Biology subjects

Zhou, K.

Publications and source records attributed to Zhou, K..

At least 19 recordsLinked to original sources

bioRxiv2026

FLASH X-rays preserve neutrophil chromatin to boost antitumor immunity

Ultrahigh dose-rate FLASH radiotherapy spares normal tissue while preserving antitumor activity, positioning it as a promising technology in radiation oncology, but its immunomodulatory mechanisms remain elusive. Here, using a bilateral subcutaneous tumor model in mice, we show that 8-Gy FLASH X-rays, versus an equal dose of conventional dose-rate (CONV) X-rays, elicit a robust abscopal antitumor effect with anti-PD-1 therapy. Single-cell transcriptome and T cell receptor (TCR) profiling reveal that FLASH X-rays plus anti-PD-1 enhance antitumor immune infiltration and TCR clonal expansion in both irradiated and abscopal tumor lesions. Mechanistically, the ultrashort temporal continuity of FLASH dose delivery conserves chromatin compaction in neutrophils during exposure and inhibits neutrophil extracellular trap (NET) formation, thereby dismantling NET-mediated CD8+ T-cell exclusion within primary tumors. Conversely, CONV or split-dose FLASH X-rays induce marked chromatin modifications prior to dose completion, leading to chromatin hyper-relaxation which promotes NETosis and consequently abrogates systemic antitumor immunity. Notably, this detrimental effect can be reversed by pharmacologically suppressing PARylation-mediated chromatin modification and decondensation in neutrophils. These findings identify radiation-induced aberrant chromatin relaxation in neutrophils as a critical determinant of radioimmunotherapy outcomes, providing a rationale for redefining the FLASH effect and advancing its clinical translation.

cancer biology↗

bioRxiv2026

Neurite Complexity and Plasticity Markers Track Synaptic Vesicle Density in the Living Human Brain: A Multimodal PET-MRI-EEG Study

Neuroplasticity, the brain's capacity to reorganise its structure and function, is a transdiagnostic feature across psychiatric and neurodegenerative diseases and a putative mechanism of action for pharmacological interventions. [11C]-UCBJ positron emission tomography (PET), which quantifies synaptic vesicle glycoprotein 2A (SV2A) density, offers the most direct in vivo measure of human synaptic density, but its relationship to complementary, more scalable neuroimaging measures of structural and functional plasticity remains uncharacterised. We combined [11C]-UCBJ PET, diffusion weighted imaging (DWI/NODDI), resting-state functional magnetic resonance imaging (rs-fMRI), and electroencephalography (EEG)-based sensory tasks (roving mismatch negativity, MMN; visual long-term potentiation, vLTP) in 18 healthy volunteers to test the relationship between synaptic terminal SV2A density and complementary structural and functional neuroplasticity measures, and whether these relationships were reproducible following pharmacological challenge with ketamine (n = 11) or N,N-dimethyltryptamine (DMT; n = 7). There were no statistically significant differences in PET-derived SV2A binding potential (BPND), DWI-derived neurite orientation dispersion (ODI) and structural weighted degree (SWD), EEG-derived MMN repetition suppression, and late-phase vLTP P2 potentiation, 1 to 8 days following DMT and ketamine exposure compared to baseline. BPND was coupled with ODI across cortical regions before and after pharmacological challenge, and this relationship was tighter within visual, attentional, and frontoparietal control brain networks. SWD showed a weaker, more spatially restricted association with BPND, primarily in regions belonging to the limbic and visual brain networks, but was not replicated post-drug. No consistent association was found between BPND and functional weighted degree (FWD), derived from rs-fMRI, at baseline or after pharmacological challenge. Frontotemporal BPND was positively associated with MMN repetition suppression (r = 0.61), and occipital BPND with late-phase vLTP P2 potentiation (r = 0.54), with the MMN-BPND association replicating after pharmacological challenge (r = 0.49). These findings link synaptic terminal SV2A density in the living human brain to neurite architecture and the capacity for short-term and Hebbian-like long-term synaptic plasticity, while dissociating these relationships from generic functional connectivity and magnitude of sensory-evoked responses. These data provide cross-modal validation for DWI- and EEG-derived measures as biological indices and surrogate measures of human synaptic plasticity.

