Biology subjects

Sun, W.

Publications and source records attributed to Sun, W..

At least 235 records · Page 13Linked to original sources

bioRxiv2021

Impact of Propionic Acidemia on Brain Astrocytes

Propionic acidemia (PA) is an inborn error of metabolism (IEM) caused by mutations in the enzyme propionyl CoA carboxylase (PCC). It is characterized by the inability to break down branched chain amino acids and odd chain fatty acids, causing a buildup of toxic organic acids in blood. PA affects every organ in the body with particularly severe manifestations in the brain, like hyperammonemia, hypomyelination, seizures, cognitive impairments, optic nerve atrophy and autism spectrum disorders. Dietary management and liver transplantation have helped to ameliorate the acute expression of the disorder, but do not prevent the chronic toxicity that builds up in brain. Despite the severe brain manifestation of the disease, little is known about the mechanisms by which PA affects the nervous system. PCCA and PCCB, the two subunits required for a functional PCC enzyme, are both expressed not only in neurons but also in astrocytes. Using the two rodent genetic models of PA currently available, with mutations in PCCA, we have evaluated the involvement of astrocytes in the neuropathology of propionic acidemia. These mice exhibit cardiac pathology and hyperammonemia, similar to what is observed in patients with PA. We found that wild type (wt) astrocytes positively respond to treatment with L-Carnitine, a therapeutic approach commonly used in patients with PA, by improved survival and more efficient mitochondrial morphology. Transcriptome analysis from astrocytes derived from the wt or the mutant mice confirm that these astrocytes lack exons 3 and 4 like in the human mutations of PA. However, no other genes/exons were statistically significant with regards to differential expression between astrocytes derived from KO or from WT animals, suggesting that astrocytes in culture may be able to compensate the PCC deficiency. Histological analysis of neuronal and glial markers during brain development (TUJ1, MAP2 for neurons; nestin and Iba1 for glia) do not show significant alterations neither in distribution nor numbers of cells in the developing brain of the PCCA-/- mice. Analysis in the adult brain of mutant mice shows some variable degree of microgliosis but no indication of reactive astrocytes. No gross abnormalities were observed in cortex, hippocampus, striatum or cerebellum of adult brains of PCCA-/- mice, either. In summary, astrocytes from PCCA deficient mice show surprisingly little alterations both in vitro and in vivo. Our results evidence the need to further understand the effects of PA in brain cells to help develop potential new therapies that can preserve brain function in children affected by this devastating disease. HIGHLIGHTSO_LIAstrocytes detoxify ammonia in brain and may be affected by propionic acidemia, a disorder that causes hyperammonemia in brain. C_LIO_LIRNA seq of astrocytes in culture derived from PCCA mutant mice does not show effect in these cells. C_LIO_LIIn vivo analysis of glial and neuronal cells also shows no difference in development or adult mutant mice C_LIO_LIAstrocytes may not be an adequate target of clinical therapies in this disorder C_LI

neuroscience↗

bioRxiv2021

Single Cell Biological Microlasers Powered by Deep Learning

Cellular lasers are cutting-edge technologies for biomedical applications. Due to the enhanced interactions between light and cells in microcavities, cellular properties and subtle changes of cells can be significantly reflected by the laser emission characteristics. In particular, transverse laser modes from single-cell lasers which utilize Fabry-Perot cavities are highly correlated to the spatial biophysical properties of cells. However, the high chaotic and complex variation of laser modes limits their practical applications for cell detections. Deep learning technique has demonstrated its powerful capability in solving complex imaging problems, which is expected to be applied for cell detections based on laser mode imaging. In this study, deep learning technique was applied to analyze laser modes generated from single-cell lasers, in which a correlation between laser modes and physical properties of cells was built. As a proof-of-concept, we demonstrated the predictions of cell sizes using deep learning based on laser mode imaging. In the first part, bioinspired cell models were fabricated to systematically study how cell sizes affect the characteristics of laser modes. By training a convolutional neuron network (CNN) model with laser mode images, predictions of cell model diameters with a sub-wavelength accuracy were achieved. In the second part, deep learning was employed to study laser modes generated from biological cells. By training a CNN model with laser mode images acquired from astrocyte cells, predictions of cell sizes with a sub-wavelength accuracy were also achieved. The results show the great potential of laser mode imaging integrated with deep learning for cell analysis and biophysical studies.

