreatic development. We identify both cell autonomous and ligand mediated mechanisms for inducing NRP expression in vitro. We establish and characterize isogenic mouse organoid overexpression models for transcription factors associated with the NRP, classical, and basal-like states. We discovered that Glis3 is a key NRP-associated transcription factor that drives malignant properties including greater clonogenicity, tumor growth, and metastasis compared to isogenic models for the classical and basal-like states. Our work highlights the emergence of clinically relevant developmental regeneration programs in the post-treatment context.

cancer biology↗

bioRxiv2025

Optimizing C14120-based LNPs for in vitro and in vivo mRNA delivery

Lipid nanoparticles (LNPs) have proven to be an effective delivery system for RNA therapeutics. The chemical composition of LNPs determines their functional delivery efficiency and targeting properties, which vary between in vitro and in vivo contexts. Here, we have systematically characterized and compared twenty-five novel C14120-based LNP formulations for mRNA delivery in vitro and assessed in vivo mRNA expression and biodistribution using deep sequencing of DNA barcodes in a pooled LNP-mRNA library. In vitro experiments showed correlations of lipid composition with particle size and mRNA transfection efficiency in 4 different cell lines of distinct tissue and species origin. In vivo experiments employed a pooled LNP delivery of luciferase mRNA in combination with a multiplexed barcode system, revealed strong mRNA expression after 6 hours and identified LNP compositions with organ-specific targeting properties. Individual validation of three selected LNP candidates based on mRNA expression analysis confirmed high specificity for the lung-targeting candidate, lower specificity for the liver-targeting candidate, and inconclusive results for the spleen-targeting candidate. These findings identify LNP formulations with promising potential for in vitro and in vivo organ-targeted delivery.

bioengineering↗

bioRxiv2025

The Pdgfd-Pdgfrb axis orchestrates tumor-nerve crosstalk in pancreatic cancer

Nerves are an integral component of the tumor microenvironment, contributing to cancer progression, metastasis, morbidity, and mortality. In pancreatic ductal adenocarcinoma (PDAC), worse clinical outcomes are associated with perineural invasion (PNI), a process by which cancer cells surround and invade nerves. Here, we employed whole-transcriptome and single-cell spatial transcriptomics to identify candidate tumor-nerve interactions that promote PNI. We discovered that Pdgfd signaling promotes key features of nerve invasion. Mechanistically, Pdgfd stimulated cancer cell invasiveness, neurite outgrowth, and direct physical engagement with glia. Pharmacological blockade of this axis reduced each of these processes in vitro as well as PNI in vivo. Thus, Pdgfd-Pdgfrb signaling mediates PNI by coordinating multifaceted cancer-neuron-glia interactions and represents a promising therapeutic strategy aimed at disrupting harmful cancer-nerve crosstalk.

cancer biology↗

bioRxiv2025

Data-driven dynamic modelling identifies polyploidisation as key process in cell cycle progression upon DNA damage

Chemotherapeutic agents often cause DNA damage in order to kill fast-dividing cancer cells or disrupt their proliferation. Therefore, understanding the interplay between DNA damage and cell cycle progression is highly relevant for understanding cancer cell behaviour. An important regulator is transcription factor p53, primarily known for its function to maintain genomic stability, regulate transient and permanent cell cycle arrest and apoptosis. Activated p53 transcriptionally regulates the expression of many proteins, among which are MDM2, p21 and BTG2. MDM2 functions as a direct inhibitor of p53 by targeting it for ubiquitination. The proteins p21 and BTG2 are known for their regulatory function in G1 and G2 cell cycle arrest. Using HepG2-FUCCI cells, we showed that exposure to cisplatin or etoposide caused a temporary G2 arrest. To study the link between protein expression and cell cycle arrest, we developed a mathematical model in which we integrated a previously established model for the protein expression dynamics of p53, MDM2, p21 and BTG2 with a cell cycle model. This allowed us to determine the importance of p21 and BTG2 in their stimulation of G1 and G2 cell cycle arrest. We found that the protein dynamics could predict the G2 cell cycle arrest in exposed cells, but only in combination with endoreplication, i.e., the alternation of S and G phases without mitosis, resulting in polyploid cells. Our model predicted that the majority of cells endoreplicate upon exposure to high concentrations of cisplatin and most concentrations of etoposide, which we validated with additional time-lapse imaging data in which we could track individual cells. In conclusion, polyploidisation is a generic response of HepG2 cells after treatment with DNA-damaging compounds.

