Biology subjects

Song, C.

Publications and source records attributed to Song, C..

At least 91 records · Page 5Linked to original sources

bioRxiv2024

Negative regulation of APC/C activation by MAPK-mediated attenuation of Cdc20Slp1 under stress

Mitotic anaphase onset is a key cellular process tightly regulated by multiple kinases. The involvement of mitogen-activated protein kinases (MAPKs) in this process has been established in Xenopus egg extracts. However, the detailed regulatory cascade remains elusive, and also it is unknown whether the MAPKs-dependent mitotic regulation is evolutionarily conserved in the single cell eukaryotic organism such as fission yeast (Schizosaccharomyces pombe). Here we show that two MAPKs in S. pombe indeed act in concert to restrain anaphase-promoting complex/cyclosome (APC/C) activity upon activation of the spindle assembly checkpoint (SAC). One MAPK, Pmk1, binds and phosphorylates Slp1Cdc20, the co-activator of APC/C. Phosphorylation of Slp1Cdc20 by Pmk1, but not by Cdk1, promotes its subsequent ubiquitylation and degradation. Intriguingly, Pmk1-mediated phosphorylation event is also required to sustain SAC under environmental stress. Thus, our study establishes a new underlying molecular mechanism of negative regulation of APC/C by MAPK upon stress stimuli, and provides an unappreciated framework for regulation of anaphase entry in eukaryotic cells. One-sentence summaryInhibitory effect on the activation of anaphase promoting complex/cyclosome (APC/C) by MAPK Pmk1

cell biology↗

bioRxiv2024

Coronavirus Nucleocapsid Protein Enhances the binding of p-PKCα to RACK1: Implications for Inhibition of Nucleocytoplasmic Trafficking and Suppression of the Innate Immune Response

The hallmark of coronavirus infection lies in its ability to evade host immune defenses, a process intricately linked to the nuclear entry of transcription factors crucial for initiating the expression of antiviral genes. Central to this evasion strategy is the manipulation of the nucleocytoplasmic trafficking system, which serves as an effective target for the virus to modulate the expression of immune response-related genes. In this investigation, we discovered that infection with the infectious bronchitis virus (IBV) dynamically impedes the nuclear translocation of several transcription factors such as IRF3, STAT1, STAT2, NF-{kappa}B p65, and the p38 mitogen-activated protein kinase (MAPK), leading to compromised transcriptional induction of key antiviral genes such as IFN{beta}, IFITM3, and IL-8. Further examination revealed that during the infection process, components of the nuclear pore complex (NPC), particularly FG-Nups (such as NUP62, NUP153, NUP42, and TPR), undergo cytosolic dispersion from the nuclear envelope; NUP62 undergoes phosphorylation, and NUP42 exhibits a mobility shift in size. These observations suggest a disruption in nucleocytoplasmic trafficking. Screening efforts identified the IBV nucleocapsid protein (N) as the agent responsible for the cytoplasmic distribution of FG-Nups, subsequently hindering the nuclear entry of transcription factors and suppressing the expression of antiviral genes. Interactome analysis further revealed that the IBV N protein interacts with the scaffold protein RACK1, facilitating the recruitment of activated protein kinase C alpha (p-PKC) to RACK1 and relocating the RACK1-PKC complex to the cytoplasm. These observations are conserved across pan-coronaviruses N proteins. Concurrently, the presence of both RACK1 and PKC/{beta} proved essential for the phosphorylation and cytoplasmic dispersion of NUP62, the suppression of antiviral cytokine expression, and efficient virus replication. These findings unveil a novel, highly effective, and evolutionarily conserved mechanism. Author summaryCoronaviruses employ diverse strategies to suppress the host innate immune defense. In this study, we uncovered a novel and highly effective strategy utilized by pan-coronaviruses to inhibit the innate immune response. Specifically, we found that the coronavirus N protein facilitates the binding of p-PKC to RACK1, leading to the phosphorylation of NUP62 and the cytoplasmic redistribution of multiple FG-Nups. This phenomenon is accompanied by the disruption of nuclear translocation of several innate immune response-related transcription factors and suppression of antiviral/pro-inflammatory genes expression. Our research represents the first elucidation of how the N protein targets and impairs NPC function through the promotion of RACK1-PKC interaction and NUP62 phosphorylation/disassembly. This discovery unveils a novel mechanism employed by pan-coronaviruses to counteract the host immune response.