neuroscience↗

bioRxiv2026

PhageHost-GNN: novelty-aware and locally adaptable strain-level Klebsiella-phage prediction

Interest in bacteriophages as alternative treatments for bacterial infections has grown amid the ongoing crisis of multidrug resistance. However, their narrow host range makes it labor-intensive to identify matching phages for bacterial isolates using conventional experimental methods. Although existing computational models based on biomolecular features have shown promise for phage-host matching, the performance of alternative model settings, including data embeddings, across datasets with different degrees of novelty remains underexplored. This study introduces PhageHost-GNN, a novelty-aware framework using routed models to predict strain-level Klebsiella-phage interactions, evaluated under three clinical scenarios. Using multiple embedding models to encode sequence, structural, and genomic-context features, the framework achieved AUPRCs reaching 0.784, 0.731, and 0.642 in host-unseen, phage-unseen, and both-unseen in silico evaluations, respectively. Benchmarks on experimentally validated datasets showed the clearest advantage over fixed embeddings when both hosts and phages were new to the trained model. In addition to direct inference and de novo training, the framework further implements a fine-tuning pipeline to adapt existing models to local custom datasets while reducing model-training time. Overall, PhageHost-GNN provides a flexible framework for model selection, evaluation, and local adaptation in practical phage-therapy screening.

bioinformatics↗

bioRxiv2026

Patronin condensation integrates recognition, protection and organization of microtubule minus ends

Microtubule minus ends are central to non-centrosomal microtubule organization, yet how their recognition, protection and molecular organization are integrated remains unclear. Here we show that Drosophila Patronin forms dynamic condensates at microtubule minus ends through a prion-like domain (PrLD). PrLD-mediated condensation cooperates with the CKK domain and a second CKK-independent recognition region to convert weak or broadly distributed microtubule-binding activities into persistent minus-end recognition and tracking. Replacing the PrLD with a heterologous phase-separating HNRNPA1 IDR restores minus-end targeting, indicating that condensation capacity rather than PrLD primary sequence is critical. Patronin condensates further form a protective cap that resists minus-end depolymerization and recruit the cytoskeletal regulators Sas-4, Katanin and Ena. Disrupting PrLD multivalency impairs Patronin localization at multiple developmental sites and causes early organismal lethality. Thus, Patronin condensation creates a physiologically essential microtubule minus-end compartment coupling end recognition, stabilization and cytoskeletal organization.

cell biology↗

bioRxiv2026

A high-throughput screening dataset of small-molecule inhibitors across human DNA glycosylases

The base excision repair pathway removes small base lesions from DNA and is initiated in humans by one of eleven DNA glycosylases with overlapping substrate specificities. Despite their central role in genome maintenance and transcription, systematic datasets describing small-molecule binders or inhibitors of DNA glycosylases are lacking. Here, through a collaborative effort across Scandinavia, we establish a high-throughput biochemical assay platform for human DNA glycosylases and use it to generate a systematic small-molecule screening dataset. A chemogenomic library was screened against nine glycosylases with assays of sufficient quality for hit identification, yielding primary screening and concentration-response data and identifying multiple previously unreported inhibitors. All primary and processed data, along with detailed assay protocols and metadata, are publicly available to support reuse in chemical biology, further compound optimization, assay development and comparative studies of DNA repair enzymes.

biochemistry↗

bioRxiv2026

Expandable DNA-origami rings as a nanomechanical platform for studying disordered nucleoporins

