Biology subjects

Xiao, G.

Publications and source records attributed to Xiao, G..

At least 73 records · Page 4Linked to original sources

bioRxiv2022

Specific Deletion of Axin1 Leads to Activation of β-Catenin/BMP Signaling Resulting in Fibular Hemimelia Phenotype in Mice

Axin1 and Axin2 are key regulators of canonical Wnt signaling pathway. The roles of Axin1 and Axin2 in skeletal development and in disease development have not been fully defined. Here, we reported that Axin1 and Axin2 are essential for lower limb development. Specific deletion of Axin1 in limb mesenchymal cells leads to fibular hemimelia (FH)-like phenotype, associated with tarsal coalition. Further studies demonstrated that FH disease is associated with additional defects resembling to the proximal femoral focal deficiency (PFFD) in Axin1/Axin2 double knockout (KO) mice. We then provided in vivo evidence showing that Axin1 controls limb development through both canonical {beta}-catenin and BMP signaling pathways. We demonstrated that inhibition of {beta}-catenin or BMP signaling could significantly reverse the FH phenotype in mice. Together, our findings revealed that integration of Wnt and BMP signaling by Axin1 is required for lower limb development. Defects in Axin1 and Axin2 signaling could lead to the development of FH disease.

developmental biology↗

bioRxiv2022

MB-SupCon: Microbiome-based predictive models via Supervised Contrastive Learning

Human microbiome consists of trillions of microorganisms. Microbiota can modulate the host physiology through molecule and metabolite interactions. Integrating microbiome and metabolomics data have the potential to predict different diseases more accurately. Yet, most datasets only measure microbiome data but without paired metabolome data. Here, we propose a novel integrative modeling framework, Microbiome-based Supervised Contrastive Learning Framework (MB-SupCon). MB-SupCon integrates microbiome and metabolome data to generate microbiome embeddings, which can be used to improve the prediction accuracy in datasets that only measure microbiome data. As a proof of concept, we applied MB-SupCon on 720 samples with paired 16S microbiome data and metabolomics data from patients with type 2 diabetes. MB-SupCon outperformed existing prediction methods and achieves high average prediction accuracies for insulin resistance status (84.62%), sex (78.98%), and race (80.04%). Moreover, the microbiome embeddings form separable clusters for different covariate groups in the lower-dimensional space, which enhances data visualization. We also applied MB-SupCon on a large inflammatory bowel disease study and observed similar advantages. Thus, MB-SupCon could be broadly applicable to improve microbiome prediction models in multi-omics disease studies.

bioinformatics↗

bioRxiv2022

Multiple Cullin-Associated E3 Ligases Regulate Cyclin D1 Protein Stability

Cyclin D1 is a key regulator of cell cycle progression, which forms a complex with CDK4/6 to regulate G1/S phase transition during cell cycle progression. Cyclin D1 has been recognized as an oncogene since it was upregulated in several different types of cancers. It is known that the post-translational regulation of cyclin D1 is controlled by ubiquitination/ proteasome degradation system in a phosphorylation-dependent manner. A few cullin-associated F-box E3 ligases have been shown to regulate cyclin D1 degradation; however, it is not known if additional cullin-associated E3 ligases participate in the regulation of cyclin D1 protein stability. In this study, we have screened a siRNA library containing siRNAs specific for 154 ligase subunits, including F-box, SOCS, BTB-containing proteins and DDB proteins. We found that multiple cullin-associated E3 ligases regulate cyclin D1 activity, including Keap1, DDB2, WSB2 and Rbx1. We found that these E3 ligases directly interact with cyclin D1, regulate cyclin D1 ubiquitination and proteasome degradation in a phosphorylation-dependent manner. These E3 ligases also control cell cycle progression and cell proliferation through regulation of cyclin D1 protein stability. Our study provides novel insights into regulatory mechanisms of cyclin D1 protein stability and function.

molecular biology↗

bioRxiv2022

Real-time denoising of fluorescence time-lapse imaging enables high-sensitivity observations of biological dynamics beyond the shot-noise limit

