Biology subjects

Xiao, Z.

Publications and source records attributed to Xiao, Z..

At least 19 recordsLinked to original sources

bioRxiv2026

Ileitis abolishes tolerogenic functions of the enterohepatic bile acid pool

Bile acids (BAs) regulate lipid uptake, epithelial integrity, and immune responses in the gut. Hepatocytes synthesize primary BAs, which microbiota metabolize into secondary metabolites. Together, these species form a composite pool that circulates enterohepatically between the liver and intestines. Here, we show that immunoregulatory outputs of the enterohepatic BA pools involve competition between multiple BA species for individual nuclear receptors and are dependent on intestinal health. In healthy mice, the primary BA, tauro {beta} muricholic acid (t{beta}MCA) antagonized ROR{gamma}t-mediated Th17 function in the presence of two secondary BAs (tDCA, tLCA) which activated ROR{gamma}t. Conversely, ileitis in Crohns disease patients and Tnf{delta}ARE mice depleted primary BAs by reducing the number and function of BA transporting enterocytes. In mice, ileitis driven t{beta}MCA depletion enhanced tDCA and tLCA mediated ROR{gamma}t activation and supported Th17 cell function. Replenishing t{beta}MCA in Tnf{delta}ARE mice reestablished BA dependent Th17 cell regulation. Thus, intra pool competition underpins BA immunoregulatory functions and reveals new opportunities for precision Crohns disease therapy.

immunology↗

bioRxiv2026

mRNA-LNP therapy restores systemic nucleoside imbalance in a mitochon-drial DNA depletion syndrome

Mitochondrial DNA depletion syndromes (MDS) are inherited conditions caused by pathogenic variants in mitochondrial DNA maintenance genes. Most MDS are severe, fatal and incurable conditions. Mitochondrial neurogastrointestinal encephalomyopathy (MNGIE) is an MDS resulting from loss-of-function mutations in the TYMP gene, encoding Thymidine Phosphorylase (TP). Systemic nucleoside accumulation caused by TP deficiency disrupts mitochondrial nucleotide homeostasis, which underlies disease progression and mortality. Current treatments, including liver and hematopoietic stem cell transplantation, partially restore TP activity but are invasive, carry substantial risk and are limited by donor availability. Here, we establish TYMP-mRNA in lipid nanoparticles (hTYMP-mRNA-LNPs) as a safe non-viral protein-replacement therapy for MNGIE. Intravenous administration of hTYMP-mRNA-LNPs induced robust hepatic TP expression in a mouse model of MNGIE, was well tolerated and restored circulating nucleosides to wild-type levels within hours, lasting up to three weeks, at a preclinical minimally effective dose of 0.25mg/kg. To facilitate repeat administration and patient access, we demonstrate enhanced efficiency of subcutaneous mRNA-LNP delivery by co-administration of recombinant or mRNA-encoded (SPAM1-mRNA-LNPs) hyaluronidase, achieving effective hepatic TP expression and systemic nucleoside clearance. These findings establish mRNA-LNP-mediated protein replacement as a therapeutic strategy for a primary mitochondrial disease where transient liver-targeted expression is sufficient to correct a systemic metabolic defect. More broadly, our results support the development of mRNA-LNP therapeutics and their subcutaneous delivery as a generalizable platform for treating monogenic diseases, through repeatable, non-viral protein replacement.

