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Gu, J.

Publications and source records attributed to Gu, J..

At least 19 recordsLinked to original sources

UniMedSeg: Unified Multi-Modal Medical Image Segmentation via Uncertainty Guided Encoding and Frequency-Spatial Dual-Prompt Decoding

Text-driven medical image segmentation demands unified models based on multi-modal learning, capable of processing diverse imaging modalities while providing spatially reliable prediction estimates for clinical practice. Nevertheless, existing vision-language model solutions suffer from poor domain generalization and exhibit limited capability for uncertainty estimation to model the cumulative unreliability of cross-modal alignment across network layers. In this paper, we propose UniMedSeg, a unified vision-language framework for multi-modal medical image segmentation built upon frozen pre-trained vision-language backbones. Our framework incorporates modality-aware adaptation, cross-layer uncertainty-guided encoding, and a frequency-spatial dual-prompt decoder, wherein the progressive uncertainty propagation mechanism of the encoder suppresses misleading cross-modal features, whereas the decoder disentangles anatomical structure and boundary details in the frequency domain under dual textual prompts. Auxiliary losses further sharpen boundary representations and calibrate pixel-wise uncertainty maps. Extensive experiments demonstrate that UniMedSeg preserves competitive in-domain segmentation performance, improves domain generalization, and yields clinically useful spatial risk estimation.

pathology↗

Towards Quantitative In Vitro Modelling of Focused Ultrasound-mediated Blood-Brain Barrier Opening using an Ultrasound-transparent Organ-on-Chip Device

Gas-bubble-enhanced focused ultrasound (FUSGB) is advancing clinically across a myriad of applications, including targeted drug delivery through transient blood-brain barrier opening (BBBO). Its broader translation requires a better understanding of the bioeffects that enable reproducible enhancement of barrier permeability while avoiding vascular injury, underscoring the need to clarify the relationship between acoustic exposure, bubble activity, and the biological response central to treatment optimization. These interactions are difficult to isolate in vivo, and acoustic reflections, geometry, and field distortion in conventional cultureware hinder quantitative in vitro studies. Herein, we present a theoretically and experimentally characterized ultrasound-transparent organ-on-chip device with >99.9% US transparency that enables quantitative in vitro modeling of the FUSGB procedure and study of BBBO. Furthermore, submicron bubbles (sMB, ~800nm) were fabricated and characterized. Acoustic dose-dependent subharmonic and broadband cavitation dose curves (SCD and BCD), as well as temporal responses, were studied. A 3-day accelerated Caco--2 surrogate barrier with a high TEER (~1200xcm2) was used to demonstrate US dose-dependent targeted barrier opening, visualized using an in vitro Evans Blue assay. Together, this study and its findings establish a foundation for quantitative in vitro modeling of FUS BBBO, as well as other US interactions in microphysiological systems, supporting systematic evaluation of procedural regimens, large-parameter-space optimization, acoustic safety window, and exposure conditions for brain drug delivery, and additionally enabling mechanistic insight into FUSGB BBBO.

bioengineering↗

The RNA modification N6-methyladenosine restrains SIRPα to license myeloid efferocytosis in atherosclerosis

