Biology subjects

Zhu, L.

Publications and source records attributed to Zhu, L..

At least 235 records · Page 13Linked to original sources

bioRxiv2022

Separation of phosphatase and kinase activity within the Bub complex is required for proper mitosis

The Bub1 and BubR1 kinetochore proteins support proper chromosome segregation and mitotic checkpoint activity. Bub1 and BubR1 are paralogues with Bub1 being a kinase while BubR1 localizes the PP2A-B56 protein phosphatase to kinetochores in humans. Whether this separation of kinase and phosphatase activity is important is unclear as some organisms integrate both activities into one Bub protein. Here we engineer human Bub1 and BubR1 proteins integrating kinase and phosphatase activities into one protein and show that these do not support normal mitotic progression. A Bub1-PP2A-B56 complex can supports chromosome alignment but results in impairment of the checkpoint due to dephosphorylation of the Mad1 binding site in Bub1. Furthermore, a chimeric BubR1 protein containing the Bub1 kinase domain induces delocalized H2ApT120 phosphorylation resulting in reduction of centromeric hSgo2 and chromosome segregation errors. Collectively, these results argue that the separation of kinase and phosphatase activities within the Bub complex is required for balancing its functions in the checkpoint and chromosome alignment.

cell biology↗

bioRxiv2022

Weighted Kernels Improve Multi-Environment Genomic Prediction

Crucial to variety improvement programs is the reliable and accurate prediction of genotypes performance across environments. However, due to the impactful presence of genotype by environment (GxE) interaction that dictates how changes in expression and function of genes influence target traits, prediction performance of genomic selection (GS) using single-environment models often falls short. Furthermore, despite the successes of genome-wide association studies (GWAS), the genetic insights derived from genome-to-phenome mapping have not yet been incorporated in predictive analytics, making GS models that use Gaussian kernel primarily an estimator of genomic similarity, instead of the underlying genetics characteristics of the populations. Here, we developed a GS framework that, in addition to capturing the overall genomic relationship, can capitalize on the signal of genetic associations of the phenotypic variation as well as the genetic characteristics of the populations. The capacity of predicting the performance of populations across environments was demonstrated by an overall gain in predictability up to 31% for the winter wheat DH population. Compared to Gaussian kernels, we showed that our multienvironment weighted kernels could better leverage the significance of genetic associations and yielded a marked improvement of 4-33% in prediction accuracy for half-sib families. Furthermore, the flexibility incorporated in our Bayesian implementation provides the generalizable capacity required for predicting multiple highly genetic heterogeneous populations across environments, allowing reliable GS for genetic improvement programs that have no access to genetically uniform material.

bioinformatics↗

bioRxiv2022

High-resolution Ribosome Profiling Reveals Translational Selectivity for Transcripts in Bovine Preimplantation Embryo Development

High resolution ribosome fractionation and low-input ribosome profiling of bovine oocytes and preimplantation embryos has enabled us to define the translational landscapes of early embryo development at an unprecedented level. We analyzed the transcriptome, polysome- and non-polysome-bound RNA profiles of bovine oocytes (GV and MII stage) and early embryos at 2-, 8-cell, morula, and blastocyst stage, and revealed four modes of translational selectivity: i. selective translation of non-abundant mRNAs, ii. active, but modest translation of a selection of highly expressed mRNAs, iii. translationally suppressed abundant to moderately abundant mRNAs, and iv. mRNAs associated specifically with monosomes. A strong translational selection of low abundance mRNAs encoding protein components involved in metabolic pathways and lysosome was found throughout bovine oocyte and preimplantation development. In particular, genes encoding components involved in mitochondrial function were prioritized for translation. Notably, transcripts encoding proteins regulating chromatin modifications selectively translated in oocytes. We found that the translational dynamics largely reflects transcriptional profiles in oocytes and 2-cell embryos, but observed marked shift in translational control in 8-cell embryos associated with the main phase of embryonic genome activation. Subsequently, transcription and translation become better synchronized in morulae and blastocysts. Together, these data reveal a unique spatiotemporal translational regulation that accompanies bovine preimplantation development. Significance StatementTranslational control during preimplantation embryo development is poorly understood, mostly due to the scarcity of samples and the corresponding inability to analyze low quantities of these materials. By developing a low-input method, we have been able to explore the transcriptome, polysome- and non-polysome-bound RNA profiles of bovine oocytes (GV and MII stage) and preimplantation embryos at 2-, 8-cell, morula, and blastocyst stages. We reveal four different modes of translational selectivity, plus novel temporal regulatory mechanisms during early embryo development. The spatiotemporal translation dynamics of bovine oocytes and preimplantation embryos offer an entirely new insight into mammalian embryo development research and new possibilities for improving efficiency of assisted reproduction technologies (ARTs).

