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Yan, T.

Publications and source records attributed to Yan, T..

At least 19 recordsLinked to original sources

The Onset of Breathing at Birth Switches Off Regenerative Capacity

Many mammalian tissues, including the central nervous system (CNS), lose regenerative capacity in adulthood, but when and how this transition is initiated remains unclear. By monitoring mTOR activity, an evolutionarily conserved readout of cellular growth and intrinsic regenerative potential, we found that mTOR signaling declines within minutes after birth in murine CNS neurons and in other organs such as the heart and skeletal muscles. Focusing on retinal ganglion cells (RGCs), we show that this abrupt decline is driven primarily by CO2 exhalation following the onset of breathing after birth. Using real-time in vivo imaging of RGCs during the earliest postnatal period, we further discover that breathing-induced CO2 exhalation rapidly causes intracellular alkalinization, activates an AMPK-family kinase, SNF-related kinase (SNRK), which in turn suppresses mTOR signaling. Importantly, this process remains reversible in adulthood: CO2 inhalation or Snrk deletion restores mTOR activity in RGCs and enables robust regeneration of their axons after injury. Similar CO2 inhalation-induced mTOR reactivation occurs across multiple cell types and organs, suggesting a general mechanism by which breathing-associated CO2/pH signaling shapes the regenerative capacity across life and pointing to a potential CO2-based strategy for promoting tissue regeneration.

neuroscience↗

Melittin intervention induces lncRNA response, mitochondrial dysfunction, and cell proliferation in murine cervical cancer cells

Melittin exhibits antitumor activity in cervical cancer models, yet the long non-coding RNA (lncRNA) response and associated regulatory networks remain poorly understood. Here, strand-specific RNA-seq data from melittin-treated and untreated U14 murine cervical cancer cells were analyzed to characterize melittin-responsive lncRNAs and explore their potential functional associations. A total of 28,162 lncRNAs were identified, including 27,307 known and 855 novel transcripts. Differential expression analysis revealed 404 differentially expressed lncRNAs (DElncRNAs), comprising 191 upregulated and 213 downregulated lncRNAs, w most of which were predicted to localize to the cytoplasm or nucleus. Cis-target analysis identified 52 neighboring mRNAs as putative targets of 46 DElncRNAs. Functional enrichment highlighted mitochondrial electron transfer and redox-related processes, including the mitochondrial electron transfer flavoprotein complex, electron-transferring-flavoprotein dehydrogenase activity, ubiquinone binding, and quinone binding. In parallel, melittin induced mitochondrial membrane depolarization and increased intracellular reactive oxygen species accumulation in U14 cells. Co-expression analysis further identified 138 lncRNAs co-expressed with 161 mRNAs, which were enriched in chromatin remodeling, DNA replication, and DNA repair. EdU incorporation decreased with increasing melittin concentrations, indicating suppression of DNA synthesis and proliferative activity. RT-qPCR analysis confirmed the expression trends of selected DElncRNAs. Collectively, these findings demonstrate extensive remodeling of the lncRNA landscape in melittin-treated U14 cells and suggest that melittin-responsive lncRNA-mRNA networks are associated with mitochondrial redox disruption and impaired DNA synthesis. This study provides a transcriptomic framework for identifying candidate lncRNA-mRNA regulatory axes underlying the antitumor response to melittin.

cancer biology↗

The effect of melittin intervention on murine cervical cancer cells: An in-depth proteomics investigation

Melittin, the principal bioactive peptide of bee venom, exhibits promising antitumor activity, whereas its molecular mechanisms in cervical cancer remain incompletely understood. In this study, the biological effects and molecular responses of melittin in U14 cervical cancer cells were investigated using Astral data-independent acquisition (Astral-DIA)-based quantitative proteomics combined with molecular validation. The effects of melittin on cell migration, invasion, and cell death were evaluated by Transwell assays and PI/Hoechst staining. Differentially expressed proteins (DEPs) were screened and subjected to Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein-protein interaction (PPI) analyses. Representative oxidative stress-related genes and proteins were further validated by RT-qPCR and Western blotting. Melittin significantly inhibited the migration and invasion of U14 cervical cancer cells and increased cell death. Quantitative proteomics identified 9,782 protein groups and 187 DEPs, including 71 up- and 116 down-regulated proteins. KEGG pathway enrichment analysis revealed oxidative phosphorylation (OXPHOS) as the most significantly enriched pathway, together with glutathione metabolism, ferroptosis-related pathways, reactive oxygen species signaling, and mitophagy. GO term enrichment analysis indicated that DEGs were mainly engaged in mitochondrial function, electron transport, oxidoreductase activity, and energy metabolism. RT-qPCR assay demonstrated altered expression of Duox1, Gpx4, Gsx2, Nfe2l2, and Gstp2. Additionally, PPI analysis identified Gstp2 and ODC1 as representative hub proteins involved in redox regulation and metabolic adaptation. Furthermore, Western blotting confirmed increased GSTP2 expression following melittin treatment. Overall, these findings provide a comprehensive proteomic landscape of melittin-treated U14 cervical cancer cells and suggest that mitochondrial OXPHOS remodeling and redox-associated pathways may contribute to the antitumor activity of melittin.