Background: Macrophages participate in atherosclerotic plaque development, progression and resolution, integrating lipid and inflammatory cues to balance tissue damage and repair. Despite considerable understanding of macrophage function in atherosclerosis, the underlying regulatory mechanisms governing these responses continue to evolve. Emerging evidence implicates epitranscriptomic gene regulation by the RNA modification N6-methyladenosine (m6A) in control of context specific immune responses, but its role in atherosclerosis is not well-defined. Methods: We integrated m6A quantitative trait loci (m6A QTLs) with Coronary Artery Disease (CAD) GWAS summary statistics. Using Oxford Nanopore direct RNA sequencing and MeRIP-seq, we constructed a high-resolution map of m6A modifications in macrophages. To determine the functional consequences of myeloid m6A loss in-vivo, we generated a myeloid-specific loss-of-function mouse model of m6A (Mettl14f/f LysMCre) and performed atherosclerosis studies using bone marrow transplantation into irradiated Ldlr-/- mice. Atherosclerosis lesions were analyzed using light microscopy and immunofluorescence imaging, with complementary in-vitro mechanistic studies performed in murine bone marrow derived macrophages (BMDMs). Results: m6A quantitative trait loci (m6A-QTLs) were enriched in CAD GWAS loci relevant to immune and lipid function, implicating m6A regulation in human CAD genetics. Using Oxford Nanopore direct RNA sequencing in conjunction with public MeRIP-sequencing data, we generated a single-base resolution, stoichiometric map of m6A modification in macrophages, nominating genes central to macrophage biology in atherosclerosis as high-confidence m6A targets. Myeloid specific deletion of the m6A "writer" complex subunit Mettl14 drove the development of larger, more necrotic and unstable atherosclerotic plaques on an Ldlr-/- background compared with Mettl14f/f controls, establishing an atheroprotective role for myeloid m6A. Loss of myeloid Mettl14 impaired macrophage efferocytosis in atherosclerotic plaques, in a dexamethasone-induced apoptosis in the thymus and in-vitro. Molecularly, m6A methylation of the "don't eat me" antiphagocytic receptor SIRP RNA suppressed its protein expression. Conclusions: These findings identify the myeloid m6A - SIRP axis as a novel homeostatic regulator of efferocytosis and establish epitranscriptomic remodeling as a crucial layer of macrophage regulation in atherosclerosis.

physiology↗

Perturb-ME: Scalable mechanism discovery from phenotype-enriched genome-wide screens

Perturb-seq enables pooled genetic screens with rich single-cell profiling readouts, but genome-scale profiling remains costly and may not be associated with other established functional characteristics. Moreover, as screens grow in size and complexity, interpreting the resulting data comprehensively is challenging and slow. Here, we introduce Perturb-seq with Marker Enrichment (Perturb-ME), which combines genome-scale CRISPR screening, phenotype-based enrichment and multimodal single-cell profiling. Applied to MHC-I cell surface protein expression in melanoma, Perturb-ME profiled HLA-low and HLA-high cells with matched RNA, surface-protein and guide measurements. A regulatory model with 221 impactful regulators affecting 1,998 responsive genes recovered seven coherent co-functional regulatory modules governing nine gene programs, including the canonical IFN{gamma}-MHC-I axis regulating an antigen-presentation and interferon-response program. Agentic interpretation of the entire model with an AI co-scientist linked additional modules to trafficking, proteostasis and chromatin regulation. Perturb-ME, along with agentic interpretation, provide a scalable framework for comprehensive functional discovery from phenotype-enriched genetic screens.

cell biology↗

Conserved Genic Composition Unravels Rapid Karyotype Evolution and Polyploidization across Plants

Chromosomal variation underlies species evolution, but reconstructing its large-scale dynamics remains challenging, obscuring its adaptive significance. Here, we introduce GouMang, a framework that mines conserved genic section compositions across diverse species to trace karyotype evolution. In grasses, applied to 818 highly varied chromosomes spanning eight subfamilies, GouMang resolved a shared karyotype evolution path of 9 [->] 18 ({rho} whole-genome duplication, {rho}WGD) [->] 12 chromosomes, followed by lineage-specific rearrangements or WGDs. Genes retained from the early {rho}WGD are linked to cold/light adaptation, supporting a key biomass-expansion event that impacted subsequent global ecological pattern and human agricultural civilization, in which K-Pg global cooling and subsequent forest degradation drove early understory grasses to sun plants. Parallel analysis in Brassicaceae reconstructed karyotype evolution as well as {beta}WGD which unlinked to cold/light adaptation, reflecting a divergent biogeographic history compared to grasses. Together, GouMang depicts a widespread plant evolutionary pattern where karyotype constantly diversified with WGDs recurrently fueling adaptation.

evolutionary biology↗

An innate immune circuit involving the lectin pathway, complement and lung epithelial cells enforce barrier immunity to inhaled fungal disease

The lung mucosal barrier thwarts many inhaled pathogens, including Coccidioides, the causative agent of Valley Fever. Because the earliest stages of pathogen recognition in the lung remain obscure, we investigated the initial events of barrier immunity in a murine model involving inhalation of Coccidioides sp. arthroconidia. Neutrophils accumulated rapidly, within 24 hours, near fungal spores in the bronchiolar airways. This response was driven by pattern recognition via the lectin complement pathway. Bronchiolar club cells propagated C3a signals and amplified the response via convergent C3aR and P2X7 signaling. We identified several MBL2 and P2RX7 polymorphisms that correlated with progressive disease in humans. Our assays revealed that these mutations caused functional impairments in C3a generation and P2X7 responsiveness. Our findings establish how complement signaling and epithelial sensing coordinate early immune responses to fungal infection, offering insights into essential host defense mechanisms and risk factors for disease progression in coccidioidomycosis.