microbiology↗

bioRxiv2024

Subnanometer structure of medusavirus capsid during maturation using cryo-electron microscopy

Medusavirus is a giant virus classified into an independent family of Mamonoviridae. Medusavirus-infected amoebae release immature particles in addition to the virions. These particles were suggested to exhibit the maturation process of this virus, but the structure of these capsids during maturation remains unknown. Here, we applied a block-based reconstruction method in cryo-electron microscopy (cryo-EM) single particle analysis to these viral capsids, extending these resolutions to 7-10 [A]. The map revealed a novel network consisted of minor capsid proteins (mCPs), supporting major capsid proteins (MCPs). A predicted molecular model of the MCP fitted into the cryo-EM map clarified the boundaries between the MCP and the underlining mCPs and between the MCP and the outer spikes, identifying the molecular interactions between the MCP and these components. Several structural changes of mCPs were observed beneath the 5-fold vertices of immature particles, depending on the presence or absence of the underlying internal membrane. Furthermore, the lower part of penton proteins on the 5-fold vertices were also lost in the mature virions. These dynamic structural changes of mCPs exhibit important functions in the maturation process of medusavirus. ImportanceStructural changes in giant virus capsids during maturation have not been known. Medusavirus is a unique giant virus, where amoebae infected with the virus release immature particles in addition to mature virions. In this study, immature and mature medusavirus particles were investigated using cryo-electron microscopy, and firstly reported the structural changes in the viral capsid during maturation. In DNA empty particles, the conformation of the minor capsid proteins dynamically changed depending on the presence or absence of the underlying internal membranes. In DNA full particles, the lower part of the penton proteins was lost. These are the first report of the structural changes in the viral capsid during giant virus maturation.

molecular biology↗

bioRxiv2024

Secondary microglia formation center in the human fetal brain

Yolk sac-derived microglia migrate and populate the brain during development, constituting 10-15% of the total brain cells. The human brain is the largest and most complex brain with the highest cognitive capacity among all species. Therefore, the limitations of rodent brain studies in interpreting the human brain are evident. By co-immunostaining microglia in 50 {micro}m fetal brain sections from 7.5 to 16 gestational weeks (gw) and combining high-resolution scanning, we identified a highly proliferative microglia aggregate (0.108-2.129 mm2) that expanded in Downs Syndrome fetal brain (4.168 mm2) and was located near the ganglion eminence, in which Ki67+ microglia accounted for 23.4% of total microglia compared to 6.3% in other brain regions. The microglia in the aggregates lack phagocytic bulbs, membrane ruffles, and long/branching processes compared to microglia in other brain regions. Introducing human microglia into cortical organoids, but not macrophages, replicated proliferative microglial aggregates on the brain organoid surface and sufficiently penetrated deeper regions of the cortical organoids. Penetrating microglia display phagocytic capacity, enhance immunity, and accelerate the maturation of brain organoids. The large proliferative microglial aggregate may be a unique secondary microglial formation center in the human fetal brain to compensate for the enormous microglial demands during brain expansion.

neuroscience↗

bioRxiv2024

Sec23IP recruits the Cohen syndrome factor VPS13B/COH1 to ER exit site-Golgiinterface for tubular ERGIC formation

VPS13B/COH1 is the only known causative factor for Cohen syndrome, an early-onset autosomal recessive developmental disorder with intellectual inability, developmental delay, joint hypermobility, myopia and facial dysmorphism as common features, but the molecular basis of VPS13B/COH1 in pathogenesis is unknown. Here, we identify Sec23 interacting protein (Sec23IP) at ER exit site (ERES) as a VPS13B adaptor that recruits VPS13B to ERES-Golgi interfaces. VPS13B interacts directly with Sec23IP via the VPS13 adaptor binding domain (VAB), and the interaction promotes the association between ERES and the Golgi. Disease-associated missense mutations of VPS13B-VAB impair the interaction with Sec23IP. Knockout of VPS13B or Sec23IP blocks the formation of tubular ERGIC, an unconventional cargo carrier that expedites ER-to-Golgi transport. In addition, depletion of VPS13B or Sec23IP delays ER export of procollagen, suggesting a link between procollagen secretion and joint laxity in patients with Cohen disease. Together, our study reveals a crucial role of VPS13B-Sec23IP interaction at ERES-Golgi interface in the pathogenesis of Cohen syndrome.

