Biology subjects

Sun, J.

Publications and source records attributed to Sun, J..

At least 253 records · Page 14Linked to original sources

bioRxiv2023

Force sensation by a Gs-coupled adhesion GPCR mediates equilibrioception by increasing vestibular hair cell membrane excitability and CNGA3 coupling

AbstractEquilibrioception is essential for the perception and navigation of mammals in the three-dimensional world. A rapid mechanoelectrical transduction (MET) response in vestibular hair cells plays a critical role in positional and motional perception. Here, we identified that the G protein-coupled receptor LPHN2/ADGRL2, which is expressed in the apical membrane of utricular hair cells, is required for maintenance of normal balance. Hair cell-specific Lphn2 deficiency in mice impaired both balance behaviors and MET responses. Functional analyses using Pou4f3-CreER+/-; Lphn2fl/fl mice and LPHN2-specific inhibitors revealed that LPHN2 regulated the tip link-independent MET current at the apical surface of the utricular hair cell by converting force stimuli into transmembrane channel-like protein 1 (TMC1) activity. Force sensation by LPHN2 also induced glutamate release and calcium signaling in utricular hair cells. Reintroduction of LPHN2 into the hair cells of Lphn2-deficient mice restored the vestibular functions and MET responses. Our data suggest an indispensable role for a mechanosensitive GPCR in equilibrioception.

physiology↗

bioRxiv2023

Dose-dependent effects of histone methyltransferase NSD2 on site-specific double-strand break repair

Histone modifications are catalyzed and recognized by specific proteins to regulate dynamic DNA metabolism processes. NSD2 is a histone H3 lysine 36 (H3K36)-specific methyltransferase that associates both with various transcription regulators and DNA repair factors. Specifically, it has been implicated in the repair of DNA double-strand breaks (DSBs); however, the role of NSD2 during DSB repair remains enigmatic. Here, we show that NSD2 does not accumulate at DSB sites and that the localization of NSD2 at chromatin is maintained even after DSB formation. Using three different DSB repair reporter systems, which contained the endonuclease site in the active thymidine kinase gene (TK) locus, we demonstrated separate dose-dependent effects of NSD2 on HR, canonical-NHEJ (c-NHEJ), and non-canonical-NHEJ (non-c-NHEJ). Endogenous NSD2 has a role in repressing non-c-NHEJ, without affecting DSB repair efficiency by HR or total NHEJ. Furthermore, overexpression of NSD2 promotes c-NHEJ repair suppressing HR repair. Therefore, we propose that NSD2 has functions in chromatin integrity at the active regions during DSB repair.

cell biology↗

bioRxiv2023

Federated Learning for multi-omics: a performance evaluation in Parkinson's disease

While machine learning (ML) research has recently grown more in popularity, its application in the omics domain is constrained by access to sufficiently large, high-quality datasets needed to train ML models. Federated Learning (FL) represents an opportunity to enable collaborative curation of such datasets among participating institutions. We compare the simulated performance of several models trained using FL against classically trained ML models on the task of multi-omics Parkinsons Disease prediction. We find that FL model performance tracks centrally trained ML models, where the most performant FL model achieves an AUC-PR of 0.876 {+/-} 0.009, 0.014 {+/-} 0.003 less than its centrally trained variation. We also determine that the dispersion of samples within a federation plays a meaningful role in model performance. Our study implements several open source FL frameworks and aims to highlight some of the challenges and opportunities when applying these collaborative methods in multi-omics studies. The Bigger PictureThe wide-scale application of artificial intelligence and computationally intensive analytical approaches in the biomedical and clinical domain is largely restricted by access to sufficient training data. This data scarcity exists due to the isolated nature of biomedical and clinical institutions, mandated by patient privacy policies in the health system or government legislation. Federated Learning (FL), a machine learning approach that facilitates collaborative model training is a promising strategy to address these restrictions. Therefore, understanding the limitations of cooperatively trained FL models, and their performance differences to similar, centrally trained models, is crucial to valuing their implementation in the broader biomedical research community.

