Search bioRxiv⌕ Search

Biology subjects

Wang, R.

Publications and source records attributed to Wang, R..

At least 181 records · Page 10Linked to original sources

Cellular cartography reveals mouse prostate organization and determinants of castration resistance

Inadequate response to androgen deprivation therapy (ADT) frequently arises in prostate cancer, driven by cellular mechanisms that remain poorly understood. Here, we integrated single-cell RNA sequencing, single-cell multiomics, and spatial transcriptomics to define the transcriptional, epigenetic, and spatial basis of cell identity and castration response in the mouse prostate. Leveraging these data along with a meta-analysis of human prostates and prostate cancer, we identified cellular orthologs and key determinants of ADT response and resistance. Our findings reveal that mouse prostates harbor lobe-specific luminal epithelial cell types distinguished by unique gene regulatory modules and anatomically defined androgen-responsive transcriptional programs, indicative of divergent developmental origins. Androgen-insensitive, stem-like epithelial populations - resembling human club and hillock cells - are notably enriched in the urethra and ventral prostate but are rare in other lobes. Within the ventral prostate, we also uncovered two additional androgen-responsive luminal epithelial cell types, marked by Pbsn or Spink1 expression, which align with human luminal subsets and may define the origin of distinct prostate cancer subtypes. Castration profoundly reshaped luminal epithelial transcriptomes, with castration-resistant luminal epithelial cells activating stress-responsive and stemness programs. These transcriptional signatures are enriched in tumor cells from ADT-treated and castration-resistant prostate cancer patients, underscoring their likely role in driving treatment resistance. Collectively, our comprehensive cellular atlas of the mouse prostate illuminates the importance of lobe-specific contexts for prostate cancer modeling and reveals potential therapeutic targets to counter castration resistance. Significance StatementAndrogen deprivation therapy is a mainstay in prostate cancer treatment, yet many patients eventually develop castration-resistant disease--a lethal progression driven by poorly understood cellular mechanisms. Our study provides a comprehensive cellular map of the prostate, identifying key determinants of normal organization and castration-induced remodeling. By pinpointing the cell types and molecular programs that confer ADT responsiveness or resistance, our findings offer new directions for prostate cancer modeling and pave the way toward novel therapeutic strategies aimed at enhancing ADT efficacy and preventing the emergence of castration-resistant prostate cancer.

cancer biology↗

CRISPR-Cas supervises diverse anti-phage defense systems

A variety of bacterial anti-phage systems have recently been discovered1-3, but how these systems synergize to defend against diverse phages remains poorly understood. Here, we report that the adaptive immune system CRISPR-Cas supervises the expression of diverse immune systems by exploiting the regulatory CRISPR RNA-like RNAs (crlRNAs). The crlRNAs target and inhibit the promoters of various immune systems, including the newly characterized Nezha and Gabija, as well as eight previously unrecognized systems that feature distinct defensive domains. Notably, CRISPR regulation balances the expression level of these systems to ensure effective anti-phage activity while avoiding their autoimmunity risks. In return, the supervised immune systems trigger abortive infections when CRISPR-Cas is inhibited by viral anti-CRISPR proteins, thereby offering an anti-anti-CRISPR protection at the population level. Moreover, these systems complement CRISPR immunity with a differing anti-phage profile. These findings highlight the pivotal role of CRISPR-Cas in orchestrating a diverse range of immune systems and showcase the delicate synergy among the multilayered defense strategies in prokaryotes.

microbiology↗

A universal single-cell transcriptomics atlas of human lung decodes multiple pulmonary diseases

Human lung is a complex organ susceptible to various diseases. Single-cell transcriptomic studies provide rich data to targeting specific research questions. Here, we present uniLUNG, the largest lung transcriptomic cell atlas, comprising over 10 million cells across 20 disease states and healthy controls. We ensembled a universal hierarchical annotation framework and conducted a full benchmarking of data integration to define a standardized nomenclature and marker genes for lung cell types. Using uniLUNG, we identified Lym-monocyte and T-like B cells, new cell types in specific lung diseases, confirming their existence by comparing with external single-cell atlases. Additionally, we discovered the NSCLC-like SCLC subpopulation, a transitional malignant cell population associated with the transition from NSCLC to SCLC, which was validated and further characterized in spatial dimensions, revealing its complex role in tumour progression. Overall, uniLUNG represents a comprehensive range of human lung cell diversity, providing valuable data resources and a reliable foundation for lung single-cell research. HIGHLIGHTSO_LIThe largest scRNA atlas for human lung covers 10 million cells from 20 lung states. C_LIO_LIA four-level universal cell annotation framework encompasses 120 lung cell types. C_LIO_LIComprehensive benchmarking on 18 strategies guides data integration. C_LIO_LISpecific distribution of Lym-monocytes and T-like B cells in specific lung diseases. C_LIO_LIThe NSCLC-like SCLC subpopulation in transitional events of malignant cells from NSCLC to SCLC. C_LI

bioinformatics↗

Development of a novel peripherally acting alpha2A-adrenergic receptor antagonist for anti-diabetic