Phe-Gly-rich nucleoporins (FG-Nups) within the nuclear pore complex (NPC) form a diffusion barrier that controls the exchange of macromolecules between the nucleus and cytoplasm. The behaviors of these intrinsically disordered FG-Nups are fundamental to the NPC function but remain difficult to probe within the dynamic, native nuclear pore. To bridge this knowledge gap, here we build expandable DNA-origami rings with tunable elasticity and study FG-Nups site-specifically tethered in such mechanically responsive NPC mimics. The elastic deformation of DNA rings, measured by single-particle TEM, reveals the type (attraction or repulsion) and strength of FG-Nup interactions that shape the collective morphology of these unstructured proteins. Analyzing homotypic interactions of five FG-Nup species finds diverse FG-Nup behaviors that can be classified as repulsive/extended (Nsp1), moderately cohesive/extended (Nup62, Nup153, and Nup214), and strongly cohesive/compact (Nup98). Furthermore, we examine how FG-Nups' primary sequence, O-glycosylation, grafting density, and binding to nuclear transport receptors (NTRs) impact their biophysical state. For example, O-GlcNAcylation reduced FG-Nup cohesiveness, switching Nup98 from a collapsed state to more extended conformations. Our work thus elucidates spatially confined Nup-Nup and Nup-NTR interactions within an NPC-like nanopore, suggests a previously underappreciated role of FG-Nups in modulating NPC dilation, and establishes a generalizable method for studying multivalent interactions among disordered proteins.

biophysics↗

bioRxiv2026

DHX36 regulates antral follicle development and ovulation as a non-OSF maternal factor by maintaining oocyte homeostasis and supporting OSF delivery

Healthy ovarian follicle development and ovulation require coordinated communication between oocytes and surrounding somatic cells. Although oocyte-secreted factors (OSFs), such as GDF-9 and BMP-15, are established regulators of this communication, the non-OSF maternal factors that support OSF delivery and signaling during late-stage follicle development remain poorly understood. Here, using an oocyte-specific Dhx36 knockout mouse model, we identify the G-quadruplex (G4) helicase DHX36 as a non-OSF maternal factor required for antral follicle development and hormone-induced ovulation. Dhx36 deficiency caused severe defects in granulosa cell proliferation and cumulus expansion, accompanied by impaired activation of SMAD2/3 and SMAD1/5/8, while ERK1/2 activation remained intact. Although the expression of major OSFs was largely unchanged, Dhx36-deficient oocytes exhibited disrupted microvilli and transzonal projections (TZPs), resulting in defective OSF delivery and impaired oocyte-cumulus communication. Proteomic, lipidomic, and ultrastructural analyses further revealed dysregulated phospholipid metabolism, membrane organization, autophagy, and organelle homeostasis, including abnormal lysosomal, mitochondrial, and endoplasmic reticulum structures. Integrative transcriptomic and proteomic analyses identified concordant downregulation of genes involved in these processes, whose promoters were enriched in potential G4 motifs. Consistently, Dhx36 deficiency was associated with reduced RNA polymerase II activity, while pharmacological G4 stabilization impaired transcription of selected genes. Together, these findings establish DHX36 as a maternal regulator that links oocyte intrinsic homeostasis to intercellular communication, suggesting that DHX36-dependent maintenance of membrane and organelle integrity is essential for OSF delivery, cumulus cell function, antral follicle development, and ovulation.

developmental biology↗

bioRxiv2026

Virtual-cell verification enables self-auditing AI discovery for immune rejuvenation

Artificial-intelligence agents propose drug-discovery hypotheses faster than experiments can test them, yet their conclusions are rarely verified, against the underlying biology, the predicted perturbation, or the agent's own scoring logic. We close this verification gap with an agentic framework built on three verifiers. First, PACE, a phenotype verifier, resolves immune aging into ten directionally scored, cell-type-resolved gene-set modules, selected for cross-cohort stability across four PBMC cohorts, and outperforms five established aging clocks in an independent in-house aging cohort of 434 elderly donors. Second, CellQ, a virtual-cell verifier built with multi-modal LLM, compresses each single-cell transcriptome into eight discrete tokens aligned to a language model's vocabulary through residual vector quantization; it attains state-of-the-art perturbation prediction and uniquely resolves the weak, module-level shifts that differential-expression recovery misses. Third, an Analyzer-Planner-Auditor agent verifies its own scoring logic: screening 110 compounds in primary human PBMCs, it found aged-down modules more reversible than aged-up modules and revised its objective from an equal-weight mean to a balance-constrained minimum, a self-correction that generalized to an independent 13-compound T-cell assay. By verifying its predictions and its own objective against experiment, the framework points beyond hypothesis-generating AI toward self-correcting AI scientists whose objectives could continuously evolve.