cell biology↗

bioRxiv2024

Absolute quantitative and base-resolution sequencing reveals comprehensive landscape of pseudouridine across the human transcriptome

Pseudouridine ({Psi}) is one of the most abundant modifications in cellular RNA. However, its function remains elusive, mainly due to the lack of highly sensitive and accurate detection methods. To address this challenge, we introduced 2-bromoacrylamide-assisted cyclization sequencing (BACS) for quantitative profiling of {Psi} at single-base resolution. Based on novel bromoacrylamide cyclization chemistry, BACS enables a {Psi}-to-C transition. Compared to previous methods, BACS allowed the precise identification of {Psi} positions, especially in densely modified {Psi} regions and consecutive uridine sequences. BACS successfully detected all known {Psi} sites in human rRNA and spliceosomal snRNAs and generated the first quantitative {Psi} map of human snoRNA and tRNA. Furthermore, BACS simultaneously detected adenosine-to-inosine (A-to-I) editing sites and N1-methyladenosine (m1A). Depletion of three key pseudouridine synthases (PUS) enabled us to elucidate the targets and sequence motifs of TRUB1, PUS7, and PUS1 in HeLa cells. We further applied BACS to Epstein-Barr virus (EBV)-encoded small RNAs (EBERs) and identified a highly abundant {Psi}114 site in EBER2. Surprisingly, applying BACS to a panel of RNA viruses demonstrated the absence of {Psi} in their viral transcripts or genomes, shedding light on differences in pseudouridylation between virus families. We anticipate BACS to serve as a powerful tool to uncover the biological importance of {Psi} in future studies.

molecular biology↗

bioRxiv2023

Use of phase plate cryo-EM reveals conformation diversity of therapeutic IgG with 50 kDa Fab fragment resolved below 6 angstrom

While cryogenic electron microscopy (cryo-EM) is fruitfully used for harvesting high-resolution structures of sizable macromolecules, its application to small or flexible proteins composed of domains like immunoglobulin (IgG) remain challenging. Here, we applied single particle cryo-EM to Rituximab, a therapeutic IgG mediating cancer cell toxicity, to explore its solution conformations. We found Rituximab molecules exhibited aggregates in cryo-EM specimens contrary to its solution behavior, and utilized a non-ionic detergent to successfully disperse them as isolated particles amenable to single particle analysis. As the detergent adversely reduced the protein-to-solvent contrast, we employed phase plate contrast to mitigate the impaired protein visibility. Assisted by phase plate imaging, we obtained a canonical three-arm IgG structure with other structures displaying variable arm densities co-existing in solution, affirming high flexibility of arm-connecting linkers. Furthermore, we showed phase plate imaging enables reliable structure determination of Fab to sub-nanometer resolution from ab initio, yielding a characteristic two-lobe structure that could be unambiguously docked with crystal structure. Our findings revealed conformation diversity of IgG and demonstrated phase plate was viable for cryo-EM analysis of small proteins without symmetry. This work helps extend cryo-EM boundaries, providing a valuable imaging and structural analysis framework for macromolecules with similar challenging features.

biochemistry↗

bioRxiv2023

ReDis: efficient metagenomic profiling via assigning ambiguous reads

SummaryMetagenomic profiling is one of the primary means of microbiome analysis, which includes classification of sequencing reads and quantification of their relative abundances. Although mang methods have been developed for metagenomic profiling, metagenomic profiling remains challenges on striking a delicate balance between accuracy and runtime as well as assigning the ambiguous reads. Here, we present a novel method, named ReDis, to overcome the above issues. ReDis combines Kraken2 with Minimap2 for aligning sequencing reads against a reference database with hundreds of gigabytes (GB) in size accurately within feasible time, and then uses a novel statistical model to assign the ambiguous reads for producing accurate abundance estimates. In contrast to the popular Kraken2+Bracken, ReDis improved the accuracy of abundance estimation on simulated reads from two highly similar genomes: Escherichia coli and Shigella flexneri. Contacth.guo@foxmail.com or jlsljf0101@126.com

bioinformatics↗

bioRxiv2023

Switching Go-Martini for Investigating Protein Conformational Transitions and Associated Protein-Lipid Interactions