pharmacology and toxicology↗

bioRxiv2026

A statistical framework for disease classification with scRNA-Seq Data

Motivation Bulk RNA-sequencing based disease classification obscures cell-type specific signals by aggregating gene expression across heterogeneous tissues. Although single-cell RNA-seq tackles this limitation, summarizing and deriving patient-level predictors while retaining biological interpretability remains challenging. Standard sparse methods, such as lasso, often select arbitrary scattered gene sets without leveraging the underlying cell type structures revealed by single-cell data. Results: We introduce a two-stage statistical framework for interpretable patient-level disease classification from single-cell data. We first construct a gene-by-cell-type pseudobulk matrix that summarize single-cell expression for each patient. We then fit a multinomial logistic regression model with sparse group lasso penalty, inducing sparsity at both the cell type and gene levels. Across datasets of systemic lupus erythematosus, COVID-19, and colorectal cancer, our framework either matched or outperformed lasso and random forest baselines. Importantly, our models recovered biologically coherent, cell-type specific gene signatures consistent with known disease mechanisms, demonstrating improved interpretability without sacrificing predictive accuracy. Availability: The scSGL R package implementing the Sparse Group Lasso classification framework described in this paper is available at https://github.com/zhiweixiao/scSGL (version 0.99.1). Code to reproduce the actual cross-validation, model fitting, and prediction analyses on the three datasets reported here is available at https://github.com/zhiweixiao/scSGL-manuscript.

bioinformatics↗

bioRxiv2026

Heart rate dynamics embed a shared representation of individual brain organization and cognitive function

Idiosyncratic brain functional organization shapes intricate cardiac dynamics through central-peripheral autonomic interactions, yet a comprehensive mapping between multi-scale heart rate dynamics and whole-brain functional architecture remains lacking. Here, combining highly comparative time-series analysis with multi-modal neuroimaging and intracranial electrophysiology, we establish heart rate dynamics as a physiological fingerprint that maps onto whole-brain functional architecture. Partial least squares analysis revealed a generalizable latent axis linking reduced heart rate temporal complexity and elevated micro-scale predictability to heightened resting-state functional connectivity across default mode, salience, and sensorimotor networks. This covariance aligns spatially with serotonergic, noradrenergic, and cholinergic neuromodulatory gradients, persists across physiological confound controls and cross-session validations, derives support from human intracranial electrophysiological recordings, and extends to active cognitive states. Furthermore, brain-covarying heart rate signatures underpin the predictive capacity of heart rate dynamics for individual fluid and crystallized intelligence, demonstrating a shared representational substrate. Our findings demonstrate a robust neurovisceral coupling architecture, establishing well-characterized heart rate dynamics as a scalable, neurobiologically anchored window into human brain functional organization and cognitive traits.

neuroscience↗

bioRxiv2026

SALL2 constrains TEAD4 by maintaining repressive chromatin to restrict trophectoderm identity

Embryonic development is marked by the successive restriction of developmental potential and the specification of embryonic and extraembryonic lineages. Yet, how these lineage decisions are established, and how the epigenome is remodelled to promote and restrict cell fate transitions, remains poorly understood. Here, we demonstrate that SALL2 knockdown in primed human pluripotent stem cells (hPSCs) triggers a trophectoderm (TE)-like phenotype, characterized by palisade-like morphology and the up-regulation of TE-associated genes. Mechanistically, SALL2 physically interacts with the key TE driver TEAD4 and maintains bivalent, repressive chromatin (H3K4me3/H3K27me3) at TE-specific loci. Reduced SALL2 led to enhanced TEAD4 occupancy and disrupted H3K27me3 and increased active chromatin marks at TE genes. Importantly, depletion of TEAD4 abolished the TE-like phenotype induced by SALL2 knockdown, demonstrating that TEAD4 is required for the downstream effects of SALL2 loss. In support of this, blastoid-like aggregates can be generated from primed hPSCs with SALL2 knocked down. Together, our findings identify SALL2 as a key epigenetic barrier that restrains TE lineage commitment by limiting TEAD4-dependent activation of the trophoblast transcriptional program. Key findingsO_LISALL2 acts as a molecular barrier to trophectoderm differentiation. C_LIO_LISALL2 suppresses the trophectoderm by maintaining bivalent repressive chromatin at TEAD4-bound loci. C_LIO_LIBlastoid-like structures can be generated from primed-state media when SALL2 was knocked down. C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=91 SRC="FIGDIR/small/737659v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@42cafaorg.highwire.dtl.DTLVardef@11c040borg.highwire.dtl.DTLVardef@4d9ffborg.highwire.dtl.DTLVardef@42546a_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2026