bioinformatics↗

bioRxiv2026

TLR7 Signaling Regulates Embryonic Hematopoietic Stem Cell Development by Sensing microRNA-146a in Vertebrates

The specification of hematopoietic stem cells (HSCs) is tightly regulated by multiple transcription factors and signaling pathways. Inflammatory signaling is pivotal for embryonic HSC development, but the mechanisms that activate it in vivo remain poorly understood. Here, we show that Toll-like receptor 7 (TLR7) is essential for the emergence of embryonic HSC in both zebrafish and mouse embryos. TLR7 deficiency reduces HSC numbers but not primitive or definitive progenitors. Conversely, the TLR7 agonist R848 enhances embryonic HSC development. Mechanistically, TLR7 signaling acts through interferon regulatory factor 5 (IRF5) to induce the expression of inflammatory cytokines, which subsequently activate Notch signaling to promote HSC emergence through a non-cell-autonomous mechanism. Notably, we identify microRNA-146a (miR-146a) as a potential endogenous activator of TLR7, inducing inflammatory signaling and promoting HSC development. Pharmacological treatment with miR-146a significantly increases HSC numbers in zebrafish embryos. Together, our findings reveal a crucial role for miR-146a-TLR7-IRF5 signaling axis in HSC emergence, providing insights into the endogenous factors that drive tonic inflammatory signaling during normal hematopoiesis and suggesting the translational potential of TLR7 agonists and miR-146a for stem-cell-based therapeutics. Significance StatementThe embryonic origin of hematopoietic stem cells (HSCs) requires inflammatory signals, but the endogenous factor that triggers this process remains elusive. We identify microRNA-146a (miR-146a) as a natural activator of Toll-like Receptor 7 (TLR7) signaling, which is essential for HSC emergence. This miR-146a-TLR7 axis functions through IRF5 and inflammatory cytokines to activate the Notch signaling, specifically promoting embryonic HSC development. Our work addresses the critical question of endogenous ligands that mediate tonic inflammatory signaling in normal hematopoiesis, uncovers novel crosstalk between miRNAs and innate immunity in HSC specification, and identifies promising candidates for stem cell-based therapeutics.

developmental biology↗

bioRxiv2026

Distinct HPO axis responses and ovarian aging trajectories to chronic unpredictable mild stress in reproductively young versus middle-aged female mice

Psychosocial stressors are key contributors to ovarian functional decline. Chronic unpredictable mild stress (CUMS) is widely used to model stress-induced premature ovarian insufficiency (POI) in mice; however, current animal models do not adequately reflect middle-aged women, who represent a key population exposed to chronic psychosocial stress, nor do they capture the dynamic progression toward POI. Here, female C57BL/6 mice aged 2 or 6 months were subjected to CUMS for 8 or 12 weeks. Estrous cyclicity, endocrine profiles, ovarian histology, and transcriptomic changes in HPO axis-related tissues were systematically analyzed. After 8 weeks of exposure, 2-month-old mice exhibited impaired pituitary responsiveness to estradiol negative feedback, as evidenced by dysregulated FSH secretion, indicating reduced stress tolerance compared with 6-month-old mice. Following 12 weeks of CUMS exposure, both age groups showed significant reductions in ovarian size and follicle numbers across all developmental stages. These findings demonstrate that CUMS induces an age-dependent progression toward POI, with short-term exposure eliciting compensatory phases preceding overt ovarian insufficiency, accompanied by distinct endocrine and reproductive alterations and differential responsiveness of the HPO axis. Transcriptomic analyses revealed age-dependent stress responses: ovaries of 2-month-old mice displayed marked activation of inflammatory and immune-related pathways, whereas 6-month-old mice showed sustained upregulation of protein kinase-related signaling networks. Notably, the 6-month-old CUMS model more closely recapitulates stress-associated reproductive aging in adult women. In briefCUMS has been widely used to establish mouse models of psychosocial stress-induced POI. However, current animal models do not adequately reflect middle-aged women, who represent a key population exposed to chronic psychosocial stress, nor do they capture the dynamic progression toward premature ovarian insufficiency (POI). In this study, we demonstrate that different durations of CUMS exposure induce distinct stages of ovarian dysfunction in both young and middle-aged mice, with short-term exposure driving age-dependent compensatory phases and prolonged exposure leading to overt POI, both accompanied by divergent endocrine and reproductive alterations, alongside age-dependent changes in HPO axis responsiveness to CUMS. Notably, the 6-month-old CUMS model shows greater clinical relevance in recapitulating chronic psychosocial stress and stress-related reproductive aging in adult women.

physiology↗

bioRxiv2026

Integrated bioinformatics and single-cell analysis identifies vascular aging-related hub genes and immune drivers in atherosclerosis.