systems biology↗

bioRxiv2025

Disease-associated genetic variants can cause mutations in tissue-specific protein isoforms

Genetic variants can cause protein-coding mutations that result in disease. Variants are typically interpreted using the reference transcript for a gene. However, most human multi-exon genes encode alternative isoforms. Here, we show that coding exons in alternative isoforms harbour more population variants than exons of reference isoforms, consistent with their reduced evolutionary constraint, and that these variants are more likely to cause nonsynonymous coding mutations. Common and rare disease-associated variants mapping to alternative transcripts can lead to amino acid substitutions predicted to be structurally damaging in the corresponding protein isoform. The alternative transcripts to which disease-associated variants map demonstrate high tissue-specific expression, with many unannotated in reference human genomes, revealed only by long-read RNA-sequencing. As an example, we report an unannotated alternative transcript of the inflammasome regulator DPP9 that is lung epithelium-specific and which harbours a common genetic variant associated with severe COVID-19 and lung fibrosis. The variant causes a p.Leu8Pro missense mutation in an alternative first exon, predicted to disrupt the encoded alpha helix. These findings highlight the importance of considering alternative isoforms, their tissue-specific expression, and full-length transcripts in variant interpretation, with implications for uncovering underappreciated mechanisms of both common and rare disease.

genomics↗

bioRxiv2025

Distinct malignant cell states and myeloid glutamate signaling associated with aggressive pancreatic neuroendocrine tumors

Pancreatic neuroendocrine tumors (PNET) are rare malignancies of the endocrine pancreas with diverse clinical outcomes. While some PNETs are indolent, others are aggressive and metastasize quickly. However, clinically-relevant molecular stratification for PNET to predict outcomes and guide therapeutic decision-making is limited. Thus, there is an urgent need to understand the molecular heterogeneity of PNETs to refine prognostication and discover novel therapeutic vulnerabilities. We performed single-nucleus RNA sequencing on resected primary and metastatic PNETs (n = 20), including two PNETs with neoadjuvant treatment. We inferred gene expression programs (GEPs) of malignant and non-malignant cells and investigated associations with clinical outcomes. Next, we inferred interactions in the tumor microenvironment (TME) and performed transwell assays for functional validation. Finally, we explored genomic and transcriptomic evolution in a unique case study of an untreated primary PNET with two asynchronous hepatic metastases. A malignant GEP enriched for neural/synaptic signaling genes was associated with worse overall survival, broad chromosomal loss of heterozygosity, and alternative lengthening of telomeres. Another malignant GEP enriched for VEGF signaling increased throughout metastatic progression in our case study. We found that macrophage-derived glutamate drives polarization towards an immunosuppressive phenotype and activates the MAPK/ERK pathway in malignant cells to increase migratory capacity. This study provides a detailed single-nucleus transcriptomic classification of malignant, stromal, and immune cell types and states in PNETs, their interactions in the TME, and associations with clinical outcomes. The refined molecular taxonomy of PNET may guide the development of more efficacious biomarkers and therapeutic strategies.

cancer biology↗

bioRxiv2025

Integrated metagenome-resolved profiling of the resistome, virulome, and mobilome in the gut microbiota of wild birds

