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Wu, Y.

Publications and source records attributed to Wu, Y..

At least 739 records · Page 41Linked to original sources

Exogenous DNA upregulates DUOX2 expression and function in human pancreatic cancer cells by activating the cGAS-STING signaling pathway

Pro-inflammatory cytokines upregulate the expression of the H2O2-producing NADPH oxidase dual oxidase 2 (DUOX2) which, when elevated, adversely affects survival from pancreatic ductal adenocarcinoma (PDAC). Because the cGAS-STING pathway is known to initiate pro-inflammatory cytokine expression following uptake of exogenous DNA, we examined whether activation of cGAS-STING could play a role in the generation of reactive oxygen species by PDAC cells. Here, we found that a variety of exogenous DNA species markedly increased the production of cGAMP, the phosphorylation of TBK1 and IRF3, and the translocation of phosphorylated IRF3 into the nucleus, leading to a significant, IRF3-dependent enhancement of DUOX2 expression, and a significant flux of H2O2 in PDAC cells. However, unlike the canonical cGAS-STING pathway, DNA-related DUOX2 upregulation was not mediated by NF-{kappa}B; and although exogenous IFN-{beta} significantly increased Stat1/2-associated DUOX2 expression, intracellular IFN-{beta} signaling that followed cGAMP or DNA exposure did not itself increase DUOX2 levels. Finally, DUOX2 upregulation subsequent to cGAS-STING activation was accompanied by the enhanced, normoxic expression of HIF-1 as well as DNA double strand cleavage, suggesting that cGAS-STING signaling may support the development of an oxidative, pro-angiogenic microenvironment that could contribute to the inflammation-related genetic instability of pancreatic cancer.

cancer biology↗

Scaled-expansion of the membrane associated cytoskeleton requires conserved kinesin adaptors

A periodic lattice of actin rings and spectrin tetramers scaffolds the axonal membrane. How spectrin is delivered to this structure to scale its size to that of the growing axon is unknown. We found that endogenous spectrin, visualized with singe axon resolution in vivo, is delivered to hotspots in the lattice that support its expansion at rates set by axon stretch-growth. Unlike other cytoskeletal proteins, whose apparent slow movement consists of intermittent bouts of fast movements, spectrin moves slowly and processively. We identified a pair of coiled coil proteins that mediate this slow movement and the expansion of the lattice by linking spectrin to kinesin-1. Thus, processive slow transport and local lattice incorporation support scaled cytoskeletal expansion during axon stretch-growth. One-Sentence SummaryKinesin adaptors control spectrin transport and expansion of the membrane periodic skeleton.

cell biology↗

A Pairwise Imputation Strategy for Retaining Predictive Features When Combining Multiple Datasets

In the training of predictive models using high-dimensional genomic data, multiple studies worth of data are often combined to increase sample size and improve generalizability. A drawback of this approach is that there may be different sets of features measured in each study due to variations in expression measurement platform or technology. It is often common practice to work only with the intersection of features measured in common across all studies, which results in the blind discarding of potentially useful feature information that is measured only in individual or subsets of all studies. We characterize the loss in predictive performance incurred by using only the intersection of feature information available across all studies when training predictors using gene expression data from microarray and sequencing datasets. We study the properties of linear and polynomial regression for imputing discarded features and demonstrate improvements in the external performance of predictors through simulation and in gene expression data collected on breast cancer patients. We propose and evaluate a pairwise imputation strategy that imputes cross-study missing features in each pair of studies and averages imputed features across pairs. Finally, we provide insights on which subsets of intersected and study-specific features should be used so that missing-feature imputation best promotes cross-study replicability. All code with directions to reproduce results in this paper is available at https://github.com/YujieWuu/Pairwise_imputation

bioinformatics↗

A cocktail containing two synergetic antibodies broadly neutralizes SARS-CoV-2 and its variants including Omicron BA.1 and BA.2