developmental biology↗

bioRxiv2022

Structure and influence in an interconnected world: neurocomputational mechanism of real-time distributed learning on social networks

Many social species are embedded on social networks, including our own. The structure of social networks shapes our decisions by constraining what information we learn and from whom. But how does the brain incorporate social network structures into learning and decision-making processes, and how does learning in networked environments differ from learning from isolated partners? Combining a real-time distributed learning task with computational modeling, fMRI, and social network analysis, we investigated the process by which humans learn from observing others decisions on 7-node networks with varying topological structures. We show that learning on social networks can be realized by means similar to the well-established reinforcement learning algorithm, supported by an action prediction error encoded in the lateral prefrontal cortex. Importantly, learning is flexibly weighted toward well-connected neighbors, according to activity in the dorsal anterior cingulate cortex, but only insofar as neighbors actions vary in their informativeness. These data suggest a neurocomputational mechanism of network-dependent filtering on the sources of information, which may give rise to biased learning and the spread of misinformation in an interconnected society.

neuroscience↗

bioRxiv2022

Medial prefrontal cortex Notch1 signalling mediates methamphetamine-induced psychosis via Hes1-dependent suppression of GABAB1 receptor expression.

Methamphetamine (METH), a widely abused stimulant drug, induces psychosis in approximately half of abusers; this effect is becoming a major concern for society. Although the Notch1 signalling pathway has been shown to play a part in the pathogenesis of some psychiatric disorders, its role in METH-induced psychosis (MIP) is still unknown. Here, we showed that Notch1 signalling was downregulated in the medial prefrontal cortex (mPFC) in a MIP mouse model. Direct genetic and pharmacological manipulations of Notch1 signalling bidirectionally altered MIP-related behaviours and governed neuronal activity in the mPFC. Moreover, Notch1 signalling negatively regulated GABAB1 receptor expression in the mPFC of MIP mice through Hes1, a transcriptional repressor in Notch1 signalling. Further, we show that Hes1 can directly bind to the GABAB1 receptor promoter. Notably, pharmacological regulation of the GABAB receptor in the mPFC reversed the changes in MIP-related behaviours caused by the dysfunction of Notch1 signalling. Together, our findings uncover a previously unrecognised Notch1-Hes1-GABAB1 receptor-dependent mechanism involved in regulating mPFC neuronal activity and behavioural phenotypes in MIP. Our work provides mechanistic insight into the aetiology and pathophysiology of MIP.

molecular biology↗

bioRxiv2022

Cerebral organoids for modeling of HSV-1-induced-multiscale neuropathology associated with Alzheimers disease and phenotypic rescue