Wild birds, with their extensive geographic distributions and high mobility, are increasingly recognized as important players in the dissemination of antimicrobial resistance. Their gut microbiota, shaped by exposure to diverse environments, may act as both reservoirs and vectors of antibiotic resistance genes (ARGs), virulence factor genes (VFGs), and mobile genetic elements (MGEs). In this study, we reconstructed 2,516 high-quality metagenome-assembled genomes (MAGs) from 718 gut metagenomes of wild birds to comprehensively profile their resistome and virulome. We identified 5,596 ARG-encoding proteins across 389 distinct ARG types, with multidrug resistance emerging as the most dominant category. Escherichia coli was the principal carrier of ARGs, and genes conferring resistance to elfamycin antibiotics via target alteration were notably widespread--indicating persistent antibiotic selection pressures in avian habitats. Co-occurrence analyses revealed extensive genetic linkage between ARGs, VFGs, and MGEs. Critically, we detected 25 ARG-MGE co-localization events within 5-kilobase genomic regions, highlighting a strong potential for horizontal gene transfer and accelerated resistance dissemination within microbial communities. Of particular concern was the detection of the tetX1 gene--conferring resistance to tigecycline, a last-resort antibiotic--in the gut microbiota of Chroicocephalus ridibundus and Cygnus cygnus. This finding strongly implicates anthropogenic pollution in the spread of clinically relevant ARGs into wildlife and emphasizes the risk of environmental transmission to other hosts, including humans. These results underscore the critical ecological role of wild birds in the global antimicrobial resistance network. As both reservoirs and potential vectors of ARGs, they represent a significant but under-monitored interface between environmental and clinical resistance pathways. Enhanced surveillance and mitigation strategies targeting wildlife are urgently needed to curb the environmental propagation of antimicrobial resistance.

microbiology↗

bioRxiv2025

Metagenomic analysis of antimicrobial resistance, virulence, and mobile genetic elements in the gut microbiota of Caprinae species

The gut microbiota of livestock serves as a reservoir for antimicrobial resistance (AMR), yet Caprinae species remain understudied in this context. In this comprehensive metagenomic study, we analyzed 779 gut samples from Caprinae animals and reconstructed 17,023 high-quality metagenome-assembled genomes (MAGs). From these, we identified 4,685 antimicrobial resistance genes (ARGs) and 5,401 virulence factor genes (VFGs). Escherichia coli emerged as a major host carrying high burdens of both ARGs and VFGs. Strong positive correlations between ARGs, VFGs, and mobile genetic elements (MGEs) suggest potential co-selection and genetic linkage. Although MGEs were found in only 1.45% of MAGs, 23 ARGs were physically co-located with MGEs, indicating mobility potential. Additionally, three ARGs were embedded within viral genomes, two of which were associated with Myoviridae phages and one with an unclassified viral source, implicating phages in AMR dissemination. Comparative analyses revealed 292 ARG types shared between Caprinae and the human gut microbiota, including 20 genes representing six clinically critical resistance types: tetX1, tetX4, tmexD3, vanD, vanR, and vanS--conferring resistance to tigecycline, vancomycin, and polymyxins. These findings expand our understanding of the resistome and virulome in Caprinae animals and highlight potential zoonotic transmission pathways, underscoring the need for targeted AMR surveillance and mitigation strategies.

microbiology↗

bioRxiv2025

A Compact Two-Photon Module for Simultaneous Dual-Depth, Multi-Region in vivo Brain Imaging

Understanding how distributed brain regions interact across cortical depths is crucial for uncovering the neural basis of behavior and cognition. Two-photon microscopy (2PM) excels at imaging the superficial layer, while three-photon microscopy (3PM) penetrates deep tissues but lacks sufficient speed for capturing fast superficial dynamics. Here, we present a compact two-photon imaging module (2PIM) that seamlessly integrates with existing 3PM to achieve simultaneous, high-speed imaging of superficial and deep brain regions, while preserving the deep tissue penetration of 3PM. This dual-modality system allows for remote and independent control of imaging planes in both axial and lateral dimensions. Leveraging this technology, we discovered context-dependent modulation of hippocampal CA1 and visual cortex responses to identical tactile stimuli, layer-specific temporal dynamics in sensory cortex during air puff stimulation, and depth-divergent neuronal activity patterns in motor cortex across acute-to-chronic pain. These results highlight the systems potential for dissecting the spatiotemporal coordination of distributed brain circuits.

