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Liu, Y.

Publications and source records attributed to Liu, Y..

At least 613 records · Page 34Linked to original sources

Developmental Connectomics of the Mouse Cerebellum

To uncover the developmental processes that establish the precise patterns of synaptic connectivity in the CNS, we employed a connectomic approach in the mouse cerebellar cortex between birth and 2 weeks of age. There were dramatic quantitative and qualitative changes in the structure and connectivity of cerebellar cells. Parallel fiber synapses onto Purkinje cells increased [~]500-fold, with the most rapid growth taking place a week after birth. To support this profound synaptogenesis, Purkinje cells generated thousands of transient parallel fiber-oriented filopodia that received nascent synapses from parallel fibers. Importantly, we find that granule cells initiate synaptic output onto Purkinje cells only after receiving mossy fiber input, revealing a sequential, input-dependent logic for circuit assembly. In sharp contrast to the concurrent pruning of climbing fiber inputs, parallel fiber connectivity expanded and became highly individualized during development. Despite anatomical overlap, neighboring Purkinje cells share significantly fewer parallel fiber inputs than expected by chance. Moreover, parallel fibers themselves diverged spatially, further enforcing selective input allocation and resulting in highly specific parallel fiber cohorts for each Purkinje cell. Our findings uncover a mechanistic sequence in which early afferent activity and transient cellular structures guide the selective wiring and expansion of parallel fiber input to Purkinje cells, establishing developmental principles that ensure functional specificity in the mature brain.

neuroscience↗

Disease-specific variant pathogenicity prediction using multimodal biomedical language models

Missense variants play a key role in the diagnosis of genetic disorders and in disease risk prediction. Existing methods focus primarily on the prediction of variant effects in terms of their deleteriousness, without taking into account the disease-specific context, and are therefore limited in terms of their utility in real-world diagnosis and decision making. Here, we introduce disease-specific variant pathogenicity prediction (DIVA), a novel deep learning framework that directly predicts specific disease types alongside the probability of deleteriousness for missense variants. Our approach integrates information from two different modalities - protein sequence and disease-related textual annotations - encoded using two pre-trained language models and optimized within a contrastive learning paradigm designed to align variants with relevant diseases in the learned representation space. Our results demonstrate that DIVA outperforms baselines and provides accurate disease predictions with high relevance to clinically curated disease annotations for missense variants. Variant deleteriousness prediction is enhanced by incorporating AlphaMissense scores through learnable weights derived from protein function annotations, which additionally boosts DIVAs ability to accurately classify deleterious variants. Our work provides new insights into variant pathogenicity prediction with awareness of disease specificity, addressing a hitherto unmet need in relation to clinical variant interpretation.

bioinformatics↗

Assembly of the complete horse genome reveals variants associated with reproduction and temperamental traits

A high-quality horse genome assembly is crucial for genetic analysis of equine. Benefiting from long-read sequencing techniques and trio-binning strategy, we assembled a complete telomere-to-telomere horse genome (T2T-horse 1.0) with a size of 2.80 Gb and a base accuracy of more than 99.9999%, comprising a 34.11-Mb entire Y chromosome. T2T-horse 1.0 filled the gaps and corrected errors in previous assemblies, and added 180.30 Mb of previously unresolved regions and 77 new genes compared with the previous reference genome TB-T2T. We identified five types of centromeric satellites and revealed the features of the horse centromeric regions. We characterized the structure of the Y chromosome, and determined the borders of PAR transposed region, and annotated 59 novel genes on Y chromosome of T2T-horse 1.0. Using SNPs in the X-degenerate region of the Y chromosome of T2T-horse 1.0, we performed selection signatures analysis between indigenous horses and horses from intensively selected breeds, and detected the selected genes ARSF and NLGN4Y, which are closely associated with reproduction and temperamental traits, respectively.

