Biology subjects

Xiao, B.

Publications and source records attributed to Xiao, B..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

A biGWAS strategy reveals the genetic architecture of the interaction between wheat and Blumeria graminis f. sp. tritici

BackgroundWheat powdery mildew, caused by Blumeria graminis f. sp. tritici (Bgt) is one of the most significant diseases affecting global wheat production. Breeding for disease resistance (R) genes against Bgt often follows a boom-bust cycles, where cultivars with effective resistance are widely deployed on an expanding area until virulence emerges in the avirulence (Avr) pathogen population. While extensive effort has been devoted to identifying and cloning R genes, Avr genes remain relatively understudied, limiting our understanding of R-Avr interactions. That said, understanding R-Avr interactions is crucial for developing durable resistance strategies. ResultsWe conducted whole genome sequencing on 245 Bgt isolates collected from major wheat-growing regions in China, identifying 120 genetically unique isolates. Each of these unique isolates was inoculated and phenotyped on a diverse panel of wheat germplasm. Through Genome-Wide Association Analysis (GWAS) in both Bgt and wheat, we identified 65 Avr loci and 251 R loci overlapping with nine and eight cloned Avr or R genes, respectively. On average, each isolate carries eight Avr alleles, ranging from one to 17. Little geographical preference for Avr alleles or their combinations was observed, suggesting that disease resistance breeding against this pathogen should be coordinated at the national level. The level of resistance level is positively correlated with the number of R alleles carried by a wheat line, and the average frequency of an R allele is 2% among the wheat panel, indicating the potential for accumulating R alleles in breeding programs. We mapped 212 R-Avr interactions based on joint GWAS using both plant and pathogen genomes and cross-species epistasis, where a network of interactions was formed between wheat and Bgt. These interactions indicate that pyramiding five major R loci has the potential to confer resistance to half of the Avr loci. As a proof of concept, we successfully verified two previously described R-Avr pairs using tobacco experiments. Furthermore, we provided molecular validation evidence for three new Avr genes, including Bgt-50651, BgtE-5826 and BgtE-20009, and two new R-Avr interactions. Among them, Bgt-50651 interacts with Pm1a, Pm2a, and another unidentified R gene located near the Pm6/Pm52 interval. ConclusionOur study provides a framework for understanding the genetic interaction between plants and pathogens. The discovery of novel R/Avr loci and their complex interaction network underscores the need to integrate crop and pathogen genetic background, particularly the R/Avr allele composition, into breeding program design. These findings have significant implications for developing durable resistance strategies in wheat alongside offering valuable insights into the broader dynamics of plant-pathogen interactions.

genomics↗

bioRxiv2025

The fetal hydrops-associated single-residue mutation L322P abolishes mechanical but not chemical activation of the PIEZO1 ion channel

The mechanically activated PIEZO1 ion channel is genetically linked to numerous physiological and pathophysiological processes. For example, deleting PIEZO1 in mice leads to defective lymphatic vessel development, while nonsense mutations in humans are associated with autosomal recessive generalized lymphatic dysplasia (GLD) and non-immune hydrops fetalis. However, it remains unclear whether PIEZO1-dependent biological processes are directly mediated by its intrinsic mechanosensitivity. Here we identified a human fetal hydrops-associated single-residue mutation, L322P (corresponding to L329P in mouse PIEZO1), which completely abolishes PIEZO1s response to mechanical stimuli while maintaining normal plasma membrane expression and responsiveness to its chemical activators, Yoda1 and Jedi1. Remarkably, the mechanical response of the mutant can be restored by Yoda1. These findings demonstrate a direct link between the loss of PIEZO1s mechanosensitivity and the pathophysiological phenotype of fetal hydrops, and raise the therapeutic potential of using PIEZO1 chemical activators to restore the mechanosensitivity of PIEZO1 missense mutants that are associated with genetic diseases such as GLD and hydrops fetalis. Significance StatementGenetic deletion studies have revealed the diverse cellular, physiological, and pathophysiological roles of the mechanically activated PIEZO1 ion channel. However, whether these functions are directly mediated by its mechanosensitivity has remained experimentally unaddressed. In this study, we identified a novel fetal hydrops-associated single-residue mutation, hPIEZO1-L322P, which specifically abolishes PIEZO1s mechanical response while retaining its chemical activation. Remarkably, the mechanical response of the mutant can be fully restored by the PIEZO1 chemical activator Yoda1. These findings address the long-standing question of whether PIEZO1 relies on its mechanosensitivity to mediate in vivo functions, provide critical insights into the mechanosensing mechanism of PIEZO1, and highlight the therapeutic potential of using PIEZO1 chemical activators to rescue the loss of mechanosensitivity caused by missense mutations.