bioinformatics↗

bioRxiv2023

An integrated transcriptomic cell atlas of human neural organoids

Neural tissues generated from human pluripotent stem cells in vitro (known as neural organoids) are becoming useful tools to study human brain development, evolution and disease. The characterization of neural organoids using single-cell genomic methods has revealed a large diversity of neural cell types with molecular signatures similar to those observed in primary human brain tissue. However, it is unclear which domains of the human nervous system are covered by existing protocols. It is also difficult to quantitatively assess variation between protocols and the specific cell states in organoids as compared to primary counterparts. Single-cell transcriptome data from primary tissue and neural organoids derived with guided or un-guided approaches and under diverse conditions combined with large-scale integrative analyses make it now possible to address these challenges. Recent advances in computational methodology enable the generation of integrated atlases across many data sets. Here, we integrated 36 single-cell transcriptomics data sets spanning 26 protocols into one integrated human neural organoid cell atlas (HNOCA) totaling over 1.7 million cells. We harmonize cell type annotations by incorporating reference data sets from the developing human brain. By mapping to the developing human brain reference, we reveal which primary cell states have been generated in vitro, and which are under-represented. We further compare transcriptomic profiles of neuronal populations in organoids to their counterparts in the developing human brain. To support rapid organoid phenotyping and quantitative assessment of new protocols, we provide a programmatic interface to browse the atlas and query new data sets, and showcase the power of the atlas to annotate new query data sets and evaluate new organoid protocols. Taken together, the HNOCA will be useful to assess the fidelity of organoids, characterize perturbed and diseased states and facilitate protocol development in the future.

developmental biology↗

bioRxiv2023

Comparative single-cell analysis reveals IFN-γ as a driver of respiratory sequelae post COVID-19

Post-acute sequelae of SARS-CoV-2 infection (PASC) represents an urgent public health challenge, with its impact resonating in over 60 million individuals globally. While a growing body of evidence suggests that dysregulated immune reactions may be linked with PASC symptoms, most investigations have primarily centered around blood studies, with few focusing on samples derived from post-COVID affected tissues. Further, clinical studies alone often provide correlative insights rather than causal relationships. Thus, it is essential to compare clinical samples with relevant animal models and conduct functional experiments to truly understand the etiology of PASC. In this study, we have made comprehensive comparisons between bronchoalveolar lavage fluid (BAL) single-cell RNA sequencing (scRNAseq) data derived from clinical PASC samples and relevant PASC mouse models. This revealed a strong pro-fibrotic monocyte-derived macrophage response in respiratory PASC (R-PASC) in both humans and mice, and abnormal interactions between pulmonary macrophages and respiratory resident T cells. IFN-{gamma} emerged as a key node mediating the immune anomalies in R-PASC. Strikingly, neutralizing IFN-{gamma} post the resolution of acute infection reduced lung inflammation, tissue fibrosis, and improved pulmonary gas-exchange function in two mouse models of R-PASC. Our study underscores the importance of performing comparative analysis to understand the root cause of PASC for developing effective therapies.

immunology↗

bioRxiv2023

Transcriptional coupling of telomeric retrotransposons with the cell cycle

Instead of employing telomerases to safeguard chromosome ends, dipteran species maintain their telomeres by transposition of telomeric-specific retrotransposons (TRs): in Drosophila, these are HeT-A, TART, and TAHRE. Previous studies have shown how these TRs create tandem repeats at chromosome ends, but the exact mechanism controlling TR transcription has remained unclear. Here we report the identification of multiple subunits of the transcription cofactor Mediator complex and transcriptional factors Scalloped (Sd, the TEAD homolog in flies) and E2F1-Dp as novel regulators of TR transcription and telomere length in Drosophila. Depletion of multiple Mediator subunits, Dp, or Sd increased TR expression and telomere length, while over-expressing E2F1-Dp or knocking down the E2F1 regulator Rbf1 (Retinoblastoma-family protein 1) stimulated TR transcription, with Mediator and Sd affecting TR expression through E2F1-Dp. The CUT&RUN analysis revealed direct binding of CDK8, Dp, and Sd to telomeric repeats. These findings highlight the essential role of the Mediator complex in maintaining telomere homeostasis by regulating TR transcription through E2F1-Dp and Sd, revealing the intricate coupling of TR transcription with the host cell-cycle machinery, thereby ensuring chromosome end protection and genomic stability during cell division.