Proteins are dynamic biomolecules that can transform between different conformational states when exerting physiological functions, which is difficult to simulate by using all-atom methods. Coarse-grained G[o]-like models are widely-used to investigate large-scale conformational transitions, which usually adopt implicit solvent models and therefore cannot explicitly capture the interaction between proteins and surrounding molecules, such as water and lipid molecules. Here, we present a new method, named Switching G[o]-Martini, to simulate large-scale protein conformational transitions between different states, based on the switching G[o] method and the coarse-grained Martini 3 force field. The method is straight-forward and efficient, as demonstrated by the benchmarking applications for multiple protein systems, including glutamine binding protein (GlnBP), adenylate kinase (AdK), and {beta}2-adrenergic receptor ({beta}2AR). Moreover, by employing the Switching G[o]-Martini method, we can not only unveil the conformational transition from the E2Pi-PL state to E1 state of the Type 4 P-type ATPase (P4-ATPase) flippase ATP8A1-CDC50, but also provide insights into the intricate details of lipid transport.

biophysics↗

bioRxiv2023

GreenGate 2.0: backwards compatible addons for assembly of complex transcriptional units and their stacking with GreenGate

Molecular cloning is a crucial technique in genetic engineering that enables the precise design of synthetic transcriptional units (TUs) and the manipulation of genomes. GreenGate and several other modular molecular cloning systems were developed about ten years ago and are widely used in plant research. All these systems define grammars for assembling transcriptional units from building blocks, cloned as Level 0 modules flanked by four-base pair overhangs and recognition sites for a particular Type IIs endonuclease. Modules are efficiently assembled into Level 1 TUs in a hierarchical assembly process, and Level 2 multigene constructs are assembled by stacking Level 1 TUs. GreenGate is highly popular but has three main limitations. First, using ad-hoc overhangs added by PCR and classical restriction/ligation prevents the efficient use of a one-pot, one-step reaction to generate entry clones and domesticate internal sites; second, a Level 1 TU is assembled from a maximum of six modules, which may be limiting for applications such as multiplex genome editing; third, the generation of Level 2 assemblies is sequential and inefficient. GreenGate 2.0 (GG2.0) expands GreenGate features. It introduces additional overhangs, allowing for the combination of up to 12 Level 0 modules in a Level 1 TU. It includes a Universal Entry Generator plasmid (pUEG) to streamline the generation of Level 0 modules. GG2.0 introduces GreenBraid, a convenient method for stacking transcriptional units iteratively for multigene assemblies. Importantly, GG2.0 is backwards compatible with most existing GreenGate modules. Additionally, GG2.0 includes Level 0 modules for multiplex expression of guide RNAs for CRISPR/Cas9 genome editing and pre-assembled Level 1 vectors for dexamethasone-inducible gene expression and ubiquitous expression of plasma membrane and nuclear fluorescent markers. GG2.0 streamlines and increases the versatility of assembling complex transcriptional units and their combination.

plant biology↗

bioRxiv2023

Functional analysis of Cdc20 reveals a critical role of CRY box in mitotic checkpoint signaling

Accurate chromosome segregation is coordinated by the spindle assembly checkpoint (SAC) through its effector the mitotic checkpoint complex (MCC), to inhibit the anaphase-promoting complex or cyclosome (APC/C). Cdc20 is an essential mitotic regulator since it promotes mitotic exit through activating the APC/C and monitors kinetochore-microtubule attachment through activating the SAC. The proper functioning of Cdc20 requires multiple interactions with APC/C and MCC subunits. To functionally assess each of these interactions within cells requires efficient depletion of endogenous Cdc20, which is highly difficult to achieve by RNAi. Here we generated Cdc20 RNAi sensitive cell lines by CRISPR/Cas9 which display a penetrant metaphase arrest phenotype by a single RNAi treatment. In this null background, we accurately measured the contribution of each known motif of Cdc20 on APC/C and SAC activation. The CRY box, a previously identified degron was found to be critical for the SAC by promoting the MCC formation and stabilizing the interaction between the MCC and APC/C. These data reveal additional regulatory components within the SAC and establish a novel method to interrogate Cdc20 function.

