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Biology subjects

Wei, J.

Publications and source records attributed to Wei, J..

At least 55 records · Page 3Linked to original sources

A chromosome-level assembly and functional genomic resources for the model annelid Capitella teleta

BackgroundThe polychaete Capitella teleta is a commonly used annelid for studies in evolutionary developmental biology, comparative genomics, conservation, and ecotoxicology. Over a decade ago, it was the first polychaete to have its genome sequenced and assembled, contributing to pioneering studies that transformed our understanding of animal genomes and their evolution. However, this early resource is now outdated compared to current genome sequencing standards, limiting the use of modern functional genomic tools that could further our understanding of numerous biological processes. ResultsWe combine long-read and short-read sequencing with Hi-C chromatin conformation capture data to assemble the chromosome-level nuclear and mitochondrial genomes of the laboratory strain of C. teleta. This reference assembly more accurately reflects the expected genome size for this polychaete ([~]243.6 Mb) and contains a highly complete, evolutionarily conserved gene repertoire. Notably, the nuclear and mitochondrial genomes are heavily rearranged, indicating a decoupling between gene family repertoire and chromosomal evolution. The analyses of multi-omic datasets available for C. teleta, including developmental time courses of bulk and single-cell RNA-seq, ATAC-seq, and EM-seq, using the new reference assembly, resulted in a significant quality improvement, allowing us to identify new cell-type-specific gene markers and gain additional insights of biological relevance. Finally, we generated a publicly available genome browser that ensures all these resources are easily findable, accessible, interoperable, and reusable. ConclusionsOur study provides state-of-the-art genomic resources for the polychaete model C. teleta, addressing a pressing community need that will open new research opportunities in animal and genome evolution.

genomics↗

Differentially acetylated chitosan oligosaccharides as plant defense elicitors against spider mites

The increasing challenges of pesticide resistance and environmental degradation in modern agriculture require sustainable pest management strategies. This study investigates the efficacy of a specific type of hetero-chitooligosaccharide called DACOS, as a plant defense inducer against the two-spotted spider mite, Tetranychus urticae Koch. DACOS is characterized with 85% deacetylation and an average molecular weight of 1 kDa. In planta bioassays revealed a dose-dependent suppression of mite performance on DACOS-treated leaves of kidney bean seedlings, with peak efficacy occurring at 80 ppm. This concentration reduced mite survival by 30% and fecundity by 59% after six days. In addition to the local effects, mite survival and fecundity were also reduced on untreated leaves of the same seedlings, confirming that the effect of DACOS on plant defense is systemic. Behavioral choice assays revealed that DACOS-treated leaves induced 73% mite repellency. No direct acaricidal effects were observed, which confirms the role of DACOS as a plant defense elicitor. Metabolic profiling revealed enriched pathways (e.g., monoterpenoid biosynthesis and -linolenic acid metabolism) that produce volatile organic compounds with repellent properties. These findings suggest that DACOS is an environmentally friendly biostimulant that can enhance plant defense, bypass pesticide resistance, and promote the sustainability of crop production.

physiology↗

Atlas of Breast Cancer in Chinese Young Women Revealed by Single-cell RNA and ATAC Sequencing

Young women with breast cancer (YBC, age[<=]40) are particularly prevalent in Asian. YBCs usually show more aggressive pathology and poorer outcomes than non-young patients. However, YBCs are underrepresented in current BC risk models, with their tumor intrinsic subtypes and microenvironments lacking a systematic elucidation at the single-cell level, thereby limiting the young-specific therapies. We established a single-cell Chinese YBC landscape baseline, including 246,659 cells, by applying scRNA-seq and scATAC-seq on untreated patients. We developed a cross-modal feature selection algorithm to construct a young-intrinsic subtype classifier BCYtype, outperforming existing classifiers in pseudobulk, cellular, and external cohorts. Comparative analyses with non-young samples revealed a direct differentiation trajectory from mammary stem cells to mature luminal cells. Pseudotemporal analysis also demonstrated that tumor cells in younger patients undergo earlier carcinogenesis. Mechanistically, we found that CDH1 interacts with pTex and NKT cells, serving as a young-specific marker and a potential therapeutic target for HR+ young patients. The interaction between exhausted T cells and antigen-presenting cells revealed NKG2A as a candidate therapeutic target for triple-negative breast cancer in young patients.