A fundamental challenge in fluorescence microscopy is the inherent photon shot noise caused by the inevitable stochasticity of photon detection. Noise increases measurement uncertainty, degrades image quality, and limits imaging resolution, speed, and sensitivity. To achieve high-sensitivity imaging beyond the shot-noise limit, we provide DeepCAD-RT, a versatile self-supervised method for effective noise suppression of fluorescence time-lapse imaging. We made comprehensive optimizations to reduce its data dependency, processing time, and memory consumption, finally allowing real-time processing on a two-photon microscope. High imaging signal-to-noise ratio (SNR) can be acquired with 10-fold fewer fluorescence photons. Meanwhile, the self-supervised superiority makes it a practical tool in fluorescence microscopy where ground-truth images for training are hard to obtain. We demonstrated the utility of DeepCAD-RT in extensive experiments, including in vivo calcium imaging of various model organisms (mouse, zebrafish larva, fruit fly), 3D migration of neutrophils after acute brain injury, and 3D dynamics of cortical ATP (adenosine 5-triphosphate) release. DeepCAD-RT will facilitate the morphological and functional interrogation of biological dynamics with minimal photon budget.

biophysics↗

bioRxiv2022

Spinning Disk Multifocal Microscopy for Dynamic Arbitrarily Shaped Surface Imaging at Centimetre Scale and Micrometre Resolution

The large-scale fluorescence microscopy has enabled the observation of dynamic physiological activities at the single cellular level across the mouse cortex, such as distributed neuronal population representations. However, video-rate high-resolution microscopy at sophisticated biological surfaces in nature keeps a challenging task for the tradeoff between the speed, resolution, and field of view. Here we propose Spinning Disk Multifocal Microscopy (SDiM) for arbitrarily shaped surfaces, which enables imaging at centimeter field-of-view, micrometer resolution and up to 30 frames per second across the depth range of 450 {micro}m. We apply this technique in various microscopic systems, including customized macroscopic systems and the Real-time Ultra-large-Scale imaging at High resolution macroscopy (RUSH), in both the reflective mode and the fluorescence mode, and in the study of cortex-wide single-neuron imaging and immune cell tracking. SDiM provides an opportunity for studying the cortex-wide multi-scale cellular interactions in biological tissues.

bioengineering↗

bioRxiv2022

Rapid deep widefield neuron finder driven by virtual calcium imaging data

Widefield microscope provides optical access to multi-millimeter fields of view and thousands of neurons in mammalian brains at video rate. However, calcium imaging at cellular resolution has been mostly contaminated by tissue scattering and background signals, making neuronal activities extraction challenging and time-consuming. Here we present a deep widefield neuron finder (DeepWonder), which is fueled by simulated calcium recordings but effectively works on experimental data with an order of magnitude faster speed and improved inference accuracy than traditional approaches. The efficient DeepWonder accomplished fifty-fold signal-to-background ratio enhancement in processing terabytes-scale cortex-wide recording, with over 14000 neurons extracted in 17 hours in workstation-grade computing resources compared to nearly week-long processing time with previous methods. DeepWonder circumvented the numerous computational resources and could serve as a guideline to massive data processing in widefield neuronal imaging.

bioengineering↗

bioRxiv2021

De-noising Spatial Expression Profiling Data Based on in situ Position and Image Information

Spatial transcriptomics (ST) technologies provide gene expression close to or even superior to single-cell resolution while retaining the physical locations of sequencing and often also providing matched pathology images. However, the expression data captured by ST technologies suffer from high noise levels, as a result of the shallow coverage in each sequencing unit. The extra experimental steps for preserving the spatial locations of sequencing could result in even more severe noises, compared to regular single-cell RNA-sequencing (scRNA-seq). Fortunately, such noises could be largely removed by leveraging information from the physical locations of sequencing, and the tissue and cellular organization reflected by corresponding pathology images. In this work, we demonstrated the extensive levels of noise in ST data. We developed a mathematical model, named Sprod, to impute accurate ST gene expression based on latent space and graph learning of matched location and imaging data. We comprehensively validated Sprod and demonstrated its advantages over prior methods for removing drop-outs in scRNA-seq data. We further showed that, after adequate imputation by Sprod, differential expression analyses, pseudotime analyses, and cell-to-cell interaction inferences yield significantly more informative results. Overall, we envision denoising by Sprod to become a key first step to empower ST technologies for biomedical discoveries and innovations.