Neutralizing antibodies (NAbs) can prevent and treat infections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, continuously emerging variants, such as Omicron, have significantly reduced the potency of most known NAbs. The selection of NAbs with broad neutralizing activities and the identification of conserved critical epitopes are still urgently needed. Here, we identified an extremely potent antibody (55A8) by single B-cell sorting from convalescent SARS-CoV-2-infected patients that recognized the receptor-binding domain (RBD) in the SARS-CoV-2 spike (S) protein. 55A8 could bind to wild-type SARS-CoV-2, Omicron BA.1 and Omicron BA.2 simultaneously with 58G6, a NAb previously identified by our group. Importantly, an antibody cocktail containing 55A8 and 58G6 (2-cocktail) showed synergetic neutralizing activity with a half-maximal inhibitory concentration (IC50) in the picomolar range in vitro and prophylactic efficacy in hamsters challenged with Omicron (BA.1) through intranasal delivery at an extraordinarily low dosage (25 g of each antibody daily) at 3 days post-infection. Structural analysis by cryo-electron microscopy (cryo-EM) revealed that 55A8 is a Class III NAb that recognizes a highly conserved epitope. It could block angiotensin-converting enzyme 2 (ACE2) binding to the RBD in the S protein trimer via steric hindrance. The epitopes in the RBD recognized by 55A8 and 58G6 were found to be different and complementary, which could explain the synergetic mechanism of these two NAbs. Our findings not only provide a potential antibody cocktail for clinical use against infection with current SARS-CoV-2 strains and future variants but also identify critical epitope information for the development of better antiviral agents.

immunology↗

Conserved cell-type specific signature of resilience to Alzheimer's disease nominates role for excitatory cortical neurons

Alzheimers disease (AD), the leading cause of dementia, affects millions of people worldwide. With no disease-modifying medication currently available, the human toll and economic costs are rising rapidly. Under current standards, a patient is diagnosed with AD when both cognitive decline and pathology (amyloid plaques and neurofibrillary tangles) are present. Remarkably, some individuals who have AD pathology remain cognitively normal. Uncovering factors that lead to "cognitive resilience" to AD is a promising path to create new targets for therapies. However, technical challenges discovering novel human resilience factors limit testing, validation, and nomination of novel drugs for AD. In this study, we use single-nucleus transcriptional profiles of postmortem cortex from human individuals with high AD pathology who were either cognitively normal (resilient) or cognitively impaired (susceptible) at time of death, as well as mouse strains that parallel these differences in cognition with high amyloid load. Our cross-species discovery approach highlights a novel role for excitatory layer 4/5 cortical neurons in promoting cognitive resilience to AD, and nominates several resilience genes that include ATP1A1, GRIA3, KCNMA1, and STXBP1. This putative cell type has been implicated in resilience in previous studies on bulk RNA-seq tissue, but our single-nucleus and cross-species approach identifies particular resilience-associated gene signatures in these cells. These novel resilience candidate genes were tested for replication in orthogonal data sets and confirmed to be correlated with cognitive resilience. Based on these gene signatures, we identified several potential mechanisms of resilience, including regulation of synaptic plasticity, axonal and dendritic development, and neurite vesicle transport along microtubules that are potentially targetable by available therapeutics. Because our discovery of resilience-associated genes in layer 4/5 cortical neurons originates from an integrated human and mouse transcriptomic space from susceptible and resilient individuals, we are positioned to test causality and perform mechanistic, validation, and pre-clinical studies in our human-relevant AD-BXD mouse panel.

neuroscience↗

A partnership of the lipid scramblase XK and of the lipid transfer protein VPS13A at the plasma membrane

Chorea-acanthocytosis and McLeod syndrome are diseases with shared clinical manifestations caused by mutations in VPS13A and XK, respectively. Key features of these conditions are the degeneration of caudate neurons and the presence of abnormally shaped erythrocytes. XK belongs to a family of plasma membrane (PM) lipid scramblases whose action results in exposure of PtdSer at the cell surface. VPS13A is an ER-anchored lipid transfer protein with a putative role in the transport of lipids at contacts of the ER with other membranes. Recently VPS13A and XK were reported to interact by still unknown mechanisms. So far, however, there is no evidence for a colocalization of the two proteins at contacts of the ER with the PM, where XK resides, as VPS13A was shown to be localized at contacts between the ER and either mitochondria or lipid droplets. Here we show that VPS13A can also localize at ER-PM contacts via the binding of its PH domain to a cytosolic loop of XK, that such interaction is regulated by an intramolecular interaction within XK and that both VPS13A and XK are highly expressed in the caudate neurons. Binding of the PH domain of VPS13A to XK is competitive with its binding to intracellular membranes that mediate other tethering functions of VPS13A. Our findings support a model according to which VPS13A-dependent lipid transfer between the ER and the PM is coupled to lipid scrambling within the PM. They raise the possibility that defective cell surface exposure of PtdSer may be responsible for neurodegeneration.