Yohimbine, a potent alpha2A-adrenergic receptor (2AAR) antagonist, was found therapeutic potential for type 2 diabetes through improving insulin release. However, the adverse side effects mediated by its actions in the brain hampered its use. Here, based on molecular docking analysis and structural modification, we have developed a novel peripherally acting yohimbine derivative (CDS479-2). CryoEM data found that yohimbine and CDS479-2 have similar interactions with the structure of 2AAR. Importantly, CDS479-2 shows similar 2AAR antagonist activity as yohimbine, but with very limited access to the brain, and thus avoiding the unwanted central effects such as hypertension and anxiety. Acute administration of CDS479-2 by injection or gavage lowered blood glucose levels and improved glucose tolerance in the high-fat diet-induced obesity (DIO) mice, an animal model for human type 2 diabetes. Remarkably, DIO mice received 2 weeks of daily administration of CDS479-2, but not yohimbine, exhibited sustained normoglycaemia, and increased density of the insulin-producing beta cells, in which important proliferation genes were found upregulated. Moreover, the overall protein expression levels of their pancreas were more similar to that of the healthy chow-fed mice. Thus, CDS479-2 may indicate a new direction for type 2 diabetes treatment. Importantly, the strategy we employed in this study will inspire the optimization for drugs that with both peripheral and central targets. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=166 HEIGHT=200 SRC="FIGDIR/small/628818v1_ufig1.gif" ALT="Figure 1"> View larger version (49K): org.highwire.dtl.DTLVardef@1d3d7corg.highwire.dtl.DTLVardef@1afbad3org.highwire.dtl.DTLVardef@12a1aborg.highwire.dtl.DTLVardef@1341a02_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

Continuous Prediction of Mice Lever-Pressing Kinematic Parameters by Background Removed Single-photon Calcium Images

Calcium imaging has gained extensive application in neural decoding tasks because of its high precision in observing cortical neural activity. Nevertheless, the immense data volume and complexity of automated signal extraction algorithms in calcium imaging result in significant delays in extracting neuronal calcium fluorescence signals, greatly constraining the efficiency of neural decoding research and its applicability in real-time tasks. Although a few studies have successfully used partial neuronal signals from calcium imaging data for real-time neural decoding and brain-computer interface tasks, they fail to leverage the complete neuronal dataset from experiments, which limits their ability to decode continuous and complex movements. In response to this challenge, we introduce a neural decoding method based on background-removed single-photon calcium images. This approach extracts three-dimensional spatiotemporal representations of neuronal activity via background removal and employs a decoder combining 3D-ResNet and RNN networks to enable continuous and rapid decoding of mouse lever-pressing kinematic parameters. Compared with traditional methods for neural decoding using single-photon calcium imaging, this approach offers higher accuracy and faster speed. Combined with real-time motion correction algorithms, the proposed neural decoding approach meets real-time decoding requirements at a 20Hz acquisition frame rate, achieving single decoding in just 21.8ms. This advancement significantly improves the efficiency of single-photon calcium imaging-based neural decoding, offering solutions for its application in real-time tasks, such as optical brain-computer interfaces.