cell biology↗

Deciphering the Effect of Melittin on Murine Cervical Cancer Cells Based on Transcriptomic Investigation

Melittin, a highly active natural antimicrobial peptide derived from honeybee venom, holds immense pharmacological potential against solid tumors. However, its specific anti-tumor efficacy and transcriptomic dynamics in cervical carcinoma remain to be systematically characterized. This study evaluated the anti-cancer properties of melittin on murine U14 cervical cancer cells following by transcriptomic investigation of the underlying mechanism. Phenotypic evaluations revealed that melittin potently inhibited U14 cell viability, while wound healing assays demonstrated a profound, dose-dependent suppression of cellular migration, culminating in near-complete migratory arrest at high concentrations. Furthermore, flow cytometry quantified a dramatic, dose-dependent surge predominantly in late apoptotic cell populations. These apoptotic events were structurally corroborated by scanning electron microscopy (SEM), which revealed severe plasma membrane perforation and morphological exhaustion. Enrichment analyses indicated that the physical membrane disruption inflicted by melittin translated into a severe metabolic crisis, marked by a global suppression of ribosomal biogenesis and mitochondrial oxidative phosphorylation. Furthermore, melittin profoundly repressed the Tie2-mediated angiogenic pathway (Etv2 down-regulation) while triggering the lethal hyperactivation of the AP-1 transcriptional stress complex (Jun, Fos, Fosb). Collectively, these findings elucidate the pharmacological networks underlying melittins cytotoxicity, providing solid molecular evidence for its development as a natural therapeutic agent against cervical cancer.

cancer biology↗

Transcriptomic datasets of melittin- and un-treated murine cervical carcinoma U14 cells

Melittin, a potent amphipathic cationic peptide derived from bee venom, exhibits broad-spectrum antineoplastic efficacy, notably against cervical carcinoma. Despite its established therapeutic potential, the global transcriptional reprogramming orchestrating its acute multi-pathway cytotoxicity remains incompletely understood. To bridge this knowledge gap, we generated the first comprehensive, untargeted RNA-seq dataset profiling the acute phase of melittin-induced cell death in murine cervical carcinoma U14 cells (exposed to 4 g/mL melittin for 20 minutes) alongside untreated controls. Utilizing deep sequencing and rigorous bioinformatics workflows, we quantified genome-wide mRNA abundances and mapped a distinct transcriptomic shift, identifying 254 significantly differentially expressed genes, comprising 158 up- and 96 down-regulated transcripts. Validated by stringent quality control metrics, exceptional genomic mapping rates, and comprehensive functional annotations via the GO and KEGG databases, this high-resolution transcriptomic resource provides a systems-level map of early molecular alterations. All raw and processed sequencing data are publicly available. This transcriptomic resource provides a valuable foundation for elucidating the acute regulatory networks underlying melittin-induced anti-cervical cancer effects. DatasetThe dataset can be accessed through the NGDC website by searching with the BioProject accession number PRJCA068439. Reviewers may use this link for anonymous access during the review process. Direct URL to data: Genome Sequence Archive-CNCB-NGDC

genomics↗

Comprehensive transcriptome data of melittin- and un-treated murine hepatoma Hepa 1-6 cells