Herpes simplex virus type I (HSV-1) infection is a potential risk factor involved in the pathogenesis of Alzheimers disease (AD) and contributes to the AD viral hypothesis. However, further understanding of the neuropathological effects of the HSV-1 infection is hampered by the limitations of existing infection models due to the distinct differences between human brains and other mammalians brains. Here we generated cerebral organoid models derived from pluripotent stem cells to investigate the HSV-induced pathogenesis associated with AD and the role of antiviral drugs in the phenotypic rescue. Our results identified that the HSV-1-infected cerebral organoids recapitulated multiscale neuropathology pertaining to the onset and progression of AD across the genetic, cellular, and tissue levels, including the multicellular A{beta} deposition, dysregulated endogenous AD mediators, reactive gliosis, neuroinflammation, and neural loss. Furthermore, we identified that two antiviral drugs, namely Ribavirin (RBV) and Valacyclovir (VCV), inhibited HSV-1 replication and rescued the neuropathological phenotypes associated with AD in the HSV-1-infected cerebral organoids, implying their therapeutic potential to slow down the progression of AD. Our study provides a high-fidelity human-relevant in-vitro HSV-1 infection model to reconstitute the multiscale neuropathological features associated with AD and discover therapeutic drug candidates relevant to the AD viral hypothesis. IMPORTANCEAD is a progressive neurodegenerative disorder characterized by neuronal death, brain atrophy, and cognitive impairment. HSV-1 is a neurotropic double-stranded DNA virus resulting in long-term neurological sequelae in adults. There is accumulating evidence indicating that AD may be associated with HSV-1 infections. In this study, we generated human-physiologically related cerebral organoids derived from human embryonic stem cells (hESCs) to investigate the influence of HSV-1 infection on the neuropathology associated with AD. We found that the HSV-1-infected cerebral organoids could model typical neuropathological features associated with AD. Additionally, we discovered that both RBV and VCV significantly rescued the HSV-1-induced pathological phenotypes associated with AD. These findings may open new avenues of consideration related to HSV-1 infection and AD. Furthermore, the contribution of these antiviral drugs to AD linked to HSV-1 infection will provide new clues to potential new therapies.

neuroscience↗

bioRxiv2022

Developmental emergence of sleep rhythms enables long-term memory capabilities in Drosophila

In adulthood, sleep-wake rhythms are one of the most prominent behaviors under circadian control. However, during early life, sleep is spread across the 24-hour day (1-4). The mechanism through which sleep rhythms emerge, and the consequent advantage conferred to a juvenile animal, are unknown. In 2nd instar Drosophila larvae (L2), like human infants, sleep is not under circadian control (5). Here, we identify the precise developmental timepoint when the circadian clock begins to regulate sleep in Drosophila, leading to the emergence of sleep rhythms at the early 3rd instar stage (L3). At this stage, a cellular connection forms between DN1a clock neurons and arousalpromoting Dh44 neurons, bringing arousal under clock control to drive the emergence of circadian sleep. Finally, we demonstrate that L3 but not L2 larvae exhibit long-term memory (LTM) of an aversive cue, and that this LTM depends upon deep sleep generated once sleep rhythms begin. We propose that the developmental emergence of circadian sleep enables more complex cognitive processes, including the onset of enduring memories.

neuroscience↗

bioRxiv2022

Structural Insights into Sphingosine-1-phosphate Receptor Activation

As a critical sphingolipid metabolite, sphingosine-1-phosphate (S1P) plays an essential role in immune and vascular systems. There are five S1P receptors, designated as S1PR1-5, encoded in the human genome, and their activities are governed by endogenous S1P, lipid-like S1P mimics, or non-lipid-like therapeutic molecules. Among S1PRs, S1PR1 stands out due to its non-redundant functions, such as the egress of T and B cells from the thymus and secondary lymphoid tissues, making it a potential therapeutic target. However, the structural basis of S1PR1 activation and regulation by various agonists remains unclear. Here we reported four atomic resolution cryo-EM structures of Gi-coupled human S1PR1 complexes: bound to endogenous agonist d18:1 S1P, benchmark lipid-like S1P mimic phosphorylated Fingolimod ((S)-FTY720-P), or non-lipid-like therapeutic molecule CBP-307 in two binding modes. Our results revealed the similarities and differences of activation of S1PR1 through distinct ligands binding to the amphiphilic orthosteric pocket. We also proposed a two-step "shallow to deep" transition process of CBP-307 for S1PR1 activation. Both binding modes of CBP-307 could activate S1PR1, but from shallow to deep transition may trigger the rotation of the N-terminal helix of Gi and further stabilize the complex by increasing the Gi interaction with the cell membrane. We combine with extensive biochemical analysis and molecular dynamic simulations to suggest key steps of S1P binding and receptor activation. The above results decipher the common feature of the S1PR1 agonist recognition and activation mechanism and will firmly promote the development of therapeutics targeting S1P receptors.

biochemistry↗

bioRxiv2022

Microscopic and ultramicroscopic anatomical characteristics of root nodules in Podocarpus macrophyllus during development