genomics↗

A phenotypic brain organoid atlas for neurodevelopmental disorders

Thousands of genes are associated with neurodevelopmental disorders (NDDs), yet mechanisms and targeted treatments remain elusive. To fill these gaps, we present a CIRM-initiated NDD biobank of 352 publicly-available genetically-diverse patient-derived iPSCs, along with clinical details, brain imaging and genomic data, representing four major categories of disease: microcephaly (MIC), polymicrogyria (PMG), epilepsy (EPI), and intellectual disability (ID). From 35 representative patients, we studied over 6000 brain organoids for histology and single cell transcriptomics. Compared with an organoid library from ten neurotypicals, patients showed distinct cellular defects linked to underlying clinical disease categories. MIC showed defects in cell survival and excessive TTR+ cells, PMG showed intermediate progenitor cell junction defects, EPI showed excessive astrogliosis, and ID showed excessive generation of TTR+ cells. Our organoid atlas demonstrates both conserved and divergent NDD category-specific phenotypes, bridging genotype and phenotype. This NDD iPSC biobank can support future disease modeling and therapeutic approaches. HIGHLIGHTSO_LIResource of 352 CIRM-funded genetically-diverse IPSC lines from patients with neurodevelopmental disorders (NDDs). C_LIO_LIGenome/exome and brain images available for these genetically-diverse IPSC lines. C_LIO_LIDerived human brain organoids (hBOs) show disease-specific histological and cellular phenotypes. C_LIO_LIhBO phenotypes show unanticipated differentiation towards non-neuronal cell fates in NDDs. C_LI

neuroscience↗

Class A PBPs reinforce the septal cell wall following initial synthesis by SEDS-bPBP pairs during bacterial cytokinesis

Bacterial cytokinesis requires the coordinated action of septal peptidoglycan (PG) synthases to ensure efficient and accurate septum formation. Two major types of synthases contribute: SEDS-bPBP and bifunctional class A PBPs (aPBPs). How their activities are organized in space and time has remained unclear. Using Deinococcus radiodurans, which often contains both constricting and closed septa in the same cell, we show that septal PG synthesis proceeds through distinct steps at different regions. Primary synthesis at the leading edge by SEDS-bPBP pairs drives constriction, whereas aPBPs act later at the lagging edge and in closed septa to thicken the wall, enhance cross-linking, and reinforce septal integrity. At the single-molecule level, both synthase types move directionally to perform processive PG synthesis at distinct sites. We also observed spatiotemporal separation of SEDS-bPBP and aPBP synthases in Staphylococcus aureus, suggesting that secondary septal PG synthesis is a conserved mechanism securing successful cytokinesis.

microbiology↗

ATF4 alleviates doxorubicin-induced cardiomyopathy through H2S-mediated antioxidation

BackgroundDoxorubicin (DOX) remains a cornerstone in the treatment of various cancers. However, its clinical utilization is significantly hampered by dose-dependent cardiotoxicity. The generation of reactive oxygen species (ROS) constitutes the central component of the pathogenesis of DOX-induced cardiotoxicity. Activating transcription factor 4 (ATF4) has been demonstrated to exert a cardioprotective effect and augment cardiac antioxidative capacity in settings of heart failure. However, the role of ATF4 in DOX-induced cardiomyopathy (DIC) remains unknown. MethodsTo explore the role of ATF4 in DOX-induced cardiomyopathy, cardiac-specific ATF4 conditional heterozygous mice and AAV9 mediated ATF4 overexpression mouse models were utilized. Cardiac function was assessed by echocardiography. The upstream regulator and downstream mediator of ATF4 were evaluated using RNA-seq analysis and further verified using ChIP assay and luciferase reporter assay. ResultsWe found a substantial decrease in ATF4 expression levels in the heart of DIC mice. ATF4+/- mice exhibited a higher degree of susceptibility to DOX-induced cardiotoxicity in comparison with ATF4flox/flox mice, as evidenced by the manifestation of more severe cardiac dysfunction and a significantly earlier mortality rate. In contrast, cardiacc-specific overexpression ATF4 by AAV9 confers robust cardioprotection against DOX-induced cardiomyopathy. Mechanistically, we identified the upstream regulator of ATF4 as KLF16, which was significantly suppressed during DOX treatment. Further, the decrease of ATF4 led to a reduction in cystathionine {gamma}-lyase (CSE) transcription and hydrogen sulfide (H2S) production in the context of DOX-induced cardiotoxicity. ChIP and luciferase reporter assays revealed that ATF4 functioned as the transcription factor of the CSE gene, which is a key enzyme in the synthesis of H2S to counteract oxidative stress. Consistently, ROS scavengers or H2S donors was shown to mitigate the consequences of ATF4 deficiency. In contrast, the ectopic expression of ATF4 mitigated oxidative stress and apoptosis in DOX-induced cardiotoxicity, both in vivo and in vitro. ConclusionsOur study revealed a novel function of ATF4 in counteracting oxidative stress in DOX cardiotoxicity by promoting the transcription of CSE. ATF4 may represent a promising therapeutic target for the treatment of DOX-induced cardiomyopathy.