Melittin, the principal bioactive peptide of bee venom, exerts potent antitumor activity against hepatocellular carcinoma (HCC). However, the comprehensive transcriptomic alterations it elicits in hepatoma cells remain poorly characterized. Here, we present an integrated transcriptome dataset from melittin- and un-treated murine Hepa 1-6 hepatoma cells, encompassing messenger RNA (mRNA) and microRNA (miRNA) expression profiles. Cells were exposed to 4 g/mL melittin in serum-free DMEM for 20 min, and total RNA was subjected to ribosomal RNA-depleted strand-specific RNA sequencing on an Illumina NovaSeq6000 platform (paired-end 150 bp) and small RNA sequencing on an Illumina HiSeq2500 platform (single-end 50 bp). Raw data were processed using Cutadapt to remove adapters and low-quality reads, yielding clean datasets with Q20 [≥] 99.85%, Q30 [≥] 98.48%, and valid data ratios exceeding 85%. All raw and processed sequencing data are publicly available. This transcriptomic resource provides a valuable resource and basis for elucidating the regulatory networks underlying melittin-induced anti-hepatoma effects. DatasetThe dataset can be accessed through the National Genomics Data Center, China National Center website by searching with the BioProject accession number PRJCA065485 Reviewers may use this link for anonymous access during the review process. Direct URL to data: Genome Sequence Archive-CNCB-NGDC. Dataset LicenseCC BY 4.0

Cancer Biology↗

Dysregulated tissue-resident lymphocytes drive age-associated emphysema by impairing alveolar regeneration

Aging is often associated with progressive tissue degeneration and chronic inflammation, yet the role of immune cells in mediating structural and functional decline in organs remains poorly defined. Here, we investigated immune-tissue interactions in the aged lung and identified emphysematous remodeling characterized by alveolar loss. Notably, aged lungs exhibited a marked expansion of tissue-resident lymphocytes (TRLs) with senescent features, accompanied by a significant reduction in alveolar stem/progenitor cell (AT2) abundance. In vivo adoptive T cell transfer and 3D immune-stem cell organoid assays revealed that these expanded TRLs suppressed AT2 growth via secretion of oncostatin M and interferon gamma. In vivo blockade of IL-7 receptor (IL-7R) reduced TRL accumulation in the lungs and ameliorated age-related emphysematous changes, including restoration of alveolar density. Our findings identify TRLs as key drivers of alveolar degeneration in aging and propose IL-7R inhibition as a therapeutic strategy to mitigate pulmonary decline. TeaserBlocking IL-7R clears harmful lymphocytes and helps rebuild the damaged air sacs of the aging lung.

cell biology↗

Data-Driven Retrieval of Effective Point Spread Functions for Super-Resolution Optoacoustic Imaging

Localization-based super-resolution techniques have revolutionized biomedical imaging by surpassing classical diffraction limits. However, their performance is fundamentally constrained by distortions of the point spread function (PSF) induced by the system and the sample, which are particularly prominent in the case of spatially under-sampling. Here we introduce a data-driven effective point spread function retrieval (DEPR) method that directly learns continuous, field-dependent system responses from experimental point source datasets. Through statistical aggregation of thousands of targets and iterative self-supervised refinement, DEPR captures spatially variant imaging characteristics in situ without prior assumptions or external calibrations. When integrated into the localization optoacoustic tomography (LOT) pipeline, DEPR achieves accurate sub-pixel localization despite under-sampled conditions, thus enhancing resolution while reducing computational burden. We demonstrate its efficacy by in vivo imaging of the murine brain microvasculature using microparticle contrast agents in the first (NIR-I) and second (NIR-II) near-infrared windows, achieving significant improvement in data utilization efficiency and substantial reduction of gridded artifacts compared to conventional approaches. The method resolves vascular structures with [~]41 m separation across a [~]3 mm imaging depth range. This framework addresses fundamental challenges shared across diverse localization-based imaging modalities, offering a robust and generalizable strategy for high-precision imaging in complex biological systems.

neuroscience↗

Characterizing JP-5 Biodegradation Potential in Hawaii Soil Microbiome: Phylogeny, Growth Kinetics, and Biosurfactant Production