cell biology↗

Molecular Control of Circuit Plasticity and the Permanence of Imprinted Odor Memory

Behavioral imprinting is a distinct form of learning that has a lifelong impact on social interactions and affectional behaviors1-4. Unlike other forms of memory, imprinting does not require conspicuous association of stimuli; exposure per se appears sufficient to induce memories that neither undergo extinction nor are altered by experience later in life. The site of storage of imprinted memory and the mechanisms that control its formation and permanence are unknown. Here we uncover a molecular mechanism that controls olfactory imprinting, which underlies behaviors including kin and nest recognition, maternal attachment, and homing5-10. We show that odor exposure during the perinatal period converts an innately aversive odor into a homing signal. The behavioral change is associated with odor-induced changes in the projection patterns of olfactory sensory neuron (OSN) expressing the cognate receptors for the exposed odor. We show that the Wnt signaling receptor Frizzled1 (Fzd1) acts as a master regulator of the critical period of OSN development and is responsible for closing the critical period to prevent further changes in the neural circuit. In Fzd1 knockout mice axon projection patterns are continually modified by sensory experience. As Fzd1 knockout abolishes the developmental critical period, it also abolishes odor imprinting. Specific knockout of Fzd1 in the OSNs have the same effect. Mechanistically, Fzd1 controls the critical period through an autoregulated shutdown and by controlling an activity-driven regulon in the OSNs. The transient expression and the subsequent downregulation of Fzd1 leads to the irreversible closure of the critical period to lock in circuits established during the critical period. The evidence suggests that imprinted odor memory is stored in the patterns of connectivity at the first synapse in the olfactory bulb. Early odor experience induces changes in the OSN projection to alter connectivity with innate circuits to establish a life-long memory.

neuroscience↗

PPML-Omics: a Privacy-Preserving federated Machine Learning system protects patients' privacy from omic data

Modern machine learning models towards various tasks with omic data analysis give rise to threats of privacy leakage of patients involved in those datasets. Despite the advances in different privacy technologies, existing methods tend to introduce too much computational cost (e.g. cryptographic methods) or noise (e.g. differential privacy), which hampers either model usefulness or accuracy in protecting privacy in biological data. Here, we proposed a secure and privacy-preserving machine learning method (PPML-Omics) by designing a decentralized version of the differential private federated learning algorithm. We applied PPML-Omics to analyze data from three sequencing technologies, and addressed the privacy concern in three major tasks of omic data, namely cancer classification with bulk RNA-seq, clustering with single-cell RNA-seq, and the integration of spatial gene expression and tumour morphology with spatial transcriptomics, under three representative deep learning models. We also examined privacy breaches in depth through privacy attack experiments and demonstrated that PPML-Omics could protect patients privacy. In each of these applications, PPML-Omics was able to outperform methods of comparison under the same level of privacy guarantee, demonstrating the versatility of the method in simultaneously balancing the privacy-preserving capability and utility in practical omic data analysis. Furthermore, we gave the theoretical proof of the privacy-preserving capability of PPML-Omics, suggesting the first mathematically guaranteed method with robust and generalizable empirical performance in protecting patients privacy in omic data.

bioinformatics↗

Volatile hydrogen cyanide released by Pseudomonas aeruginosa provides a competitive advantage over Staphylococcus aureus in biofilm and in vivo lung environments