biophysics↗

bioRxiv2020

Precision mapping of the mouse brain metabolome

Metabolism is physiologically fundamental to a biological system. Understanding brain metabolism is critical for our comprehensive knowledge of brain function in health and disease. Combining a microarray collection system with targeted metabolomics analysis, here we performed precision mapping of the metabolome in the mouse brain and created maps for 79 metabolites with a resolution of 0.125mm3 per pixel (i.e., brain subregion). The metabolome atlas provides researchers with a useful resource to interpret the vulnerability of specific brain regions to various disease-relevant metabolic perturbations.

neuroscience↗

bioRxiv2020

Exosomal miR-224 contributes to hemolymph microbiota homeostasis during bacterial infection in crustacean

The modulation of hemolymph microbiota homeostasis is vital for the marine invertebrate innate immunity, while growing evidence shows that exosomes could serves as anti-bacterial immune factors, however, the relationship between exosomes and hemolymph microbiota homeostasis during pathogenic bacteria infection has not been addressed. Here, we determined that exosomes released from Vibrio parahaemolyticus-infected Scylla paramamosain (mud crabs) could reduce the mortality of the host during the infection by maintaining the homeostasis of hemolymph microbiota. We further confirmed that miR-224 was densely packaged in these exosomes and targeting to HSP70, which resulted in disruption of the HSP70-TRAF6 complex to release TRAF6 that allows it to interact with Ecsit. The interaction of TRAF6 with Ecsit regulates the production of mitochondrial ROS (mROS) and Anti-lipopolysaccharide factors (ALFs) expression in recipient hemocytes, which affects homeostasis of hemolymph microbiota in response to the pathogenic bacteria infection in mud crab. To the best of our knowledge, this is the first document that reports the role of exosome in the homeostasis of hemolymph microbiota during pathogen infection and a novel regulatory mechanism and crosstalk between exosomal miRNAs and innate immune response in crustaceans. Author summaryExosomes are small membrane vesicles of endocytic origin which are widely involved in the regulation of a variety of pathological processes in mammals. Yet, although the antibacterial function of exosomes has been discovered for many years, the relationship between exosomes and hemolymph microbiota homeostasis remains unknown. In the present study, we identified the miRNAs packaged by exosomes that were possibly involved in Vibrio parahaemolyticus infection by modulating hemolymph microbiota homeostasis in crustacean mud crab Scylla paramamosain. Moreover, it was found that miR-224 was densely packaged in exosomes after Vibrio parahaemolyticus challenge, resulting in the suppression of HSP70 and disruption of the HSP70-TRAF6 complex in recipient hemocytes, then the released TRAF6 was further interacted with Ecsit to regulate ROS and ALFs levels, which eventually affected hemolymph microbiota homeostasis to cope with pathogenic bacteria infection. Our finding is the first to reveal the relationship between exosomes and hemolymph microbiota homeostasis in animals, which shows a novel molecular mechanism of invertebrate resistance to pathogenic microbial infection.

immunology↗

bioRxiv2020

Paracrine interactions between epithelial cells promote colon cancer growth

Tumours are complex ecosystems composed of different types of cells that communicate and influence each other. While the critical role of stromal cells in affecting tumour growth is well established, the impact of mutant cancer cells on healthy surrounding tissues remains poorly defined. Here, we uncovered a paracrine mechanism by which intestinal cancer cells reactivate foetal and regenerative Yap-associated transcriptional programs in neighbouring wildtype epithelial cells, rendering them adapted to thrive in the tumour context. We identified the glycoprotein Thrombospondin-1 (THBS1) as the essential factor that mediates non-cell autonomous morphological and transcriptional responses. Importantly, Thbs1 is associated with bad prognosis in several human cancers. This study reveals the THBS1-YAP axis as the mechanistic link mediating paracrine interactions between epithelial cells in intestinal tumours.