Soil and groundwater contamination from petroleum spills continues to present major environmental and human health challenges. A recent fuel contamination event in the Pearl Harbor region of the Island of Oahu, Hawaii, highlights the need for a better understanding of the biodegradation capabilities of the indigenous soil microbiome and potential for bioremediation. Soil sampling and subsequent cultivation-based enumeration showed that the abundance and relative abundance of JP-5 degrading bacterial biomass to be 1.9 x 104 MPN/g ({sigma}=3.4 x 104 MPN/g) and 2.4 % ({sigma}= 4.4 %), respectively. Isolation and 16S rRNA gene sequencing showed diverse phylogenetic groups of JP-5 degrading bacteria, including Achromobacter, Ralstonia, Stenotrophomonas, Pseudomonas, Acinetobacter, Staphylococcus, Bacillus, and Gordonia. Logistic modeling of batch growth experiments revealed significant variation in growth kinetic parameters amongst the soil bacterial isolates. Biosurfactant production by the JP-5-degrading bacterial isolates showed significant correlation with maximum optical density (r = 0.69, p < 0.001), relative growth rate (r = 0.41, p = 0.008), and relative lag phase duration (r = -0.36, p = 0.02), indicating an important role of biosurfactant production in enhancing hydrocarbon bioavailability. The results revealed the ubiquitous presence and phylogenetic diversity of JP-5 degrading microbial capabilities in the Hawaii soil microbiome and their potentials for bioremediation applications.

microbiology↗

The Cortical Temporal Axis: MEG-Based Cross-Frequency Gradients with Biological Anchors

Neural oscillations have long been used to characterize the temporal dynamics of individual brain regions, yet a parsimonious, system-level representation that integrates multi-rhythmic activity has been lacking. Using source-localized resting-state magnetoencephalography (MEG) data, we computed regional power spectra and assessed spectral similarity, then applied diffusion map embedding to construct cross-frequency neurophysiological gradients that place whole-brain oscillations within a unified, low-dimensional coordinate system. We found the first three gradients accounted for over 40% of the variance, remained stable across individuals, and aligned with established functional, structural, and geometric cortical axes. Computational modeling showed that these gradients reflect local excitation-inhibition balance, while multimodal analyses revealed strong associations with neurotransmitter receptor distributions, cytoarchitecture, and cell-type-specific gene expression. Lifespan analyses further demonstrated systematic gradient reorganization, with distinct cognitive mappings onto functions such as language, memory, and multisensory integration. Clinically, Parkinsons disease patients displayed disrupted gradients, particularly in regions linked to language and social cognition. Finally, these gradient patterns exhibited high test-retest reliability. These findings establish MEG-derived neurophysiological gradients as robust, low-dimensional representations of cortical organization, offering a biologically grounded framework for studying brain aging and disease.

neuroscience↗

Characterizing the role of RSD-6 in the biogenesis of virus-derived small interfering RNAs and the modulation of viral pathogenesis

Small interfering RNAs (siRNAs) produced through the processing of viral double-stranded RNAs mediate potent antiviral RNA interference (RNAi) in eukaryotes. In Caenorhabditis elegans, such an antiviral defense is further amplified through the production of secondary siRNAs, yet the mechanisms by which secondary virus-derived siRNAs (vsiRNAs) confer protection remain poorly understood. Here, we characterize the role of rsd-6, which encodes a Tudor domain protein and plays important role in antiviral RNAi, in vsiRNA biogenesis and modulation of viral pathogenesis. Using CRISPR Cas9-generated rsd-6 null mutants, we show that both primary and secondary vsiRNAs accumulate normally in the absence of RSD-6, indicating that it functions downstream of secondary vsiRNA biogenesis. We further showed that secondary vsiRNAs generated in rrf-1-independent manner remained detected in the absence of RSD-6 and viral replication is further enhanced in rrf-1;rsd-6 double mutants compared to rrf-1 single mutants, suggesting a role of rsd-6 in mediating antiviral guided by all secondary vsiRNAs. Consistently, rsd-6 mutants exhibited more severe pathogenesis upon Orsay virus infection compared to rrf-1 mutants, underscoring its role as a major determinant of viral disease outcome. Domain characterization established that the N-terminal tandem domains of RSD-6 are required for antiviral activity, while the C-terminal Tudor domains are dispensable. Functional conservation was confirmed in C. briggsae, where silencing of the rsd-6 homolog enhanced viral replication. Together, our findings identify RSD-6 as a key effector acting downstream of secondary vsiRNA production and highlight its conserved role in modulating viral replication and pathogenesis across Caenorhabditis species. ImportanceIn C. elegans, the RNAi-mediated antiviral defense relies on the production of secondary virus-derived siRNAs (vsiRNAs) to achieve an amplified antiviral effect. However, the mechanism by which these secondary vsiRNAs confer protection remains poorly understood. This is primarily due to the limited number of identified key effector genes. To address this knowledge gap, we profiled vsiRNA biogenesis in loss-of-function mutants and discovered that rsd-6 is dispensable for the production of secondary vsiRNAs, suggesting a role of rsd-6 in mediating antiviral defense downstream of secondary vsiRNA biogenesis. Worm survival assay further confirmed that rsd-6 is a critical modulator of viral pathogenesis and its antiviral function is conserved across Caenorhabditis species. The RSD-6 protein features three N-terminal tandem domains of unknow function and two tandem Tudor domains at its C-terminus. Our domain analyses demonstrated that the N-terminal tandem domains, but not the C-terminal Tudor domains, are essential for antiviral function. The identification of rsd-6 as a key effector gene acting downstream of vsiRNA biogenesis provides a solid foundation for elucidating the mechanism of antiviral RNAi amplification.