cancer biology↗

Psychological stress and social support are associated with opposing single-cell pro-inflammatory gene regulatory mechanisms in adults

Psychological stress is linked to elevated markers of chronic inflammation, whereas social support is associated with lower levels; yet, the molecular mechanisms mediating these effects are poorly understood. We investigated gene regulatory variation in peripheral blood mononuclear cells (PBMCs) from 165 self-reported African American adults (aged 50-89 years) using single-cell RNA sequencing (scRNA-seq) and single-cell chromatin accessibility (scATAC-seq). Self-reported psychological stress and social support were associated with differential expression of 1,956 and 1,296 genes, respectively (10% FDR), primarily in CD4+ T cells and monocytes. Interferon signaling genes showed high expression in individuals with high psychological stress and low expression in those with high social support; this pattern mirrored gene expression in individuals with elevated circulating inflammatory markers (IFN-{gamma}, TNF-, IL-6). Genome-wide transcription factor (TF) motif analysis identified stress- and social support-associated changes in motif activity for 70 and 116 TFs, respectively, with 87 motifs enriched near differentially expressed genes. In CD4+ T cells, high psychological stress corresponded to increased IRF and STAT TF motif activity (interferon pathway), while social support was associated with reduced activity and expression in these pathways. We used an immune challenge paradigm (i.e., LPS stimulation), which confirmed the biological pathways of these gene regulatory effects. Our results demonstrate that psychological stress and social support modulate immune gene regulation at the single-cell level, revealing mechanistic links between psychosocial factors and inflammation, and suggesting that social support may promote immunological health.

genomics↗

GatorAffinity: Boosting Protein-Ligand Binding Affinity Prediction with Large-Scale Synthetic Structural Data

Protein-ligand binding affinity prediction is a fundamental task in computational drug discovery. Although substantial efforts have been made to enhance prediction accuracy using data-driven approaches, progress remains limited by persistent data scarcity. The widely used PDBbind dataset, for example, contains fewer than 20, 000 experimental structures with annotated binding affinities, while a vast number of affinity measurements remain underutilized due to missing structural data. Here, we investigate this untapped potential by curating more than 450, 000 synthetic protein-ligand complexes annotated with Kd and Ki values using the Boltz-1 structure prediction model. Building on this unprecedented scale of synthetic data, further augmented with over 1 million synthetic complexes from the recently released SAIR database annotated with IC50 values, we develop GatorAffinity, a geometric deep learning-based scoring function pretrained on large-scale synthetic data and fine-tuned using high-quality experimental structures from PDBbind. Extensive evaluation on a leak-proof benchmark demonstrates that GatorAffinity significantly outperforms state-of-the-art affinity prediction methods, offering superior accuracy and generalizability. Our findings show that augmenting available experimental data with synthetic complexes can effectively address the data scarcity challenge while maintaining strong predictive reliability. By releasing the pretrained GatorAffinity model and the large-scale synthetic dataset GatorAffinity-DB, we provide a scalable and reproducible foundation for affinity prediction, virtual screening, and broader structure-based drug design applications (https://github.com/AIDD-LiLab/GatorAffinity).

bioinformatics↗

Redirection of SARS-CoV-2 to phagocytes by intranasal sACE2-Fc as a universal decoy confers complete prophylactic protection