cancer biology↗

bioRxiv2020

Human spinal cord organoids exhibiting neural tube morphogenesis for a quantifiable drug screening system of neural tube defects

The human spinal cord forms well-organized neural circuits for environment sensing and motor behavior. The three-dimensional (3D) induction of the spinal cord-like tissue from human pluripotent stem cells has been reported, but they often do not mimic morphological features of neurulation and their maturity is limited. Here, we report an advanced 3D culture system for the production of human spinal cord-like organoids (hSCOs) suitable for the scale-up and quantitative studies. The hSCOs exhibited many aspects of spinal cord development, including neurulation-like tube-forming morphogenesis, differentiation of the major spinal cord neurons and glial cells, and mature synaptic functional activities. We further demonstrated that hSCOs platform allowed quantitative and systematic high-throughput examination of the potential risk of neural tube defects induced by antiepileptic drugs. Thus, hSCOs can be used for understanding human spinal cord development, disease modeling, and toxicology screening.

cell biology↗

bioRxiv2020

An adaptive optics module for deep tissue multiphoton imaging in vivo

Understanding complex biological systems requires visualizing structures and processes deep within living organisms. We developed a compact adaptive optics module and incorporated it into two- and three-photon fluorescence microscopes, to measure and correct tissue-induced aberrations. We resolved synaptic structures in deep cortical and subcortical areas of the mouse brain, and demonstrated high-resolution imaging of neuronal structures and somatosensory-evoked calcium responses in the mouse spinal cord at unprecedented depths in vivo.

bioengineering↗

bioRxiv2020

Template-independent genome editing and repairing correct frameshift disease in vivo

Frameshift mutation caused by small insertions/deletions (indels) often generate truncated and non-functional proteins, which underlies 22% inherited Mendelian disorders in humans. However, there is no efficient in vivo gene therapy strategies available to date, especially in postmitotic systems. Here, we leveraged the non-homologous end joining (NHEJ) mediated non-random editing profiles to compensate the frameshift mutation in a USH1F mouse model - av3j. After treatment by the selected gRNA, about 50% editing products showed reading-frame restoration, and more than 70% targeted hair cells recovered mechanotransduction. In vivo treatment ameliorated the hearing and balance symptoms in homozygous mutant mice. Furthermore, a scale-up analysis of 114 gRNAs targeting 40 frameshift deafness mutations reveals that 65% loci have at least one gRNA with predicted therapeutic potential. Together, our study demonstrates that the NHEJ-mediated frame restoration is a simple and highly efficient therapeutic strategy for small-indel induced frameshift mutations.

neuroscience↗

bioRxiv2020

Characterization of LC-MS based urine metabolomics in healthy subjects across the life span

Previous studies reported that gender and age could influence urine metabolomics, which should be considered in biomarker discovery. As a consequence, for the baseline of urine metabolomics characteristics, it becomes critical to avoid confounding effects in clinical cohort studies. In this study, we provided a comprehensive lifespan characterization of urine metabolomics in a cohort of 348 healthy children and 315 adults aged 1 to 70 years using liquid chromatography coupled with high resolution mass spectrometry. Our results suggested that gender-dependent urine metabolites are much greater in adults than in children. The pantothenate and CoA biosynthesis and alanine metabolism pathways were enriched in early life. Androgen and estrogen metabolism showed high activity during adolescence and youth stages. Pyrimidine metabolism was enriched in the old stage. Based on the above analysis, metabolomic characteristics of each age stage were provided. This work could help us understand the baseline of urine metabolism characteristics and contribute to further studies of clinical disease biomarker discovery.

biochemistry↗

bioRxiv2020

Large-scale single-cell analysis reveals critical immune characteristics of COVID-19 patients