Complex coacervation reshapes the aggregation landscape of tau

Biomolecular condensates are increasingly implicated in protein aggregation, yet their contribution is often reduced to that of concentrating reactants. Whether the phase state of a protein itself changes how it aggregates remains unclear. Using complex coacervates of a tau repeat-domain construct (K12) with heparin, we show that phase separation does not simply accelerate tau aggregation but redirects it along a distinct kinetic regime. Amyloid nucleation and growth are largely associated with the condensed phase, where intact phase-separated mixtures nucleate with a markedly shortened lag phase, whereas the corresponding dilute phase contributes little to overall amyloid formation. Aggregation kinetics in this regime become largely decoupled from total protein concentration. Because phase equilibrium pins the composition of the dense phase, additional tau partitions largely into the coexisting dilute phase without substantially altering the reacting population. This weak concentration dependence provides a kinetic signature of compartmentalized aggregation, and it recurs across chemically distinct coacervates formed with heparin, RNA, and polyglutamate, pointing to a general feature of coacervate-mediated tau assembly rather than a heparin-specific effect. Aggregation within coacervates also yields fibrils with altered morphology and secondary structure, suggesting access to alternative regions of the assembly landscape, and shows reduced sensitivity to bulk pH perturbations. Together, these results show that condensation changes tau aggregation by defining the local reaction environment: phase equilibrium buffers the dense-phase composition, in turn altering aggregation kinetics and the properties of the amyloid formed.

biophysics↗

bioRxiv2026

Suspension-Based Human Esophagoids Recapitulate WNT2B-Dependent Regulation of Esophageal Basal Progenitors

Background & AimsThe human esophagus undergoes a tightly regulated developmental program, transitioning from a simple columnar epithelium in early development to a mature stratified squamous tissue essential for adult barrier function. Here, we constructed a developmental cell atlas spanning early development to adulthood and leveraged it to generate physiologically relevant in vitro models. MethodsWe utilized single-cell RNA sequencing and spatial multiplex proteomics of human esophageal tissue from early development through adulthood. We established a feeder-supported 2D culture system and a Matrigel-free, suspension-based 3D esophagoid model in a 96-well format. To interrogate WNT2B function, we analyzed patient tissue harboring WNT2B loss-of-function mutations and performed WNT inhibition in esophagoids. ResultsSequencing profiling identified stage-specific epithelial populations: multiciliated and GPC3 basal cells were unique to early development; KRT14 basal and CRNN luminal cells were adult-specific; and COL17A1, LY6D, and KRT4 populations were shared across stages. Spatially organized WNT2B, KIT, and VWC2 mesenchymal subtypes were identified. The 2D system preserved both epithelial and mesenchymal compartments with transcriptional fidelity. Esophagoids exhibited basal-to-luminal stratification, mesenchymal compartmentalization, and required stromal interactions for formation. WNT2B repressed self-renewal of TP63 basal progenitors and inhibited proliferation, confirmed by pharmacologic inhibition of WNT in the in vitro esophagoids. ConclusionsWe present a stage-resolved atlas of human esophageal development and a scalable esophagoid platform recapitulating esophageal architecture. WNT2B regulates progenitor dynamics by restraining basal cell self-renewal. Esophagoids provide a physiologically relevant system for modeling esophageal development and disease. Visual Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=139 SRC="FIGDIR/small/733451v1_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@1af5743org.highwire.dtl.DTLVardef@8a061dorg.highwire.dtl.DTLVardef@1975c3forg.highwire.dtl.DTLVardef@292ce9_HPS_FORMAT_FIGEXP M_FIG C_FIG Key Findings and ImplicationsO_LIDevelopmental Atlas: The study presents a comprehensive transcriptional and structural atlas of the human esophageal epithelium, identifying conserved and stage-specific epithelial populations from early development to adulthood. Notably, stage-specific gene expression of multiciliated and GPC3 basal cells were unique to early development, while KRT14 basal and CRNN luminal cells were adult specific, with COL17A1+ (basal), LY6D+ (epibasal), and KRT4+ (middle), shared at all stages. C_LIO_LIMesenchymal Diversity: Spatial and transcriptional profiling revealed distinct mesenchymal subtypes, including WNT2B, KIT, and VWC2 populations, which are spatially organized and contribute to epithelial-mesenchymal signaling. These findings reinforce the role of stromal-epithelial interactions in esophageal development. C_LIO_LI2D Esophagus Cell Culture System: A feeder-supported 2D cell culture system was developed that retains both epithelial and mesenchymal populations, preserving transcriptional fidelity and enabling long-term expansion for mechanistic studies. C_LIO_LI3D Esophagoid Model: A suspension-based 3D organoid system was optimized using a 96-well format, enabling high-throughput generation of esophagoids with robust epithelial stratification and mesenchymal compartmentalization. These organoids recapitulate key features of the human esophagus, including basal-to-luminal organization, and require stromal interactions for formation. C_LIO_LIFunctional Role of WNT2B in esophagus development: Both in vivo and in vitro analyses demonstrated that WNT2B regulates epithelial progenitor dynamics and tissue architecture by repressing self-renewal of basally localized TP63+ cells and inhibiting proliferation. Loss-of-function models and WNT pathway modulation confirmed its role in epithelial-mesenchymal crosstalk and organoid integrity. C_LI