The rapid evolution of SARS-CoV-2 and other respiratory RNA viruses limits the success of current vaccines and antibody-based therapies. Engineered decoy receptors based on soluble angiotensin-converting enzyme 2 (sACE2) offer promising alternatives. Clinical-grade recombinant sACE2 inhibits SARS-CoV-2 replication in vitro but shows limited clinical success. This study reports an optimized sACE2 mutant fused to human IgG1 Fc (B5-D3), which redirects virus-decoy complexes to lysosomal degradation in macrophages. Intranasal prophylactic delivery of B5-D3 confers complete protection in SARS-CoV-2-infected K18-hACE2 mice. Abrogation of Fc effector functions compromises antiviral protection, indicating that Fc-mediated uptake of virus-decoy complexes is critical. Transcriptomic analysis suggests that B5-D3 induces early immune activation in lungs of infected mice. Bio-distribution and flow cytometry reveal selective targeting of airway phagocytes. In vitro assays confirm lysosomal degradation of virus-decoy complexes by macrophages without productive infection. These findings reveal a distinct antiviral mechanism via phagocytic clearance, supporting refined regimens for decoy treatments against SARS-CoV-2 and potentially other respiratory viruses.

immunology↗

Secondary nucleation of α-Synuclein drives Mitochondria dysfunctions and Lewy body formation in Parkinson's Disease

The seeding of -Synuclein (Syn) is a key driver of Lewy pathology propagation in Parkinsons disease (PD) and forms the basis for recent diagnostic advances. However, it remains unclear how the structural and biochemical features of Syn seeds dictate their propagation efficiency, capacity to induce Lewy body formation, and resulting cellular toxicity. Using genetic and idiopathic PD cell models, we map the pathogenic cascade beginning with the seed-driven conversion of endogenous Syn, followed by impaired degradation, mitochondrial dysfunction, and ultimately Lewy body formation. By coupling kinetic modelling of aggregation with functional readouts, we identify secondary nucleation as the predominant mechanism generating toxic Syn aggregation intermediates, identifying the critical process that links seeding to pathology. Extending this framework to PD brain, we quantitatively correlate seeding capacity with the spatiotemporal spread and severity of Lewy pathology, revealing a mechanistic connection between Syn aggregation dynamics and disease progression at molecular, cellular, and anatomical levels. By unifying molecular mechanism with clinicopathological progression, our work identifies catalytic Syn fibrillar seeds as tractable targets for both disease-modifying therapy and biomarker development in PD. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=193 HEIGHT=200 SRC="FIGDIR/small/676873v1_ufig1.gif" ALT="Figure 1"> View larger version (79K): org.highwire.dtl.DTLVardef@1eca299org.highwire.dtl.DTLVardef@a714d4org.highwire.dtl.DTLVardef@1486db5org.highwire.dtl.DTLVardef@1aa895_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LISyn fibril-oligomer interplay drives mitochondrial abnormalities and Lewy pathology C_LIO_LIFibrillar Syn catalyse toxic aggregate formations via secondary nucleation C_LIO_LIPhosphorylated Syn evades lysosomal clearance and drives enhanced dysfunctions C_LIO_LISeeding capacity of Syn predicts Lewy pathology burden and disease progression C_LI

neuroscience↗

pH-driven evolutionary divergence and ongoing speciation in the cosmopolitan cyanobacterium Microcoleus vaginatus

Speciation models and the concept of speciation continuum have been well established in multicellular eukaryotes. However, the mechanisms underlying population differentiation and their environmental drivers in prokaryotes remain elusive. Here, we explored the population diversification of the filamentous cyanobacterium Microcoleus vaginatus, a photoautotrophic edificator with significant importance for dryland ecosystems worldwide. By constructing a 132-genome dataset spanning multiple climate zones across four continents, we integrated intraspecific genomics with environmental association analyses to elucidate the population genetic structure and molecular mechanisms underlying the divergence of the M. vaginatus continuum. Our findings reveal that adaptive differentiation is driven by the combined effects of natural selection, homologous recombination, and gene family turnover, with varying contributions across different phylogroups. The evolution of core and accessory genomes exhibits complementary patterns, with genome-wide association studies demonstrating the predominant role of the core genome in population divergence. Selection, followed by neutral evolution and recombination, mediates trade-offs in life-history strategies, while environmental factors shape these evolutionary processes. Notably, while local edaphic variables exert direct influences on Tajimas D values, they demonstrate predominantly indirect modulation through alterations in the selection-to-gene gain ratio (S/G). pH emerges as the principal abiotic driver governing population genetic signatures, operating through coordinated effects on both S/G and the proportion of selected genes undergoing recombination (SUR). This study offers novel insights into the diversification mechanisms of cosmopolitan, dominant cyanobacteria, thereby advancing our understanding of prokaryotic speciation in complex natural settings and providing a framework for predicting microbial adaptation in a changing world.