physiology↗

bioRxiv2025

Single-Cell RNA Sequencing Reveals Hemocyte Heterogeneity, Differentiation Trajectories, and Viral Tropism in Shrimp (Macrobrachium rosenbergii) Infected with Decapod Iridescent Virus 1

Decapod Iridescent Virus 1 (DIV1) is a highly pathogenic virus threatening crustacean aquaculture. Hemocytes, the primary immune cells in shrimp, play crucial roles in host defense, yet their transcriptional heterogeneity and differentiation dynamics under viral infection remain poorly understood. Here, we characterize hemocyte subpopulations in Macrobrachium rosenbergii before and after DIV1 infection at single-cell resolution. We identified 12 distinct hemocyte clusters with unique molecular signatures. DIV1 infection induced significant shifts in hemocyte composition, with clusters 0, 5, 6, and 8 expanding, while clusters 9 and 10 exhibited resistance. Clusters 0, 5, and 8 were highly susceptible, showing elevated viral gene expression. Pseudo-time analysis revealed that DIV1 accelerates hemocyte differentiation, driving prohemocytes and semi-granulocytes toward terminally differentiated granulocytes and hyalinocytes, particularly the immune-active HC4 subpopulation. Functional enrichment analysis showed that susceptible hemocytes were associated with viral processes, oxidative stress, and phagocytosis, while resistant clusters exhibited distinct immune signatures. Furthermore, knockdown experiments confirmed the antiviral roles of PPO2, RAB11B, LAMP1, and Dorsal, as their silencing led to increased viral loads, higher MCP protein levels, and reduced shrimp survival. Taken together, our study provides the first single-cell resolution atlas of shrimp hemocytes under DIV1 infection, revealing their transcriptional heterogeneity, differentiation trajectories, and immune responses. These findings offer novel insights into shrimp antiviral immunity and lay the foundation for disease-resistant breeding and immunostimulatory strategies in aquaculture. ImportancesDecapod Iridescent Virus 1 (DIV1) is a highly pathogenic virus threatening crustacean aquaculture, causing severe economic losses. Hemocytes, the primary immune cells in shrimp, play crucial roles in antiviral defense, yet their diversity, differentiation, and responses to viral infection remain poorly understood. In this study, we employed single-cell RNA sequencing (scRNA-seq) to comprehensively characterize hemocyte subpopulations in Macrobrachium rosenbergii before and after DIV1 infection. We identified 12 transcriptionally distinct hemocyte clusters and revealed significant changes in hemocyte composition following infection. Notably, we discovered that specific clusters (0, 5 and 8) were highly susceptible to DIV1, while others (9 and 10) exhibited resistance. Additionally, we reconstructed hemocyte differentiation trajectories and found that DIV1 infection drives hematopoiesis, accelerating the transition of progenitor cells into terminally differentiated immune-active hemocytes. Functional analysis highlighted key antiviral effectors, including PPO2, RAB11B, LAMP1, and Dorsal, which were significantly upregulated in response to infection. These findings provide novel insights into shrimp antiviral immunity and viral pathogenesis, offering potential targets for disease-resistant breeding and immunostimulatory interventions.