immunology↗

Lifestyle and transcriptional signatures associated with ethnicity/race-related variations in the functional connectome

Understanding the variation of functional architecture across individuals and populations is fundamental to advancing our knowledge of human health and behaviour. Yet, while functional organization differences related to ethnicity/race are consistently reported, their underlying mechanisms remain poorly understood. Here, we apply precision individualized functional mapping to systematically investigate ethnicity/race-related differences in the brains intrinsic organization and their associations with lifestyle and transcriptional signatures. We show that variations in network topography and functional connectivity across ethnic/racial groups follow a hierarchical sensorimotor- association axis and are constrained by brain morphology. Importantly, we identify lifestyle factors-- particularly education and substance use--that significantly mediate these associations between ethnicity/race and functional connectivity. Leveraging human brain gene expression data, we further demonstrate that cortical transcriptional patterns are spatially aligned with ethnicity/race-related variability in functional connectivity. Gene ontology analyses of associated genes reveal significant enrichment in biological processes such as synaptic signalling and neuronal system development. Together, these findings uncover a multi-layered framework linking ethnicity/race-related differences in brain function to structural constraints, lifestyle influences, and molecular signatures, and advance a more comprehensive and equitable understanding of human brain diversity.

neuroscience↗

Structural connectome architecture and biological vulnerability shape cortical atrophy in cocaine use disorder

Cocaine use disorder (CUD) is prevalent and characterized by widespread gray matter atrophy across the cerebral cortex. However, it remains unclear whether and how connectome-based circuits and biological features shape these structural abnormalities. Here, we show that CUD-associated regional atrophy is constrained by the white matter (WM) structural connectome. Along these WM pathways, regions that share similar haemodynamic activity and molecular profiles are more likely to exhibit analogous atrophy patterns. By integrating the structural connectome with these multiple connectivity blueprints, we subsequently identify CUD epicenters and reveal that the prefrontal and visual cortices serve as core systems. Furthermore, we link these epicenters to cortical gene expression patterns and delineate CUD-related transcriptomic enrichment in biological processes, including inter-neuronal communication, synaptic function and neural homeostasis. Finally, we demonstrate that the spatial distribution of these epicenters correlates with cocaine craving-response maps derived from repeated transcranial magnetic stimulation and can track individual variations in clinical behavioural representations, suggesting their potential as key targets for therapeutic intervention. Together, our findings establish a structurally constrained framework for the spread of pathology underlying cortical atrophy in CUD, where initial perturbations propagate via structural connectome pathways to vulnerable regions shaped by neural activity and molecular landscapes.

neuroscience↗

Gut Microbiota Succession and Metabolic Pathway Remodeling in the Progression of Type 2 Diabetes Mellitus in Adult Rats