evolutionary biology↗

KICDB: A Causality-Oriented Multi-Omics Database for Kinase Inhibitor-Induced Cardiotoxicity

BackgroundKinase inhibitors (KIs) are mainstays of targeted cancer therapy, but their clinical utility is frequently limited by cardiotoxicity. A systematic resource to explore the underlying causal mechanisms is urgently needed. MethodsWe present the KICDB (Kinase Inhibitor Cardiotoxicity Database), a comprehensive and interactive web server. KICDB is built upon a framework integrating large-scale transcriptomics meta-analysis with causal inference. ResultsThis database centralizes the findings from a comprehensive meta-analysis of 26 kinase inhibitors (KIs) across 7 studies (n=5291) identified 8,907 significant gene expression changes in human cardiomyocytes. To establish causality, we performed a two-pronged Mendelian randomization (MR) analysis testing hundreds of downstream genes and a panel of 43 key kinase proteins against 46 cardiovascular outcomes. This large-scale analysis revealed 26 significant causal associations, implicating novel molecular mediators in KI-induced cardiotoxicity. ConclusionsKICDB serves as a valuable and accessible platform for the cardio-oncology community. By integrating transcriptomic signatures with causal inference data, the database empowers researchers to formulate mechanistic hypotheses, accelerate biomarker validation, and guide the design of future cardioprotective strategies. URL: https://zhang-lab-database.shinyapps.io/KICDB/ Key PointsO_LIWe developed KICDB, a comprehensive and publicly accessible web server, to systematically investigate the causal mechanisms of KI-induced cardiotoxicity. C_LIO_LIKICDB integrates a large-scale meta-analysis of transcriptomic data from 26 KIs with a robust Mendelian randomization (MR) framework to move beyond correlation and infer causality. C_LIO_LIThe analysis identified 8,907 significant gene expression changes and 26 significant causal associations between KI-associated genes and 46 cardiovascular outcomes. C_LI

bioinformatics↗

Differential transcriptomics and metabolomics analyses of the skin of coarse and fine Liaoning cashmere goats

Secondary follicles in cashmere goats determine cashmere yield and quality. The present study investigated the relationship between the regulatory factors and cashmere fiber diameter through transcriptomics and metabolomics methods. Diameters of the fibers of 400 (18 months old) female Liaoning cashmere goats were measured and categorized into coarse and fine hair types (200 goats per category). Six goats were selected as representatives of each group for further analysis. Fiber diameters were significantly different between groups (P < 0.05). Transcriptomic analysis revealed 211 differentially expressed genes between groups, including FGF18, KRT36, KRT79, AWAT2, and MOGAT1, which were enriched in the PPAR and glycerol-lipid metabolism signaling pathways that regulate hair follicle growth and sebum secretion. Metabolomics analysis revealed 50 differentially expressed metabolites in the skin, which regulate cellular ion channels and participate in neurological channels by enriching ABC transporter protein pathways, amino acid biosynthesis and metabolism, and arachidonic acid metabolism. The findings of the present study could facilitate improvement of cashmere quality in cashmere goats.

genetics↗

Identification of natural products and synthetic analogs which inhibit microsporidia spores and prevent infection