neuroscience↗

Low mutation rate but high male-bias in the germline of a short-lived opossum

Age and sex have been found to be important determinants of the mutation rate per generation in mammals, but the mechanisms underlying these factors are still unclear. One approach to distinguishing between alternative mechanisms is to study species that reproduce at very young ages, as competing hypotheses make different predictions about patterns of mutation in these organisms. Here, we study the germline mutation rate in the gray short-tailed opossum, Monodelphis domestica, a laboratory model species that becomes reproductively mature at less than six months of age. Whole-genome sequencing of 22 trios reveals the lowest mutation rate per generation found in mammals thus far (0.26 x 10-8 per base pair per generation at an average parental age of 313 days), which is expected given their early reproduction. We also examine the mutation spectrum and find fewer mutations at CpG sites in opossums than in humans, consistent with the lower CpG content in the opossum genome. We observe that two-thirds of mutations are inherited from the male parent in opossums, slightly lower than the degree of male bias observed in organisms that reproduce at much older ages. Nevertheless, the very young age at reproduction in opossums suggests that ongoing spermatogonial divisions in males after puberty are not the primary driver of the observed male mutation bias. These findings contribute to a growing body of evidence that the differences between male and female germline mutation may arise from mechanisms other than cell division post-puberty. Article SummaryThis study investigates the germline mutation rate in the gray short-tailed opossum, a marsupial with early reproductive maturity. By sequencing 22 families, we report the lowest mutation rate recorded in mammals but a typical male mutation bias. These findings add to growing evidence that challenges the traditional view that continuing cell division is the primary driver of male-biased mutations. Instead, the study suggests that alternative mechanisms, such as differences in DNA repair, may influence sex-specific mutation rates.

evolutionary biology↗

Identifying Effect Modification of Latent Population Characteristics on Risk Factors with a Sparse Varying Coefficient Regression

Leveraging observational data to understand the associations between risk factors and disease outcomes and conduct disease risk prediction is a common task in epidemiology. While traditional linear regression and other machine learning models have been extensively implemented for this task, the associations between risk factors and disease outcomes are typically deemed fixed. In many cases, however, such associations may vary by some underlying features of the individuals, which may involve certain subpopulation characteristics and environmental factors. While data for these latent features may not be available, the observed data on risk factors may have captured some proportion of the variation in these features. Thus extracting latent factors from risk factors and incorporating this effect modification into the model may better capture the underlying data structure and improve inference. We develop a novel regression model with some coefficients varying as functions of latent features extracted from the risk factors. We have demonstrated the superiority of our approach in various data settings via simulation studies. An application on a dataset for lung cancer patients from The Cancer Genome Atlas (TCGA) Program showed that our approach led to a 6% - 118% increase in (AUC-0.5) for distinguishing between different lung cancer stages compared to the classic lasso and elastic net regressions and identified interesting latent effect modifications associated with certain gene pathways.

genetics↗

Marine medaka responds differently to dioxin compared with its close freshwater relative, the Japanese medaka: the AHR molecular mechanism

The global water pollution now calls for precise risk assessment of chemicals, e.g., dioxins and the emerging dioxin-like compounds (DLCs). The freshwater and marine medaka have been widely implemented in the toxicity testing, and perhaps give mechanistic information for comparative biology. The question that will they report equal results due to their close phylogenetic relation has been raised, therefore, we explored their physiological and molecular responses to dioxin. As the mediator of the dioxin toxicity, the aryl hydrocarbon receptor (AHR) of marine medaka (Oryzias melastigma) has not been functionally characterized and might be species-specific. In terms of sensitivity to dioxin--2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), the EC50 values of omeAHR1a (0.16{+/-}0.12 nM), omeAHR1b (2.96{+/-}2.96 nM), omeAHR2a (0.44{+/-}0.30 nM), and omeAHR2b (9.00{+/-}6.88 nM) exhibit marked variations. The omeAHR2a and omeAHR1a display heightened sensitivity compared to the freshwater Japanese medaka (Oryzias latipes) counterparts olaAHR2a and olaAHR1a, respectively. The results indicate the in vitro sensitivity of AHR among species can vary by one or two orders of magnitude. Physiologically, the marine medaka (LC50: 1.64 ng/L (95% CI: 1.05-2.55 ng/L)) also exhibits a pronounced sensitivity to TCDD than Japanese medaka (LC50: 3.42 ng/L (95% CI: 1.37-6.48 ng/L), aligning with the in vitro AHR sensitivity. Further mechanistic investigations using additional ligands and computational modeling reveal that: 1) most of omeAHR2a, olaAHR2a, dreAHR2, and hsaAHR interact with ligands in the affinity order of TCDD > PCB126 > BNF > indole, mirroring their AHR transactivation potency, but the docking poses and dynamics can vary; 2) one AHR subforms high sensitivity to dioxin--TCDD may extend to DLCs but not to other types of ligands. These insights underscore the difference of AHR biology among species even the close relative species, and finger out the necessity for meticulous consideration when evaluating the toxicity of compounds and when extending predictive toxicity assessments to more species.