BackgroundEmerging evidence highlights the complex interplay between gut microbiota and type 2 diabetes mellitus (T2D); however, the temporal trajectory of microbial community succession and the concomitant shifts in associated metabolic pathways across the disease lifecycle remain poorly characterized. In this study, we conducted a multi-dimensional analysis of gut microbiota composition and functional pathways in rats, spanning the continuum from health, through the T2D pathological state, to post-intervention recovery phases. ResultsHealthy aged rats exhibited significantly greater gut microbial diversity compared to both younger healthy cohorts and T2D rats. In the absence of intervention, progressive T2D development led to a sustained decline in microbial diversity that persisted until death. Notably, {beta}-tocotrienol ({beta}-T3), metformin hydrochloride (MET) and healthy dietary interventions not only improved fasting blood glucose (FPG) levels in T2D mice but also restored their gut microbial diversity and metabolic functions. At the phylum level, the ratio of p Bacteroidota to p Firmicutes exhibited an age-dependent increase in healthy rats but displayed a progressive decline in T2D rats. Notably, species-specific expansions were observed across both healthy and pathological states. For example, s Bacteroides_acidifaciens (B. acidifaciens) showed a significant expansion in early T2D stage disease, while s Anaerostipes_hadrus became the dominant species in advanced-stage T2D. Among intervention groups, s Phascolarctobacterium_faecium was enriched in the {beta}-tocotrienol ({beta}-T3) group; the abundance of s Escherichia_coli (E. coli) increased dramatically in the deceased rats. Gut metabolites also exhibited distinct characteristics across different physiological stages. In young rats, the metabolite profile was characterized by lower abundances of most metabolites, which stabilized with age accompanied by upregulation of select molecules in older rats. Notably, during T2D progression, the metabolite profile displayed a largely opposite pattern compared to healthy controls. Importantly, dietary interventions including healthy food, {beta}-T3, MET partially restored metabolic homeostasis in T2D rats. Further analysis revealed that key differential metabolites across groups were enriched in bile acids (BAs), amino acids, benzene and its substituted derivatives, and organic acids with their derivatives. Specifically, amino acid metabolism was more active in healthy rats, whereas BA and benzene derivative metabolism were upregulated in T2D. Key microbial species driving these shifts included s Lactobacillus_johnsonii, s Lactobacillus_reuteri, and B. acidifaciens, which exhibited positive correlations with BAs and select amino acids. The B. acidifaciens could be a biomarker of T2D and glycoursodeoxycholic acid, sohyodeoxycholic acid, beta-muricholic acid and allocholic acid were the key BAs to regulate glycometabolism of the host. ConclusionsDuring the T2D stage, both gut microbiota composition and metabolic profiles exhibited distinct characteristics compared to those of healthy age-matched older rats. Notably, {beta}-T3 and MET interventions not only facilitated the recovery of gut microbial diversity and metabolite levels in T2D mice but also promoted the proliferation of specific dominant species, each intervention favoring distinct taxa. In this context, B. acidifaciens emerged as a dominant bacterial species in T2D, exerting regulatory effects on glycometabolism through BA and amino acid metabolic pathways. Collectively, these findings advance our understanding of T2D pathophysiology and highlight the potential of probiotic-based therapies for its management. ImportanceThe T2D is a kind of chronic disease and the gut microbiota shows a continuously slow succession from some microbial populations to other ones in the disease progress. Uncovering the rule of change in gut bacteria from healthy rats to T2D ones and the recovering capacity of gut microbiota through interventions of healthy food, {beta}-T3 and antidiabetic drug are beneficial to understand the real regulation mechanism of gut bacteria in T2D progress. Then the results lay the foundation of developing probiotics and researching new metabolic therapeutic target of gut microorganisms. In addition, to research the metabolic regulation mechanism of gut bacteria, using multi-omics including microbiomics and metabonomics is an effective way.

microbiology↗

Genetics of growth rate in induced pluripotent stem cells

Human induced pluripotent stem cells (iPSCs) have transformed biomedical research by enabling the generation of diverse cell types from accessible somatic tissues. However, certain fundamental biological properties, such as the genetic and epigenetic determinants of iPSC proliferation, remain poorly characterized. We measured the growth of iPSC lines derived from 602 unique donors using high-throughput time-lapse imaging, quantified proliferation through a growth Area-Under-the-Curve (gAUC) phenotype, and correlated gAUC with the gene expression and genotype of the cell lines. We identified 3,091 genes associated with gAUC, many of which are well established regulators of cell proliferation. We also found that rare deleterious variants in WDR54 were associated with reduced iPSC growth and that WDR54 was differentially expressed with respect to gAUC. Although no common variants showed a genome-wide association with gAUC, iPSC lines from monozygotic twins were highly correlated, and common genetic variation explained approximately 71-75% of the variance in iPSC growth rates. These results indicate a complex genetic architecture of iPSC growth rates, where rare, large-effect variants in important growth regulators, including WDR54, are layered onto a highly polygenic background. These findings have important implications for the design of pooled iPSC-based studies and disease models, which may be confounded by intrinsic growth differences.

developmental biology↗

PathoEye: a deep learning framework for the whole-slide image analysis of skin tissue