To understand the morphological and structural characteristics of root nodules in Podocarpus macrophyllus and their development, this study prepared P. macrophyllus root nodule samples at the young, mature, and senescent stages. Optical microscopy and transmission electron microscopy (SEM) revealed that new nodules can be formed on roots and senescent nodules; new nodules formed on the roots are nearly spherical and have an internal structure similar to finite nodules; new nodules on senescent nodules are formed by extension and differentiation of the vascular cylinder of the original nodules; and these new nodules are nested at the base of the original nodules, which create growth space for new nodules by dissociating the cortical tissue; clusters of nodules are formed after extensive accumulation, and the growth pattern is similar to that of infinite nodules; the symbiotic bacteria of P. macrophyllus root nodules mainly invade from the epidermal intercellular space of the roots and migrate along the intercellular space of the nodule cortex; infected nodule cortex cells have a well-developed inner membrane system and enlarged and loose nuclei; and unique Frankia vesicles, and rhizobia cysts, and bacteriophages can all develop. Compared with common leguminous and nonleguminous plant nodules, P. macrophyllus root nodules are more complex in morphology, structure and composition. From the perspective of plant system evolution, the rhizobium nodules in leguminous angiosperms and Frankia nodules in nonleguminous angiosperms are most likely two branches derived from the nodules in gymnosperms, such as P. macrophyllus. The conclusions of this study can provide a theoretical basis for the developmental biology of P. macrophyllus root nodules and the evolutionary pattern of plant symbionts. HighlightsWe discuss from the perspective of cell developmental biology, the rhizobium nodules in leguminous angiosperms and Frankia nodules in nonleguminous angiosperms are most likely two branches derived from the nodules in gymnosperms, such as Podocarpus macrophyllus.

developmental biology↗

bioRxiv2021

Self-confocal NIR-II fluorescence microscopy for in vivo imaging

Benefiting from low scatter of NIR-II light in biological tissues and high spatial resolution of confocal microscopy, NIR-II fluorescence confocal microscopy has been developed recently and achieve deep imaging in vivo. However, independence of excitation point and detection point makes this system difficult to be adjusted. New, improved, self-confocal NIR-II fluorescence confocal systems are created in this work. Based on a shared pinhole for excitation light and fluorescence, the system is easy and controlled to be adjusted. The fiber-pinhole confocal system is constructed for cerebrovascular and hepatocellular NIR-II fluorescence intensity imaging. The air-pinhole confocal system is constructed for cerebrovascular NIR-II fluorescence intensity imaging, hepatic NIR-II fluorescence lifetime imaging, and hepatic multiphoton imaging.

bioengineering↗

bioRxiv2021

Ultra-deep through-skull mouse brain imaging via the union of skull optical clearing and three-photon microscopy

Optical microscopy has enabled in vivo monitoring of brain structures and functions with high spatial resolution. However, the strong optical scattering in turbid brain tissue and skull impedes the observation of microvasculature and neuronal structures at a large depth. Herein, we proposed a strategy to overcome the influence induced by the high scattering effect of both skull and brain tissue via the combination of skull optical clearing (SOC) technique and thee-photon fluorescence microscopy (3PM). The Visible-NIR-II compatible Skull Optical Clearing Agents (VNSOCA) we applied reduced the skull scattering and water absorption in long wavelength by refractive index matching and H2O replacement to D2O respectively. 3PM with the excitation in the 1300-nm window reached 1.5 mm cerebrovascular imaging depth in cranial window. Combining the two advanced technologies together, we achieved so far the largest cerebrovascular imaging depth of 1.0 mm and neuronal imaging depth of >700 m through intact mouse skull. Dual-channel through-skull imaging of both brain vessels and neurons was also successfully realized, giving an opportunity of non-invasively monitoring the deep brain structures and functions at single-cell level simultaneously.

neuroscience↗

bioRxiv2021

Islet primary cilia motility controls insulin secretion

Primary cilia are specialized cell-surface organelles that mediate sensory perception and, in contrast to motile cilia and flagella, are thought to lack motility function. Here we show that primary cilia in pancreatic beta cells exhibit movement that is required for glucose-dependent insulin secretion. Beta cell cilia contain motor proteins conserved from those found in classic motile cilia, and their 3D motion is dynein-driven and dependent on ATP and glucose metabolism. Inhibition of cilia motion blocks beta cell calcium influx and insulin secretion. Beta cells from humans with type 2 diabetes have altered expression of cilia motility genes. Our findings redefine primary cilia as dynamic structures possessing both sensory and motile function and establish that pancreatic beta cell cilia movement plays a critical role in controlling insulin secretion.