pathology↗

Transcontinental Spread of HPAI H5N1 from South America to Antarctica via Avian Vectors

Our study has for the first time identified H5N1 strains (clade 2.3.4.4b, genotype B3.2) in brown skuas from the Fildes Peninsula, South Shetland Islands, Antarctica. These findings indicate that highly pathogenic avian influenza H5N1 viruses is now actively circulating in Antarctic ecosystems, representing a significant expansion of its geographic range.

genomics↗

Human-specific features of the cerebellum and ZP2-regulated synapse development

Understanding the unique features of the human brain compared to non-human primates has long intrigued humankind. The cerebellum refines motor coordination and cognitive functions, contributing to the evolutionary development of human adaptability and dexterity. To identify shared and divergent features across primates, we conducted single-nucleus transcriptomic and chromatin accessibility profiling of the adult cerebellar cortex in humans, chimpanzees, macaques, and marmosets. We revealed human-specific transcriptomic and regulatory features, particularly those involved in synaptogenesis. Notably, we identified an enrichment of the sperm receptor zona pellucida glycoprotein 2 (ZP2) and its potential interactors, known for their roles in gamete interaction, in human granule cells. Experimental data show that ZP2 expression in human granule cells is induced by pontine mossy fibers, reducing synaptic proteins at pontocerebellar glomerular synapses, and decreasing cerebellar neuron electrophysiological activity. This unexpected co-option of ZP2 in human-specific synapse regulation provides insights into the evolutionary specialization of the human cerebellum.

neuroscience↗

Enteric ChAT-expressing neurons as new target for Lactobacillus plantarum ameliorates inflammatory bowel diseases

The gut microbiota plays a crucial role in inflammatory bowel diseases (IBD), yet how specific microbial components influence disease progression remains incompletely understood. Our study reveals that decreased abundance of Lactobacillus species correlates with ulcerative colitis severity in patients. Among tested strains, L. plantarum A736, isolated from traditional fermented foods, demonstrated remarkable efficacy in ameliorating dextran sulfate sodium (DSS)-induced colitis in a mouse model. Strikingly, multi-omics analysis revealed that L. plantarum A736 uniquely enhances choline acetyltransferase-expressing (ChAT+) neurons in the enteric nervous system and elevates acetylcholine (ACh) levels. Further analysis identified that L. plantarum A736 metabolizes tryptophan to produce indole-3-lactic acid (ILA), and supplementation with ILA significantly mimics this strains anti-inflammatory effects by activating ChAT+ neurons. Crucially, selective ablation of colonic ChAT+ neurons completely abolished the therapeutic benefits of both L. plantarum A736 and ILA, establishing their essential role in mediating these effects. These findings demonstrate for the first time that microbial metabolites can directly modulate enteric neuronal circuits to regulate gut immunity. The identified ILA-ChAT+ neuron axis represents a novel neuro-immune pathway that could be targeted for IBD treatment. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/673902v1_ufig1.gif" ALT="Figure 1"> View larger version (63K): org.highwire.dtl.DTLVardef@1e0d3c5org.highwire.dtl.DTLVardef@16f5481org.highwire.dtl.DTLVardef@152283org.highwire.dtl.DTLVardef@18cfad0_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

An interpretable molecular framework for predicting cancer driver missense mutations