developmental biology↗

bioRxiv2026

A multi-agent system for spine MRI report generation from multi-sequence imaging

Spinal pathology is a leading cause of pain and disability worldwide. Spine magnetic resonance imaging (MRI) is central to clinical evaluation, yet its interpretation remains complex and time-consuming, requiring integration of information across multiple imaging sequences and anatomical regions. Despite recent advances in automated MRI analysis, effectively combining multi-sequence data while preserving sequence-specific diagnostic information remains an open challenge. Here we present SpineAgent, a multi-agent framework for spine MRI report generation built upon a multi-sequence foundation model trained on routine clinical data from 32,047 patients and 453,683 MRI series, comprising a total of 13,441,191 MRI slices. To accommodate diverse modalities of sequences, we first pre-train two DINOv3-based encoders separately on T1- and T2-weighted sequences. We then introduce a continual training strategy that learns a synthesizer to embed images of other sequences using the T1 and T2 encoders, producing patient-level embedding that integrates various signals across MRI sequences. Using these embeddings, SpineAgent achieves state-of-the-art performance, with mean 10.8% AUROC improvement across 17 spinal condition-prediction tasks compared to the best competing method, and demonstrates strong generalizability under cross-manufacturer and cross-cohort evaluation. Beyond classification, SpineAgent enables pathology localization by identifying findings-relevant slices and segmenting pathological regions. It also supports multimodal image-report retrieval, providing a solid foundation for scalable and explainable MRI report generation. We further integrate these validated capabilities of SpineAgent into 37 specialized agents for condition diagnosis, pathological-region localization, and clinically-similar-cases retrieval. Finally, we incorporate their outputs as structured tokens within a Medical Report Agent trained end-to-end for report generation. Through both automated metrics and expert evaluation by five radiologists, SpineAgent achieves leading performance in spine MRI report generation. Together, SpineAgent introduces a continual training approach for multi-sequence spine MRI understanding. By decomposing report generation into clinically grounded subtasks addressed by specialized agents, the SpineAgent framework enables accurate, interpretable and generalizable spine MRI reporting across diverse imaging sequences and anatomical regions.