cell biology↗

bioRxiv2021

Imaging microvasculature network evolution and neurodegeneration with precise photothrombosis approach

In the cerebral cortex, the vasculature plays important homeostatic functions, especially at the highly connected complex capillary networks. The association of focal capillary ischemia with the neurodegenerative disease as well as the laminar vascular dynamics have prompted studies of vascular micro-occlusion via photothrombosis. However, technical challenges of this approach remain, including increased temporal precision of occlusion, increasing the depth of vascular occlusion, understanding how such micro-occlusion impacts local blood flow, and ultimately the neuronal effects of such changes. Here, we have developed a novel approach that employs ultra-fast multiphoton light to induce focal Rose Bengal-induced photothrombosis. We demonstrated induction of highly precise and fast occlusion of microvessels at various types and depths. The change of the microvascular architecture and hemodynamics after occlusion revealed the autoregulation and significant difference between upstream vs downstream in layer 2/3. Further, we found that micro-occlusion at two different layers within the same vascular arbor results in distinct effects on the acute flow redistribution mechanism. To examine neuronal effects of such micro-occlusion, we produced infarct of capillaries surrounding a labeled target neuron and found this induces dramatic and rapid lamina-specific degeneration in neuronal dendritic architecture. In sum, our technique enhanced the precision and power of the photothrombotic study of microvascular function. The current results pointed to the importance of laminar scale regulation within the microvascular network, a finding which may be relevant for models of neurovascular disease.

neuroscience↗

bioRxiv2021

Adaptor linked K63 di-Ubiquitin activates Nedd4/Rsp5 E3 ligase

Nedd4/Rsp5 family E3 ligases mediate numerous cellular processes, many of which require the E3 ligase to interact with PY-motif containing adaptor proteins. Several Arrestin-Related Trafficking adaptors(ARTs) of Rsp5 were self-ubiquitinated for activation, but the regulation mechanism remains elusive. Remarkably, we demonstrate that Art1, Art4, and Art5 undergo K63-linked di-ubiquitination by Rsp5. This modification enhances the PM recruitment of Rsp5 by Art1 or Art5 upon substrate induction, required for cargo protein ubiquitination. In agreement with these observations, we find that di-ubiquitin strengthens the interaction between the Pombe orthologs of Rsp5 and Art1, Pub1 and Any1. Further, we discover that the HECT domain exosite protects the K63-linked di-ubiquitin on the adaptors from cleavage by the deubiquitination enzyme Ubp2. Strikingly, loss of this protection results in the loss of K63-linked di-ubiquitin from the adaptors and diverts the adaptors for K48-linked poly-ubiquitination and proteasome-mediated degradation. Together, our study uncovers a novel ubiquitination modification implemented by Rsp5 adaptor proteins, underscoring the regulatory mechanism of how adaptor proteins control the recruitment and activity of Rsp5 for the turnover of membrane proteins.

cell biology↗

bioRxiv2021

CAMO: A molecular congruence analysis framework for evaluating model organisms

CAMO provides a rigorous and user-friendly solution for quantification and mechanistic exploration of omics congruence in model organisms and humans. It performs threshold-free differential analysis, quantitative concordance/discordance scoring, pathway-centric investigation, and topological subnetwork detection. Instead of dichotomous claims of "poorly" or "greatly" mimicking humans, CAMO facilitates discovery and visualization of specific molecular mechanisms that are best or least mimicked, providing foundations for hypothesis generation and subsequent translational investigations.

genomics↗

bioRxiv2021

Fast anther dehiscence state recognition system establishing by deep learning to screen heat tolerant cotton