Atherosclerosis (AS) is a chronic inflammatory disease closely linked to vascular senescence, yet the specific molecular mechanisms connecting aging processes to AS pathogenesis remain incompletely understood. This study integrated transcriptomic data from GEO datasets (GSE100927 and GSE43292) to identify vascular aging-related differentially expressed genes (VARDEGs). Following batch effect correction, 28 VARDEGs were screened and subjected to functional enrichment, protein-protein interaction (PPI) network analysis, and immune infiltration assessment. Seven hub genes (MMP9, APOE, TNF, ICAM1, PPARG, CYBA, and NCF2) were identified and experimentally validated via qRT-PCR, confirming their significant upregulation in AS samples. Receiver operating characteristic (ROC) analysis demonstrated high diagnostic accuracy for six of these genes (AUC > 0.7), with TNF exhibiting superior performance. Immune infiltration analysis revealed profound alterations in 28 immune cell types, particularly monocytes and T cells, which correlated strongly with hub gene expression. Furthermore, single-cell RNA sequencing analysis (GSE184073) localized the expression of core genes predominantly to monocytes and T cells, highlighting TNF overexpression in T cells as a potential critical driver. Finally, molecular docking simulations suggested that curcumin exhibits strong binding affinity to these hub genes, particularly PPARG, providing a mechanistic basis for its therapeutic potential. Collectively, this study elucidates the landscape of vascular aging-related genes in AS, identifies novel diagnostic biomarkers, and proposes potential therapeutic targets involving immune modulation and natural compounds.

biochemistry↗

bioRxiv2026

Tip growth of root hairs reveals functional divergence of plant expansins

Plant cell wall expansion is essential for plant growth, with expansins promoting wall loosening and creep during diffuse growth. Expansins role in tip growth, such as root hair elongation, is less clear. Here we used CRISPR/Cas9 to knock out root-hair specific -expansins EXPA7 and EXPA18 in Arabidopsis thaliana, abolishing root hair elongation. Complementation with expansin genes from various clades (driven by the EXPA7 promoter) revealed functional differences: some fully restored root hair growth, others only partially restored growth, while others failed, notably two EXPA clades [clade-VIII (EXPA13) and clade-IX (EXPA20)] lacking a conserved Asp considered essential for expansin-induced wall enlargement. Phylogenetic analysis indicated loss of this Asp predated angiosperms. Mutation of this Asp in EXPA7 confirmed its necessity for wall loosening. Members of the other expansin families (EXPB, EXLA and EXLB) failed to restore root hair growth. Chimeric fusions of EXPAs with mCherry revealed differences in trafficking patterns and wall binding among EXPA clades. These results demonstrate functional differences among expansin families and among EXPA clades and demonstrate a genetic platform to analyze functionalities (trafficking, wall binding, wall extension) of EXPA and other wall-modifying proteins during root-hair tip growth. Significance StatementPlant cells can enlarge >100-fold during growth, a process controlled by proteins called expansins. Plants have many expansin proteins that are difficult to study in isolation and whose specific activities and properties have remained elusive. Here, we engineered a root-hairless Arabidopsis mutant as a genetic platform to assess expansin activity in vivo. By introducing various expansins with a fluorescent tag into this mutant, we uncovered an unexpected functional diversity across the expansin superfamily. While some expansins successfully restored root hair growth, others failed, potentially due to differences in protein trafficking, cell wall binding, or evolutionary loss of critical residues required for wall loosening. These findings point to a divergence of expansin functions during >140 million years of plant evolution.

plant biology↗

bioRxiv2026

Sparse mixed codes on shared manifolds for human-like spatial attention in artificial neural networks