cell biology↗

bioRxiv2023

Inhibiting endothelial cell Mst1 attenuates acute lung injury in mice

BackgroundLung endothelium plays a pivotal role in the orchestration of inflammatory and injury responses to acute pulmonary insults. Mammalian sterile 20-like kinase 1 (Mst1), a mammalian homolog of Hippo, is a serine/threonine kinase that is ubiquitously expressed in many tissues and has been shown to play an important role in the regulation of apoptosis, inflammation, stress responses, and organ growth. While Mst1 exhibits high expression in the lung, its involvement in the endothelial response to pulmonary insults remains largely unexplored. MethodsMst1 activity was assessed in lung endothelium by western blot. Mst1 endothelial specific knockout mice and a pharmacological inhibitor were employed to assess the effects of Mst1 on homeostatic and lipopolysaccharide (LPS)-induced endothelial responses. Readouts for these studies included various assays, including NF-{kappa}B activation and levels of various inflammatory cytokines and adhesion molecules. The role of Mst1 in lung injury was evaluated in a LPS-induced murine model of acute lung injury (ALI). ResultsMst1 phosphorylation was significantly increased in lung endothelial cells after exposure to tumor necrosis factor (TNF)-alpha (TNF-) and mouse lung tissues after LPS exposure. Overexpression of full length Mst1 or its kinase domain promoted nuclear factor kappaB (NF-{kappa}B) activation through promoting JNK and p38 activation, whereas dominant negative forms of Mst1 (DN-Mst1) attenuated endothelial responses to TNF- and interleukin-1{beta}. Consistent with this, targeted deletion of Mst1 in lung endothelium reduced lung injury to LPS in mice. Similarly, wild-type mice were protected from LPS-induced lung injury following treatment with a pharmacological inhibitor of Mst1/2. ConclusionsOur findings identified Mst1 kinase as a key regulator in the control of lung EC activation and suggest that therapeutic strategies aimed at inhibiting Mst1 activation might be effective in the prevention and treatment of lung injury to inflammatory insults.

physiology↗

bioRxiv2023

Progressive community, biogeochemical and evolutionary remodeling of the soil microbiome underpins long-term desert ecosystem restoration

Ecological restoration of degraded lands is essential to human sustainability. Yet, an in-depth community, functional, and evolutionary microbial perspective of long-term restoration of damaged ecosystems is lacking. Herein, we comprehensively assessed the impact of long-term (up to 17 years) restoration of Tengger Desert, China, by multi-omic profiling of 1,910 topsoil samples. The soil biophysiochemical properties, especially soil hydraulics, microbiome stability, and functional diversity, significantly improved during restoration. The soil microbiome transitioned from an extreme oligotrophic and autotrophic community to a diverse copiotrophic ecosystem. The soil microbiota, including fungi, could mediate the soil physicochemical changes through metabolites. Importantly, the systematic rewiring of nutrient cycles featured the multi-domain preference of an efficient carbon fixation strategy in the extreme desert environment. Finally, the microbiome was evolving via positive selections of genes of biogeochemical cycles, resistance, and motility. In summary, we present a comprehensive community, functional, biogeochemical, and evolutionary landscape of the soil microbiome during the long-term restoration of desert environments. We highlight the crucial microbial role in restoration from soil hydraulic and biogeochemical perspectives, offering promising field applications. HighlightsO_LIThe desert soil microbiome transformed from simple oligotrophic to a diverse, stable, and nutrient-rich ecosystem with expanded functional diversity. C_LIO_LIRestoration led to systematically rewired biogeochemical cycles, which are highly efficient in carbon fixation in the desert environment. C_LIO_LIThe microbiome was evolving via positive selections of genes involved in biogeochemical cycles and environmental adaptations. C_LIO_LIMicrobes and metabolites could facilitate desert restoration from hydraulic and biogeochemical aspects, offering promising field applications. C_LI

microbiology↗

bioRxiv2023

A muscle hypertrophy-derived myokine reprograms the stromal vascular fractions differentiation towards thermogenic adipocytes in subcutaneous adipose tissue