bioinformatics↗

bioRxiv2026

Genos-m: a foundation model for human-associated microbial genomes

Human-associated microbial genomes encode extensive strain-level diversity and niche-specific gene repertoires that are critical to host health. However, these complex sequence features remain difficult to capture using general-purpose DNA foundation models, highlighting the need for dedicated representation learning tailored to the human microbiome. Here, we introduce Genos-m, an open-source foundation model for human-associated microbial genome representation. Genos-m was pretrained on approximately 1.2 trillion nucleotide tokens from a curated microbial genome corpus, including human-associated prokaryotic isolates, high-quality metagenome-assembled genomes (MAGs) and bacteriophages, supplemented with GTDB species-level representative genomes to broaden prokaryotic taxonomic breadth. The model uses a sparsely activated Mixture-of-Experts (MoE) Transformer architecture, with 4.7 billion total parameters, approximately 330 million activated parameters per forward pass and a maximum context length of one million base pairs. We evaluated frozen Genos-m representations across short-sequence and gene-level tasks, biosynthetic gene cluster (BGC)-based regional sequence tasks, whole-genome strain phenotype prediction, and zero-shot transfer on prokaryote-related RNAfitness assays. Across these benchmarks, Genos-m consistently ranked among the leading comparison models, with the best performance in five of eight gene-fitness regression tasks and in BGC type classification. Using sparse autoencoders, we identified sparse features in Genos-m hidden activations that aligned with annotated ORFs, intergenic regions, and tRNA and rRNA loci. In downstream applications, Genos-m-derived genome-informed species representations in-corporated into a human microbiome self-supervised learning model improved colorectal cancer (CRC)-control classification over conventional species-abundance random forest models. Genos-m also generated stable sample-level embeddings from as few as 10,000 metagenomic reads, retaining gut microbial community structure that distinguished geographic origin and aligned with enterotypes defined from full-depth taxonomic profiles. Together, these results support Genos-m as a reusable representation model for microbial genomes and metagenomes, with conclusions bounded by the reported datasets, task definitions and evaluation protocols. Genos-m model weights, inference code, and usage documentation are publicly available on GitHub (https://github.com/BGI-HangzhouAI/Genos-m) and Hugging-Face (https://huggingface.co/BGI-HangzhouAI/Genos-m).

bioinformatics↗

bioRxiv2026

OneGenomeRice (OGR): A Genomic Foundation Model for Rice

The transition of genomics to a predictive intelligence discipline is driven by the advent of genomic foundation models. While substantial progress has been observed in all-life and human-centric models, plant species, particularly for the staple crops, remains hindered by a lack of models. Here we introduce OneGenome-Rice (OGR), a rice (Oryza sativa) genomic foundation model pre-trained on a genomic dataset comprising 422 high-quality genomes of cultivated and wild rice. OGR is engineered upon a Mixture of Experts (MoE) transformer architecture with 1.25-billion parameters and supports an ultra-long context window of up to 1 million base (Mb) pairs at single-nucleotide resolution. A comprehensive benchmark demonstrated that OGR significantly outperforms existing state-of-the-art multi-plant or all-life genome models in 11 categories (e.g. motif identification, sweep detection, etc). We further demonstrated the utility of OGR in several downstream applications, such as indica-japonica subspecies introgression analysis, identification of agronomy trait-associated functional loci and prediction of gene expression from DNA sequences. These results establish OGR as a promising foundational computational infrastructure for rice functional genomics and precision breeding. The OGR and its fine-tuned models, including pretrained weights, training code and the rice genomic benchmark suit, have been fully opened.

genomics↗

bioRxiv2026

Reliability and Spatiotemporal Autocorrelation of Acoustic Indices: Implications for Biodiversity Monitoring

Passive acoustic monitoring (PAM) is increasingly applied in biodiversity research, yet its reliability as a proxy for biodiversity remains insufficiently evaluated. In particular, the spatiotemporal autocorrelation inherent in acoustic indices of PAM is rarely quantified, despite its importance for the standardized application of acoustic monitoring. We conducted an integrated study to investigate these issues using a complete grid-based monitoring system covering the entire region (100 grids of 1 km x 1 km) in southern subtropical climatic zones. Acoustic data from 58 valid sites were combined with camera-trapping and vegetation surveys to evaluate six commonly used acoustic indices in PAM. We found that these indices were more strongly associated with relative abundance and community diversity metrics of bird and mammal than with species richness. Spatially, autocorrelation ranges of some acoustic indices extended to approximately 4 km (i.e., the Bioacoustic Index (BIO) and Normalized difference soundscape index (NDSI)). Temporally, all indices exhibited significant autocorrelation over 2-5 days, exceeding the typical short-term turnover of bird and mammal activity (1-2 days). Our results indicate that acoustic indices are not direct proxies for species richness but provide complementary information on soundscape dynamics. By explicitly quantifying spatiotemporal autocorrelation, this study offers practical guidance for sampling design and statistical analysis in passive acoustic monitoring, supporting more reliable and efficient biodiversity assessment.