Dysfunctional immune response in the COVID-19 patients is a recurrent theme impacting symptoms and mortality, yet the detailed understanding of pertinent immune cells is not complete. We applied single-cell RNA sequencing to 284 samples from 205 COVID-19 patients and controls to create a comprehensive immune landscape. Lymphopenia and active T and B cell responses were found to coexist and associated with age, sex and their interactions with COVID-19. Diverse epithelial and immune cell types were observed to be virus-positive and showed dramatic transcriptomic changes. Elevation of ANXA1 and S100A9 in virus-positive squamous epithelial cells may enable the initiation of neutrophil and macrophage responses via the ANXA1-FPR1 and S100A8/9-TLR4 axes. Systemic upregulation of S100A8/A9, mainly by megakaryocytes and monocytes in the peripheral blood, may contribute to the cytokine storms frequently observed in severe patients. Our data provide a rich resource for understanding the pathogenesis and designing effective therapeutic strategies for COVID-19. HIGHLIGHTSO_LILarge-scale scRNA-seq analysis depicts the immune landscape of COVID-19 C_LIO_LILymphopenia and active T and B cell responses coexist and are shaped by age and sex C_LIO_LISARS-CoV-2 infects diverse epithelial and immune cells, inducing distinct responses C_LIO_LICytokine storms with systemic S100A8/A9 are associated with COVID-19 severity C_LI

genomics↗

bioRxiv2020

Piezo2 mediates ultrasonic hearing via cochlear outer hair cells in mice

Ultrasonic hearing is exploited for hunting and navigation as in echolocation by microbats and bottleneck dolphins, and for social communication like ultrasonic vocalization by mice and rats. However, the molecular and cellular basis for ultrasonic hearing is not known yet. Here we show that knockout of the mechanosensitive ion channel PIEZO2 in cochlea disrupts the ultrasonic hearing but not the low-frequency hearing in mice, as shown by audiometry and acoustically-associative freezing behavior. Deletion of Piezo2 in the outer hair cells specifically abolishes the associative learning of the mice upon hearing the ultrasonic frequency. Ex vivo cochlear Ca2+ imaging revealed that the ultrasonic transduction requires both PIEZO2 and the hair-cell mechanotransduction channel. Together, our study demonstrates that the outer hair cells are the effector cells with PIEZO2 as an essential molecule for ultrasonic hearing in mice. Significance StatementSome animals have evolved an incredible ability for vocalizing and hearing ultrasonic frequencies that is inaudible for humans (> 20 kHz). For many years, it has been considered that animals hear ultrasonic frequencies with their cochlear hair cells, using the identical set of mechanotransduction molecules in the hair bundles for hearing audible frequencies. Here, we show that the mice lacking the mechanosensitive ion channel PIEZO2 hardly hear ultrasonic frequencies, while can still be sensitive to audible frequencies. Thus, animals may use a partially different mechanism for sensing physiological ultrasound.

neuroscience↗

bioRxiv2020

DUBStepR: correlation-based feature selection for clustering single-cell RNA sequencing data

Feature selection (marker gene selection) is widely believed to improve clustering accuracy, and is thus a key component of single cell clustering pipelines. However, we found that the performance of existing feature selection methods was inconsistent across benchmark datasets, and occasionally even worse than without feature selection. Moreover, existing methods ignored information contained in gene-gene correlations. We therefore developed DUBStepR (Determining the Underlying Basis using Stepwise Regression), a feature selection algorithm that leverages gene-gene correlations with a novel measure of inhomogeneity in feature space, termed the Density Index (DI). Despite selecting a relatively small number of genes, DUBStepR substantially outperformed existing single-cell feature selection methods across diverse clustering benchmarks. In a published scRNA-seq dataset from sorted monocytes, DUBStepR sensitively detected a rare and previously invisible population of contaminating basophils. DUBStepR is scalable to over a million cells, and can be straightforwardly applied to other data types such as single-cell ATAC-seq. We propose DUBStepR as a general-purpose feature selection solution for accurately clustering single-cell data.

bioinformatics↗

bioRxiv2020

A Probabilistic and Anisotropic Failure Metric for Ascending Thoracic Aortic Aneurysm Risk Stratification