Skeletal muscle plays a significant role in both local and systemic energy metabolism; however, the cross-talk between skeletal muscle and adipose tissue remains largely unexplored. In this study, we identify the HIF2-Bambi-Thbs4 axis as a critical driver of muscle hypertrophy and metabolic improvement. Deletion of Bambi induces muscle hypertrophy and oxidative switching, thereby enhancing local and systemic metabolism under conditions of rodent chow and high-fat diets (HFD). Other than the metabolic regulation of skeletal muscle hypertrophy, we hypothesize that a portion of this improvement may be attributed to the metabolic reprogramming of the stromal vascular fraction (SVFs) of iWAT, promoting the development of beige adipocytes. Leveraging multi-omics approaches, we establish Thbs4 as a newly identified, muscle hypertrophy-derived myokine that serves as an essential regulator of this metabolic reprogramming. Thbs4 is upregulated in skeletal muscle during hypertrophy and aerobic exercise, localizes to the iWAT membrane, and facilitates the transformation of white adipocytes into beige adipocytes under conditions such as cold exposure, muscle hypertrophy, or aerobic exercise. Moreover, overexpression of Thbs4 elevates its plasma levels and leads to the transformation of white to beige adipocytes, therefore offering long-term protection against HFD-induced metabolic disorders. Conversely, Thbs4 knockout (Thbs4-KO) disrupts the metabolic reprogramming of SVFs and exacerbates metabolic syndromes induced by an HFD, mirroring the observed decline in Thbs4 levels in aged mice. Therefore, our findings underscore Thbs4s potential as both a long-term metabolic protective factor and a therapeutic target for the treatment of metabolic disorders. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=197 HEIGHT=200 SRC="FIGDIR/small/558627v1_ufig1.gif" ALT="Figure 1"> View larger version (63K): org.highwire.dtl.DTLVardef@1178e6org.highwire.dtl.DTLVardef@1184d4eorg.highwire.dtl.DTLVardef@7b592aorg.highwire.dtl.DTLVardef@1b0b03_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIBambi, a direct target gene of HIF2 in skeletal muscle, when deleted, triggers muscle hypertrophy and the transformation of white into beige adipocytes, improving systemic energy metabolism. C_LIO_LIThe metabolic reprogramming of stromal vascular fractions (SVFs) contributes to the observed improvements in energy metabolism and adipocyte hyperplasia. C_LIO_LIThbs4, a novel myokine produced in skeletal muscle during hypertrophy and aerobic exercise, plays a key role in the transformation of white into beige adipocytes. C_LIO_LIOverexpression of Thbs4 provides enduring protection against high-fat diet (HFD)-induced metabolic disorders, demonstrating its potential as a therapeutic target. C_LIO_LIThbs4 deletion abrogates the beneficial metabolic reprogramming of SVFs and exacerbates HFD-induced metabolic syndromes, further underlining its crucial role in metabolic regulation. C_LI

physiology↗

bioRxiv2023

Neural stem cells protect the integrity of blood-brain barrier via the p38, JNK and ERK1/2 pathways following intracerebral hemorrhage in rats

Neural stem cells (NSCs) have displayed great potential in ameliorating brain damage following intracerebral hemorrhage (ICH) via proliferation, differentiation, and immunomodulation. However, it remains unclear whether NSCs can improve microvascular function, e.g., blood-brain barrier (BBB) integrity, after ICH. In this study, we investigate the potential therapeutic benefit of NSCs on BBB integrity as well as the underlying mechanism. Adult male Sprague-Dawley rats were randomly divided into sham, ICH+PBS, and ICH+NSCs groups for comparisons. ICH was induced by intrastriatal injection of bacterial collagenase. An aliquot of NSCs or PBS was injected via the tail vein 2 h after ICH induction. The following multiparametric measurements were compared: brain edema, hematoma volume, behavior, BBB permeability, and mitogen-activated protein kinase (MAPK) signaling pathway activity. We found that NSCs treatment attenuates BBB permeability, reduces brain edema, and promotes brain function recovery after ICH by inhibiting ERK1/2, p38, and JNK signaling pathway activation. These findings provide novel insight for future therapies aiming to prevent BBB dysfunction and improve functional recovery in ICH patients.

