Biology subjects

Wu, Y.

Publications and source records attributed to Wu, Y..

At least 343 records · Page 19Linked to original sources

bioRxiv2025

Tracing Siderophore Precursors to Primary Metabolism for Ecological Applications

Microbial fitness depends on balancing between primary metabolism supporting basic survival, and secondary metabolism producing metabolites for environmental adaptation. These two systems are interconnected, with most secondary metabolites deriving from primary metabolic precursors. However, systematic frameworks for studying their relationships across diverse microbes remain limited. Using siderophores--iron-chelating secondary metabolites crucial for microbial competition--as a model, we developed a stepwise "siderophore-monomer-precursor-pathway analysis" framework to trace the biosynthetic connections from siderophore structures to primary metabolism. We applied this framework to an expanded SIDERITE database containing 1018 siderophore structures. To demonstrate practical applications, we identified specific precursors utilized by the beneficial rhizobacterium Bacillus amyloliquefaciens but not by the plant pathogen Ralstonia solanacearum. Supplementing these precursors under iron-limited conditions enhanced both siderophore production in B. amyloliquefaciens and its inhibitory activity against R. solanacearum. This work establishes a direct link between primary metabolism and siderophore-mediated microbial interactions, offering new strategies for pathogen suppression through targeted metabolic interventions.

biochemistry↗

bioRxiv2025

SCRIPT: predicting single-cell long-range cis-regulation based on pretrained graph attention networks

Single-cell cis-regulatory relationships (CRRs) are essential for deciphering transcriptional regulation and understanding the pathogenic mechanisms of disease-associated non-coding variants. Existing computational methods struggle to accurately predict single-cell CRRs due to inadequately integrating causal biological principles and large-scale single-cell data. Here, we present SCRIPT (Single-cell Cis-regulatory Relationship Identifier based on Pre-Trained graph attention networks) that infers single-cell CRRs from transcriptomic and chromatin accessibility data. SCRIPT incorporates two key innovations: graph causal attention networks supported by empirical CRR evidence, and representation learning enhanced through pretraining on atlas-scale single-cell chromatin accessibility data. Validation using cell-type-specific chromatin contact data demonstrates that SCRIPT achieves a mean AUC of 0.9, significantly outperforming state-of-the-art methods (AUC: 0.68). Notably, SCRIPT obtains a threefold improvement in predicting long-range CRRs (>100 Kb) compared to existing methods. Applying SCRIPT to Alzheimers disease and schizophrenia, we establish a framework for prioritizing disease-causing variants and elucidating their functional effects in a cell-type-specific manner. By uncovering molecular genetic mechanisms undetected by existing computational methods, SCRIPT provides a roadmap for advancing genetic diagnosis and target discovery.