Spatial attention is often partitioned into endogenous, exogenous, and social forms, yet it remains unclear whether a single neural circuit can support all three and how their population codes are organized. Here we trained recurrent artificial neural networks (ANNs) with convolutional sensory front-ends on three classic cueing paradigms (central, peripheral, and gaze cues) to reproduce human reaction time (RT) profiles across cue-target onset asynchronies. Despite differences in sensory architecture and visual experience, all ANNs captured the full facilitation-inhibition time course for all three attention types. Model-based targeted dimensionality reduction (mTDR) revealed that cue- and choice-related activity in the advanced cognitive module evolved as rotations within a shared low-dimensional manifold, with angular deflections that mirrored the distinct temporal dynamics of endogenous, exogenous, and social attention. Attentional signals were encoded by highly sparse, distributed population activity: a small subset of recurrent units explained most task-related variance, was sufficient to recover human-like RT patterns after virtual lesioning, and became progressively sparser as training improved performance. At the same time, single unit responses displayed pervasive mixed selectivity, dominated by nonlinear conjunctions of cue type, cue direction, and validity, whose strength and heterogeneity robustly predicted model performance. Together, these results identified low-dimensional geometric rotations, sparse coding, and nonlinear mixed selectivity as core computational principles through which a single recurrent circuit could generate human-like temporal dynamics across endogenous, exogenous, and social orienting, and provided testable predictions for population-level mechanisms of spatial attention in the brain.

neuroscience↗

bioRxiv2026

Differential active adhesion and a capillary instability drive global eversion and dissemination of bacterial colonies

Attractive forces between cells determine the shape and sorting behaviour of bacterial colonies. During colony development, chemical gradients form within the colony but it is unclear how they affect cohesion. Here, we discover that such gradients trigger global eversion of proliferating colonies formed by the human pathogen Neisseria gonorrhoeae. Like a jet, the inner core flows towards the periphery where it is partially dispersed and partially spreads around the core of the colony. Living dispersed cells reform colonies leading to rapid dissemination. The eversion depends on local oxygen depletion, which reduces the activity of the molecular motors that govern self-attraction: before the eversion the colony consists of a weakly cohesive spherical core surrounded by a strongly cohesive shell. An idealized computational model reveals that in this configuration a non-linear instability occurs, akin to a capillary instability, when the thickness of the strongly interacting shell falls below a critical value. We show that the probability for eversion strongly depends on the motor-generated attractive force between bacteria. Overall, our results indicate that chemical gradients induce spontaneous symmetry breaking in a mechanically active colony, thereby triggering a non-linear shape instability. This instability generates large-scale cellular fluxes that redistribute bacteria toward environments more favourable for their growth.

biophysics↗

bioRxiv2026

Mechanistic insights into chromatin modulation by the orphan remodeler ATRX

Alpha-thalassemia/mental retardation syndrome X-linked protein (ATRX) is an ATP-dependent chromatin remodeler that performs diverse functions, including spacing nucleosomes, facilitating the deposition of histone variant H3.3, and preventing replication stress. The mechanism by which ATRX modulates chromatin is unknown. Here, our cryo-EM structure revealed that ATRX recognizes and modulates the nucleosome through its C-terminal regions by embracing and unwrapping [~]18 base-pair nucleosomal DNA near the entry/exit sites in the presence of ADP*BeF3. Strikingly, the DNA minor groove between SHL6 and SHL7 is profoundly deformed by a "pin-like" structure in ATRX, which uniquely intercalates the aromatic side chain of a phenylalanine into the base stackings. Biochemical assays revealed the crucial role of this phenylalanine in sliding the nucleosome without affecting the ATPase activity. Such a "pin-like" structure mimics a "foot-step" on the DNA ladder, which differentiates ATRX from other remodelers. To translocate the DNA on the nucleosome, two more features, including a disordered insertion that contacts the histone surface and a positively charged loop bridging the cross-gyre interactions, serve as essential anchors for the nucleosome modulation by ATRX. Together, we propose a "climbing" model for how ATRX mobilizes the DNA upon ATP hydrolysis.