immunology↗

bioRxiv2025

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

Understanding the relationship between protein sequence and function remains a longstanding challenge in bioinformatics, and to date the lions share of related tools parse proteins at the domain or motif levels. Here, we define "protein words" as an alternative to "motif" for studying proteins and functional prediction applications. We first developed an unsupervised tool we term Protein Wordwise, which parses analyte protein sequences into protein words by analyzing attention matrices from a protein language model (PLM) through a community detection algorithm. We then developed a supervised sequence-function prediction model called Word2Function, for mapping protein words to GO terms through feature importance analysis. We compared the prediction performance of our protein word-based toolkit with a motif-based method (PROSITE) for multiple protein function datasets. We also assembled a functionally diverse data resource we term PWNet to support evaluation of protein words for predicting functional residues across 10 tasks (e.g., diverse biomolecular binding, catalysis, and ion-channel activity). Our toolkit outperforms PROSITE in all the examined datasets and tasks. By abandoning domains and instead using attention matrices from a PLM for automatic, systematic, and annotation-agnostic parsing of proteins, our toolkit both outperforms currently available tools for functional annotations at the residue and whole-protein levels and suggests innovative forms of protein analysis well-suited to the post-AlphaFold era of biochemistry.

bioinformatics↗

bioRxiv2025

An online GPCR drug discovery resource

G protein-coupled receptors (GPCRs) have been targeted across all therapeutic areas, mediate the actions of 516 (36% of all) approved drugs and are being targeted by 337 agents in clinical trials. So far, 121 GPCRs are targets of approved drugs and 30 additional receptors have entered clinical trials and may expand the drugged GPCRome in the coming years. Here, we describe an online resource of GPCR drugs, clinical trial agents, targets and disease indications. This resource offers unique reference data, analysis and visualization, and is availed as a new section, Drugs and Agents in trial integrated in the GPCR database, GPCRdb. Furthermore, it includes a target selection tool for prioritization of receptors for future drug discovery. This up-to-date knowledgebase will help identify strategies and trends in current GPCR drug discovery and give insights into which already drugged, or yet untapped targets have the largest potential in specific diseases.

pharmacology and toxicology↗

bioRxiv2024

White Spot Syndrome Virus Immediate-Early Protein (wsv100) Antagonizes the NF-kappaB Pathway to Inhibit Innate Immune Response in shrimp

Viruses have evolved sophisticated strategies to evade host immune defenses, often targeting conserved signaling pathways. In shrimp, the NF-{kappa}B signaling pathway is crucial for antiviral immunity, yet its regulation during White Spot Syndrome Virus (WSSV) infection remains poorly understood. Here, we identify and characterize wsv100, an immediate-early (IE) protein of WSSV, as a key antagonist of the NF-{kappa}B pathway. wsv100 interacts directly with the transcription factor Dorsal and the adaptor protein IMD, preventing Dorsal phosphorylation by Pelle kinase. This inhibition suppresses Dorsals nuclear translocation and downstream expression of antimicrobial peptides (AMPs), essential for antiviral defense. Knockdown of wsv100 reduced WSSV replication, increased Dorsal phosphorylation, and enhanced AMP expression, leading to higher survival rates in infected shrimp. Conversely, wsv100 overexpression promoted WSSV replication and AMPs suppression. These findings reveal a novel immune evasion mechanism by which WSSV subverts the NF-{kappa}B pathway and highlight the evolutionary arms race between hosts and viruses. This study enhances our understanding of host-virus interactions and offers potential targets for antiviral strategies in shrimp aquaculture. Author SummaryThe innate immune system is the first line of defense against viral infections in invertebrates, with the NF-{kappa}B signaling pathway playing a central role in orchestrating antiviral responses. In this study, we uncover a novel immune evasion mechanism employed by White Spot Syndrome Virus (WSSV), a devastating pathogen in shrimp aquaculture. The WSSV immediate-early protein wsv100 directly targets the transcription factor Dorsal and prevents its phosphorylation by Pelle kinase, a critical step in NF-{kappa}B activation. This interaction suppresses Dorsals nuclear translocation and downstream expression of antimicrobial peptides (AMPs), thereby impairing the shrimps ability to mount an effective immune response. Knockdown of wsv100 significantly reduced WSSV replication and enhanced shrimp survival, while wsv100 overexpression had the opposite effect. These findings not only elucidate how WSSV exploits the NF-{kappa}B pathway but also underscore its central role in shrimp antiviral immunity. This work advances our understanding of host-virus co-evolution and provides a foundation for developing novel antiviral strategies to mitigate the economic losses caused by WSSV in shrimp aquaculture.