microbiology↗

Estrogen-Deficiency Degrades Left Ventricular Diastolic Function and Energy Metabolism in Hypertensive Female Mice

AimsHeart failure (HF) due to diastolic dysfunction (DD) but normal left ventricular (LV) ejection fraction (EF) is termed HF with preserved EF (HFpEF). Given its high prevalence in post-menopausal women, we hypothesized that 17{beta}-estradiol (E2) function is mechanistically linked to DD HF and investigated E2-deficiency in the etiology of DD in a mouse model. MethodsFemale C57BL/6J mice were divided into one group with hypertension induced by N({omega})-nitro-L-arginine methyl ester (L) and cardiac pressure overload induced by angiotensin II (A), collectively inducing DD, and one group with sham treatment. Groups were subdivided to receive an ovariectomy (OVX) to induce estrogen-deficiency and emulate menopause or sham surgery. During the next 21 days, mice were tested for cardiac function, food intake, response to E2 agonists, gene profiling, cardiomyocyte-contractility and elasticity, and cardiac mitochondrial function. ResultsOVX-associated E2-deficiency exacerbated DD in a time-dependent way without affecting EF or stroke volume, emulating a severe DD phenotype. These changes paralleled those for mitochondrial dysfunction, i.e., upregulation of genes associated with stress, energy metabolism, and fibrosis, as well as functional and structural defects in cardiomyocytes. Treatment of OVX + (L + A) with E2 or a G-protein-coupled estrogen receptor agonist normalized diastolic function, whereas estrogen receptor beta agonists did not. The OVX DD mice exhibited moderately impaired mitochondrial function, which delayed cardiomyocyte relaxation but not contraction, altered cardiac substrate utilization, reduced cardiomyocyte elasticity, increased production of reactive oxygen species, and potentiated extracellular fibrosis. ConclusionsOVX-induced E2-deficiency generates metabolic, structural, and functional changes in cardiomyocytes and the adjacent extracellular matrix, exacerbating the effects of L and A on diastolic function. This robust DD model revealed a role for E2 via ER in diastole-regulation in female mice and raised questions about similar mechanisms operative in postmenopausal women. HIGHLIGHTSO_LIOvariectomy (OVX)-induced estrogen-deficiency exacerbated diastolic dysfunction (DD) induced by hypertension and pressure overload with preserved ejection fraction in female C57BL/6J mice. C_LIO_LIIn post-OVX-treated DD mice, heart weight and fibrosis preceded other metrics of cardiac dysfunction. C_LIO_LIOVX-induced estrogen-deficiency increased the expression of genes associated with stress, energy metabolism, and especially fibrosis. C_LIO_LIMetabolic imaging of the heart by positron emission tomography revealed that DD with preserved ejection fraction was associated with mitochondrial dysfunction presenting as increased accretion of cardiac energy substrates, [18F]deoxyglucose and [11C]palmitate, effects that worsened following OVX. C_LIO_LIOVX increased cardiomyocyte stiffness and fibrosis and reduced cardiomyocyte lengthening and compliance in the context of female DD. C_LIO_LIImproved diastolic function following delivery of GPER agonists or estradiol to OVX DD female mice implicates estrogen receptor in the maintenance of normal cardiac function. C_LI

physiology↗

Transgene Expression Kinetics and Replication Potential of Recombinant Adenovirus Serotype 4 in a Mouse Model and its Use as a Herpes Simplex Virus Vaccine