neuroscience↗

bioRxiv2023

Proximal immune-epithelial progenitor interactions drive chronic tissue sequelae post COVID-19

The long-term physiological consequences of SARS-CoV-2, termed Post-Acute Sequelae of COVID-19 (PASC), are rapidly evolving into a major public health concern. The underlying cellular and molecular etiology remain poorly defined but growing evidence links PASC to abnormal immune responses and/or poor organ recovery post-infection. Yet, the precise mechanisms driving non-resolving inflammation and impaired tissue repair in the context of PASC remain unclear. With insights from three independent clinical cohorts of PASC patients with abnormal lung function and/or viral infection-mediated pulmonary fibrosis, we established a clinically relevant mouse model of post-viral lung sequelae to investigate the pathophysiology of respiratory PASC. By employing a combination of spatial transcriptomics and imaging, we identified dysregulated proximal interactions between immune cells and epithelial progenitors unique to the fibroproliferation in respiratory PASC but not acute COVID-19 or idiopathic pulmonary fibrosis (IPF). Specifically, we found a central role for lung-resident CD8+ T cell-macrophage interactions in maintaining Krt8hi transitional and ectopic Krt5+ basal cell progenitors, thus impairing alveolar regeneration and driving fibrotic sequelae after acute viral pneumonia. Mechanistically, CD8+ T cell derived IFN-{gamma} and TNF stimulated lung macrophages to chronically release IL-1{beta}, resulting in the abnormal accumulation of dysplastic epithelial progenitors and fibrosis. Notably, therapeutic neutralization of IFN-{gamma} and TNF, or IL-1{beta} after the resolution of acute infection resulted in markedly improved alveolar regeneration and restoration of pulmonary function. Together, our findings implicate a dysregulated immune-epithelial progenitor niche in driving respiratory PASC. Moreover, in contrast to other approaches requiring early intervention, we highlight therapeutic strategies to rescue fibrotic disease in the aftermath of respiratory viral infections, addressing the current unmet need in the clinical management of PASC and post-viral disease.

immunology↗

bioRxiv2023

The crystal structure of bacteriophage lambda RexA provides novel insights into the DNA binding properties of Rex-like phage exclusion proteins

RexA and RexB function as an exclusion system that prevents bacteriophage T4rII mutants from growing on E. coli {lambda} phage lysogens. Recent data established that RexA is a non-specific DNA binding protein that can act independently of RexB to bias the {lambda} bistable switch toward the lytic state, preventing conversion back to lysogeny. The molecular interactions underlying these activities are unknown, owing in part to a dearth of structural information. Here we present the 2.05-[A] crystal structure of the {lambda} RexA dimer, which reveals a two-domain architecture with unexpected structural homology to the recombination-associated protein RdgC. Modelling suggests that our structure adopts a closed conformation and would require significant domain rearrangements to facilitate DNA binding. Mutagenesis coupled with electromobility shift assays, limited proteolysis, and double electron-electron spin resonance spectroscopy support a DNA-dependent conformational change. In vivo phenotypes of RexA mutants suggest that DNA binding is not a strict requirement for phage exclusion but may directly contribute to modulation of the bistable switch. We further demonstrate that RexA homologs from other temperate phages also dimerize and bind DNA in vitro. Collectively, these findings advance our mechanistic understanding of Rex functions and provide new evolutionary insights into different aspects of phage biology.

microbiology↗

bioRxiv2023

A mutant fitness compendium in Bifidobacteria reveals molecular determinants of colonization and host-microbe interactions