Experimental studies have shown that aortic wall tensile strengths in circumferential and longitudinal directions are different (i.e., anisotropic), and vary significantly among patients with aortic aneurysm. To assess aneurysm rupture and dissection risk, material failure metric of the aortic wall needs to be accurately defined and determined. Previously such risk assessment methods have largely relied on deterministic or isotropic failure metric. In this study, we develop a novel probabilistic and anisotropic failure metric for risk stratification of ascending thoracic aortic aneurysm (ATAA). To this end, uniaxial tensile tests were performed using aortic tissue samples of 84 ATAA patients, from which a joint probability distribution of the anisotropic wall strengths was obtained. Next, the anisotropic failure probability (FP) based on the Tsai-Hill (TH) failure criterion was derived. The novel FP metric, which incorporates uncertainty in the anisotropic failure properties, can be evaluated after the aortic wall stresses are computed from patient-specific biomechanical analysis. For method validation, "ground-truth" risks of additional 41 ATAA patients were numerically-reconstructed using corresponding CT images and tissue testing data. Performance of different risk stratification methods (e.g., with and without patient-specific hyperelastic properties) was compared using p-value and receiver operating characteristic (ROC) curve. The results show that: (1) the probabilistic FP metric outperforms the deterministic TH metric; and (2) patient-specific hyperelastic properties can help to improve the performance of probabilistic FP metric in ATAA risk stratification.

bioengineering↗

bioRxiv2020

SpRY greatly expands the genome editing scope in rice with highly flexible PAM recognition

Plant genome engineering mediated by various CRISPR-based tools requires specific protospacer adjacent motifs (PAMs), such as the well-performed NGG, NG, NNG, etc., to initiate the target recognition, which notably restricts the editable range of the plant genome. In this study, we thoroughly investigated the nuclease activity and the PAM preference of two structurally-engineered SpCas9 variants (SpG and SpRY) in transgenic rice. Our study shows that SpG nuclease favors NGD PAMs, albeit less efficiently than the previously described SpCas9-NG and that SpRY nuclease achieves efficient editing across a wide range of genomic loci, exhibiting a preference of NGD as well as NAN PAMs. Furthermore, SpRY-fused cytidine deaminase hAID*{Delta} and adenosine deaminase TadA8e were generated, respectively. These constructs efficiently induced C-to-T and A-to-G conversions in the target genes toward various non-canonical PAMs, including non-G PAMs. Remarkably, high-frequency self-editing events (indels and DNA fragments deletion) in the integrated T-DNA fragments as a result of the nuclease activity of SpRY were observed, whereas the self-editing of SpRY nickase-mediated base editor was quite low in transgenic rice lines. In conclusion, the broad PAM compatibility of SpRY greatly expands the targeting scope of CRISPR-based tools in plant genome engineering.

plant biology↗

bioRxiv2020

Evaluation method of ecosystem service value under complex ecological environment: A case study of Gansu Province, China

Scientific assessment of regional ecosystem service value (ESV) is helpful to make scientific ecological protection plan and compensation policy. The evaluation method has not been established that is adapted to the complex and diverse characteristics of the ecological environment. This paper takes Gansu Province as an example, on the basis of fully considering the regional differences of ecosystem service function, the five correction index of value equivalent factor per unit area were constructed in the provincial scale, and the regional difference adjustment index of 11 kinds of ES was constructed in regional scale, in the way, the value evaluation model based on regional difference was established. The results show that in 2015, the total ESV reached 2239.555 billion Yuan in Gansu Province, ESV gradually increased from the northeast to the southwest, and the high-value areas of service function located in Qilian Mountain and Longnan Mountain, of which the forest and grassland ecosystem contributed the most to the value. From the perspective of value composition, local climate regulation and biodiversity maintenance function are the main service functions of Gansu Province. From 2000 to 2015, ESV increased by 3.426 billion Yuan in Gansu Province, the value of forest and urban ecosystem continued increasing, while the value of cultivated land ecosystem continue decreasing. From the spatial characteristics of service value change, the area of value reduction gradually moved from the central part of Gansu Province to the surrounding area. In general, although this study needs further improvement, the constructed evaluation method provides a relatively comprehensive evaluation scheme for the spatiotemporal dynamic evaluation of ESV in Gansu Province. This study provided a more overall research idea for the evaluation of ESV under complex ecological environment.