Missense mutations play a critical role in human disease, contributing to both inherited disorders and cancer. However, accurately predicting their functional impact--particularly for cancer driver mutations--remains a major challenge due to limited validated labels and the complex molecular basis of oncogenesis. Here, we systematically characterized over 120,000 missense variants across pathogenic, benign, driver, passenger, recurrent somatic, and common population classes, using a comprehensive set of mechanistically grounded molecular features. By assessing the statistical burden of variations, we demonstrated that these features effectively discriminate among diverse variant classes and reveal a consistent enrichment of functional sites, structural integrity, and biophysical changes in pathogenic and driver mutations. Building on these insights, we developed MutaPheno, an interpretable framework for predicting the functional consequences of missense mutations. The model integrates 34 molecular-level features, encompassing structural, functional, physicochemical, and contextual descriptors, using a random forest algorithm. Trained exclusively on pathogenic and benign variants, MutaPheno achieved strong accuracy in predicting cancer driver mutations, outperforming both cancer-specific and general pathogenicity tools, while also demonstrating superior robustness when tested on unseen proteins. Our findings highlight the shared mechanisms between pathogenic and driver mutations and emphasize the role of molecular features in improving variant interpretation. MutaPheno provides a transparent and generalizable tool that can facilitate driver discovery and the development of targeted therapies.

bioinformatics↗

EHMT2 Controls Neural Crest-Derived Craniofacial Development but is Dispensable in Limb Development

Post-translational modifications of histones, such as methylation of histone H3 at lysine 9 (H3K9), play critical roles in regulating chromatin structure and gene expression. EHMT2 (also called G9A), a histone methyltransferase, mediates H3K9 mono- and dimethylation and has been implicated in both transcriptional repression and context-specific gene activation. Although global knockout of the mouse Ehmt2 gene results in early embryonic lethality, tissue-specific knockouts have uncovered diverse roles in organ development. However, how EHMT2 contributes to skeletal development in a lineage-specific manner remains to be fully elucidated. Here, we investigated the role of EHMT2 in skeletal development by conditionally inactivating Ehmt2 in neural crest-derived and mesoderm-derived progenitors using Wnt1-Cre and Prx1-Cre mouse lines, respectively. Loss of Ehmt2 function in neural crest cells led to postnatal growth failure and craniofacial defects, including delayed intramembranous ossification and malformations of the jaw and cranial base. Transcriptomic analysis of neural crest cells revealed disrupted chromatin regulatory networks, reduced expression of proliferation-associated genes, and upregulation of inflammatory pathways. In contrast, inactivation of Ehmt2 in Prx1-expressing mesodermal progenitors had minimal impact on limb and cranial bone development, with no significant alterations in bone mass or osteoblast function. Together, these results reveal a lineage-specific requirement for EHMT2 in neural crest-derived skeletal tissues, suggesting that distinct progenitor populations exhibit differential dependency for bone development.

cell biology↗

Multi-omics analysis reveals genetic regulatory mechanismsof muscle traits in wild and domesticated Bactrian camels

Bactrian camels, large domesticated animals adapted to extreme environments, have evolved under natural and artificial selection to suit their living conditions and meet human needs. In arid and semi-arid regions, they provide valuable resources through economically important traits such as meat, milk, and wool production, contributing significantly to both economy and ecology. However, research on gene function, adaptive evolution, and molecular mechanisms underlying complex traits in Bactrian camels remains limited, constraining the full utilization of their breeding potential and conservation efforts.To address this gap, we performed whole-genome resequencing (WGS) on 35 domesticated Bactrian camels from the Chinese Sunite local population and integrated this data with publicly available WGS data from 112 Asian Bactrian camels. Our comprehensive analysis revealed significant genetic differences and genomic features between wild and domesticated Bactrian camels. We further integrated 27 epigenomic (ATAC-seq) and transcriptomic (RNA-seq) datasets from eight biologically important tissues of four Bactrian camels, along with skeletal muscle scRNA-seq and scATAC data. This allowed us to identify tissue-specific genes, regulatory elements, and genes under positive selection.Our integrated analysis identified target genes and their upstream regulatory elements, including potential regulatory transcription factors, with a focus on positively selected regions in Bactrian camel muscle tissue. We constructed regulatory pathways from key SNPs to regulatory elements to genes, and for the first time, identified regulatory elements in major tissues of the Bactrian camel genome. Our results also summarized the single-cell transcriptional landscape of Bactrian camel skeletal muscle, revealing cellular heterogeneity and genetic expression patterns across two developmental stages.This comprehensive regulatory element map provides a valuable resource for genetic and genomic studies in Bactrian camels. It reveals key regulatory networks, important genes, and regulatory elements influencing muscle development, as well as potentially significant functional variants affecting meat production traits. These findings will provide crucial data support for future genetic improvement and breeding efforts in Bactrian camels.