bioinformatics↗

bioRxiv2025

Single Cell Landscape of Sex-specific Drivers of Alzheimers Disease

BackgroundSex differences in Alzheimers disease (AD) have been documented for decades, and many sex-specific molecular contributors to AD have been discovered through bulk omics analysis of brain tissues. RNA sequencing (RNAseq) at single cell resolution provides an opportunity to characterize transcript associations with AD in a cell type-specific matter. Here, we investigated sex-specific gene expression associations with neuropathology and cognitive manifestation of AD (endophenotypes) leveraging a large single-nucleus transcriptomic dataset consisting of 1.64 million nuclei from dorsolateral prefrontal cortex (DLPFC) tissue of 424 unique donors from the Religious Orders Study and Memory and Aging Project (ROS/MAP; AD Knowledge Portal syn2580853). MethodsROS/MAP single-nucleus RNAseq data (snRNA-seq) were processed through a rigorous pipeline. In total, eight major cell types from DLPFC were identified. We first performed sex-stratified and sex-interaction association analyses by fitting negative binomial mixed models in relation to {beta}-amyloid load (A{beta}), paired helical filament tau tangle density (tau), global cognitive performance at last visit, and longitudinal cognitive trajectory. We then conducted gene-set enrichment analysis to identify functional signaling pathways enriched for sex-specific associations. Lastly, we compared differential gene expression patterns and intercellular communication profiles between sexes and diagnostic groups among major cell types. For replication, sex-specific associations were examined using snRNA-seq derived from DLPFC tissue-derived of an independent set of 84 donors from The Seattle Alzheimers Disease Brain Cell Atlas (SEA-AD) study. Results68% of the ROS/MAP participants were female, and 52% were diagnosed with AD dementia. We first identified several disease-dependent or sex-dependent cell subpopulations. Then we identified 2,660 sex-specific associations involving 2,110 genes with A{beta} (51%), tau (21%), and cognitive performance (29%). 60% female-specific associations were for A{beta}, and 49% male-specific associations were with tau. The vast majority (93%) of female protective associations were from neurons, and most (76%) of female risk associations were from glial cells. Nine of the female-specific associations involving eight unique genes were replicated in the SEA-AD cohort, including ADGRV1 and OR3A3 with A{beta}; IFI27L1, LYRM1, STAP2, and TSTD2 with tau; PDYN with global cognition; and TMEM50B with longitudinal cognitive decline. All replicated associations except TMEM50B were observed in neurons. Furthermore, the preponderance of protective female-specific associations in neurons was also recapitulated in the SEA-AD cohort. Sex-specific associations were enriched for genes in the immune, inflammation, and damage-related stress response pathways, and microglia presented the most sex-specific enriched pathways. Finally, we identified six ITGB1-mediated microglia-specific incoming signals that may play a role in female-specific risk for A{beta} accumulation. ConclusionOur study highlights the transcriptome-wide, single-cell landscape of sex-specific molecular associations with AD neuropathology and cognitive decline. We delineate the full scope of sex-specific transcript associations, differential expression, signaling pathway, and cell-cell communication network changes in each major DLPFC cell type, while identifying and replicating several female-specific gene associations in neurons to help direct future mechanistic studies.

neuroscience↗

bioRxiv2025

Long-range massively parallel reporter assay reveals rules of distal enhancer-promoter interactions

Long-range activation is an essential property of enhancers, yet the features determining long-range enhancer activities have not been systematically investigated due to a lack of high-throughput methods to measure long-range enhancer activities efficiently. To address this gap, we present a long-range massively parallel reporter assay (long-range MPRA), an assay allowing the measurement of hundreds of enhancers at multiple distances from a genome-integrated promoter. The long-range MPRA assay features two independent landing pads, allowing modular control over the genome-integrated promoter and enhancer libraries. We showcased the capability of long-range MPRA by testing over 300 K562 enhancers, as well as a set of enhancer combinations, at distances up to 100 kb. We found that enhancers long-range activities are primarily determined by their intrinsic strength, with strong enhancers retaining more activity over long distances, while weak enhancers rapidly lose activity. Additionally, we found that GATA1-bound enhancers are more resistant to distance-dependent loss of activity, suggesting that TF binding also modulates long-range function. Finally, testing long-range enhancer activities with three different promoters (HBE, HBG and GAPDH) revealed that long-range enhancer-promoter interactions rely on not only enhancer properties but also promoter responsiveness.

systems biology↗

bioRxiv2025

Senescence-induced reparative fibroblasts enable scarless wound healing in aged murine skin.

It has been reported that elderly individuals exhibit reduced scarring during the wound healing process compared to younger adults. However, the underlying mechanisms responsible for this phenomenon remain poorly understood. Here, we revealed that aged mice exhibited more pronounced regenerative outcomes compared to young mice, characterized by increased hair follicle numbers and collagen fiber features closer to normal skin. Single-cell sequencing identified a reparative fibroblast subpopulation (Prss35+Fib) enriched in the aged group, which promotes regeneration through communication with epithelial cells, macrophages, and T cell subpopulations via PTN and EREG signaling. Spatial transcriptomics validated this communication pattern by elucidating cell proximity and locating the regenerative niche in the upper dermis. Finally, EREG treatment significantly enhanced regenerative outcomes in young mice, while the small wound model of aged mice, lacking the reparative fibroblast and EREG signaling, failed to achieve regeneration. Collectively, our findings advance the understanding of regenerative plasticity in aging and provide new insights for designing scarless therapeutic strategies.

cell biology↗

bioRxiv2025

Survey of hippocampal responses to sound in naive mice reveals widespread activation by broadband noise onsets