microbiology↗

bioRxiv2024

Universal features of Alternative splicing in response to diverse environmental stimuli in rice and the vital roles of TFs in AS regulation

BackgroundPre-mRNA alternative splicing (AS) plays essential roles in response to environmental stimuli in plants. However, the universal and specific features of splicing in response to diverse environmental conditions remain not fully understood. Recent studies have shown the co-transcriptional characteristics of splicing, which lead to the reasonable speculation that the elements or factors regulating transcription can also affect splicing. Among of which, the effects of transcription factors on alternative splicing in plants under environmental stimuli are still confusing. A large amount 0f public available RNA sequencing data are valuable resources to be re-analyzed for answering questions beyond the aims of their original studies. ResultsWe explored the universal features of AS using a standard RNA-seq dataset TENOR, which stems from rice samples under controlled diverse conditions to provide comprehensive and comparable AS analysis under various conditions. We found that AS widely occurs in rice under stimuli, with significant tissue specificity, temporal dynamics, commonality among different stresses or treatments as well as significant difference between differential alternative splicing and expressed genes (DASGs and DEGs) in rice under environmental stimuli. The majority of DASGs under various stresses are splicing factors and transcription factors. The correlation analysis shows that the expression level of transcription factors is significantly correlated with the PSI of AS events. The predominant transcription factors correlating with alternative splicing events come from bHLH, bzip and hsfa families. We validated the effects of transcription factors on AS by analyzing RNA-seq data from transcription factor mutants and found substantial differential AS events between mutants and wild type. Furthermore, the significant correlation was discovered between the transcription levels of transcription factors and splicing factors. ConclusionWe found universal features of AS and the predominant AS events of SFs and TFs in plants under diverse environments. We propose that TFs might regulated AS of download genes partly by changing the patterns of their own transcription and splicing to further regulate the transcription of SFs. This work illuminate the studies on the possible mechanisms by which TFs modulate AS in plant, especially under environmental stimuli.

plant biology↗

bioRxiv2024

Heat Shock Factor Regulation of Antimicrobial Peptides Expression Suggests a Conserved Defense Mechanism Induced by Febrile Temperature in Arthropods

Temperature is a critical factor influencing the outbreak and progression of viral diseases in organisms. Febrile temperatures have been shown to enhance immune competence and reduce viral replication in various species. However, the underlying mechanisms remain largely unknown. In this study, we investigate the molecular mechanisms by which elevated temperatures confer resistance to viral infections, focusing on the role of heat shock factor 1 (HSF1) in regulating antimicrobial effectors rather than the traditional target genes molecular chaperones. Using shrimp Litopenaeus vannamei as a model, we demonstrate that febrile temperatures induce HSF1, which in turn upregulates antimicrobial peptides (AMPs) that target viral envelope proteins and inhibit viral replication. Importantly, this is the first to show that HSF1 directly binds to the heat shock elements (HSE) motifs of AMPs both in shrimp and Drosophila S2 cells, suggesting this may be a conserved regulatory mechanism in arthropods. Additionally, our findings highlight the role of HSF1 beyond the classical heat shock response, revealing its critical function in modulating innate immunity. These insights provide new avenues for managing viral infections in aquaculture and other settings by leveraging environmental temperature control.