genetics↗

LieOTDock: A Protein Docking Framework via Lie Group Optimization and Optimal Transport

Protein-protein interactions (PPIs) are fundamental to cellular function, and structurally characterizing them is a key goal in molecular biology. Computational docking, a crucial tool for predicting the structure of protein complexes, faces significant challenges in search efficiency and scoring accuracy. Here, we introduce LieOTDock, a novel framework that leverages the mathematics of Lie groups and Optimal Transport (OT) for highly efficient protein docking pose generation. The core of our method is a data-driven surface sampling technique that identifies salient geometric features for initial pairing. These initial poses are then refined via a gradient-based optimization directly on the Lie group SE(3), the natural space of rigid-body motions. This optimization is guided by a differentiable score based on Sinkhorn-regularized Optimal Transport, which measures the geometric complementarity of surface patches. We tested LieOTDock on the 1AVW benchmark, where it successfully generated a near-native pose of 3.43 [A] RMSD from a 5000-candidate run in under three minutes on a consumer-grade Apple M4 Mini. Our results demonstrate that LieOTDock, by its principled use of Lie theory and OT, provides a powerful and efficient framework for generating high-quality candidate structures. This work decouples the challenge of geometric sampling from final scoring, offering a robust and modular approach to the protein docking problem, though future work is needed to integrate more physically realistic scoring functions for improved candidate ranking.

bioinformatics↗

Genome-wide SNVs revealed reticulate evolutionary history of an Eurasia-African songbird radiation

Phylogenomics has the power to uncover complex evolutionary hypothesis across taxa, thereby allowing important glimpses into the evolutionary history, such as incomplete lineage sorting (ILS) and introgression among closely related species. The Saxicola torquatus complex comprises several widely distributed insectivorous bird species across the Palearctic and Afrotropical realms. Nevertheless, the evolutionary history within this complex remains contentious, and previous findings suggest complication caused by cytonuclear discordance. Here, we conducted a phylogenomic analysis of nearly complete taxa within the complex using genome-wide SNVs to investigate potential causes of phylogenetic discordance across genomic regions and elucidate its evolutionary history. We detected multiple reticulate events during their diversification, leading to extensive phylogenetic discordance across the genome. The mitochondrial genome and W chromosome exhibited a consistent gene tree that conflicted with the species tree, with introgression being the most plausible explanation among several hypotheses. The Z chromosome was less affected by ILS/introgression and exhibited relatively stable local phylogenies compared to autosomes. Furthermore, we found that strongly introgressed regions were predominantly concentrated at the ends of smaller chromosomes, and the strength of introgression among species pairs showed consistently positive correlations, likely attributed to shared recombination hotspots in these regions. These findings stress the heterogeneous genomic landscape influenced by intricate evolutionary processes that endorse a reticulate evolution model for global speciation in the S. torquatus complex.

evolutionary biology↗

Lifelong restriction of dietary valine has sex-specific benefits for health and lifespan in mice

Dietary protein is a key regulator of metabolic health in humans and rodents. Many of the benefits of protein restriction are mediated by reduced intake of dietary branched-chain amino acids (BCAAs; leucine, valine and isoleucine), and restriction of the BCAAs is sufficient to extend healthspan and lifespan in mice. While the BCAAs have often been considered as a group, it has become apparent that they have distinct metabolic roles, and we recently found that restriction of isoleucine is sufficient to extend the healthspan and lifespan of male and female mice. Here, we test the effect of lifelong restriction of the BCAA valine on healthy aging. We find that valine restriction (Val-R) improves metabolic health in C57BL/6J mice, promotes leanness and glycemic control across ages, and reduces frailty, cancer prevalence, and senescent cell burden in multiple tissues in both sexes. Val-R reduces glial activation in the brain in a male-specific manner, and extends the lifespan of male, but not female, mice by 23%. To investigate the molecular mechanisms engaged by Val-R with aging, we conducted multi-tissue transcriptional profiling and gene network analysis. While Val-R had a greater molecular impact in the liver, muscle, and brown adipose tissue of females, the enrichment of genes associated with phenotypic traits was stronger in males. Assessing novel gene relationships across tissues, we identified a liver gene module enriched in mitochondrial-related pathways as a central hub. Assessing mitochondrial function, we identified a Val-R-induced male-specific increase in mitochondrial respiration. Our results demonstrate for the first time that Val-R improves multiple aspects of healthspan in mice of both sexes and extends lifespan in males, and suggests that interventions that mimic Val-R may have translational potential for aging and age-related diseases.