Diverse bacterial volatile compounds alter bacterial stress responses and physiology, but their contribution to population dynamics in polymicrobial communities is not well known. In this study, we showed that airborne volatile hydrogen cyanide (HCN) produced by a wide range of Pseudomonas aeruginosa clinical strains leads to at-a-distance inhibition of the growth of a wide array of Staphylococcus aureus strains. We determined that low oxygen level environments not only enhance P. aeruginosa HCN production but also increase S. aureus sensitivity to HCN, which impacts P. aeruginosa-S. aureus competition in microaerobic in vitro mixed biofilms as well as in an in vitro cystic fibrosis lung sputum medium. Consistently, we demonstrated that production of HCN provides a competitive advantage to P. aeruginosa in a mouse model of airways co-infected by P. aeruginosa and S. aureus. Our study therefore demonstrates that P. aeruginosa HCN contributes to local and distant airborne competition against S. aureus and potentially other HCN-sensitive bacteria in contexts relevant to cystic fibrosis and other polymicrobial infectious diseases. IMPORTANCEAirborne volatile compounds produced by bacteria are often only considered as attractive or repulsive scents, but they also directly contribute to bacterial physiology. Here we showed that volatile hydrogen cyanide (HCN) released by a wide range of Pseudomonas aeruginosa clinical strains inhibits Staphylococcus aureus growth in low oxygen in vitro biofilms or aggregates and in vivo lung environments. These results are of pathophysiological relevance, since lungs of cystic fibrosis patients are known to present microaerophilic areas and to be commonly associated with the presence of S. aureus and P. aeruginosa in polymicrobial communities. Our study therefore provides insights into how a bacterial volatile compound can contribute to the exclusion of S. aureus and other HCN-sensitive competitors from P. aeruginosa ecological niches. It opens new perspectives for the management or monitoring of P. aeruginosa infections in lower lung airway infections and other polymicrobial disease contexts.

microbiology↗

Single cell Transcriptome and T cell Repertoire Mapping of the Mechanistic Signatures and T cell Trajectories Contributing to Vascular and Dermal Manifestations of Behcet Disease

Behcets disease (BD) is a form of vasculitis characterized by complex multi-organ manifestations that may frequently recur and induce major tissue damage. Although genetic association studies have identified a number of risk factors, the etiology of BD and its tissue manifestations remains unknown, and the landscape of immune responses in BD is opaque, particularly in terms of inflammatory recurrence. In this study, we mapped the transcriptomes of the immune cell compartment in BD at single-cell resolution, sampling both circulation and affected skin in order to chart the immune interplay driving pathogenesis. Through comprehensive expression and communication analysis of the twenty major cell types identified, we observe striking mechanistic differences in immune response between BD skin lesions and peripheral circulation involving TNF signaling and T cell migration. Through integrated TCR sequencing, we further discover a pattern of clonal sharing between circulating and skin CD8+T cell populations along a trajectory defined by the acquisition of tissue-residential properties. In addition, we also identify a population of expanded CD4+ Tregs with the propensity to produce IL-32. Instead of suppressing effector T cell proliferation and function, IL-32 triggers increased expression of CD97, and may thus encourage prolonged local T cell activity in the skin. Collectively, our data serve to advance understandings of contributions of varying immune cell types to BD pathogenesis in the vasculature and skin, as well as the lifecycle patterns of T cells clones in this context. These data may also assist in further investigations of the mechanisms contributing to Treg dysfunction in systemic autoimmunity, while generating a conceptual model of T cell function contributing to BD recurrence.

immunology↗

Cannabinoids regulate an insula circuit controlling water intake

The insular cortex, or insula, is a large brain region involved in the detection of thirst and the control of water intake. However our understanding of the topographical, circuit and molecular mechanisms the controlling water intake within the insula remains parcellated. We found that type-1 cannabinoid receptors (CB1) within the insular cortex participate to the regulation of water intake, and deconstructed circuit mechanisms of this control. Topographically, we revealed that the activity of excitatory neurons in both anterior (aIC) and posterior (pIC) insula increases in response to water intake, yet removal of CB1 receptors only in the pIC decreases water intake. Interestingly, we found that CB1 receptors are highly expressed in insula projections to the basolateral amygdala (BLA), while undetectable in the neighboring central part of the amygdala. Thus, we imaged the neurons of the anterior or posterior insula targeting the BLA (aIC-BLA and pIC-BLA), and found they oppositely respond to water intake, respectively decreasing and increasing their activity upon water drinking. Consistently, chemogenetic activation of pIC-BLA neurons decreased water intake. Finally, we uncovered CB1-dependent short term synaptic plasticity (depolarization-induced suppression of excitation, DSE) selectively in pIC-BLA, compared to aIC-BLA synapses. Altogether, our results support a model where CB1 signaling in the pIC-BLA pathway exerts a positive control on water intake.