Human adenovirus serotype 4 (Ad4) is used as a replication-competent oral vaccine that safely and effectively prevents Ad4 respiratory illness in US military personnel. Recombinant Ad4 vaccine candidates elicit mucosal and systemic immune responses against respiratory viruses in hamsters, nonhuman primates, and humans. Although evaluation of Ad4 vaccine candidates in mice would be extremely useful given the large number of immunologic tools available, this has been limited by concerns about a lack of viral replication in these animals. Here we generated recombinant Ad4 vectors that express either luciferase (Ad4-Luc) or herpes simplex virus type 2 (HSV-2) glycoprotein D (Ad4-gD2) to identify transgene expression kinetics, the presence of Ad4 vector replication, and HSV-2 immune responses and protection against HSV-2 infection. Local luciferase activity was observed from 7 hours to 20 days after intranasal inoculation of BALB/c and humanized mice. Subsequent inoculations with Ad4-Luc showed reduced luciferase expression in BALB/c mice, but robust expression in humanized mice, suggesting an immune response to the vector in wild-type mice. Ad4 DNA, but not luciferase activity, was reduced in the lungs of BALB/c mice treated with cidofovir before inoculation with Ad4, implying that Ad4 replicated, albeit at a low level, in the lungs. Intranasal vaccination of mice with Ad4-gD2 resulted in HSV-2 neutralizing antibody in the serum, and after HSV-2 intravaginal challenge reduced disease scores, increased survival, and reduced shedding. Overall, the BALB/c mouse model is semi-permissive to Ad4 mucosal infection, but transgene expression is sufficient for the study of Ad4-based vaccine candidates. ImportanceMucosal surfaces serve as the primary site of infection and shedding for many viral pathogens. Immune responses at mucosal sites provide protection, but few mucosal vaccines are licensed. The oral replication-competent adenovirus serotype 4 (Ad4) vaccine is used to prevent respiratory illness in military recruits, has an extraordinary record of safety and efficacy and has been tested as a recombinant platform for other viruses. Further development of this vaccine platform has been partially hindered by the perceived inability to evaluate vaccine candidates in mice. Here we characterize recombinant Ad4 transgene expression kinetics and viral replication after inoculation at various sites and show protection against herpes simplex virus type 2 (HSV-2) genital disease in mice after intranasal vaccination. We show that Ad4 can induce protective efficacy, even in a semi-permissive mouse model, suggesting this is a promising vector for HSV-2 and potentially other viral pathogens.

immunology↗

The Central Nucleus of the Amygdala Encodes the Motivation to Pursue Ethanol

Prior studies implicate the central nucleus of the amygdala (CeA) in reward motivation, yet how this region encodes motivation for ethanol (EtOH) seeking and consumption-and how this compares to encoding of natural rewards--remains poorly understood. We recorded single-unit neural activity from rats during a cued instrumental task in which lever insertion on each trial indicates the opportunity to lever press for ethanol and post-press lever retraction signals ethanol delivery. We found neurons responsive to multiple trial events (lever insertion and retraction cues, lever press, port entry, and reward licks), including neurons with rhythmic activity entrained to licking during EtOH consumption. Notably, CeA neural responses to the lever insertion cue at trial start encoded both the likelihood and speed of engagement during reward seeking. Using a supervised classifier, we found that trial engagement and motivation level could be decoded from pre-trial and lever insertion response periods. Finally, we assessed whether these effects generalized to natural reward seeking. Sucrose-rewarded rats (both ethanol-exposed and ethanol-naive) showed higher motivation (more rewards earned and shorter first-press latencies) and stronger CeA recruitment and responses at lever insertion than ethanol-rewarded rats, in agreement with the notion that CeA circuits amplify reward-predictive cue signals to facilitate rapid action initiation under high motivational states. Together, these findings indicate that CeA neurons dynamically encode motivational states, with tonic activity and reward-predictive cue responses predicting both engagement in reward seeking and the vigor of action initiation. We suggest these patterns of neural activity drive ethanol and sucrose pursuit. Significance StatementHow motivational states drive reward-seeking is a central question in systems neuroscience, yet the mechanisms linking neural signals to action initiation remain poorly understood. Recording single-unit activity in the amygdala central nucleus (CeA) during cued ethanol self-administration revealed that neural responses to reward-predictive cues encoded both the decision to engage in reward seeking and the vigor of action initiation, and motivational state was decoded from cue-evoked signals and tonic activity even before cue presentation. Consistent with greater motivation for the more palatable sucrose reward, CeA neurons showed stronger cue responses and greater anticipatory firing preceding tongue contact with reward, compared with ethanol-rewarded rats. These findings identify CeA activity patterns that link motivational state to the rapid initiation of goal-directed action.