bioinformatics↗

bioRxiv2021

Screening and Identification of Lujo Virus Entry Inhibitors from an FDA-Approved Drugs Library

The Lujo virus (LUJV) belongs to the Old World (OW) genus Mammarenavirus (family Arenaviridae); it is categorized as a biosafety level (BSL) 4 agent. Currently, there are no U.S. Food and Drug Administration (FDA)-approved drugs or vaccines specifically for LUJV or other pathogenic OW mammarenaviruses. Here, a high-throughput screening of an FDA-approved drug library was conducted using pseudotype viruses bearing LUJV envelope glycoprotein (GPC) to identify inhibitors of LUJV entry. Three hit compounds, trametinib, manidipine, and lercanidipine, were identified as LUJV entry inhibitors in the micromolar range. Mechanistic studies revealed that trametinib inhibited LUJV GPC-mediated membrane fusion by targeting C410 (located in the transmembrane (TM) domain), while manidipine and lercanidipine inhibited LUJV entry by acting as calcium channel blockers. Meanwhile, all three hits extended their antiviral spectra to the entry of other pathogenic mammarenaviruses. Furthermore, all three could inhibit the authentic prototype mammarenavirus, lymphocytic choriomeningitis virus (LCMV), and could prevent infection at the micromolar level. This study shows that trametinib, manidipine, and lercanidipine are candidates for LUJV therapy, and highlights the critical role of calcium in LUJV infection. The presented findings reinforce the notion that the key residue(s) located in the TM domain of GPC provide an entry-targeted platform for designing mammarenavirus inhibitors. IMPORTANCETo date, only one LUJV outbreak has been recorded; it occurred in 2008 and resulted in a fatality rate of 80% (4/5 cases). Pathogenesis studies and therapeutic strategies are therefore urgently needed. Repurposing approved drugs can accelerate the development of drug design and facilitate the understanding of infectious mechanisms. Here, three compounds, trametinib, manidipine, and lercanidipine, were identified as entry inhibitors against LUJV. Studying the underling mechanisms revealed that a key residue (C410) in LUJV GPC modulates its sensitivity/resistance to trametinib and demonstrated the critical role of calcium in LUJV infection.

microbiology↗

bioRxiv2021

Kindlin-2 preserves integrity of the articular cartilage to protect against osteoarthritis

Osteoarthritis (OA) is an aging-related degenerative joint disease, which has no cure partly due to limited understanding of its pathological mechanism(s). Here we report that the focal adhesion protein Kindlin-2, but not Kindlin-1 or -3, is highly expressed in articular chondrocytes of the hyaline cartilage, which is dramatically decreased in the degenerated articular cartilage of aged mice and patients with OA. Inducible deletion of Kindlin-2 in chondrocytes at adult stage leads to spontaneous OA and much severe OA lesions in the mice receiving the surgery of destabilization of the medial meniscus. Mechanistically, Kindlin-2 deficiency promotes mitochondrial oxidative stress and activates Stat3 in articular chondrocytes, leading to Runx2-mediated chondrocyte hypertrophic differentiation and catabolism. In vivo, systemic pharmacological blockade of Stat3 activation or genetic ablation of Stat3 in chondrocytes reverses aberrant accumulation of Runx2 and ECM-degrading enzymes and limits OA deteriorations caused by Kindlin-2 deficiency. Furthermore, genetic inactivation of Runx2 in chondrocytes reverses structural changes and OA lesions caused by Kindlin-2 deletion without down-regulating p-Stat3 in articular chondrocytes. Of translational significance, intraarticular injection of Kindlin-2-expressing adeno-associated virus decelerates progression of aging- and instability-induced knee joint OA in mice. Collectively, we identify a novel pathway comprising of Kindlin-2, Stat3 and Runx2 in articular chondrocytes responsible for maintaining integrity of the articular cartilage and define a potential therapeutic target for OA.

pathology↗

bioRxiv2021

Screening and Identification of Lassa Virus Endonuclease-targeting Inhibitors from a Fragment-based Drug Development Library