Recent studies suggest some hippocampal (HC) neurons respond to passively presented sounds in naive subjects, but the specificity and prevalence of these responses remain unclear. We used Neuropixels probes to record unit activity in HC and auditory cortex (ACtx) of awake, untrained mice during presentation of diverse sound stimuli. A subset of HC neurons exhibited reliable, short-latency responses to passive sounds, including tones and broadband noise. HC units showed evidence of tuning for tone frequency but not spectrotemporal features in continuous dynamic moving ripples. Across sound types, HC responses overwhelmingly occurred at stimulus onset; they quickly adapted to continuous sounds and did not respond at sound offset. Among all sounds tested, broadband noise was by far most effective at driving HC activity, with response prevalence scaling with increasing spectral bandwidth and density. Responses to noise were also far more common than visual flash stimuli. Sound-evoked face movements, quantified by total facial motion energy (FME), correlated with population-level HC activity, but many individual units responded regardless of movement, indicating both auditory and motor-related inputs. These results show that abrupt, acoustic events are sufficient to activate HC neurons in the absence of learning or behavioral engagement. This suggests a possible role for HC in detecting salient environmental changes and supports the idea that auditory inputs contribute directly to HC function. Given emerging links between hearing loss and dementia, these findings highlight a potential pathway by which auditory deafferentation could impact cognitive health.

neuroscience↗

bioRxiv2025

The 4th GPCR Dock: assessment of blind predictions for GPCR-ligand complexes in the era of AlphaFold

The GPCR Dock competitions are a series of community-wide assessments of computational structural modeling and ligand docking for G protein-coupled receptors, a central class of drug targets in the human proteome. The assessments are designed to provide an unbiased overview of progress and to pinpoint areas in need of refinement, thus shaping and directing the development of computational modeling methodologies for GPCRs. In the footsteps of 2008, 2010, and 2013 assessments, the 4th round (GPCR Dock 2021) featured five diverse and challenging prediction targets and coincided with the emergence of AlphaFold, the revolutionary Artificial Intelligence (AI) technology for protein structure prediction from amino acid sequences. This report summarizes the assessment results and challenges in the context of the convergent evolution of computational and experimental structure determination techniques for GPCRs. We demonstrate that thanks to the breakthroughs in AI-powered modeling, the accuracy of modern computational models of GPCR complexes with peptides can not only approach but also exceed that of low-resolution experimental structures. However, our results highlight the unwavering need for high-resolution GPCR structure determination, especially with small molecule chemicals, and for the concurrent application of physics-based and expert-guided modeling methods.

molecular biology↗

bioRxiv2025

From Decay to Rhythm: Sustained Biological Oscillators Require More Than Chemistry Alone

Many biological systems exhibit sustained, coherent oscillations despite substantial noise. In contrast, chemical reaction systems governed by Markovian dynamics cannot sustain coherent ensemble oscillations, as the stochastic nature of state transitions inevitably causes the oscillation period to drift. To overcome this limitation, we propose a general mechanism that couples a Markovian system to at least one other degree of freedom, such as a mechanical system, to achieve noiseresistant coherent oscillations with a desired frequency. We introduce two approaches, targeting different dynamical modes in the Markovian system, and derive a governing principle for the non-Markovian system by analyzing the eigenvalues of the coupled dynamics. This principle is validated using a trimolecular reaction system, successfully producing sustained and coherent oscillations. Our study provides theoretical insights into how any chemical system can be coupled to another non-Markovian system to produce sustained and coherent oscillations with a precise period. We also make a fundamental observation that stability and control of stable limit cycles must arise from the non-Markovian part of the coupled system.

biophysics↗

bioRxiv2025

Functional relevance of CASP16 nucleic acid predictions as evaluated by structure providers