neuroscience↗

An generative-AI framework for target-Specific MicroRNAs towards RNAi-based drug design

MicroRNA (miRNAs) are small non-coding RNAs that regulate gene expression by binding to the target messenger RNA (mRNA), whose versatility has inspired RNA-interference (RNAi)-based drug designs. However, off-target effects lead to unintended gene silencing and toxicity. Existing methods suffer from experimental data scarcity and fail to effectively integrate target specificity into designing de novo small interference RNAs (siRNA). To overcome the above challenges, we present SO_SCPLOWPECIC_SCPLOWMO_SCPLOWIC_SCPLOWR, a specificity-guided generative framework that synthesizes target-conditioned miRNAs. By training on a large experimental data containing 2.2M miRNA-mRNA pairs, SO_SCPLOWPECIC_SCPLOWMO_SCPLOWIC_SCPLOWR minimizes off-target effects with enhanced on-target potency. As a result, SO_SCPLOWPECIC_SCPLOWMO_SCPLOWIC_SCPLOWR-generated miRNAs bind more strongly to the target mRNAs than the observed miRNAs and much less so to off-target mRNAs. We tested SO_SCPLOWPECIC_SCPLOWMO_SCPLOWIC_SCPLOWR on mRNA targets for liver disease, for which 6 FDA-approved siRNA-based drugs were available. SO_SCPLOWPECIC_SCPLOWMO_SCPLOWIC_SCPLOWR recovers binding regions that correspond to FDA-approved siRNA drugs across 3 targets, and demonstrates greater structural specificity for on-target mRNAs than for off-target mRNAs. Together, SO_SCPLOWPECIC_SCPLOWMO_SCPLOWIC_SCPLOWR offers an AI solution to synthesize miRNA-inspired and target-specific siRNA sequences towards RNAi-based drug design. Code/data is available at https://anonymous.4open.science/r/SpeciMiR-278F

genomics↗

Nucleoid-associated proteins sense phage-induced genome damage to elicit abortive infection

Bacteria have evolved diverse immune strategies to detect and neutralize bacteriophage infection. Here, we describe an unprecedented paradigm in which a chromosome-architecting nucleoid-associated protein (NAP) is repurposed as a viral infection sensor. When phage attack leads to genome degradation, the NAP sensor is released from the nucleoid to the cytoplasm, where it binds and activates diverse immune effectors. One such effector is a nucleotide-modifying toxin normally existing as an inactive homotetramer. NAP binding converts it into a catalytically active heterotrimer that halts both transcription and translation. Phylogenetic analyses unveiled the high modularity, polyphyletic origin, and wide distribution of NAP-mediated defenses. Collectively, we define a distinct class of defense systems in which bacteria sense phage-induced genome damage through NAP relocation, highlighting an unexpected but essential role for these proteins as sentinels of genome integrity.

microbiology↗

Multi-agent reasoning enables predictive design of living materials

Artificial intelligence is increasingly used to accelerate scientific discovery, but most successful frameworks operate within well-defined molecular, protein or materials spaces. Living materials present a more formidable computational problem because functions emerge from context dependent coupling among cells, matrices, fabrication processes and evaluation conditions. Here we introduce LiveMat, a multi-agent reasoning framework that transforms unstructured literature into a computable design space for living materials. LiveMat standardizes 34,215 living material records, integrating 16,769 microorganism and 17,446 polymer entries into a knowledge graph linking living components, abiotic matrices, functional outputs, evaluation contexts and performance metrics. Benchmarking across five large language models shows that living material reasoning is limited mainly by cross-domain feature integration rather than coarse classification. LiveMat overcomes this limitation through constraint decomposition, provenance-aware extraction, consistency checking and expert-anchored ranking. In a prospective wound-healing task, it prioritizes a four-component design with state-of-the-art in vivo performance, establishing a scalable infrastructure for interpretable, evidence-grounded living material discovery.

biochemistry↗

FluNexus: a versatile web platform for antigenic prediction and visualization of influenza A viruses