immunology↗

bioRxiv2024

Regulatory Functional Landscape of the HMX1 Gene for Normal Ear Development

Enhancers, through the combinatorial action of transcription factors (TFs), dictate both the spatial specificity and the levels of gene expression, and their aberrations can result in diseases. The association between HMX1 and its downstream enhancer with ear deformities has been previously documented. However, the pathogenic variations and molecular mechanisms underlying the bilateral constricted ear (BCE) malformations remain unclear. This study identifies a copy number variation (CNV) encompassing three enhancers that induces BCE. These enhancers, collectively termed the positional identity hierarchical enhancer cluster (PI-HEC), co-regulate spatiotemporal expression of the HMX1 gene in a coordinated and synergistic mode, each displaying unique activity-location-structure characteristics. A thorough exploration of this regulatory locus reveals that specific motif clusters within the PI-HEC variably modulate its activity and specificity, with the high mobility group (HMG) box combined with Coordinator and homeodomain (HD)-TFs notably influencing them respectively. Our findings based on various types of mouse models, reveal that both aberrant Hmx1 expression in the fibroblasts of the basal pinna, originating from neural crest cells, and ectopic expression in the distal pinna structures contribute to the abnormal development of the outer ear, including the cartilage, muscle, and epidermis tissues. This study deepens our understanding of mammalian ear morphogenesis and sheds light on the complexity of gene expression regulation by enhancers and specific sequence motifs.

developmental biology↗

bioRxiv2024

A hemagglutinin and neuraminidase biased immunological memory shapes the dynamics of antibody responses to Influenza A virus

Influenza A virus (IAV) infection establishes a more diverse immunological memory to different viral proteins compared to vaccination. We hypothesized that the relative abundance of pre-existing immune memory to different viral antigens could skew post-infection antibody responses. To explore this, we generated mouse models with either an IAV hemagglutinin (HA)- or neuraminidase (NA)-biased immunological memory. We inoculated groups of mice with cocktails of isogenic viruses bearing antigenically-distinct HA (H3v) or NA (N2v) chosen to span the IAV H3N2 human circulation history. We challenged the mice with two H3N2 strains of opposing virulence and antigenic distance (AD) and examined the post-infection antibody landscapes. In both challenges, immune-naive mice seroconverted to both HA and NA whereas in primed mice, antibody response was detected to the antigen for which there is no pre-existing memory. In cases where the homologous antibody response was blunted, there was diversification on the breadth of response to antigenically-related strains with low baseline titers. Our findings clarifies the concept of "original antigenic sin" and demonstrate a mechanism by which the dynamics of antibody responses to HA and NA after infection can be altered by pre-existing immunity.

immunology↗

bioRxiv2024

Crosstalk of the MAP3K1 and EGFR pathways mediates gene-environment interactions that disrupt developmental tissue closure

Aberrant signal transduction pathways can adversely derail developmental processes. One such process is embryonic eyelid closure that requires MAP3K1. Map3k1 knockout mice have defective eyelid closure and an autosomal recessive eye-open at birth phenotype. In utero exposure to dioxin, a persistent environmental toxicant, causes the same eye defect in Map3k1+/- hemizygous but not wild type pups. Here we explore the mechanisms of Map3k1 (gene) and dioxin (environment) interactions (GxE) in the tissue closure defect. We show that, acting through the AHR, dioxin activates EGFR signaling, which in turn depresses MAP3K1-dependent JNK activity. This effect of dioxin is exacerbated by Map3k1 heterozygosity. Therefore, dioxin exposed Map3k1+/- embryonic eyelids have a marked reduction of JNK activity, accelerated differentiation and impeded polarization in the epithelial cells. Knocking out Ahr or Egfr in eyelid epithelium attenuates the open-eye defects in dioxin-treated Map3k1+/- pups, whereas knockout of Jnk1 and S1pr, encoding the S1P receptors upstream of the MAP3K1-JNK pathway, potentiates dioxin toxicity. Our novel findings suggest that dioxin and genes of the AHR, EGFR and S1P-MAP3K1-JNK pathways constitute a multifactorial mechanism underlying tissue closure abnormalities. Summary statementThe crosstalk between a global environmental pollutant and the pre-existing genetic conditions is mediated through interactive signaling pathways, resulting in anatomical tissue closure abnormalities in development.