Bifidobacteria commonly represent a dominant constituent of human gut microbiomes during infancy, influencing nutrition, immune development, and resistance to infection. Despite interest as a probiotic therapy, predicting the nutritional requirements and health-promoting effects of Bifidobacteria is challenging due to major knowledge gaps. To overcome these deficiencies, we used large-scale genetics to create a compendium of mutant fitness in Bifidobacterium breve (Bb). We generated a high density, randomly barcoded transposon insertion pool in Bb, and used this pool to determine Bb fitness requirements during colonization of germ-free mice and chickens with multiple diets and in response to hundreds of in vitro perturbations. To enable mechanistic investigation, we constructed an ordered collection of insertion strains covering 1462 genes. We leveraged these tools to improve models of metabolic pathways, reveal unexpected host- and diet-specific requirements for colonization, and connect the production of immunomodulatory molecules to growth benefits. These resources will greatly reduce the barrier to future investigations of this important beneficial microbe.

microbiology↗

bioRxiv2023

The role of neutrophil typing in homeostatic resilience protective model of inflammatory preconditioning

Sepsis is a systemic inflammatory response syndrome (SIRS) characterized by a dysregulated host response to infection that results in organ dysfunction. The response of neutrophils to early inflammation is critical, interferon regulatory factors 4 (IRF4) and interferon regulatory factors 5 (IRF5) are expressed in most cell types of the immune system, but the relationship between the role of IRF4 and IRF5 in preconditioning-protected septic peritonitis mouse model and neutrophils response remains unknown. In this study, we used an E.coli-induced septic peritonitis mouse model and zebrafish model to explore the relationship between neutrophil inflammation and IRF subtype changes in the process of septic peritonitis. Mechanistically, we found that the protein complex formed by polymorphonuclear neutrophils (PMN) and IRF5/MyD88 can secrete pro-inflammatory factors and directly kill invading bacteria. Author SummaryNumerous animal and clinical sepsis studies have shown that markedly impaired recruitment of neutrophils to sites of infection and failure to clear bacteria contribute to excessive inflammation and increased mortality in sepsis. In our previous work, we established an Escherichia coli (E.coli) lethal septic peritonitis model and a preconditioning-protected septic peritonitis mouse model. In the early stage of septic peritonitis, a large number of PMN infiltrate the peritoneal cavity, which produces an inflammatory response to invasive bacteria. In this study, the switching process between pro-inflammatory and anti-inflammatory attracted our attention. Our research shows that IRF5-IRF4 regulatory axis leads to a PMN phenotype switch in sepsis and the expression of IRF5 and IRF4 was related to PMN pro-inflammatory (N1 type) and anti-inflammatory (N2 type) phenotypes, respectively.

immunology↗

bioRxiv2023

Structure-based self-supervised learning enables ultrafast prediction of stability changes upon mutation at the protein universe scale

Predicting free energy changes ({Delta}{Delta}G) is of paramount significance in advancing our comprehension of protein evolution and holds profound implications for protein engineering and pharmaceutical development. Traditional methods, however, often suffer from limitations such as sluggish computational speed or heavy reliance on biased training datasets. These challenges are magnified when aiming for accurate {Delta}{Delta}G prediction across the vast universe of protein sequences. In this study, we present Pythia, a self-supervised graph neural network tailored for zero-shot {Delta}{Delta}G predictions. In comparative benchmarks with other self-supervised pre-training models and force field-based methods, Pythia outshines its contenders with superior correlations while operating with the fewest parameters, and exhibits a remarkable acceleration in computational speed, up to 105-fold. The efficacy of Pythia is corroborated through its application in predicting thermostable mutations of limonene epoxide hydrolase (LEH) with significant higher experimental success rates. This efficiency propels the exploration of 26 million high-quality protein structures. Such a grand-scale application signifies a leap forward in our capacity to traverse the protein sequence space and potentially enrich our insights into the intricacies of protein genotype-phenotype relationships. We provided a web app at https://pythia.wulab.xyz for users to conveniently execute predictions. Keywords: self-supervised learning, protein mutation prediction, protein thermostability

bioinformatics↗

bioRxiv2023

Dynamic simulations of feeding and respiration of the early Cambrian periderm-bearing cnidarian polyps