neuroscience↗

Multifaceted Atlases of the Human Brain in its Infancy

Brain atlases agglomerate structural and functional features of a population of individuals in a standard coordinate space. Here, we introduce for the first time a collection of atlases that charts postnatal development of the human brain in a spatio-temporally dense manner from two weeks to two years of age. Atlases capturing month-to-month changes of the human brain are essentially nonexistent for the first two years of life -- the critical developmental period during which the brain is evolving in virtually all facets at an exponential pace. This unmet need is compounded by the lack of atlases that provide a unified and holistic picture of the brain from both the perspectives of cortical surface convolutions and tissue volumetric characteristics. Existing surface and volumetric atlases are typically constructed independently in different coordinate spaces, causing discrepancies and complications in multifaceted analyses. Our month-specific conjoint surface and volumetric atlases chart normative patterns and capture key traits of early brain development and are therefore critical for identifying aberrations from normal developmental trajectories. Our atlases represent a major advance toward providing the neuroscience community an invaluable resource to facilitate the understanding of early structural and functional development by mapping multiple measurements of infant brains in a common reference frame for precise spatio-temporal quantification of cortical and subcortical changes.

neuroscience↗

Hyperuricemia triggers Renal Tubular Epithelial Pyroptosis by using ROS to activate the NLRP3 inflammasome

Renal injury resulting from hyperuricemia has gained a lot of interest. Pyroptosis refers to inflammatory cell death. The activated caspase-1 cleavage, and the pivotal protein - GSDMD could have an association with the hyperuricemic kidney lesion pathogenesis. ROS is a vital NLRP3 inflammasome antagonist in various cells. We investigated the mechanism through which ROS stimulates NLRP3 to modulate pyroptosis in renal tubular epithelial cells as well as hyperuricemic rat kidneys. MethodsIn vitro cultured renal tubular epithelial cells (NRK-52E cells) were incubated with a gradient concentration of uric acid for 24 hr to investigate the pyroptosis through flow cytometry. Next, we used the inhibitors of ROS, mitochondrial ROS, NLRP3 and Caspase-1 respectively to intervene in uric acid treated cells to analyse pyproptosis and activation of ROS- NLRP3 inflammasome signal pathway. Finally, we evaluated the mechanism of hyperuricemia triggering renal tubular epithelial pyroptosis in rat kidney tissues. ResultsThe levels of ROS and mitochondrial ROS, the mRNA and protein expression of pyroptosis-associated factors Caspase-1 (p45, p20/10), NLRP3, and GSDMD were upregulated in uric acid, the induced NRK-52E cells as well as hyperuricemic model kidneys. The inhibition of ROS, mitochondrial ROS, NLRP3, or caspase-1 in the uric acid-induced NRK-52E cells may help in controlling pyroptosis. The expression of mRNA and protein by the cytokines IL-18 and IL-1{beta} also increased. ConclusionsGenerally, hyperuricemia triggered renal tubular epithelial pyroptosis via excessive ROS to modulate NLRP3 inflammasome activation in uric acid stimulated renal tubular epithelial cells as well as the oxonic acid potassium induced hyperuricemia.

pathology↗

Adipocyte-specific ablation of the Ca2+ pump SERCA2 impairs whole-body metabolic function and reveals the diverse metabolic flexibility of white and brown adipose tissue.