Influenza A viruses continuously undergo antigenic evolution to escape host immunity induced by previous infections or vaccinations, consequently causing seasonal epidemics and occasional pandemics. Antigenic prediction and visualization of influenza A viruses are crucial for precise vaccine strain selection and robust pandemic preparedness. However, a user-friendly online platform for these capabilities remains notably absent, despite widespread demand. Here, we present FluNexus (https://flunexus.com), the first-of-its-kind, one-stop-shop web platform designed to facilitate the prediction and visualization of the antigenic change in emerging variants. FluNexus features a data preprocessing module for hemagglutinin subunit 1 (HA1) and hemagglutination inhibition (HI) data across three major public health threat subtypes (H1, H3 and H5). Meanwhile, FluNexus provides an interactive interface for online antigenic prediction and offers practical guidance for researchers. Most notably, FluNexus offers the visualization of influenza A virus antigenic evolution, providing intuitive insights into its antigenic dynamics. Specially, FluNexus proposes a novel manifold-based method for positioning antigens and antisera, generating accurate antigenic cartographies even with sparse HI data. By alleviating the programming burden on biologists, FluNexus supports more informed decision-making in vaccine strain selection and strengthens surveillance and pandemic preparedness. HighlightsO_LIFluNexus features a data preprocessing module for HA1 and HI data spanning the H1, H3, and H5 subtypes. C_LIO_LIFluNexus facilitates online antigenic prediction utilizing ten state-of-the-art antigenic prediction tools, and offers practical guidance based on a comparative evaluation of their performance. C_LIO_LIFluNexus provides a visualization module for mapping antigenic evolution of influenza A viruses, incorporating a novel manifold-based method for antigenic cartography. C_LI

bioinformatics↗

Effects of delay and amplification of auditory feedback for walking: anticipation, variability, and frequency adaptation.

When we walk, our footsteps generate rich acoustic information about foot timing, dragging, loading rate, etc. The role of self-generated or endogenous auditory feedback for gait control remains underexplored. We investigated how delay and amplification of self-produced footstep sounds modulate gait. Thirty healthy young adults walked overground while receiving real-time lateralized playback of the sound produced by their feet. Amplified auditory feedback (AAF) was delivered with no, shorter, or longer delay, and either at full or half amplification. Cortical hemodynamic responses were recorded concurrently in prefrontal and temporal regions of interest (ROI) with mobile functional near-infrared spectroscopy (fNIRS). Spatiotemporal gait parameters were analyzed as change relative to baseline. We found that amplification without delay reduced variability by almost 10%, consistent with strengthened sensorimotor coupling via enhanced perceptual access to foot-ground interaction dynamics. Delay increased cadence instead of reducing it. At the level of hemodynamic response, the ROI containing the superior temporal gyrus (STG) exhibited an increase during walking relative to quiet standing, especially in the condition with no delay and full amplification. To explain the effects of amplification and delay on gait timing, we offer two alternative models, one using anticipatory dynamic systems and the other Bayesian predictive processing.

neuroscience↗

MiRformer: a dual-transformer-encoder framework for predicting microRNA-mRNA interactions from paired sequences

MotivationMicroRNAs (miRNAs) regulate gene expression by binding to target messenger RNAs (mRNAs), inducing translational repression or mRNA degradation. Accurate prediction of miRNA-mRNA interactions and precise localization of binding and cleavage sites are critical for understanding post-transcriptional regulation and for enabling RNA therapeutics. Existing computational methods often rely on handcrafted or indirect features, scale poorly to kilobase-long mRNA sequences, or provide limited interpretability. ResultsWe present MiRformer, a transformer-based framework that jointly predicts miRNA-mRNA interactions and localizes miRNA binding and cleavage sites directly from raw sequence pairs. MiRformer employs a dual-transformer encoder architecture for miRNA and mRNA sequences and incorporates a sliding-window attention mechanism to efficiently model kilobase-long mRNA contexts while preserving nucleotide-level resolution. Across multiple benchmrks, MiRformer achieves state-of-the-art performance on interaction prediction, binding-site localization, and cleavage-site identification from experimental Human Degradome-seq data. Beyond accuracy, MiRformer provides strong interpretability: attention patterns consistently highlight miRNA seed regions within 500-nt mRNA windows, revealing clear and biologically meaningful interaction signals. When applied to jointly infer binding and cleavage sites across 13k miRNA-mRNA pairs, predicted sites frequently co-localize, supporting a miRNA-mediated degradation mechanism. AvailabilityPython code and datasets are publicly available at https://github.com/li-lab-mcgill/miRformer. ContactPlease contact corresponding author at yueli@cs.mcgill.ca