cell biology↗

bioRxiv2023

Strigolactones optimise plant water usage by modulating vessel formation

Wood formation is fundamental for the remarkable growth of plant bodies by continuously providing cells for long-distance transport of water and nutrients1-3. Vessel elements, the water transporting units within woody tissues, are generated from a cylindrical domain of cambium stem cells (CSCs) producing different vascular cell types in a bidirectional manner4-6. However, knowledge on the regulation of CSC activity is limited with unclear cell fate trajectories as the most obscure aspect in this context. Here, via revealing transcriptome signatures of CSCs and their derivatives with single cell resolution in Arabidopsis thaliana, we discover that the strigolactone (SL) signalling pathway modulates cell type composition in vascular tissues and thereby increases drought resistance. In particular, we find that SL signalling negatively regulates vessel element formation and thereby plant water usage. SL signalling is generally associated with differentiating vascular tissues but low in developing vessels and in CSCs implying a local role during fate decisions in CSC-derived cells. Highlighting the importance of vascular tissue composition for the overall plant water balance, alteration of vessel element formation has a direct impact on transpiration rates through leaf stomata. Our results demonstrate the importance of structural alignment of water transporting tissues to unstable water regimes and provide perspectives for a long-term modulation of drought resistance in plants.

plant biology↗

bioRxiv2023

Coronavirus endoribonuclease nsp15 induces host cellular protein synthesis shutoff

The endoribonuclease (EndoU) nsp15 of coronaviruses plays an important role in evasion of host innate immune responses by reducing the abundance of viral double-stranded RNA, whereas less is known about potential host cellular targets of nsp15. In this study, we show that cellular protein synthesis is inhibited upon over-expression of nsp15 from four genera of coronaviruses and this is accompanied by nuclear retention of the poly(A) binding protein cytoplasmic 1 (PABPC1). We also show that the EndoU activity of nsp15 is indispensable for both, inhibition of protein synthesis and PABPC1 nuclear relocation. FISH analysis using oligo-dT probes, revealed an overlap between the localization of cellular mRNA and that of overexpressed nsp15 in some cells, suggesting that, when expressed alone, nsp15 may target host mRNA. When investigating the association of nsp15 on protein shut off in the context of a viral infection, we observed that the{gamma} -coronavirus infectious bronchitis virus (IBV), induced host translation shutoff in an p-eIF2-independent manner and mainly retained PABPC1 in the cytoplasm, whereas the nsp15 EndoU-deficient IBV accumulated viral dsRNA and caused p-PKR-p-eIF2-dependent host protein translation shutoff, accompanied with PABPC1 nuclear relocation or stress granule (SG) localization. This phenomenon suggests that during infection with wild type IBV, although the cellular translation is inhibited, initiation of viral mRNA translation leads to PABPC1 binding to viral mRNA, thereby preventing its nuclear entry; during infection with nsp15 EndoU-deficient IBV however, the eIF2-dependent host protein translation shutoff prevents both host and viral mRNA translation initiation, releasing PABPC1 from binding to cytosolic and viral mRNA, thereby relocating it to the nucleus or to SG. Altogether, this study reveals unique yet conserved mechanisms of host protein shutoff that add to our understanding of how coronaviruses regulate host protein expression through a mechanism that involves catalytically active nsp15 EndoU, and describes how nsp15 may target both, viral and host mRNA. Author summaryIt has been reported that coronavirus infection suppresses host protein translation, - and {beta}- coronavirus nsp1 is responsible for inhibition of host gene expression. However, for{gamma} - and{delta} -coronavirus, there is no nsp1 and the underlying mechanisms by which virus regulates host translation are not well characterized. Here, we show that coronavirus endoribonuclease nsp15 is responsible for the inhibition of host translation by targeting to host factors, meanwhile it helps virus bypass the PKR-eIF2 mediated host translation shutoff, which is harmful for virus gene expression, by reducing the accumulation of viral dsRNA. This novel finding gives insight how does nsp15 targets to both host factors and viral RNA, to facilitate virus replication. Moreover, the novel function of nsp15 is found to be conserved among coronaviruses, revealing the essential role of this endoribonuclease in hijacking host translation machinery for virus replication.