Cotton is one of the most economically important crops in the world. The fertility of male reproductive organs is a key determinant of cotton yield. The anther dehiscence or indehiscence directly determine the probability of fertilization in cotton. Thus, the rapid and accurate identification of cotton anther dehiscence status is important for judging anther growth status and promoting genetic breeding research. The development of computer vision technology and the advent of big data have prompted the application of deep learning techniques to agricultural phenotype research. Therefore, two deep learning models (Faster R-CNN and YOLOv5) were proposed to detect the number and dehiscence status of anthers. The single-stage model based on YOLOv5 has higher recognition efficiency and the ability to deploy to the mobile end. Breeding researchers can apply this model to terminals to achieve a more intuitive understanding of cotton anther dehiscence status. Moreover, three improvement strategies of Faster R-CNN model were proposed, the improved model has higher detection accuracy than YOLOv5 model. In addition, the percentage of dehiscent anther of randomly selected 30 cotton varieties were observed from cotton population under normal temperature and high temperature (HT) conditions through the integrated Faster R-CNN model and manual observation. The result showed HT varying decreased the percentage of dehiscent anther in different cotton lines, consistent with the manual method. Thus, this system can help us to rapid and accurate identification of HT-tolerant cotton. One sentence summaryThe deep learning technique was applied to identify the anther dehiscence state for the first time to quickly screen heat tolerant cotton varieties and help to explore key genetic improvement genes.

bioengineering↗

bioRxiv2021

Construction of lux-based promoter-reporter platforms in Mycobacterium bovis BCG for screening of drug repurposing small-molecule compounds as new anti-tuberculosis drugs

The emergence of multidrug-resistant strains and hyper-virulent strains of Mycobacterium tuberculosis are big therapeutic challenges for tuberculosis (TB) control. Repurposing bioactive small-molecule compounds has recently become a new therapeutic approach against TB. This study aimed to construct a rapid screening system to identify novel anti-TB agents from a library of small-molecule compounds. In this study, a total of 320 small-molecule compounds were used to screen for their ability to suppress the expression of a key virulence gene, phoP, of M. tuberculosis complex using luminescence (lux)-based promoter-reporter platforms. The minimum inhibitory and bactericidal concentrations on drug-resistant M. tuberculosis and cytotoxicity to human macrophage were determined. RNA-sequencing (RNA-seq) was conducted to determine the drug mechanisms of the selected compounds as novel antibiotics or anti-virulent agents against the M. tuberculosis complex. Six compounds displayed bactericidal activity against M. bovis BCG, in which Ebselen demonstrated the lowest cytotoxicity to macrophage and was considered as a potential antibiotic for TB. Another ten compounds did not inhibit the in vitro growth of the M. tuberculosis complex but down-regulated the expression of phoP specifically. Of them, ST-193 and ST-193 (hydrochloride) showed low cytotoxicity and could dysregulate the entire phoP-associated gene network, and thus identified as potential anti-virulence agents for M. tuberculosis. This study provides a rapid screening platform coupled with a systematic validation and eventually suggested one potential antibiotic and two anti-virulence agents for M. tuberculosis infections.

microbiology↗

bioRxiv2021

Garlic-derived organosulfur compounds regulate metabolic and immune pathways in macrophages and attenuate intestinal inflammation in mice

ScopeGarlic is a source of bioactive phytonutrients that may have anti-inflammatory or immunomodulatory properties. The mechanism(s) underlying the bioactivity of these compounds and their ability to regulate responses to enteric infections remains unclear. Methods and ResultsWe investigated if a garlic-derived preparation (PTSO-PTS) containing two organosulfur metabolites, propyl-propane thiosulfonate (PTSO) and propyl-propane thiosulfinate (PTS), regulated inflammatory responses in murine macrophages and intestinal epithelial cells (IEC) in vitro, as well as in a model of enteric parasite-induced inflammation. PTSO-PTS decreased lipopolysaccharide-induced secretion of TNF, IL-6 and IL-27 in macrophages. RNA-sequencing demonstrated that PTSO-PTS strongly suppressed pathways related to immune and inflammatory signaling. PTSO-PTS induced the expression of a number of genes involved in antioxidant responses in IEC during exposure to antigens from the parasite Trichuris muris. In vivo, PTSO-PTS did not affect T. muris establishment or intestinal T-cell responses but significantly altered caecal transcriptomic responses. Notably, a reduction in T. muris-induced expression of Tnf, Saa2 and Nos2 was observed. ConclusionGarlic-derived organosulfur compounds exert anti-inflammatory effects in macrophages and IEC, and regulate gene expression during intestinal infection. These compounds and related organic molecules may thus hold potential as functional food components to improve gut health in humans and animals.

immunology↗