developmental biology↗

bioRxiv2024

Loss of the APP regulator RHBDL4 preserves memory in an Alzheimer's disease mouse model.

Characteristic cerebral pathological changes of Alzheimers disease (AD) such as glucose hypometabolism or the accumulation of cleavage products of the amyloid precursor protein (APP), known as A{beta} peptides, lead to sustained endoplasmic reticulum (ER) stress and neurodegeneration. To preserve ER homeostasis, cells activate their unfolded protein response (UPR). The rhomboid-like-protease 4 (RHBDL4) is an enzyme that participates in the UPR by targeting proteins for proteasomal degradation. We demonstrated previously that RHBLD4 cleaves APP in HEK293T cells, leading to decreased total APP and A{beta}. More recently, we showed that RHBDL4 processes APP in mouse primary mixed cortical cultures as well. Here, we aim to examine the physiological relevance of RHBDL4 in the brain. We first found that brain samples from AD patients and an AD mouse model (APPtg) showed increased RHBDL4 mRNA and protein expression. To determine the effects of RHBDL4s absence on APP physiology in vivo, we crossed APPtg mice to a RHBDL4 knockout (R4-/-) model. RHBDL4 deficiency in APPtg mice led to increased total cerebral APP and amyloidogenic processing when compared to APPtg controls. Contrary to expectations, as assessed by cognitive tests, RHBDL4 absence rescued cognition in 5-month-old female APPtg mice. Informed by unbiased RNAseq data, we demonstrated in vitro and in vivo that RHBDL4 absence leads to greater levels of active {beta}-catenin due to decreased proteasomal clearance. Decreased {beta}-catenin activity is known to underlie cognitive defects in APPtg mice and AD. Our work suggests that RHBDL4s increased expression in AD, in addition to regulating APP levels, leads to aberrant degradation of {beta}-catenin, contributing to cognitive impairment.

animal behavior and cognition↗

bioRxiv2024

Probing the Link Between Vision and Language in Material Perception

We can visually discriminate and recognize a wide range of materials. Meanwhile, we use language to express our subjective understanding of visual input and communicate relevant information about the materials. Here, we investigate the relationship between visual judgment and language expression in material perception to understand how visual features relate to semantic representations. We use deep generative networks to construct an expandable image space to systematically create materials of well-defined and ambiguous categories. From such a space, we sampled diverse stimuli and compared the representations of materials from two behavioral tasks: visual material similarity judgments and free-form verbal descriptions. Our findings reveal a moderate but significant correlation between vision and language on a categorical level. However, analyzing the representations with an unsupervised alignment method, we discover structural differences that arise at the image-to-image level, especially among materials morphed between known categories. Moreover, visual judgments exhibit more individual differences compared to verbal descriptions. Our results show that while verbal descriptions capture material qualities on the coarse level, they may not fully convey the visual features that characterize the materials optical properties. Analyzing the image representation of materials obtained from various pre-trained data-rich deep neural networks, we find that human visual judgments similarity structures align more closely with those of the text-guided visual-semantic model than purely vision-based models. Our findings suggest that while semantic representations facilitate material categorization, non-semantic visual features also play a significant role in discriminating materials at a finer level. This work illustrates the need to consider the vision-language relationship in building a comprehensive model for material perception. Moreover, we propose a novel framework for quantitatively evaluating the alignment and misalignment between representations from different modalities, leveraging information from human behaviors and computational models.