microbiology↗

bioRxiv2023

E2EGraph: An End-to-end Graph Learning Model for Interpretable Prediction of Pathlogical Stages in Prostate Cancer

Prostate cancer is one of the deadliest cancers worldwide. An accurate prediction of pathological stages using the expressions and interactions of genes is effective for clinical assessment and treatment. However, identification of interactions using biological procedure is time consuming and prohibitively expensive. A graph is a powerful representation for the complex interactome of genes, their transcripts, and proteins. Recently, Graph Neural Networks (GNNs) have gained great attention in machine learning due to their capability to capture the graphical interactions among data entities. To leverage GNNs for predicting pathological stage stages, we developed an end-to-end graph representation and learning model, namely E2EGraph, which can automatically generate a graph representation using gene expression data and a multi-head graph attention network to learn the strength of interactions among genes and make the prediction. To ensure the reliability of model prediction, we identify critical components of graph representation and GNN model to interpret prediction results from multiple perspectives at gene and patient levels. We evaluated E2EGraph to predict pathological stages of prostate cancer using The Cancer Genome Atlas (TCGA) data. Our experimental results demonstrate that E2EGraph reaches the state-of-art prediction performance while being effective in identifying marker genes indicated by interpretability. Our results point to a direction where adaptive graph construction and attention based GNNs can be leveraged for various prediction tasks and interpretation of model prediction in a variety of data domains including disease prediction.

bioinformatics↗

bioRxiv2023

Novel gut microbiota and microbiota-metabolites signatures in gliomas and its predictive/prognosis functions

Gliomas are the most common malignant tumors in the central nervous system. Host genetic and environmental factors have been implicated as the causes and regulators of gliomas. Evidence shows that alterations of the gut microbiome play an important role in multiple diseases including central nervous system disorders. However, the influence of gut microbiome to the epigenesis of gliomas remains largely unknown. Here we profiled the gut microbiome and metabolome in fecal samples from healthy volunteers and the patients with gliomas through the 16S rRNA gene sequencing and LC-MS analyses. The fecal samples from primary glioma patients (n=51), recurrent glioma patients (n=11), patients who underwent TMZ radio-chemotherapy (n=16) and healthy volunteers (n=37) were collected. 56 discriminatory OTUs and 144 metabolites were observed in gliomas compared to those in healthy volunteers, and some species were correlated with clinical parameters, such as tumor grade, IDH-1 and MGMT status. Moreover, the gliomas group showed increased activity in pathways associated with ectoine biosynthesis, fatty acid elongation (saturated), and protocatechuate degradation. At the same time, we revealed 4 fatty-acid metabolites(palmitic acid, oleic acid, DL-beta-Hydroxypalmitic acid, 4-(Methylamino)-4-(3-pyridyl)butyric acid) as possibly interacting with glioma growth. Random forest modeling indicated that a model involving 8 genera and 10 metabolite biomarkers achieved a high accuracy in gliomas prediction (AUC=94.4%). We investigated interassociations between the microbial genera in glioblastoma multiforme (GBM) and progression-free survival (PFS) and overall survival (OS) by Spearmans correlation analysis. Patients with high proportions of fecal Faecalibacterium had significantly better median PFS or OS than those with low proportions (mPFS 495 vs. 281 days, p=0.005; mOS 604 vs. 395 days, p=0.044). Moreover, animal experiments have verified the causal relationship between the structural changes of gut microbiome and glioma growth. Our current study comprehensively characterizes the perturbed interface of gut microbiome and metabolites in glioma patients, which may be used as diagnostic and prognostic biomarkers of gliomas.

neuroscience↗

bioRxiv2023

Secure Deep Learning on Genomics Data via a Homomorphic Encrypted Residue Activation Network