ObjectiveTo provide an interpretable computational framework for the examination of whole-slide images (WSI) in skin biopsies, PathoEye focuses on the dermis-epidermis junctional (DEJ) areas, also known as the basement membrane zone (BMZ), to enrich the pathological features of various skin diseases. MethodsWe presented PathoEye for WSI analysis in dermatology, which integrates epidermis-guided sampling, deep learning and radiomics. It enables unsupervised semantic segmentation of the BMZ and extracts distinct features associated with various skin conditions. ResultsPathoEye performs comparably with existing methods in binary classification tasks, while outperforming them in multi-classification tasks involving different skin conditions. It enables the investigation of histopathological aberrations in aged skin compared with young skin. Additionally, it highlighted the texture changes in the BMZ of young skin compared with aged skin. Further experimental analyses revealed that senescence cells were enriched in the BMZ, and the turnover of basement membrane (BM) components, including COL17A1, COL4A2, and ITGA6, was increased in aged skin. ConclusionPathoEye is a comprehensive tool for characterizing the unique features of different skin conditions associated with BMZ, thereby ensuring its potential applications in skin disease diagnosis and treatment planning.

bioinformatics↗

A connectomic resource for neural cataloguing and circuit dissection of the larval zebrafish brain

We present a correlated light and electron microscopy (CLEM) dataset from a 7-day-old larval zebrafish, integrating confocal imaging of genetically labeled excitatory (vglut2a) and inhibitory (gad1b) neurons with nanometer-resolution serial section EM. The dataset spans the brain and anterior spinal cord, capturing >180,000 segmented soma, >40,000 molecularly annotated neurons, and 30 million synapses, most of which were classified as excitatory, inhibitory, or modulatory. To characterize the directional flow of activity across the brain, we leverage the synaptic and cell body annotations to compute region-wise input and output drive indices at single cell resolution. We illustrate the datasets utility by dissecting and validating circuits in three distinct systems: water flow direction encoding in the lateral line, recurrent excitation and contralateral inhibition in a hindbrain motion integrator, and functionally relevant targeted long-range projections from a tegmental excitatory nucleus, demonstrating that this resource enables rigorous hypothesis testing as well as exploratory-driven circuit analysis. The dataset is integrated into an open-access platform optimized to facilitate community reconstruction and discovery efforts throughout the larval zebrafish brain.

neuroscience↗

Inulin reduces Ralstonia invasion by promoting cooperation between Lysinibacillus sphaericus and Pseudoarthrobacter spp.

In field production, beneficial microbial agents are typically applied along with key resources that beneficial microbes prefer to utilize. This practice aims to help the beneficial microbes colonize the field and exert their disease resistance functions. However, the mechanisms by which these key resources influence the colonization and disease resistance effects of beneficial microbes remain unknown. In this study, we found that inulin can enhance the growth capacity of Lysinibacillus sphaericus HR92 and its ability to inhibit Ralstonia solanacearum. Further investigation revealed that inulin can enhance strain HR92s flagellar assembly, bacterial chemotaxis, fatty acid metabolism, and siderophore synthesis capabilities, ultimately improving strain HR92s effectiveness in controlling bacterial wilt. Moreover, adding inulin to the soil can enrich Pseudarthrobacter strains. This genus enhances the expression of genes involved in the synthesis of the antibacterial substance HR92, and competes for nutrients with Ralstonia solanacearum, thereby further inhibiting the occurrence of bacterial wilt disease. Additionally, the combination of inulin and Pseudarthrobacter strains upregulates the valine and leucine pathway genes in strain HR92. These genes play a crucial role in the synthesis of surfactin and the antimicrobial VOC 3-methyl-1-butanol. We have demonstrated that the addition of key resources not only enhances the control efficacy of beneficial bacteria against soil-borne diseases but also enriches the "helpers" of beneficial bacteria in soil. ImportanceRalstonia solanacearum is a plant pathogen that can cause bacterial wilt in several important crops. Given the limitations of beneficial bacterial inoculation, we propose a strategy to enhance the biocontrol efficacy of beneficial microorganisms by utilizing key resources. In this study, we demonstrate that key resources inulin can improve the biological control effects of beneficial bacteria, thereby maintaining plant health. Furthermore, we found that increasing the concentration of inulin altered the diversity of the rhizosphere microbiota and specifically enriched the abundance of Pseudarthrobacter, which compete with pathogens for nutrients on one hand and, on the other hand, synergize with inulin to enhance the biocontrol efficacy of the beneficial bacterium HR92. Together, our study reveals that key resources can enhance the biocontrol efficacy of beneficial bacteria and enrich potential beneficial bacteria in resident microbial communities, further reducing tomato diseases.

microbiology↗