biochemistry↗

bioRxiv2025

AAV vectors with enhancer-controlled ITR promoters

Adeno-associated virus (AAV) is limited by its packaging capacity and the unwanted promoter activity of inverted terminal repeats (ITRs). Here we utilized mini-enhancers to regulate ITR promoters and drive AAV cargo expression in the absence of the canonical promoters, which not only solved the ITR issue but also released more payload for the cargo. As an example, this new design successfully enabled robust, tissue-specific SpCas9 gene editing via a single AAV, which otherwise requires a dual-AAV system due to the large size of SpCas9.

bioengineering↗

bioRxiv2025

Discovery and optimization of antimicrobial peptides from extreme environments on global scale

The escalating crisis of global antimicrobial resistance (AMR) necessitates the discovery of novel antibiotics. Antimicrobial peptides (AMPs), particularly those from under-explored extreme environments, represent a promising therapeutic class. Here, we introduce SEGMA (Structure-aware Extremophile Genome Mining for Antimicrobial peptides), a computational framework that integrates structure information to systematically mine AMPs from extremophile genomes on a global scale. By analyzing 60,461 extremophile metagenome-assembled genomes (MAGs) from diverse habitats, SEGMA identified 3,298 novel AMPs (termed "extremocins"), which exhibit unique amino acid profiles and physicochemical properties. Leveraging a beam search-guided optimization strategy, we further enhanced selected extremocins to achieve broad-spectrum antimicrobial activity. Experimental validation confirmed potent in vitro efficacy against clinically relevant pathogens. This study underscores the value of structure-aware mining and extremophile microbiomes in expanding the antibiotic arsenal against AMR. HighlightsO_LISEGMA, a structure-aware deep learning framework, mines 3,298 novel antimicrobial peptides (extremocins) from 60,461 extremophile genomes on global scale. C_LIO_LIExtremocins exhibit unique sequence features, and expand known antibiotic space, few of which shows homology to existing AMP databases. C_LIO_LIA beam search-guided optimization strategy enhanced selected extremocins to achieve broad-spectrum activity against clinically relevant pathogens. C_LIO_LIExperimental validation confirmed that candidate extremocins exhibit potent in vitro and in vivo antimicrobial activity, highlighting their therapeutic potential. C_LI

bioinformatics↗

bioRxiv2025

Algorithm-Powered Analyzer for Continuous Electrochemistry: A Toolkit for Real-Time Electrochemical Data Analysis

Real-time biosensors offer significant potential for continuous monitoring of biomolecules. However, their practical application and further development face challenges on data analysis, including poor signal-to-noise ratio when effective sensing area decreases due to signal degradation by biofouling, time-consuming and subjective process of manual or semi-automated peak identification, and inconsistencies in data interpretation, thereby complicating reproducibility and cross-comparison of biosensing results. In this study, we introduce the Algorithm-Powered Analyzer for Continuous Electrochemistry (A-PACE), an open-source toolkit providing streamlined and automated data analysis protocol optimized for real-time electrochemical data analysis. A-PACE comprises three modules: (1) Change point detection for automated identification of peak regions; (2) Baseline fitting with multiple algorithms to handle diverse electrochemical signals and baseline screening to eliminate unreasonable fits; (3) Large dataset input with user-friendly interface for data processing, exporting and visualization. To ensure optimal performance, we curated a training set of 2000 electrochemical curves from an extensive electrochemical dataset (>100,000 curves) collected over the past five years under varied electrochemical measurement conditions. These curves were analyzed using 2046 algorithm sets to identify a default algorithm set, compared to existing tools, demonstrating its capability in peak detection and baseline fitting across a broad spectrum of electrochemical data. Case studies reveal the A-PACE can analyze month-long in vitro serum data and week-long in vivo intravenous blood data, extending the operational lifespan of real-time sensors. This cross-platform compatible toolkit supports both real-time and post-processing analysis, reducing the processing time from minute level per signal by human labeling to second level by A-PACE and subjectivity associated with electrochemical signal processing. By providing this solution for continuous electrochemical data analysis, A-PACE enhances biosensors applications in medical diagnostics and continuous monitoring with high throughput analysis.

bioengineering↗