ObjectiveSarco/endoplasmic reticulum Ca2+-ATPase (SERCA) transports Ca2+ from the cytosol into the ER and is essential for appropriate regulation of intracellular Ca2+ homeostasis. The objective of this study was to test the hypothesis that SERCA pumps are involved in the regulation of white adipocyte hormone secretion and other aspects of adipose tissue function and that this control is disturbed in obesity-induced type-2 diabetes. MethodsSERCA expression was measured in isolated human and mouse adipocytes as well as in whole mouse adipose tissue by Western blot and RT-qPCR. To test the significance of SERCA2 in adipocyte functionality and whole-body metabolism, we generated adipocyte-specific SERCA2 knockout mice. The mice were metabolically phenotyped by glucose tolerance and tracer studies, histological analyses, measurements of glucose- stimulated insulin release in isolated islets, and gene/protein expression analyses. We also tested the effect of pharmacological SERCA inhibition and genetic SERCA2 ablation in cultured adipocytes. Intracellular and mitochondrial Ca2+ levels were recorded with dual-wavelength ratio imaging and mitochondrial function was assessed by Seahorse technology. ResultsWe demonstrate that SERCA2 is downregulated in white adipocytes from patients with obesity and type-2 diabetes as well as in adipocytes from diet-induced obese mice. SERCA2-ablated adipocytes display disturbed Ca2+ homeostasis associated with upregulated ER stress markers and impaired hormone release. These adipocyte alterations are linked to mild lipodystrophy, reduced adiponectin levels, and impaired glucose tolerance. Interestingly, adipocyte-specific SERCA2 ablation leads to increased glucose uptake in white adipose tissue while glucose uptake is reduced in brown adipose tissue. This dichotomous effect on glucose uptake is due to differently regulated mitochondrial function. In white adipocytes, SERCA2 deficiency triggers an adaptive increase in Fgf21, increased mitochondrial UCP1 levels, and increased oxygen consumption rate (OCR). In contrast, brown SERCA2 null adipocytes display reduced OCR despite increased mitochondrial content and UCP1 levels compared to wild type controls. ConclusionsOur data suggest causal links between reduced white adipocyte SERCA2 levels, deranged adipocyte Ca2+ homeostasis, adipose tissue dysfunction and type-2 diabetes. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/483886v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@ce9737org.highwire.dtl.DTLVardef@129abaeorg.highwire.dtl.DTLVardef@c63342org.highwire.dtl.DTLVardef@4f47fe_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIAdipocyte SERCA2 is downregulated in human subjects with type-2 diabetes C_LIO_LILoss of SERCA2 disturbs the intracellular Ca2+ homeostasis in adipocytes C_LIO_LIImpaired metabolism and altered adipokine levels in adipocyte-SERCA2 null mice C_LIO_LILoss of SERCA2 accelerates metabolic processes in white adipocytes C_LIO_LILoss of SERCA2 impairs the mitochondrial function of brown adipocytes C_LI

physiology↗

In situ architecture of the lipid transport protein VPS13C at ER-lysosomes membrane contacts

VPS13 is a eukaryotic lipid transport protein localized at membrane contact sites. Previous studies suggested that it may transfer lipids between adjacent bilayers by a bridge-like mechanism. Direct evidence for this hypothesis from a full-length structure and from EM studies in situ, however, is still missing. Here we have capitalized on AlphaFold predictions to complement the structural information already available about VPS13 and to generate a full-length model of human VPS13C, the Parkinsons disease-linked VPS13 paralog localized at contacts between the ER and endo/lysosomes. Such model predicts a ~30-nm rod with a hydrophobic groove that extends throughout its length. We further investigated whether such a structure can be observed in situ at ER-endo/lysosome contacts. To this aim, we combined genetic approaches with cryo-focused-ion-beam (cryo-FIB) milling and cryo-electron tomography (cryo-ET) to examine HeLa cells overexpressing this protein (either full length or with an internal truncation) along with VAP, its anchoring binding partner at the ER. Using these methods we identified rod-like densities that span the space separating the two adjacent membranes and that match the predicted structures of either full length VPS13C or its shorter truncated mutant, thus providing the first in-situ evidence for a bridge-model of VPS13 in lipid transport. Intriguingly, the majority of the VPS13C rods were separated from the ER membranes by a narrow gap, suggesting that while VAP anchors the protein to the ER, direct contact of the VPS13C rod with the ER bilayer to allow lipid transport may be independently regulated.

cell biology↗

Hetero-bivalent Nanobodies Provide Broad-spectrum Protection against SARS-CoV-2 Variants of Concern including Omicron