neuroscience↗

bioRxiv2023

Development of a Nanoparticle-Based Tendon-Targeting Drug Delivery System to Pharmacologically Modulate Tendon Healing

Tendon regeneration following acute injury is marred by a fibrotic healing response that prevents complete functional recovery. Despite the high frequency of tendon injuries and the poor outcomes, including functional deficits and elevated risk of re-injury, there are currently no pharmacological therapies in clinical use to enhance the healing process. Several promising pharmacotherapies have been identified; however, systemic treatments lack tendon specificity, resulting in poor tendon biodistribution and perhaps explaining the largely limited beneficial effects of these treatments on the tendon healing process. To address this major unmet need, we leveraged our existing spatial transcriptomics dataset of the tendon healing process to identify an area of the healing tendon that is enriched for expression of Acp5. Acp5 encodes tartrate-resistant acid phosphatase (TRAP), and we demonstrate robust TRAP activity in the healing tendon. This unexpected finding allowed us to refine and apply our existing TRAP binding peptide (TBP) functionalized nanoparticle (NP) drug delivery system (DDS) to facilitate improved delivery of systemic treatments to the healing tendon. To demonstrate the translational potential of this drug delivery system, we delivered the S100a4 inhibitor, Niclosamide to the healing tendon. We have previously shown that genetic knockdown of S100a4 enhances tendon healing. While systemic delivery of Niclosamide did not affect the healing process, relative to controls, TBP-NP delivery of Niclosamide enhanced both functional and mechanical outcome measures. Collectively, these data identify a novel tendon-targeting drug delivery system and demonstrate the translational potential of this approach to enhance the tendon healing process.

bioengineering↗

bioRxiv2023

Central pore-opening structure and gating of the mechanosensitive PIEZO1 channel

PIEZO1 is a mechanically activated cation channel that undergoes force-induced activation and inactivation to control diverse physiological processes1-4. However, the distinct functional states and gating transitions remain structurally undefined. In response to changes in membrane forces, PIEZO1 transitions from a curved to a flattened shape, which might lead to opening and subsequent inactivation of the ion-conducting pore5,6. Here we employed a PIEZO1 mutant to capture various conformational states including an intermediate state with an opened central pore, allowing us to reveal the gating dynamics of this multiple-gate system. Upon transition from the curved to the partially flattened intermediate state, the trimeric cap undergoes a downward and rotational motion to open the lateral cap-gate, while the loop that connects the cap to the pore-lining inner helix acts as a spring-linker, switching from an extended to a compressed state. Along with the partial flattening of the peripheral blades, these conformational changes collectively dilate the cap-gate, spring-gate and the hydrophobic transmembrane-gate, leading to ion permeation through the transmembrane pore. Upon inactivation, while the blades remain flattened, the cap and spring-linker return to an up and extended state. Molecular dynamics simulations verify the ion-permeating pathway and the distinct ion-conducting states of the assigned close, intermediate, open, and inactivated structures. Mutagenesis and electrophysiological characterizations reveal that domains and residues involved in conformational dynamics of the cap and spring-linker are critical for mechanical activation of PIEZO1. Together, these studies have structurally defined the distinct functional states and the curvature-based activation and inactivation mechanisms of PIEZO1.