ecology↗

D-glucuronyl C5-epimerase binds to EGFR to suppress kidney fibrosis

Renal tubular cells may actively participate in fibrosis processes leading to end-stage renal failure. However, which molecule play pivotal role in the fibrogenesis is still vague. Glucuronyl C5-epimerase (Hsepi, gene name, Glce) is a key enzyme that catalyzes biosynthesis of Heparan sulfate (HS) chains attached to HS proteoglycan which are ubiquitously located on cell membrane. Homozygous Glce-/- mice may cause embryonic lethality and multi-organ defects. However, whether Glce plays a key role in kidney fibrosis is unknown. Here, we show that Glce expression is significant attenuated in kidneys of patients with renal fibrosis and the animal models. Further study shows that renal tubular-specific Glce deletion in mice exacerbate kidney fibrosis while AAV-mediated overexpressing of Glce in UUO-treated mice may ameliorate kidney fibrosis associated with epithelial-mesenchymal transition (EMT) progress via the TGF-{beta}/Smad2/3 signaling pathway. Mechanism study demonstrates that Glce protein may bind to EGFR to inactivate EGFR/ERK signaling and further impede TGF-{beta}/Smad-driven EMT and renal fibrosis in Glce-/- and the wild type mice. Interestingly, the anti-fibrosis function is independent of Glce enzymatic activation. These data uncover a novel function for Glce which plays a key role in kidney tissues against fibrosis.

pathology↗

Cardiolipin-mimic lipid nanoparticles without antibody modification delivered senolytic in-vivo CAR-T therapy for inflamm-aging

mRNA-based in vivo CAR T cell engineering offers advantages over ex vivo therapies, including streamlined manufacturing and transient expression. However, current delivery requires antibody-modified vehicles with manufacturing challenges. In this study, inspired by cardiolipin, we identified a cardiolipin-like di-phosphoramide lipid that improved T cell transfection without targeting ligands, both in vivo and in vitro. The T cell-favored tropism is likely due to the lipids packing, shape, and rigidity. Encapsulating circular RNA further prolonged mRNA expression in the spleen and T cells. Using PL40 lipid nanoparticles, we delivered mRNA encoding a CAR targeting the senolytic and inflammatory antigen urokinase-type plasminogen activator receptor (uPAR), alleviating uPAR-related liver fibrosis and rheumatoid arthritis (RA). Single cell sequencing in humans confirmed uPARs relevance to senescence and inflammation in RA. To further enhance clinical translation, we screened and humanized scFvs against uPAR, establishing PL40 mRNA encoding a circular human uPAR CAR, with potential for treating aging-inflamed disorders. One Sentence SummaryWeve developed a unique class of Cardiolipin-mimic lipids that facilitate mRNA delivery to T cells in vivo without the need for antibody modification, enhancing the treatment of liver fibrosis and rheumatoid arthritis through circular CAR uPAR RNA and propelling the clinical application of humanized CAR against human uPAR.

bioengineering↗

Distinct Binding Modes of Inter-Spike Cross-Linking Suggest a Supplementary Mechanism for SARS-CoV-2 Antibody Neutralization

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its Omicron subvariants drastically amplifies transmissibility, infectivity, and immune escape, mainly due to their resistance to most neutralizing antibodies. Thus, exploring the mechanisms underlying antibody evasion is crucial. Although the full-length native form of antibody, immunoglobulin G (IgG), offers valuable insights into the neutralization, structural investigations primarily focus on the fragment of antigen-binding (Fab). Here, we employ single-particle cryo-electron microscopy (cryo-EM) to characterize a W328-6H2 antibody, in its native IgG form complexed with severe acute respiratory syndrome (SARS), severe acute respiratory syndrome coronavirus 2 wild-type (WT) and Omicron variant BA.1 spike protein (S). Three high-resolution structures reveal that the full-length IgG forms a centered head-to-head dimer of trimer when bound fully stoichiometrically with both SARS and WT S, while adopting a distinct offset configuration with Omicron BA.1 S. Combined with functional assays, our results suggest that, beyond the binding affinity between the RBD epitope and Fab, the higher-order architectures of S trimer and full-length IgG play an additional role in neutralization, elucidate a potential molecular basis of Omicron immune escape, and expand our understanding on antibody evasion mechanisms.

immunology↗

Target-specific design of drug-like PPI inhibitors via hot-spot-guided generative deep learning