Accurate biomolecular structure prediction enables the prediction of mutational effects, the speculation of function based on predicted structural homology, the analysis of ligand binding modes, experimental model building and many other applications. Such algorithms to predict essential functional and structural features remain out of reach for biomolecular. Here, we report quantitative and qualitative evaluation of nucleic acid structures for the CASP16 blind prediction challenge by 12 of the experimental groups who provided nucleic acid targets. Blind predictions accurately model secondary structure and some aspects of tertiary structure, including reasonable global folds for some complex RNAs, however, predictions often lack accuracy in the regions of highest functional importance. All models have inaccuracies in non-canonical regions where, e.g., the nucleic-acid backbone bends or a base forms a non-standard hydrogen bond. These bends and non-canonical interactions are integral to form functionally important regions such as RNA enzymatic active sites. Additionally, the modeling of conserved and functional interfaces between nucleic acids and ligands, proteins, or other nucleic acids remains poor. For some targets, the experimental structures may not represent the only structure the biomolecular complex occupies in solution or in its functional life-cycle, posing a future challenge for the community.

biophysics↗

bioRxiv2025

A class of COPI adaptors regulates processing of transmembrane receptors by reinforcing their Golgi retention

Many transmembrane (TM) receptors undergo essential post-translational modification in the Golgi prior to their delivery to the plasma membrane. Whether and how the passage and accompanied modification of these receptors across the Golgi is controlled remains unclear. Here, we show that leptin receptor overlapping transcript (LEPROT) and LEPROT-like 1 (LEPROTL1) regulate receptor activation by securing their sufficient Golgi retention. LEPROTs localize to cis and medial Golgi in a COPI-dependent manner. Deletion of LEPROTs in cells causes expedited release of receptors transiting through the Golgi, and leakage of some Golgi-enriched proteins into the endomembrane compartments. LEPROTs interact directly with COPI coats and simultaneously engage a variety of integral membrane proteins with relatively long TM domains at acidic pH. Loss of LEPROTs dysregulates receptor activity, including that of EGFR and TFRC, due to defective modification. Collectively, LEPROTs serve as a class of COPI adaptors for TM receptors, ensuring adequate preparation, which is vital for subsequent action on the plasma membrane.

cell biology↗

bioRxiv2025

Uncovering the molecular basis of high morphinan product efficiency in opium poppy through Multi-omics integrated analysis with multi-capsules

Exploring the genetic landscape and corresponding regulatory mechanisms influencing morphine and related alkaloid production efficiency in the opium poppy (Papaver Somniferum L.) is important for sustainable medicinal production. However, information regarding the corresponding medicinal properties of poppy subspecies remains elusive, and the correlation between agronomic traits and morphine production remains unclear. Therefore, this study aims to investigate the distinction between two poppy subspecies: Shan Yang (SY) and Lan Tian (LT). Physiological data revealed that SY exhibited greater tolerance to environmental stress and a higher morphine content than LT, especially during the reproductive stage. To investigate genetic and molecular mechanisms underlying different tolerance traits and morphine synthesis efficiencies, a comprehensive comparison of genomic, transcriptomic, and metabolomic data was conducted, showing significantly higher single nucleotide polymorphism (SNP) frequency in SY (23.78%) compared to LT (23.69%). The proportions of SKIP (Skipped Exon) and MIR (Multi Intron Retention) were higher in SY than in LT. SY showed significantly higher gene expression related to benzylisoquinoline alkaloid synthesis, especially those involved in the steps from 1,2 dehydroreticulinium to morphine, narcotoline and noscapine, compared to LT. The upregulated expression of phenylpropanoid biosynthesis-related genes contributes to its more resistant agronomical traits. It plays a synergistic role in alkaloid production. The higher morphine content in SY resulted from an integrated effect controlled at different levels. Summarily, our findings offer new insights into the molecular mechanisms of morphine synthesis and present valuable gene resources for improving poppy cultivars with higher morphine content.