Microsporidiosis, a disease caused by microsporidia, affects many animals, with symptoms ranging from diarrhea to death, especially in immunocompromised individuals. Current treatments, such as albendazole and fumagillin, are limited in efficacy. To address this problem, we utilized Caenorhabditis elegans infected with its natural microsporidian Nematocida parisii to evaluate 4,080 structurally diverse compounds from the Boston University Center for Molecular Discovery (BU-CMD) chemical library. From this screen we identified 34 compounds that effectively inhibited N. parisii infection and restored the reproductive capacity of C. elegans. All 17 compounds we validated prevented N. parisii infection in C. elegans, and 10 were capable of suppressing microsporidia invasion by inactivating mature spores. Additionally, five of the identified compounds were also effective against Pancytospora epiphaga, a species related to human-infecting microsporidia. Together this work identifies and characterizes compounds which inhibit microsporidia infection. ImportanceMicrosporidia are a large group of microbial parasites that infect many animals, including humans. Many agriculturally important animals such as honey bees, shrimp, crabs, and fish are infected by microsporidia, and these infections often result in smaller animals, fewer offspring, and death. Only two drugs are commonly used to treat microsporidia infections; due to some species being resistant and host toxicity there is a need to identify other microsporidia inhibitors. In this study, we screened over 4000 small molecules using a model round worm infected with microsporidia. We identified several dozen inhibitors and characterized how these compounds prevented infection by determining which stage of the parasite they act upon. Together our work identified and characterized compounds that could be used as a starting point to design better microsporidia inhibitors.

microbiology↗

Circulating tumor cell heterogeneity and MMP9 expression in clinical correlation with breast cancer

ObjectivesThis study aimed to investigate the association between the heterogeneity of circulating tumor cell (CTC) subtypes and the expression patterns of matrix metalloproteinase 9 (MMP9) with clinicopathological parameters in breast cancer patients. The distribution of CTC subtypes, MMP9 expression levels, and their influence on tumor progression. MethodsA total of 303 breast cancer patients were enrolled in this study. The association between CTCs subtypes in peripheral blood, MMP9 expression and clinical or pathological data of patients were analyzed. ResultsThe number of mesenchymal CTCs increased significantly with the number of lymph node metastases (P < 0.05), and high MMP9 expression was positively correlated with lymph node involvement (P < 0.05). The proportion of intermediate to high MMP9 expression was significantly higher in mixed CTCs compared to epithelial and mesenchymal CTCs (P < 0.05). High MMP9 expression in tumor tissues was associated with increased CTCs production and induction of epithelial-mesenchymal transition (EMT) (P < 0.05), as well as an elevated number of MMP9-positive CTCs (P < 0.05). ConclusionsThese findings suggest that MMP9 is positively associated with CTCs production and EMT process, and MMP9 may contribute to tumor metastasis by promoting CTC shedding and EMT by degrading the extracellular matrix. We recommend compliance with the Mesh guidelines: https://www.ncbi.nlm.nih.gov/mesh/

cancer biology↗

MassNet: billion-scale AI-friendly mass spectral corpus enables robust de novo peptide sequencing