physiology↗

Development of charged nanobubble-containing media and their effects on iPSC-derived cell cultures

Nanobubbles (NBs) are gas-filled spherical structures less than 1 {micro}m in diameter, characterized by high surface charge, long-term stability, and the ability to generate bactericidal hydroxyl radicals upon collapse. Although these unique properties enable their extensive applications, including wastewater treatment, their cell biological applications at neutral pH remain limited by difficulties in maintaining stability and surface charge. Here, we succeeded in generating both positively and negatively charged NBs, achieving high zeta potentials in human iPSC-derived neural progenitor cell (NPC) and neuron culture media (pH 7.4). Similar to their bactericidal effects, NBs induced cell death in iPSC-derived cells, with positively charged NBs showing stronger cytotoxicity than negatively charged ones. This may be because the cell membrane carries a negative charge, making positively charged NBs more likely to approach and interact with the membrane, or because positively charged nanobubbles exhibit stronger radical generation. In future, we aim to elucidate the molecular biological mechanisms underlying NB-induced cell death and to contribute to the potential application of nanobubbles in regenerative medicine. This study will serve as an initial step toward that goal.

bioengineering↗

Long-read sequencing of single cell-derived melanoma subclones reveals divergent and parallel genomic and epigenomic evolutionary trajectories

Tumor evolution is driven by various mutational processes, ranging from single-nucleotide vari- ants (SNVs) to large structural variants (SVs) to dynamic shifts in DNA methylation. Current short-read sequencing methods struggle to accurately capture the full spectrum of these genomic and epigenomic alter- ations due to inherent technical limitations. To overcome that, here we introduce an approach for long-read sequencing of single-cell derived subclones, and use it to profile 23 subclones of a mouse melanoma cell line, characterized with distinct growth phenotypes and treatment responses. We develop a computational frame- work for harmonization and joint analysis of different variant types in the evolutionary context. Uniquely, our framework enables detection of recurrent amplifications of putative driver genes, generated by indepen- dent SVs across different lineages, suggesting parallel evolution. In addition, our approach revealed gradual and lineage-specific methylation changes associated with aggressive clonal phenotypes. We also show our set of phylogeny-constrained variant calls along with openly released sequencing data can be a valuable resource for the development of new computational methods.

genomics↗

LOX inhibition disrupts a collagen-integrin-MYC axis as a translatable targeting strategy in invasive lobular carcinoma

Invasive lobular carcinoma (ILC) accounts for 15% of breast cancers yet lacks specific therapy because ILCs are underrepresented in clinical trials and preclinical models are lacking. We established intraductal xenograft models to test whether the clinical pan-lysyl-oxidase PXS-5505, now in phase trials for myelofibrosis can exploit the collagen-rich matrix dependency created by CDH1 loss. PXS-5505 remodels fibrillar collagen, and halts tumor expansion and metastatic seeding across ER+ and triple negative models without systemic toxicity. Genome-wide CRISPR screens reveal ITGAV and ITGB5 as synthetic lethal partners of CDH1 and LOX inhibition downregulates their expression together with MYC, NF-{kappa}B, and AP-1 transcriptional programmes. Collagen fibre density/alignment, and MYC/AP-1 gene signatures serve as pharmacodynamic readouts of drug activity. These data uncover a tractable ECM-integrin-MYC axis in ILC and nominate PXS-5505, alone or with endocrine therapy, for window of opportunity trials in this understudied breast cancer subtype. One Sentence SummaryTargeting matrix remodelling in ILC inhibits ILC progression and alters multiple molecular endpoints, providing a translatable therapeutic strategy for this understudied subtype that requires better treatments.

cancer biology↗