genomics↗

bioRxiv2025

Chemical Compensation to Mechanical Loss in CellMechanosensation

Mammalian cells sense and respond to environmental changes using a complex and intelligent system that integrates chemical and mechanical signals. The transduction of mechanical cues into chemical changes modulates cell physiology, allowing a cell to adapt to its microenvironment. Understanding how the chemical and mechanical regulatory modules interact is crucial for elucidating mechanisms of mechanosensation and cellular homeostasis. In this study, we find that cells exhibit non-monotonic changes in cell volume and intracellular pH when subjected to physical stimuli and varying degrees of actomyosin cytoskeleton disruption. We discover that these non-monotonic responses are mediated by a chemical compensation mechanism, where the attenuation of actomyosin activity stimulates the activity of PI3K/Akt pathway. This, in turn, activates sodium-hydrogen exchanger 1 (NHE1), resulting in elevated intracellular pH and increased cell volume. Furthermore, we identify a competitive interaction between the PI3K/Akt and MAPK/ERK pathways - two major regulators of cell proliferation and motility. This competition modulates the chemical compensation based on the relative activities of these pathways. Our mathematical modeling reveals the network structure that is essential for establishing the non-monotonic response. Interestingly, this regulatory system is altered in HT1080 fibrosarcoma, highlighting a potential mechanistic divergence in cancer cells in contrast to their normal-like counterpart, such as NIH 3T3 and HFF-1 fibroblasts. Overall, our work reveals a compensatory mechanism between chemical and mechanical signals, providing a novel infrastructure to elucidate the integrated mechanochemical response to environmental stimuli.

biophysics↗

bioRxiv2025

Integrating affinity chromatography in the platform process for Adenovirus purification

Adenoviral vectors (AdVs) are gaining prominence in cancer therapy and vaccine development, posing the need for a modern AdV manufacturing platform. Current AdV purification by ion-exchange chromatography indeed struggles to achieve the products yield and purity of processes that employ affinity technologies. Addressing these challenges, this study presents the first affinity-based process that delivers high product yield and clearance of host cell proteins and DNA (HCPs and hcDNA) in two chromatography steps. The affinity capture utilizes resins functionalized with peptide ligands that target AdV hexon proteins (AEFFIWNA and TNDGPDYSSPLTGSG), and provide high capacity (>5{middle dot}1010 vp per mL of resin) and yield under mild elution conditions ([~]50% at pH 8.0). Peptide-functionalized adsorbents prepared using different matrices (polymethylmethacrylate vs. agarose) were initially tested to compare the purification performance. AEFFIWNA-SulfoLink resin was selected for its yield of cell- transducing AdVs ([~]50%) and removal of HCPs and hcDNA (144-fold and 56-fold). Similarly, TNDGPDYSSPLTGSG-Toyopearl(R) resin afforded [~]50% yield and >50-fold reduction of con- taminants. Additional gains in product purity were achieved by optimizing the washing step, which removed free hexon proteins and additional HCPs. All peptide-functionalized resins maintained their purification performance for ten cycles upon regeneration at pH [~]2.0. The purification process was assembled to include clarification, affinity capture in bind-and-elute mode using AEFFIWNA-SulfoLink resin, and polishing in flow-through mode using mixed- mode resins. The optimized process provided a yield [~]50% of cell-infecting units (IFU) and a product titer [~]107 IFU/mL, along with residual HCP and hcDNA levels ([~]10 ng/mL and 44 ng per dose, respectively) that meet clinical requirements.

bioengineering↗

bioRxiv2025

The multiomics landscape of small peptides encoded by long non-coding RNA-derived sORFs in rice

Long non-coding RNAs (lncRNAs), representing the non-coding RNA regions, constitute a significant portion of the genomes in complex organisms. Recent studies suggest that some lncRNAs have the capability to encode peptides. However, the presence of the lncRNA-derived sORFs-encoded polypeotides (LSEPs) in plants is not well understood. In this study, we developed a multi-omics approach that encompasses transcriptomics, translatomics (Ribo-seq), and proteomics to identify of LSEPs in rice. Among the 2764 identified lncRNAs, 42.69% were found to be bound by the ribosome, indicating a potential for encoding. Optimized small peptide extraction protocol was further developed, and the small peptides from rice leaves were extracted and subjected to LC-MS/MS analysis, leading to the identification of a total of 403 LSEPs across four constructed search databases. This work confirms the peptide-coding ability of lncRNAs in plants. Collectively, our study establishes an efficient multi-omics method for identifiying small peptides encoded by lncRNAs, which may be valuable for large-scare screening of LSEPs in plants.

plant biology↗

bioRxiv2025

Rapid optimization of protein function in mammalian cells via microbe-independent deep assembly and screening