Breakthroughs in artificial intelligence (AI) for natural language processing and computer vision have been largely driven by high-quality, large-scale datasets such as OpenWebText and ImageNet. Inspired by this, we present MassNet, a foundational resource for proteomics designed to accelerate deep learning applications. MassNet is the largest known corpus of data-dependent acquisition (DDA) mass spectrometry (MS) data, derived from ~30 TB of raw files and comprising 1.54 billion MS/MS spectra, resulting in 558 million peptide-spectrum matches (PSMs) across 35 species, including animals, plants, and microbes. Within the human subset, MassNet includes more than 1.7 million precursors and 19,966 proteins, covering 98% of annotated human proteins. To enable efficient AI training, we developed the Mass Spectrometry Data Tensor (MSDT), a structured format based on Parquet that enables standardized, high-performance batch access and seamless integration with GPU and TPU platforms for distributed training. We further extended MassNet to support de novo peptide sequencing, which infers peptide sequences directly from MS/MS spectra without reference databases, and is critical for discovering novel proteins, characterizing non-model organisms, and identifying post-translational modifications (PTMs). We introduce XuanjiNovo, a non-autoregressive Transformer model that leverages a curriculum learning strategy to enhance training stability. By dynamically adjusting learning difficulty based on model performance, XuanjiNovo achieves smooth convergence on complex, multi-distributional data without manual hyperparameter tuning. Trained on 100 million PSMs from the MassNet, it consistently outperforms state-of-the-art methods across diverse benchmarking tasks. Peptide recall exceeds 0.8 on the Bacteroides thetaiotaomicron and Zea mays datasets. On human data acquired using the Orbitrap Astral platform, XuanjiNovo achieves achieves 38.8% to 144.3% improvement over existing models. MassNet represents the first large-scale, standardized foundational dataset in proteomics, marking a critical milestone in the integration of artificial intelligence into proteomics research.

bioinformatics↗

Desert Hedgehog mediates stem Leydig cell differentiation through Ptch2/Gli1/Sf1 signaling axis

Desert Hedgehog (Dhh) mutations cause Leydig cell dysfunction, yet the mechanisms governing Leydig lineage commitment through Dhh-mediated receptor selectivity, transcriptional effector specificity, and steroidogenic coupling remain elusive. In this study, using CRISPR/Cas9-mediated gene knockout and stem Leydig cells (SLCs) transplantation, we identified a critical Dhh/Patched 2 (Ptch2)/Glioma-associated oncogene homolog 1 (Gli1)/steroidogenic factor 1 (Sf1) signaling axis essential for SLC differentiation in Nile tilapia (Oreochromis niloticus). Dhh deficiency resulted in defective adult Leydig cells and androgen insufficiency. Rescue experiments involving 11-ketotestosterone administration and a Dhh agonist treatment, combined with SLCs transplantation, demonstrated that Dhh regulates SLC differentiation, not survival. In vitro knockout of ptch1 and ptch2 in SLCs revealed that Ptch2 likely acts as the functional receptor for Dhh. This was further supported by in vivo genetic rescue experiments, where ptch2 mutation did not impair testicular development, yet completely rescued the testicular defects in dhh mutants--consistent with Ptch2 acting as an inhibitory receptor whose loss alleviates Dhh pathway suppression. Luciferase assays in Gli-knockout SLCs demonstrated that Gli1 acts as the primary transcriptional effector, and transactivates sf1 expression. Additionally, functional transplantation assays confirmed that Sf1 is indispensable for SLCs differentiation, as Sf1-overexpressing SLCs rescued differentiation, whereas sf1-mutant SLCs failed. Overall, our work delineates the Dhh-Ptch2-Gli1-Sf1 axis and provides fundamental insights into the endocrine regulation of Leydig cell lineage development. HighlightsO_LIDhh regulates the differentiation of SLCs rather than their survival C_LIO_LIPtch2 acts as the functional receptor for Dhh signaling in SLCs C_LIO_LIGli1 is the principal transcriptional activator for Dhh signaling in SLCs C_LIO_LISf1 is the critical downstream effector of Gli1 in SLCs differentiation C_LI

developmental biology↗

Human meibomian gland organoids to study epithelial homeostasis and dysfunction

Meibomian glands (MGs) are holocrine glands that secrete lipids to maintain the homeostasis of ocular surface, and their dysfunction leads to dry eye disease. Herein, we established long-term 3D organoid culture for murine and human MGs, which retained the cell lineages and lipid-producing ability. The organoids mimicked the drug treatment responses and generated functional MGs after orthotopic transplantation. Inspired by organoid cultures, we found FGF10 eye drops could rescue all-trans retinoic acid-induced MG dysfunction in mice. Besides, nicotinamide uniquely hampered the human MG organoid expansion by inhibiting FGF10 signaling. Single-cell atlas and lipidome not only aligned the delineated cell types and featured lipids between human MGs and organoids, but highlighting MAPK signaling inhibition enhanced acinar cell differentiation and functional maturation of MG organoids. In summary, this study established an organoid platform to explore epithelial homeostasis and dysfunction of MGs, facilitating drug development and regenerative medicine for dry eye disease.