Protein-protein interactions (PPIs) are vital therapeutic targets. However, the large and flat PPI interfaces pose challenges for the development of small-molecule inhibitors. Traditional computer-aided drug design approaches typically rely on pre-existing libraries or expert knowledge, limiting the exploration of novel chemical spaces needed for effective PPI inhibition. To overcome these limitations, we introduce Hot2Mol, a deep learning framework for the de novo design of drug-like, target-specific PPI inhibitors. Hot2Mol generates small molecules by mimicking the pharmacophoric features of hot-spot residues, enabling precise targeting of PPI interfaces without the need for bioactive ligands. The framework integrates three key components: a conditional transformer for pharmacophore-guided, drug-likeness-constrained molecular generation; an E(n)-equivariant graph neural network for accurate alignment with PPI hot-spot pharmacophores; and a variational autoencoder for generating novel and diverse molecular structures. Experimental evaluations demonstrate that Hot2Mol outperforms baseline models across multiple metrics, including docking affinities, drug-likenesses, synthetic accessibility, validity, uniqueness, and novelty. Furthermore, molecular dynamics simulations confirm the good binding stability of the generated molecules. Case studies underscore Hot2Mols ability to design high-affinity and selective PPI inhibitors, demonstrating its potential to accelerate rational PPI drug discovery.

bioinformatics↗

Prenatal stress increases corticosterone levels in offspring by impairing placental glucocorticoid barrier function

To investigate the association between prenatal stress (PS) and corticosterone, and its influence on DNA methylation of genes related to the placental glucocorticoid (GC) barrier, including 11{beta}-HSD2, P-gp, NR3C1, and FKBP5. The PS model was established through chronic unpredictable mild stress (CUMS). DNA methylation of GC-related genes was analyzed using reduced representation bisulfite sequencing (RRBS), and the results were confirmed using MethylTarget sequencing. The mRNA and protein expression levels of these genes were detected through qRT-PCR and Western blotting, respectively. Plasma corticosterone levels are elevated in pregnant female rats exposed to PS conditions and their offspring. Compared to the offspring of the prenatal control (OPC) group, the offspring of the prenatal stress (OPS) group showed down-regulation in both mRNA and protein expression of DNMT 3A and DNMT 3B, while up-regulation was observed in the expression of DNMT1. RRBS analyses identified P-gp and FKBP5 as hypermethylated genes, including a total of 43 differentially methylated sites (DMS) and 2 differentially methylated regions (DMR). MethylTarget sequencing revealed that both genes had 15 differentially methylated CpG sites. This study provides preliminary evidence that PS disrupts the placental GC barrier through abnormal gene expression caused by hypermethylation of GC-related genes, resulting in elevated corticosterone levels in offspring and affecting their growth and development.

developmental biology↗

Phage CRISPR-like regulatory RNAs silence bacterial adaptive and innate immunity

CRISPR RNAs (crRNAs) encoded by CRISPR arrays direct Cas nucleases against viruses. Some CRISPR-Cas loci also contain mini-arrays encoding crRNA-like RNAs (crlRNAs), which modulate transcription of cas or associated toxin genes that safeguard CRISPR-Cas activity. Here, we report that phages hijack these host crlRNA regulatory circuits to suppress bacterial immunity. Viral crlRNAs compete with host crRNAs for Cas protein binding and reprogram Cas proteins to silence their own expression or suppress transcription of CRISPR-safeguarding toxins. These anti-defense crlRNAs are found across diverse phages and plasmids, frequently organized into multiplexed transcriptional units resembling CRISPR arrays, and often synergize with co-encoded anti-CRISPR proteins to disable hierarchical host immune responses. Furthermore, we demonstrate that these compact viral crlRNA architectures can be harnessed for efficient mammalian genome editing. Our findings uncover widespread viral hijacking of host Cas proteins via crlRNAs, highlighting the recurrent exaptation of CRISPR-Cas regulatory functions to counter multilayered bacterial immune defenses.

microbiology↗

Stress-free Bioprinting of Human Primary and iPSC-derived Islets with Retained Functionality

Currently, Type 1 diabetes (T1D) can be treated through implantation of allogenic islets, which replenish the beta cell population, however this method requires an extensive post-implantation immunosuppressant regimen. Personalized cellular therapy can address this through implantation of an autologous cell population, induced pluripotent stem cells (iPSCs). Cellular therapy, however, requires an encapsulation device for implantation, and so to achieve this uniformly with cells in a clinical setting, bioprinting is a useful option. Bioprinting is dependent on having a bioink that is printable, retains structural fidelity after printing, and is supportive of cell type and function. While bioprinting of pancreatic islets has been demonstrated previously, success in maintaining islet function post-printing has been varied. The objective of this study is to investigate the feasibility of printing functional islets by determining the appropriate combination of bioink, printing parameters, and cell configuration. Here, we detail the successful bioprinting of both primary human islets and iPSC-derived islets embedded in an alginate/methylcellulose bioink, with functionality sustained within the construct for both cell lineages. Sc-RNAseq analysis also revealed that printing did not adversely affect the genetic expression and metabolic functionality of the iPSC-derived islets. Importantly, the iPSC-derived islets displayed comparable functionality to the primary islets, indicating the potential to act as a cell source alternative for T1D implantation.