ecology↗

bioRxiv2026

Imaging of Staphylococcus aureus infections and biofilms using a selective covalent probe for the unique serine hydrolase FphE

Staphylococcus aureus is the leading cause of soft tissue infections that can be treated with antibiotics. However, it can also cause significant mortality and morbidity due to systemic infections and infections of surgical implants. Implant infections typically require invasive surgery, and treatment often necessitates removal of the implant because S. aureus biofilms are extremely difficult to eradicate with antibiotic treatment alone. Therefore, there is a significant need for improved diagnostic tools for rapid, non-invasive confirmation of S. aureus infections. We recently developed an activity-based probe containing an oxadiazolone electrophile that selectively labels the S. aureus-specific serine hydrolase, FphE, by covalent binding to its active site serine residue. Here we describe a Cy5-labeled version of the probe, JJ-OX-012, and its characterization as an imaging agent for detecting biofilms both in vitro and in vivo. The probe labeled S. aureus biofilms in vitro, with virtually no background labeling of bacteria that lack FphE expression. Furthermore, we demonstrate that JJ-OX-012 can be used for non-invasive fluorescent imaging as a way to detect S. aureus biofilms in vivo. Overall, these findings support the potential for using covalent probes targeting FphE as imaging agents for rapid detection and diagnosis of staphylococcal infections in vivo.

microbiology↗

bioRxiv2026

Phyllosphere and rhizosphere microbiomes empower Nicotiana tobacum complex traits dissection and prediction

Understanding how plant-associated microbiomes interact with host genome variation to influence agronomic traits is essential for advancing microbiomeassisted crop improvement. In this study, we characterized the phyllosphere and rhizosphere microbiomes of 164 diverse Nicotiana tabacum accessions using 16S rRNA sequencing and integrated these data with host genomic variation and 22 agronomic traits. The two microbiomes exhibited distinct taxonomic structures, diversity patterns, and predicted metabolic functions. Microbiome genomewide association studies identified extensive host genetic control over microbial abundance, including 49 shared genomic loci that explained nearly half of the heritable variation in both microbiomes. Microbiomewide association studies revealed biologically meaningful associations between specific ASVs and agronomic traits. However, network analysis demonstrated that microbial subcommunities, rather than individual taxa, contributed substantially to phenotypic variation. Then, colocalization analysis further identified genetic variants jointly influencing microbial abundance and metabolite traits, highlighting potential host-microbe-trait causal links. Incorporating microbiome data into genomic selection models, we successfully improved prediction accuracy for several traits, especially plant architecture and flowering. Together, this work provides a comprehensive populationlevel framework linking host genetics, microbiome composition, and agronomic traits in tobacco, offering new insights for microbiomeinformed breeding strategies.

plant biology↗

bioRxiv2026

Elucidating Odorant Masking Effects in Food Matrices Through Olfactory Receptor-Based Profiling

Dynamic interactions among aroma compounds, especially odorant masking, constitute a key determinant of the intricate flavor profiles of thermally processed foods. However, the molecular and receptor-level mechanisms governing mutual odor suppression remain largely unclear. This study investigated the reciprocal sensory masking between 2,3,5-trimethylpyrazine and L-menthol via systematic sensory evaluation. Olfactory receptor screening identified OR5K1 as the responsive receptor for 2,3,5-trimethylpyrazine (EC50 = 27.67 {+/-} 2.02 mol/L) and OR2W1 as the functional receptor for L-menthol (EC50 = 22.69 {+/-} 3.85 mol/L). Consistently, quantitative cellular response assays further validated that 2,3,5-trimethylpyrazine and L-menthol exert mutual inhibitory effects on their respective receptors, as evidenced by the significant inhibition of receptor signaling. Moreover, molecular modeling predicted that 2,3,5-trimethylpyrazine and L-menthol competitively occupy the same orthosteric pocket via analogous binding conformations. These results provide novel receptor-level insights into odorant inhibitory effects, connecting sensory perception to molecular recognition, and deepen mechanistic understanding of flavor perception.