bioengineering↗

bioRxiv2025

Perplexity as a Metric for Isoform Diversity in the Human Transcriptome

Characterizing the extensive isoform diversity revealed by long-read RNA-sequencing remains challenging. After removal of technical artifacts, existing pipelines apply arbitrary expression thresholds that filter out bona fide transcript structures, misrepresenting diversity and hindering reproducibility. Instead of discarding isoforms, we propose a fundamentally distinct approach to quantifying isoform diversity using perplexity-the effective number of isoforms for a gene, derived from Shannon entropy-wherein every isoform, including low-abundance ones, contributes proportionally to a genes diversity. Analyzing 124 ENCODE4 PacBio datasets spanning 55 human cell types, we show that perplexity provides interpretable and reproducible isoform diversity measurements across genes, regulatory levels, and tissues.

genomics↗

bioRxiv2025

Multi-omics analyses reveal the effect of DNA methylation on iridoid glycosides biosynthesis in Rehmannia glutinosa

Rehmannia glutinosa roots produce a group of lipophilic bioactive components known as iridoid glycosides. However, the molecular mechanisms by which DNA methylation regulates the biosynthesis of iridoid glycosides in R. glutinosa remain unknown. Herein, the development of R. glutinosa roots and the content of iridoid glycosides in the Wenxian region were significantly higher than those in Xinxiang. Low methylation level contributed to the accumulation of iridoid glycosides and the expression of related enzyme genes. Demethylation promoted both roots growth and development, as well as the accumulation of iridoid glycosides. Up-regulated RgALDH13, RgHDR1, RgG10H4, RgDXR1, RgG10H3, and RgUPD1, along with transcription factors (TFs), form the regulatory network for the biosynthesis of iridoid glycosides. Furthermore, the primary active region of the RgG10H4 promoter is located in the -164 bp region, where the RgMYB2 protein specifically binds to the TAACCA motif in the RgG10H4 promoter. Collectively, low levels of DNA methylation enhance the expression of core genes, followed by inducing the accumulation of iridoid glycosides, which suggests that RgMYB2-RgG10H4 plays a positive role in this process. These findings will contribute to a deeper understanding of the role of DNA methylation in the accumulation of iridoid glycosides. HighlightLow levels of DNA methylation contribute to the accumulation of iridoid glycosides and the expression of key enzyme genes in R. glutinosa.

molecular biology↗

bioRxiv2025

Dietary glutamine supplementation alleviates age-related cardiac dysfunction by reducing elevated H3K27me3