bioengineering↗

Treadmill step training promotes corticospinal tract plasticity after incomplete spinal cord injury

Spinal cord injury (SCI) often impairs motor functions such as voluntary movement and fine motor control, with the corticospinal tract (CST) being a crucial pathway affected. While CST-targeted rehabilitation, such as treadmill training, supports motor recovery, gaps remain in understanding the topographical changes within the CST and how they correlate with behavioral outcomes. In this study, we utilized a custom Emx1Cre;LSL-SynGFP mouse line to quantify CST plasticity following moderate contusion SCI, both with and without exercise (treadmill) training. Fluorescent labeling of cortical synapses allowed for detailed visualization of descending CST rewiring, and we assessed its relationship to behavioral outcomes, including kinematics analysis and motivational state. Mice were stratified by motivational state using the Progressive Ratio Assay, and locomotor recovery was evaluated through the Basso Mouse Scale (BMS), joint/limb kinematics, and Motion Sequencing (MoSeq) analysis. Our findings indicate that treadmill training enhances CST rewiring, especially in highly motivated animals, leading to increased synaptic density in the ventral horn and improved BMS subscores. Motivation further influenced specific kinematic parameters, such as toe clearance, while treadmill training significantly improved speed by reducing the stance phase. Results suggest that while treadmill training induces broad beneficial outcomes, motivation may fine-tune recovery, influencing neural circuit and behavioral changes. This suggests multiple mechanisms converge to promote recovery--those we cannot control and those we can. These results underscore the combined role of task-specific training and also perhaps motivation in driving CST plasticity and functional recovery after SCI.

neuroscience↗

Comprehensive sequencing of the lung neuroimmune landscape in response to asthmatic induction

Evidence demonstrates that sensory neurons respond to pathogenic/allergic infiltration and mediate immune responses, forming an integral part of host defense that become hypersensitized during allergy. Our objective was to investigate how asthmatic induction alters the pulmonary neuroimmune transcriptome. We hypothesized that asthmatic induction would upregulate genes in the vagal ganglia (nodose/jugular ganglia), which would be associated with asthmatic immunity, and that these would be clustered, primarily in nodose neurons. Furthermore, lungs would increase transcripts associated with nerve activation, and these would be centered in neural and neuroendocrine-like cells. Bulk RNA-seq revealed that genes related to allergen sensing were increased in asthmatic ganglia nodose/jugular ganglia compared to control ganglia. These genes were associated with nodose clusters as shown by single-nucleus RNA sequencing, and a distinct caudal-to-rostral spatial arrangement was presented as delineated by spatial transcriptomics. The distinct clusters closely match previous identification of nodose neuron clusters. Correspondingly, the lung transcriptome was altered with asthmatic induction such that transcripts associated with neural excitation were upregulated. The spatial distribution of these transcripts was revealed by spatial transcriptomics to illustrate that these were expressed in neuroendocrine-like cells/club cells, and neurons. These results show that the neuroimmune transcriptome is altered in response to asthmatic induction in a cell cluster and spatially distinct manner. Significance statementThis study provides a comprehensive transcriptomic map of the neuroimmune alterations in response to asthmatic induction.

immunology↗

Polar bodies serve as a landmark for anteroposterior axis formation in spiders

The early embryogenesis of many spiders involves the formation of a radially symmetric germ disc. While the cells of the rim of this germ disc develops into anterior structures, the center of the disc will form the posteriorly located segment addition zone of the embryo. Therefore, germ disc formation sets the anterior-posterior (AP) body axis of spider embryos. The early spider egg is a spherical structure with no apparent asymmetry, and it is believed that germ disc formation is a stochastic process. For this study, we have re-analyzed early spider embryogenesis and found a strong correlation of the position of the polar bodies and the formation of the germ disc. Our results suggest that germ disc formation in the common house spider Parasteatoda tepidariorum is not a stochastic but a pre-determined process. Furthermore, we provide evidence that this correlation might be conserved between araneomorph and mygalomorph spider species.

developmental biology↗