Lassa virus (LASV) belongs to the Old World genus Mammarenavirus, family Arenaviridae, and order Bunyavirales. Arenavirus contains a segmented negative-sense RNA genome, which is in line with the bunyavirus and orthomyxoviruses. The segmented negative-sense RNA viruses utilize a cap-snatching strategy to provide primers cleavaged from the host capped mRNA for viral mRNA transcription. As a similar strategy and the conformational conservation shared with these viruses, the endonuclease (EN) would serve as an attractive target for developing broad-spectrum inhibitors. Using the LASV minigenome (MG) system, we screened a fragment-based drug development library and found three candidates (F1204, F1781, and F1597) inhibited MG activity. All three candidates also inhibited the prototype arenavirus Lymphocytic choriomeningitis virus (LCMV) MG activity. Furthermore, the investigation revealed that two benzotriazole compounds (F1204 and F1781) effectively inhibited authentic LCMV and severe fever with thrombocytopenia syndrome virus (SFTSV) infections. The combination of either compound with an arenavirus entry inhibitor had significant synergistic antiviral effects. Moreover, both F1204 and F1781 were found to exert the binding ability of LASV EN with binding affinity at the micromolar level. These findings provide a basis for developing benzotriazole compounds as potential candidates for the treatment of segmented negative-sense RNA virus infections. ImportanceCap-snatching is the mRNA transcription strategy shared by all the segmented, negative-sense RNA viruses. Using a fragment-based drug development (FBDD) library, we tried to screen out the backbone compound to inhibit the endonuclease activity and thus block this kind of virus infection. Two benzotriazole compounds, F1204 and F1781, were identified to inhibit the Lassa virus (LASV) minigenome activity by targeting the LASV EN.

microbiology↗

bioRxiv2021

Screening of Botanical Drugs against SARS-CoV-2 Entry

An escalating pandemic caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is impacting global health. Specific treatment options for diseases caused by SARS-CoV-2 are largely lacking. Herein, we used a pseudotype virus (pv) bearing the SARS-CoV-2 S glycoprotein to screen a botanical drug library to identify an agent against SARS-CoV-2 entry. All the four hits, including angeloylgomisin O, schisandrin B, procyanidin, and oleanonic acid, were identified for effective inhibition of SARS-CoV-2 S pv entry in the micromolar range. A mechanistic study revealed that these four agents inhibit SARS-CoV-2 S pv entry by blocking S-mediated membrane fusion. Furthermore, angeloylgomisin O, schisandrin B, and oleanonic acid inhibited authentic SARS-CoV-2 with a high selective index (SI). We also showed that all the four hits could also inhibit the entry of pv of Middle East respiratory syndrome coronavirus (MERS-CoV) and newly emerged SARS-CoV-2 variants (D614G, K417N/E484K/N501Y/D614G). In drug combination studies performed in cellular antiviral assays, angeloylgomisin O and schisandrin B displayed synergistic effects in combination with remdesivir. These results indicated that angeloylgomisin O, schisandrin B, procyanidin, and oleanonic acid can inhibit SARS-CoV-2 and that they are potential therapeutic agents for COVID-19.

microbiology↗

bioRxiv2021

Identification of residues in Lassa virus glycoprotein 1 involved in receptor switch

Lassa virus (LASV) is an enveloped, negative-sense RNA virus that causes Lassa hemorrhagic fever, for which there are limited treatment options. Successful LASV entry requires the viral glycoprotein 1 (GP1) to undergo a receptor switch from its primary receptor alpha-dystroglycan (-DG) to its endosomal receptor lysosome-associated membrane protein 1 (LAMP1). A conserved histidine triad in LASV GP1 has been reported to be responsible for receptor switch. To test the hypothesis that other non-conserved residues also contribute to receptor switch, we constructed a series of GP1 mutant proteins and tested them for binding to LAMP1. Four residues, L84, K88, L107, and H170, were identified as critical for receptor switch. Substituting any of the four residues with the corresponding lymphocytic choriomeningitis virus residue (L84N, K88E, L10F, and H170S) reduced the binding affinity of GP1LASV for LAMP1. Moreover, all the mutations caused decreases in GPC-mediated membrane fusion at both pH 4.5 and 5.2. The infectivity of pseudotyped viruses bearing either GPCL84N or GPCK88E decreased sharply in multiple cell types, whereas L107F and H170S had only mild effects on infectivity. Notably, in LAMP1 knockout cells, all four mutants showed reduced pseudovirus infectivity. Using biolayer light interferometry assay, we found that all four mutants had decreased binding affinity to LAMP1, in the order L84N > L107F > K88E > H170S. IMPORTANCELassa virus requires pH-dependent receptor switch to infect host cells; however, the underlying molecular mechanisms of this process are not well known. Here, we identify four residues, L84, K88, L107, and H170 that contribute to the interaction with the second receptor lysosome-associated membrane protein 1 (LAMP1). Mutant any of the four residues would impair the binding affinity to LAMP1, decrease the glycoprotein mediated membrane fusion, and reduce the pseudovirus infectivity.