BackgroundChanges to the epigenetic landscape play an important role in cardiovascular aging, where alterations in histone modifications influence gene expression by regulating DNA accessibility and chromatin structure. Our investigation into epigenetic changes during myocardial aging revealed that the repressive epigenetic mark H3K27me3 is significantly upregulated in aged mice and humans. This increase in H3K27me3 was shown to impair cardiomyocyte autophagy and drive metabolic reprogramming, key features of myocardial aging and causatively linked to dysfunction. Notably, by alleviating this repressive mark through a modified diet, we successfully mitigated the aged myocardial phenotype. MethodsHeart tissue from young and aged mice and humans was analyzed for H3K27me3 levels using immunoblotting and immunofluorescence staining. Genes regulated by H3K27me3 were identified through CUT&RUN-Seq and RNA-Seq, while metabolites were profiled using metabolomics. In neonatal rat ventricular myocytes (NRVMs), H3K27me3 levels were elevated by siRNA-mediated knockdown of UTX. Cellular metabolism was investigated using a Seahorse analyzer in cardiomyocytes with basal or elevated H3K27me3 levels. In further human studies, we assessed how circulating glutamine levels associate with the incidence of heart failure and the association of genetic variants within the SLC1A5 region with heart disease. In aged mice, H3K27me3 levels were reduced through a modified diet, and heart function was evaluated using echocardiography. Subsequently, hearts were processed for biochemical analysis, and autophagy was assessed using electron microscopy. ResultsH3K27me3 was significantly elevated in the aged mouse and human myocardium. This observed elevation in H3K27me3 was found to be attributed to impaired glutamine metabolism, resulting from reduced expression of the glutamine transporter SLC1A5 in the aged myocardium. Furthermore, elevation in H3K27me3 was found to contribute to impaired cardiomyocyte autophagy and metabolic dysfunction. In aged mice supplemented with a high glutamine diet this attenuated myocardial H3K27me3 and improved cardiac function. Furthermore, a high-glutamine diet reversed H3K27me3-mediated impairment in cardiac autophagy in aged mice. ConclusionsReduction in SLC1A5 during aging is likely to lead to increased myocardial H3K27me3 that results in impaired autophagy and metabolic reprogramming that contribute to the aged cardiac phenotype. Our findings also suggest glutamine may improve cardiac health in the aged population by lowering H3K27me3. Clinical PerspectiveO_ST_ABSWhat is new?C_ST_ABSO_LIElevation in H3K27me3 during aging is likely to lead to impaired myocardial autophagy and metabolic reprogramming. C_LIO_LIReduction in SLC1A5 during aging in humans is likely to contribute to myocardial dysfunction C_LIO_LIDietary supplementation of glutamine improves cardiac function in aged mice. C_LI What are the clinical implications?O_LITargeting H3K27me3 in the aged population may to mitigate cardiovascular disease C_LIO_LIDietary glutamine supplementation offers a promising strategy to improve cardiac function during aging. C_LI

cell biology↗

bioRxiv2025

Targeting C42 in PKGIα alleviates diastolic dysfunction in HFpEF

BackgroundIn our exploration of novel therapeutic strategies for treating heart failure with preserved ejection fraction (HFpEF), we focused on cysteine 42 (C42) in cGMP-dependent protein kinase I (PKGI), which plays a crucial role in regulating blood pressure and diastolic relaxation. Our findings demonstrate that targeting C42 on PKGI with urolithin A effectively limits diastolic dysfunction and cardiac remodeling in a multi-hit mouse model of HFpEF, while also improving the kinetics of relaxation and contraction in human-engineered heart tissue. MethodsWe evaluated various polyphenols, including urolithin A, for their capacity to oxidize and activate PKGI. This assessment involved recombinant protein, isolated rat aortic smooth muscle cells, and myography experiments using isolated mesenteric vessels. Additionally, we investigated the ability of urolithin A to stimulate PKGI-dependent phosphorylation of phospholamban (PLN) in neonatal rat ventricular myocytes (NRVMs). A multi-hit mouse model was employed to induce HFpEF in wild-type and C42S PKGI knock-in (KI) mice. Following this, the mice were given vehicle or urolithin A by gavage, and heart function was evaluated using echocardiography. The relevance to human physiology was assessed using human-engineered heart tissue. ResultsThe polyphenols quercetin, fisetin, and urolithin A were shown to induce C42-dependent activation of PKGI. This mechanism of kinase activation led to vasorelaxation, which was attenuated in mesenteric vessels isolated from KI mice. Additionally, urolithin A treatment promoted PKGI-dependent phosphorylation of phospholamban in isolated cardiomyocytes. In a multi-hit model of HFpEF, urolithin A reversed diastolic dysfunction and cardiac remodeling in wild-type mice, but not in KI mice. These findings were shown to be likely relevant to humans, as urolithin A also enhanced the kinetics of relaxation and contraction in human-engineered heart tissue. ConclusionsTargeting C42 in PKGI with urolithin A presents a promising new strategy for the treatment of HFpEF.

biochemistry↗

bioRxiv2025

A computational framework for mapping isoform landscape and regulatory mechanisms from spatial transcriptomics data