neuroscience↗

bioRxiv2023

The Role of MAP3K1 in the Development of the Female Reproductive Tract

Mitogen-Activated Protein 3 Kinase 1 (MAP3K1) is a dynamic signaling molecule with a plethora of cell-type specific functions, most of which are yet to be understood. Here we describe a role for MAP3K1 in the development of female reproductive tract (FRT). MAP3K1 kinase domain-deficient (Map3k1{Delta}KD) females exhibit imperforate vagina, labor failure, and infertility. These defects correspond to a shunted Mullerian duct (MD), the principle precursor of the FRT, in embryos, while they manifest as a contorted caudal vagina with abrogated vaginal-urogenital sinus fusion in neonates. In epithelial cells, MAP3K1 acts through JNK and ERK to activate WNT, yet in vivo MAP3K1 is crucial for WNT activity in mesenchyme associated with the caudal MD. Expression of Wnt7b is high in wild type, but low in Map3k1 knockout MD epithelium and MAP3K1-deficient keratinocytes. Correspondingly, conditioned media derived from MAP3K1-competent epithelial cells activate TCF/Lef-luciferase reporter in fibroblasts, suggesting that MAP3K1-induced factors released from epithelial cells trans-activate WNT signaling in fibroblasts. Our results reveal a temporal-spatial and paracrine MAP3K1-WNT crosstalk contributing to MD caudal elongation and FRT development. HighlightsO_LIMAP3K1 deficient female mice exhibit imperforate vagina and infertility C_LIO_LILoss of MAP3K1 kinase activity impedes Mullerian duct (MD) caudal elongation and fusion with urogenital sinus (UGS) in embryogenesis C_LIO_LIThe MAP3K1-MAPK pathway up-regulates WNT signaling in epithelial cells C_LIO_LIMAP3K1 deficiency down-regulates Wnt7b expression in the MD epithelium and prevents WNT activity in mesenchyme of the caudal MD C_LI

developmental biology↗

bioRxiv2022

Translucency perception emerges in deep generativerepresentations for natural image synthesis

Humans constantly assess the appearance of materials to plan actions, such as stepping on icy roads without slipping. Visual inference of materials is challenging because a given material can appear dramatically different in various scenes. This problem especially stands out for translucent materials (e.g., skin, soap), whose appearance strongly depends on lighting, geometry, and viewpoint. Despite this, humans can still distinguish between different materials, and it remains unsolved how to systematically discover visual features pertinent to material inference. Here, we developed an unsupervised style-based image generation model to identify perceptually relevant dimensions for material appearances from natural photographs. We find the model can synthesize images of convincing material appearances. Importantly, without supervision, human-understandable scene attributes, including objects shape, material, and body color, spontaneously emerge in the models layer-wise latent space in a scale-specific manner. Crucially, the middle-layers of the latent space selectively encode translucency features correlated with perception, suggesting that translucent impressions are established in mid-to-low spatial scale features. Our findings indicate that humans may use the scale-specific statistical structure of natural images to efficiently represent material properties across contexts, and our approach is widely applicable in discovering perceptually relevant features from complex stimuli for many visual inference tasks.

neuroscience↗

bioRxiv2021

Crystal or Jelly? Effect of Color on the Perception of Translucent Materials with Photographs of Real-world Objects

Translucent materials are ubiquitous in nature (e.g. teeth, food, wax), but our understanding of translucency perception is limited. Previous work in translucency perception has mainly used monochromatic rendered images as stimuli, which are restricted by their diversity and realism. Here, we measure translucency perception with photographs of real-world objects. Specifically, we use three behavior tasks: binary classification of "translucent" versus "opaque", semantic attribute rating of perceptual qualities (see-throughness, glossiness, softness, glow and density), and material categorization. Two different groups of observers finish the three tasks with color or grayscale images. We find that observers agreements depend on the physical material properties of the objects such that translucent materials generate more inter-observer disagreements. Further, there are more disagreements among observers in the grayscale condition in comparison to that in color condition. We also discover that converting images to grayscale substantially affects the distributions of attribute ratings for some images. Furthermore, ratings of see-throughness, glossiness, and glow could predict individual observers binary classification of images in both grayscale and color conditions. Lastly, converting images to grayscale alters the perceived material categories for some images such that observers tend to misjudge images of food as non-food and vice versa. Our result demonstrates color is informative about material property estimation and recognition. Meanwhile, our analysis shows mid-level semantic estimation of material attributes might be closely related to high-level material recognition. We also discuss individual differences in our results and highlight the importance of such consideration in material perception.

neuroscience↗