microbiology↗

bioRxiv2021

CoVac501, a self-adjuvanting peptide vaccine conjugated with TLR7 agonists, against SARS-CoV-2 induces protective immunity

Safe, economical and effective vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are needed to achieve adequate herd immunity and halt the pandemic. We have constructed a novel SARS-CoV-2 vaccine, CoVac501, which is a self-adjuvanting peptide vaccine conjugated with Toll-like receptor 7 (TLR7) agonists. The vaccine contains two immunodominant peptides screened from receptor-binding domain (RBD) and is fully chemically synthesized. And the vaccine has optimized nanoemulsion formulation, outstanding stability and safety. In non-human primates (NHPs), CoVac501 elicited high and persistent titers of RBD-specific and protective neutralizing antibodies (NAbs), which were also effective to RBD mutations. CoVac501 was found to elicit the increase of memory T cells, antigen-specific CD8+ T cell responses and Th1-biased CD4+ T cell immune responses in NHPs. More importantly, the sera from the immunized NHPs can prevent infection of live SARS-CoV-2 in vitro. One-Sentence SummaryA novel SARS-CoV-2 vaccine we developed, CoVac501, which is a fully chemically synthesized and self-adjuvanting peptides conjugated with TLR7 agonists, can induce high-efficient humoral and cellular immune responses against SARS-CoV-2.

immunology↗

bioRxiv2021

RNAi screening reveals requirement for PDGFRβ in JEV infection.

Mosquito-borne Japanese encephalitis virus (JEV) causes serious illness worldwide and is associated with high morbidity and mortality. To identify potential host therapeutic targets, a high-throughput receptor tyrosine kinase small interfering RNA library screening was performed with recombinant JEV particles. Platelet-derived growth factor receptor beta (PDGFR{beta}) was identified as a hit after two rounds of screening. Knockdown of PDGFR{beta} blocked JEV infection, and trans-complementation of PDGFR{beta} could partly restore its infectivity. The PDGFR{beta} inhibitor imatinib, which has been approved for the treatment of malignant metastatic cancer, protected mice against JEV-induced lethality by decreasing the viral load in the brain, while abrogating the histopathological changes associated with JEV infection. These findings demonstrated that PDGFR{beta} is important in viral infection and provided evidence for the potential to develop imatinib as a therapeutic intervention against JEV infection.

microbiology↗

bioRxiv2020

Functional Characterization of a Lassa Virus Fusion Inhibitors Adaptive Mutant

Lassa virus (LASV) glycoprotein complex (GPC) contains retained stable-signal peptide (SSP), GP1, and GP2. SSP interacts with GP2 and provides an interface targeted by numerous fusion inhibitors. Serially passaging of LASV with inhibitors allowed some adaptive mutants to be obtained of which most had mutations located in the transmembrane (TM) domain of GP2. In the current study, we focused on the F446L mutant, which is reported to confer resistance to ST-series inhibitors. We found that F446L conferred cross-resistance to structurally distinct inhibitors. Furthermore, F446L increased the fusion activities of LASV and Mopeia virus GPC, elevating the pH threshold for fusion of LASV and promoting fusion of MOPV at neutral pH. F446L exerted little effect on the pseudotype viral growth profile or thermostability. By introducing other residues to the conserved F446 locus, it was found that this site was less compatible with a similar tyrosine residue and was intolerable to charged residues. These results help characterize the fusion inhibitor target located in the TM domain of GP2, which should be useful for drug and vaccine design. IMPORTANCEThe LASV SSP-GP2 interface provides an Achilles heel that is targeted by numerous inhibitors. However, the emergence of resistant viruses is a major concern for direct antiviral drugs. In this study, we investigated the F446L mutant located in the GPC TM domain to determine the relationship between drug resistance, membrane fusion activity, viral growth kinetics, and thermostability. These results will be helpful in monitoring drug-resistant variants, as well as the advancement of drug and vaccine design.