cell biology↗

Central nervous system atlas of larval zebrafish constructed using the morphology of single excitatory and inhibitory neurons

Single-neuron morphology mapping is fundamental for deciphering brain architecture and function, yet in vertebrates it remains limited in spatial coverage and cell-type information. Here we present a nervous system-wide single-neuron morphology atlas of larval zebrafish with annotated excitatory/inhibitory identity and dendrite-axon polarity. The atlas comprises >20,000 reconstructed neurons from >13,400 animals, spanning the central and peripheral nervous system and representing [~]24.5% of the total excitatory and inhibitory neurons in the brain, all integrated into a common physical space with neuroanatomical parcellations. We define >500 excitatory and inhibitory neuronal morphotypes and construct putative inter-cell-type and interregional connectomes. Projection and morphotype analyses reveal distinct laterality and directionality biases and modular innervation patterns in excitatory and inhibitory neurons, while network analyses uncover fundamental connectivity motifs, hubs, and sensorimotor pathways. Accessible through custom-built interactive platform ZExplorer, this atlas provides a foundational resource for multimodal data integration, circuit analysis, computational modeling, and hypothesis-driven research.

neuroscience↗

Hierarchical prediction and perturbation of chromatin organization reveal how loop domains mediate higher-order architectures

The genome is folded within the dense cell nucleus in a hierarchical manner, resulting in complex interactions between distinct folding strategies at various length scales. To elucidate how short-range loop domains regulate higher-order structures of the chromatin, such as topologically associating domains (TADs) and compartments, we introduce HiCGen, a hierarchical and cell-type-specific generator based on Swin-transformer architecture. HiCGen predicts genome organization across different spatial scales utilizing DNA sequence and genomic features as inputs. The model enables in silico screening through genetic or epigenetic perturbations on genome architecture, with resolution down to 1 kb. Our analysis reveals unexpected linear correlations between loop properties and genome organization at various levels, including insulation degree, compartmentalization, and contact intensity over genomic distances exceeding 10 Mb. Regional or global perturbation conducted by HiCGen provides biological implications for such cross-scale correlations and their genome-function dependence. Notably, perturbation analysis of the human genome in sigmoid colon tissue demonstrates that modest activation of carcinogenesis-associated enhancers is sufficient to hijack nearby promoter, reshape TAD boundaries, and even flip compartment at mega-base scale.

bioinformatics↗

Embryonic Durotaxis: A Mechanical Framework for Understanding Cesarean Scar Pregnancy

Cesarean scar pregnancy (CSP) is an increasingly common complication associated with the rise in cesarean section rates, yet its underlying mechanisms remain poorly understood. In this study, we identified a stiffness gradient between healthy and scarred uterine tissues in both human cesarean samples and mouse uterine scar models. By employing gradient stiffness hydrogels, we demonstrated that mouse embryos and human trophoblast spheroids exhibit durotaxis, migrating preferentially toward stiffer areas. This migration occurs through three-dimensional complex behaviors--translation, swinging, and rolling--characterized by periodic patterns that align with cavity oscillations. Embryonic durotaxis is initiated from asymmetric adhesion forces and is driven by embryonic protrusive forces, generated from Marangoni-like tissue flows. The intrinsic cavity oscillations further amplify and sustain embryonic durotaxis. Finally, pharmacological inhibition of embryonic durotaxis significantly reduced CSP incidence in the mouse model. Our findings establish the concept of embryonic durotaxis, which may provide novel therapeutic avenues for CSP prevention.

developmental biology↗