Growing applications of deep learning on sensitive genomics and biomedical data introduce challenging privacy and secure problems. Homomorphic encryption (HE) is one of appropriate cryptographic techniques to provide secure machine learning evaluation by directly computing over encrypted data, so that allows the data owner and model owner to outsource processing of sensitive data to an untrusted server without leaking any information about the data. However, most current HE schemes only support limited arithmetic operations, which significantly hinder their applications to support secure deep learning algorithm. Considering the potential performance loss introduced for approximating activation function, in this paper, we develop a novel HE friendly deep network, named Residue Activation Network (ResActNet) to implement precise privacy-preserving machine learning algorithm with a non-approximating activation on HE scheme. We considered a residue activation strategy with a scaled power activation function in the deep network. In particular, a scaled power activation (SPA) function is set within the HE scheme, and so that can be directly deployed on HE computation. Moreover, we proposed a residue activation strategy to constrain the latent space in the training process for alleviating the optimization difficulty. We comprehensively evaluate ResActNet using diverse genomics datasets and widely-used image datasets. Our results demonstrate that ResActNet outperforms other alternative solutions to secure machine learning with HE and achieves low approximation errors in classification and regression tasks.

bioinformatics↗

bioRxiv2023

Structure and its transformation of elliptical nege-like virus Tanay virus

Negeviruses that infect insects are recently identified virus species that are phylogenetically related to several plant viruses. They exhibit a unique virion structure, an elliptical core with a short projection. Negeviruses encode two structural proteins, a glycoprotein that forms a short projection, and an envelope protein that forms an elliptical core. The glycoprotein has been reported only in the negeviruses genes, and not in phylogenetically related plant viruses genes. In this report, we first describe the three-dimensional electron cryo-microscopy (cryo-EM) structure of Tanay virus (TANAV), one of the nege-like viruses. TANAV particle demonstrates a periodical envelope structure consisting of three layers surrounding the centered viral RNA. The elliptical core dynamically changes its shape under acidic and even low detergent conditions to form bullet-like or tubular shapes. The further cryo-EM studies on these transformed TANAV particles reveal their overall structural rearrangement. These findings suggest putative geometries of TANAV and its transformation in the life cycle, and the potential importance of the short projection for enabling cell entry to the insect hosts. Impact statementNegeviridae has recently been declared as a virus family that includes virus species exhibiting a unique particle structure that differs from other known viruses. They are known to be common mosquito viruses isolated around the world, but also phylogenetically related to several plant viruses that impair crop production. Therefore, the negeviruses may also play a role in plant ecosystems that threaten agriculture. However, the mechanism of infection and assembly of the negeviruses as well as their structure were unknown. In this study, intact and dissociated structures of the TANAV were first examined using cryo-EM single particle analysis (SPA) and electron cryo-tomography (cryo-ET). These results reveal new structural geometries of the TANAV particle and its dynamic transformation under acidic and even low-detergent conditions, providing new insights into the infection and assembly mechanism in negeviruses.

biophysics↗

bioRxiv2023

Osteoblast-intrinsic defect in glucose metabolism impairs bone formation in type II diabetic mice

Skeletal fragility is associated with type 2 diabetes mellitus (T2D), but the underlying mechanism is not well understood. Here, in a mouse model for youth-onset T2D, we show that both trabecular and cortical bone mass are reduced due to diminished osteoblast activity. Stable isotope tracing in vivo with 13C-glucose demonstrates that both glycolysis and glucose fueling of the TCA cycle are impaired in diabetic bones. Similarly, Seahorse assays show suppression of both glycolysis and oxidative phosphorylation by diabetes in bone marrow mesenchymal cells as a whole, whereas single-cell RNA sequencing reveals distinct modes of metabolic dysregulation among the subpopulations. Metformin not only promotes glycolysis and osteoblast differentiation in vitro, but also improves bone mass in diabetic mice. Finally, targeted overexpression of Hif1a or Pfkfb3 in osteoblasts of T2D mice averts bone loss. The study identifies osteoblast-intrinsic defects in glucose metabolism as an underlying cause of diabetic osteopenia, which may be targeted therapeutically.

physiology↗