microbiology↗

bioRxiv2020

Mechanism through which retrocyclin targets flavivirus multiplication

Currently, there are no approved drugs for the treatment of flavivirus infection. Accordingly, we tested the inhibitory effects of the novel {theta}-defensin retrocyclin-101 (RC-101) against flavivirus infection, and investigated the mechanism underlying the potential inhibitory effects. First, RC-101 robustly inhibited both Japanese encephalitis virus (JEV) and Zika virus (ZIKV) infections. RC-101 exerted inhibitory effects on the entry and replication stages. Results also indicated that the non-structural protein NS2B-NS3 serine protease might serve as a potential viral target. Further, RC-101 inhibited protease activity at the micromolar level. We also demonstrated that with respect to the glycoprotein E protein of flavivirus, the DE loop of domain III, which is the receptor-binding domain of the E protein, might serve as another viral target of RC-101. Moreover, a JEV DE mutant exhibited resistance to RC-101, which was associated with deceased binding affinity of RC-101 to DIII. These findings provide a basis for the development of RC-101 as a potential candidate for the treatment of flavivirus infection. ImportanceRC has been reported to have a broad-spectrum antimicrobial activity. In this study, we firstly report that RC-101 could inhibit ZIKV and JEV infections. Moreover, both the NS2B-NS3 serine protease and the DE loop in the E glycoprotein might serve as the viral targets of RC-101.

microbiology↗

bioRxiv2020

HiddenVis: a Hidden State Visualization Toolkit to Visualize and Interpret Deep Learning Models for Time Series Data

Accelerometers provide continuous measurements of human movements. Utilizing their data exhibits great potential for monitoring or predicting human health outcomes. In this direction, researchers are active in developing machine-learning algorithms. However, compared to understanding deep learning models, visualizing and interpreting such models is equally important but has been less well-developed. To address these limitations, we constructed an online software tool to visualize the hidden states inferred from the deep learning models and to compare different cohorts based on outcome-associated temporal profiles. We demonstrated the utility of the model using the National Health and Nutrition Examination Survey (NHANES) dataset. Using this tool, we discovered that two time periods of daily activity contribute to significant differences in 5-year mortalities. To disseminate the software to the broader community for the analysis of accelerometer data, we provide the work as open-source code at https://github.com/jyan97/HiddenVis.

bioinformatics↗

bioRxiv2020

Tuning electrical stimulation of the cervical vagus nerve for abdominal signaling while reducing cardiovascular side effects

Electrical vagus nerve stimulation (VNS) has the potential to treat a wide variety of diseases by modulating afferent and efferent communication to the heart, lungs, esophagus, stomach, and intestines. Although distal vagal nerve branches, close to end organs, could provide a selective therapeutic approach, these locations are often surgically inaccessible. In contrast, the cervical vagus nerve has been targeted for decades using surgically implantable cuff electrodes to treat epileptic seizures and depression; however, to date, clinical implementation of VNS has relied on an electrode with contacts that fully wrap around the nerve, producing non-selective activation of the entire nerve. Here we demonstrate selective cervical VNS using cuff electrodes with multiple contacts around the nerve circumference to target different functional pathways. These flexible probes were adjusted to the diameter of the nerve using an adhesive hydrogel wrap to create a robust electrode interface. Our approach was verified in a rat model by demonstrating that cervical VNS produces neural activity in the abdominal vagus nerve while limiting effects on the cardiovascular system (i.e., changes in heart rate or blood pressure). This study demonstrates the potential for selective cervical VNS as a therapeutic approach for modulating distal nerve branches while reducing off target effects. This methodology could potentially be refined to treat gastrointestinal, metabolic, inflammatory, cardiovascular, and respiratory diseases amenable to vagal neuromodulatory control.

neuroscience↗