cell biology↗

bioRxiv2025

Fast and slow architectures of cortical dynamics in human brain

The human brain operates across a vast temporal range, from fast perception and action to slow physiological regulation. The capacity has attributed to a unitary cortical gradient of intrinsic timescales, yet such a unidimensional model cannot explain how local circuits simulateously support both rapid external behavior and slow internal body-coupled dynamics. Using SPLIT (spectral piecewise-linear inference of timescales) on a large-scale intracranial stereo-electroencephalography (8,619 contacts, 185 individuals), we identified dissociable fast (~10-100 Hz) and slow (~1-10 Hz) temporal components. Only the fast-component timescales followed the canonical sensorimotor-to-association cortical hierarchy. Slow-component timescales showed no hierarchical gradient, but were instead covaried with heart rate and enriched at site with heart-related neural responses. This dual temporal architecture persisted across wakefulness, rest, sleep, and anesthesia, challenging the unitary view of brain timescales and revealing an intrinsic bipartite organization that is associated with cortical hierarchy or neurophysiology.

neuroscience↗

bioRxiv2025

Cross-species insights into placental evolution and diseases at the single-cell resolution

The placenta is a highly specialized organ in mammals, mediating the exchange of nutrients, gases, and waste between the mother and the fetus while orchestrating intricate immunological interactions to sustain a successful pregnancy. Despite its essential roles, the molecular evolution underlying the diversity of placentas across mammalian species remains largely elusive. Here, we constructed a comprehensive mammalian placental single-cell transcriptomic atlas from approximately 300,000 cells spanning ten species that could well represent the four primary placental types: (discoid, cotyledonary, diffuse, and zonary. Our cross-species analysis highlights trophoblast lineages as key drivers for placental evolution. By reconstructing differentiation trajectories, we elucidate the gene expression dynamics and regulatory networks shaping trophoblast development across diverse placental architectures. Besides, we propose that the association of human trophoblasts with conditions such as pre-eclampsia and miscarriage arises from their unique gene expression profile, which distinguishes them from trophoblasts of other species. The functional experiments further demonstrate that TGIF1 acts as an upstream regulator of key functional genes in extravillous trophoblast cells, modulating their growth, invasion, and migration. Additionally, TGIF1, along with its target genes, such as ADAM12, WNT3A, and ZNF831, is associated with preeclampsia and pregnancy loss. Collectively, these findings provide a high-resolution framework to understand the molecular evolution of the placenta and its role in reproductive success and diseases.

evolutionary biology↗

bioRxiv2025

A Hybridization-Based Novel DNA Storage Technology with Rapid Read Performance

The development of traditional silicon-based microelectronic storage media has increasingly lagged behind the rapidly growing demands of contemporary data storage. DNA storage, with its ultra-high information density and long-term preservation advantages, has rapidly become a research hotspot for next-generation storage technologies. However, current mainstream DNA storage methods based on synthesis and sequencing suffer from slow read/write speeds, hindering practical applications. To address this limitation, we propose an innovative hybridization-based DNA storage scheme. Through principle validation experiments, short-text read/write and error-correction tests, and high-density multi-format file storage experiments, we verify the feasibility of this approach. The proposed method exhibits high parallelism, rapid read speeds, and robust encryption capabilities, demonstrating promising application prospects in scenarios such as confidential data storage.

synthetic biology↗

bioRxiv2025

The functional divergence of two ethylene receptor subfamilies that exhibit Ca2+-permeable channel activity

Ethylene is a gaseous plant hormone crucial for regulating plant growth, development, and stress adaptation, yet the molecular basis underlying ethylene receptor function remains elusive. Here, we show that subfamily I receptors constitute core ethylene-sensing module and function epistatically to subfamily II receptors. Notably, we discover that only subfamily I receptors possess Ca2+-permeable channel activity, which are indispensable for ethylene-induced cytosolic calcium influx. Overall, this work supports a mechanistic framework in which subfamily I receptors integrate ethylene sensing with Ca2+ influx, providing new insight into how plants translate hormonal cues into downstream signaling events.

plant biology↗