Although fossil evidence suggests the existence of an early muscular system in the ancient cnidarian jellyfish from the early Cambrian Kuanchuanpu biota (ca. 535 Ma), south China, the mechanisms underlying the feeding and respiration of the early jellyfish are conjectural. Recently, the polyp inside the periderm of olivooids was demonstrated to be a calyx-like structure, most likely bearing short tentacles and bundles of coronal muscles at the edge of the calyx, thus presumably contributing to feeding and respiration. Here, we simulate the contraction and expansion of the microscopic periderm-bearing olivooid Quadrapyrgites via the fluid-structure interaction computational fluid dynamics (CFD) method to investigate their feeding and respiratory activities. The simulations show that the rate of water inhalation by the polyp subumbrella is positively correlated with the rate of contraction and expansion of the coronal muscles, consistent with the previous feeding and respiration hypothesis. The dynamic simulations also show that the frequent inhalation/exhalation of water through the periderm polyp expansion/contraction conducted by the muscular system of Quadrapyrgites most likely represents the ancestral feeding and respiration patterns of Cambrian sedentary medusozoans that predated the rhythmic jet-propelled swimming of the modern jellyfish. Most importantly for these Cambrian microscopic sedentary medusozoans, the increase of body size and stronger capacity of muscle contraction may have been indispensable in the stepwise evolution of active feeding and subsequent swimming in a higher flow (or higher Reynolds number) environment. Impact statementTo the best of our knowledge, our study is the first to simulate the feeding and respiration patterns of Quadrapyrgites by introducing a dynamic fluid-structure coupling method, revealing the relationship between the ancient medusozoans and modern jellyfish.

evolutionary biology↗

bioRxiv2023

Decoding working memory information from persistent and activity-silent neurons in the primate prefrontal cortex

Persistent activity of neurons in the prefrontal cortex has been thought to represent the information maintained in working memory, though alternative models have recently challenged this idea. Activity-silent theories posit that stimulus information may be maintained by the activity pattern of neurons that do not produce firing rate significantly elevated about their baseline during the delay period of working memory tasks. We thus tested the ability of neurons that do and do not generate persistent activity in the prefrontal cortex of monkeys to represent spatial and object information in working memory. Neurons that generated persistent activity represented more information about the stimuli in both spatial and object working memory tasks. The amount of information that could be decoded from neural activity depended on the choice of decoder and parameters used but neurons with persistent activity outperformed non-persistent neurons consistently. Although averaged across all neurons and stimuli, firing rate did not appear clearly elevated above baseline during the maintenance of neural activity particularly for object working memory, this grant average masked neurons that generated persistent activity selective for their preferred stimuli, which carried the majority of information about the stimulus identity. These results reveal that prefrontal neurons with generate persistent activity constitute the primary mechanism of working memory maintenance in the cortex. NEW AND NOTEWORTHYCompeting theories suggest that neurons that generate persistent activity or do not are primarily responsible for the maintenance of information, particularly regarding object working memory. While the two models have been debated on theoretical terms, direct comparison of empirical results have been lacking. Analysis of neural activity in a large database of prefrontal recordings revealed that neurons that generate persistent activity were primarily responsible for the maintenance of both spatial and object working memory.

neuroscience↗

bioRxiv2023

Synergistic efficacy of tigecycline combined with apramycin against tet(X)-harboring Acinetobacter spp.

The emergence of the wide variety of novel tigecycline resistance tet(X) variants including tet(X3), tet(X4), tet(X5) and tet(X6) has posed a significant challenge to the clinical treatment of multidrug-resistant bacterial infections and represents a serious threat to global public health. The purpose of this study was to evaluate the synergism of tigecycline combined with other antibiotics as a means of overcoming tet(X)-mediated resistance in Acinetobacter spp. We found that the combinations of tigecycline with apramycin or amikacin exhibited synergistic activity against tet(X)-harboring Acinetobacter spp. with FICI values of 0.088 and 0.625, respectively. The MICTGC decreased >5-fold decrease in the presence of subinhibitory levels of apramycin. This combination was shown to be a therapeutically effective synergism using both in vitro and in vivo (mouse thigh infection model) assays and delayed the increase of MIC values over time. This study highlights the synergism of tigecycline in combination with apramycin which offers a viable therapeutic alternative for infections caused by tet(X)-harboring Acinetobacter.

pharmacology and toxicology↗