Transcript diversity including splicing and alternative 3 end usage is crucial for cellular identity and adaptation, yet its spatial coordination remains poorly understood. Here, we present SPLISOSM (SpatiaL ISOform Statistical Modeling), a computational framework for detecting isoform-resolution patterns from spatial transcriptomics data. SPLISOSM leverages multivariate testing to account for spot- and isoform-level dependencies, demonstrating robust and theoretically grounded performance on sparse data. In the mouse brain, we identify over 1,000 spatially variable transcript diversity events, primarily in synaptic signaling pathways linked to neuropsychiatric disorders, and uncover both known and novel regulatory relationships with region-specific RNA binding proteins. We further show that these patterns are evolutionarily conserved between mouse and human prefrontal cortex. Analysis of human glioblastoma highlights pervasive transcript diversity in antigen presentation and adhesion genes associated with specific microenvironmental conditions. Together, we present a comprehensive spatial splicing analysis in the brain under normal and neoplastic conditions.

bioinformatics↗

bioRxiv2025

MAIS: an in-vitro sandbox enables adaptive neuromodulation via scalable neural interfaces

Brain-machine interfaces (BMIs) predominantly rely on static digital architectures to decode biological neuronal networks, a paradigm that is incompatible with natural neural coding in the human brain1-4. Bridging this gap is a critical step in combating neuronal dysfunction, enhancing brain functionality, and refining the precision of neuroprosthetics5. The integration of brain organoids with microelectrode array (MEA), as a class of BMIs, offers a humanized in vitro platform with unique biological compatibility advantages for dynamic neuronal decoding. This study resolves the biological-electronic encoding incompatibility of brain organoid-MEA Integration through three progressive breakthroughs. First, a human-machine hybrid agent is developed as a newly proposed bioengineered platform that couples brain organoids together with high-density MEAs and computational chips, enabling closed-loop perturbation of biological neuronal networks via exogenous signals. Second, through plasticity-driven real-time tracking of neuronal activity, we establish dynamically reconfigurable stimulation nodes that self-align with the electrophysiological states of the organoids. This resolves the exogenous-endogenous encoding mismatch by implementing plasticity-driven adaptation principles that ensure biological compatibility through spatially adaptive coordination. Finally, through shared plasticity rules rather than centralized control, we construct the first scalable multi-agent interactive system (MAIS) and demonstrate its real-world applications. Through designed scenarios of pathological/normal neuronal network interaction, we validate that MAIS achieves stable cross-network coordination. MAIS embodies a self-evolving neural coding sandbox in which plasticity-driven dynamic decoding bridges the compatibility gaps between biological and digital systems, providing a scalable and foundational infrastructure for human-centered neural interfaces.

bioengineering↗

bioRxiv2025

ClairS-TO: A deep-learning method for long-read tumor-only somatic small variant calling

Accurate identification of somatic variants in tumor is crucial but challenging, and typically requires a matched normal sample for reliable detection, which is often unavailable in real-world research and clinical scenarios, necessitating proficient algorithms to tell real somatic variants from germline variants and background noises. However, existing tumor-only somatic variant callers that were designed for short-read data dont work well with long-read. To fill the gap, we present ClairS-TO, a deep-learning-based method for long-read tumor-only somatic variant calling. ClairS-TO uses an ensemble of two disparate neural networks that were trained from the same samples but for opposite tasks - how likely/not likely a candidate is a somatic variant. ClairS-TO also applies multiple post-calling filters, including 1) nine hard-filters, 2) four public plus any number of user-supplied PoNs, and 3) a module that statistically separates somatic and germline variants using tumor purity and copy number profile. Benchmarks using COLO829 and HCC1395 show that ClairS-TO outperforms DeepSomatic in long-read. ClairS-TO is also applicable to short-read and outperforms Mutect2, Octopus, Pisces, and DeepSomatic. Extensive experiments across various sequencing coverages, VAF ranges, and tumor purities support that ClairS-TO has a broad coverage of usage scenarios. ClairS-TO is open-source, available at https://github.com/HKU-BAL/ClairS-TO.

bioinformatics↗