bioinformatics↗

Precision at Every Scale: Efficiency in AI-Driven De Novo Antibody Design

The precise de novo design of antibodies remains a therapeutic challenge. The AI platform, GaluxDesign, was evaluated in a high-efficiency Precision-Scale Workflow by synthesizing and testing only 50 full-length IgG candidates per epitope across eight distinct epitopes from six therapeutic targets. This campaign yielded a 10.5% binder rate (estimated EC50 < 100 nM), identifying target-specific binders for seven of eight epitopes, with multiple candidates exhibiting sub-nanomolar to single-digit nanomolar dissociation constants (Kd). We further assessed the same workflow on nine shared benchmark targets selected for external comparison, where GaluxDesign identified target-specific binders for eight of nine targets, demonstrating strong target-level performance relative to previously reported de novo antibody design approaches. Together, these results establish a high-efficiency, precision-scale workflow for generating novel, high-affinity therapeutic antibodies.

bioengineering↗

Large Language Models for Accessible Reporting of Bioinformatics Analyses in Interdisciplinary Contexts

Health and life scientists frequently rely on quantitative experts to perform complex data analyses, yet interpretation of these results often becomes a bottleneck due to communication barriers across disciplines. Large Language Models (LLMs) have the potential to act as intermediaries that translate analytical outputs into accessible scientific narratives, but their ability to reliably interpret outputs from real-world biomedical data analyses across disciplines remains unclear. In this study, we investigate how state-of-the-art LLMs behave when integrated into real bioinformatics analysis workflows as report-generation assistants for interdisciplinary teams. We evaluated LLM-generated summaries using both automated and human evaluation frameworks to ensure holistic evaluation. Automated assessment employed multiple choice questions designed using Bloom's taxonomy to assess multiple levels of understanding, while human evaluation tasked scientists to score summaries for factual consistency, lack of harmfulness, comprehensiveness, and coherence. All generally produced readable and largely safe summaries, confirming their value for first-pass translation of technical analyses, however frequently misinterpreted visualisations, produced verbose summaries and rarely offered novel insights beyond what was already contained in the analytics. Our findings suggest that LLMs are best suited for easing interdisciplinary communication rather than replacing domain expertise and human oversight remains essential to guarantee accuracy, interpretative depth, and the generation of genuinely novel scientific insights.

bioinformatics↗

Oxygen-adaptive plasticity of Asgard archaea dependent on terminal oxidase and globin

The oxygenation of ancient Earth is thought to have driven eukaryogenesis, beginning with the endosymbiosis of an aerobic alphaproteobacterium (proto-mitochondria) with an archaeal host. Given that the archaeal host likely evolved from within Asgard archaea (phylum Promethearchaeota), the metabolic traits of Asgard archaea could provide key insights into eukaryotic origins. Although Asgard archaea cultured to date are obligate anaerobes, their genomes encode oxygen-adaptive proteins, suggesting they might be oxygen-tolerant. Here, we demonstrate that some Asgard archaea, in particular, Hodarchaeales, the closest known relatives of eukaryotes, and Kariarchaeaceae, exhibit oxygen adaptation mediated by terminal oxidase and globin. Phylogenetic analysis reveals long-term vertical evolution of terminal oxidases in Asgard archaea, suggesting ancient adaptation to molecular oxygen. By contrast, globin was likely acquired by Asgard archaea via horizontal gene transfer from facultative aerobic Chloroflexales bacteria. Heterologous expression of the Asgard globin enhances aerobic growth of Haloarchaea and Escherichia coli in the presence of terminal oxidase-dependent electron transfer chain, suggesting that Asgard growth benefits from ambient oxygen. The Asgard globin gene is embedded in an oxygen-sensitive bidirectional promoter region, with one promoter driving oxygen-induced globin expression, and the other anaerobically activating expression of two enzymes, PdxS and PdxT, involved in a pyridoxal 5-phosphate biosynthesis. The Asgard globin and promoter region exhibit high functional robustness across archaea and bacteria, and could contribute to the symbiosis between the Asgard and aerobic bacterial partners. These findings highlight the oxygen-adaptive plasticity of Asgard archaea and its potential contribution to eukaryogenesis.

evolutionary biology↗