Following Delta, Omicron variant triggered a new wave of SARS-CoV-2 infection globally, adaptive evolution of the virus may not stop, the development of broad-spectrum antivirals is still urgent. We previously developed two hetero-bivalent nanobodies with potent neutralization against original WT SARS-CoV-2, termed aRBD-2-5 and aRBD-2-7, by fusing aRBD-2 with aRBD-5 or aRBD-7, respectively. Here, we resolved crystal structures of these nanobodies in complex with RBD, and found the epitope of aRBD-2 differs from that of aRBD-5, aRBD-7. aRBD-2 binds to a conserved epitope which renders its binding activity to all variants of concern (VOCs) including Omicron. Interestingly, although monovalent aRBD-5 and aRBD-7 lost binding to some variants, they effectively improved the overall affinity when transformed into the hetero-bivalent form after being fused with aRBD-2. Consistent with the high binding affinities, aRBD-2-5-Fc and aRBD-2-7-Fc exhibited ultra-potent neutralization to all five VOCs; particularly, aRBD-2-5-Fc neutralized authentic virus of Beta, Delta and Omicron with the IC50of 5.98[~]9.65 ng/mL or 54.3[~]87.6 pM. Importantly, aRBD-2-5-Fc provided in vivo prophylactic protection for mice against WT and mouse-adapted SARS-CoV-2, and provided full protection against Omicron in hamster model when administrated either prophylactically or therapeutically. Taken together, we found a conserved epitope on RBD, and hetero-bivalent nanobodies had increased affinity for VOCs over its monovalent form, and provided potent and broad-spectrum protection both in vitro and in vivo against all tested major variants, and potentially future emerging variants. Our strategy provides a new solution in the development of therapeutic antibodies for COVID-19 caused by newly emergent VOCs.

immunology↗

Incorporating the image formation process into deep learning improves network performance in deconvolution applications

We present Richardson-Lucy Network (RLN), a fast and lightweight deep learning method for 3D fluorescence microscopy deconvolution. RLN combines the traditional Richardson-Lucy iteration with a fully convolutional network structure, improving network interpretability and robustness. Containing only [~]16 thousand parameters, RLN enables 4- to 50-fold faster processing than purely data-driven networks with many more parameters. By visual and quantitative analysis, we show that RLN provides better deconvolution, better generalizability, and fewer artifacts than other networks, especially along the axial dimension. RLN outperforms Richardson-Lucy deconvolution on volumes contaminated with severe out of focus fluorescence or noise and provides 4- to 6-fold faster reconstructions of large, cleared tissue datasets than classic multi-view pipelines. We demonstrate RLNs performance on cells, tissues, and embryos imaged with widefield-, light sheet-, and structured illumination microscopy.

biophysics↗

Fertilizer reduction with bio-organic fertilizer to regulate the root soil microbial community structure to improve Baby Chinese cabbage yield

Using high-throughput sequencing, this study aimed to explore the response of soil microbial community and Baby Chinese cabbage yield to the reduction of chemical fertilizers combined with bio-organic fertilizer in the Gansu plateau, China. Our experiments consisted of conventional fertilizer (CK), 30% chemical fertilizer reduction + 6,000 kg bio-organic fertilizer (T1), 30% chemical fertilizer reduction + 9,000 kg bio-organic fertilizer (T2), 40% chemical fertilizer reduction + 6,000 kg bio-organic fertilizer (T3), and 40% chemical fertilizer reduction + 9,000 kg bio-organic fertilizer (T4). Compared with CK, soil microbial diversity and richness were higher for all treatments with added bio-organic fertilizer. PCoA showed that the bacterial and fungal communities in T2 and T4 were similar to each other. Redundancy and Spearmans correlation analyses of microbial communities and soil physicochemical properties revealed that reductions in chemical fertilizer rate combined with bio-organic fertilizer had a stronger impact on the fungal than the bacterial community. They also increased the relative abundance of the dominant bacterial and fungal phyla. Baby Chinese cabbage yield was relatively higher under the combined bio-organic fertilizer plus reduced chemical fertilizer rate with T2 showing the highest yield. Therefore, this approach is feasible for sustainable agricultural, cost-effective and profitable crop production. ImportanceO_LIBio-organic + moderately reduced chemical fertilizer raised Chinese cabbage yield C_LIO_LIBio-organic + chemical fertilizer was more efficacious than either one alone C_LIO_LIPresence of bio-organic fertilizer enhanced overall rhizosphere physicochemistry C_LIO_LIBio-organic fertilizer improved beneficial bacterial & fungal abundance & diversity C_LIO_LIFertilizer combination sustainably & cost-effectively improves crop & soil quality C_LI

microbiology↗