ecology↗

bioRxiv2020

Reduction of neuronal activity mediated by blood-vessel regression in the brain

The brain vasculature supplies neurons with glucose and oxygen, but little is known about how vascular plasticity contributes to brain function. Using longitudinal in vivo imaging, we reported that a substantial proportion of blood vessels in the adult brain sporadically occluded and regressed. Their regression proceeded through sequential stages of blood-flow occlusion, endothelial cell collapse, relocation or loss of pericytes, and retraction of glial endfeet. Regressing vessels were found to be widespread in mouse, monkey and human brains. Both brief occlusions of the middle cerebral artery and lipopolysaccharide-mediated inflammation induced an increase of vessel regression. Blockage of leukocyte adhesion to endothelial cells alleviated LPS-induced vessel regression. We further revealed that blood vessel regression caused a reduction of neuronal activity due to a dysfunction in mitochondrial metabolism and glutamate production. Our results elucidate the mechanism of vessel regression and its role in neuronal function in the adult brain.

neuroscience↗

bioRxiv2020

The discovery of gene mutations making SARS-CoV-2 well adapted for humans: host-genome similarity analysis of 2594 genomes from China, the USA and Europe

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a positive-sense single-stranded virus approximately 30 kb in length, causes the ongoing novel coronavirus disease-2019 (COVID-19). Studies confirmed significant genome differences between SARS-CoV-2 and SARS-CoV, suggesting that the distinctions in pathogenicity might be related to genomic diversity. However, the relationship between genomic differences and SARS-CoV-2 fitness has not been fully explained, especially for open reading frame (ORF)-encoded accessory proteins. RNA viruses have a high mutation rate, but how SARS-CoV-2 mutations accelerate adaptation is not clear. This study shows that the host-genome similarity (HGS) of SARS-CoV-2 is significantly higher than that of SARS-CoV, especially in the ORF6 and ORF8 genes encoding proteins antagonizing innate immunity in vivo. A power law relationship was discovered between the HGS of ORF3b, ORF6, and N and the expression of interferon (IFN)-sensitive response element (ISRE)-containing promoters. This finding implies that high HGS of SARS-CoV-2 genome may further inhibit IFN I synthesis and cause delayed host innate immunity. An ORF1ab mutation, 10818G>T, which occurred in virus populations with high HGS but rarely in low-HGS populations, was identified in 2594 genomes with geolocations of China, the USA and Europe. The 10818G>T caused the amino acid mutation M37F in the transmembrane protein nsp6. The results suggest that the ORF6 and ORF8 genes and the mutation M37F may play important roles in causing COVID-19. The findings demonstrate that HGS analysis is a promising way to identify important genes and mutations in adaptive strains, which may help in searching potential targets for pharmaceutical agents.

microbiology↗

bioRxiv2020

A Newcastle disease virus (NDV) expressing membrane-anchored spike as a cost-effective inactivated SARS-CoV-2 vaccine

A successful SARS-CoV-2 vaccine must be not only safe and protective but must also meet the demand on a global scale at low cost. Using the current influenza virus vaccine production capacity to manufacture an egg-based inactivated Newcastle disease virus (NDV)/SARS-CoV-2 vaccine would meet that challenge. Here, we report pre-clinical evaluations of an inactivated NDV chimera stably expressing the membrane-anchored form of the spike (NDV-S) as a potent COVID-19 vaccine in mice and hamsters. The inactivated NDV-S vaccine was immunogenic, inducing strong binding and/or neutralizing antibodies in both animal models. More importantly, the inactivated NDV-S vaccine protected animals from SARS-CoV-2 infections or significantly attenuated SARS-CoV-2 induced disease. In the presence of an adjuvant, antigen-sparing could be achieved, which would further reduce the cost while maintaining the protective efficacy of the vaccine.

microbiology↗