Random mutagenesis and deep mutational scanning (DMS) are widely used to optimize proteins by oversampling large libraries in microbial cells, selecting cells expressing favorable variants, and sequencing to identify enriched variants. However, these methods are slow and costly, require effort to establish selection methods for a given protein function, and do not yield data on lower-performing variants. Here, we describe Microbe-Independent Deep Assembly and Screening (MIDAS), a rapid, high-throughput method for optimizing protein function directly in mammalian cells. As a demonstration, we applied MIDAS to improve a newly designed neurotransmitter bioluminescent indicator (NeuBI) for acetylcholine (ACh). MIDAS systematically optimized interdomain linkers, identified mutational hotspots, and exhaustively scanned amino acid combinations, in each case relating specific sequences to protein performance. MIDAS-optimized variants exhibited improved performance in vivo, highlighting the potential of MIDAS for improving protein function in mammalian systems.

bioengineering↗

bioRxiv2025

QuickProt: A Fast and Accurate Homology-Based Protein Annotation Tool for Non-Model Organism Genomes

Despite the increasing number of genomes, the annotation of protein-coding genes is still lacking. In some genomes where transcriptome data is not available, various tools have been developed to annotate genes based on homologous proteins, but each tool has its limitations. Here, we propose quickprot, a user-friendly command-line tool that constructs a set of redundancy-free gene models from the target genome based on the homologous protein sequences of a set of closely related species. We tested its applicability in stonefish, and the results showed that it has high accuracy and runs faster than existing tools. This low-cost, high-precision annotation method is expected to become a useful tool for genome annotation, which will contribute to the research of comparative genomics. The software is implemented in Python and licensed under the MIT License. The source code, documentation, and tutorials can be obtained at https://github.com/thecgs/quickprot.

bioinformatics↗

bioRxiv2025

ATG2A engages Rab1a and ARFGAP1 positive membranes during autophagosome biogenesis

Autophagosomes form from seed membranes that expand through bulk-lipid transport via the bridge-like lipid transporter ATG2. The origins of the seed membranes and their relationship to the lipid transport machinery are poorly understood. Using proximity labeling and a variety of fluorescence microscopy techniques, we show that ATG2A localizes to extra-Golgi ARFGAP1 puncta during autophagosome biogenesis. ARFGAP1 itself is dispensable during macroautophagy, but among other proteins associating to these membranes, we find that RAB1 is essential. ATG2A co-immunoprecipitates strongly, albeit indirectly, with RAB1A, and siRNA-mediated depletion of RAB1A/B blocks autophagy downstream of LC3B lipidation, similar to ATG2A depletion. Further, when either autophagosome formation or the early secretory pathway is perturbed, ARFGAP1 and RAB1A accumulate at ectopic locations with autophagic machinery. Our results indicate that ATG2A engages a RAB1A complex on select early secretory membranes in support of autophagosome biogenesis. Significance StatementThis study expounds upon the role of early secretory membranes in autophagosome biogenesis. The authors demonstrate that RAB1/ARFGAP1-positive membranes are essential to autophagy and are recruited to the phagophore assembly site at an early step of autophagosome biogenesis. These membranes interact with the bridge-like lipid transport protein ATG2A and are positive for LC3B and WIPI2, suggesting that RAB1 membranes are a direct source for autophagosome formation.

cell biology↗

bioRxiv2025

Human Body Single-Cell Atlas of 3D Genome Organization and DNA Methylation

Higher-order chromatin structure and DNA methylation are critical for gene regulation, but how these vary across the human body remains unclear. We performed multi-omic profiling of 3D genome structure and DNA methylation for 86,689 single nuclei across 16 human tissues, identifying 35 major and 206 cell subtypes. We revealed extensive changes in CG and non-CG methylation across almost all cell types and characterized 3D chromatin structure at an unprecedented cellular resolution. Intriguingly, extensive discrepancies exist between cell types delineated by DNA methylation and genome structure, indicating that the role of distinct epigenomic features in maintaining cell identity may vary by lineage. This study expands our understanding of the diversity of DNA methylation and chromatin structure and offers an extensive reference for exploring gene regulation in human health and disease.

genomics↗