Biology subjects

Zhao, Z.

Publications and source records attributed to Zhao, Z..

At least 433 records · Page 24Linked to original sources

bioRxiv2020

CTCF-binding element regulates ESC differentiation via orchestrating long-range chromatin interaction between enhancers and HoxA

Proper expressions of Homeobox A cluster genes (HoxA) are essential for embryonic stem cells (ESC) differentiation and individual development. However, the mechanisms underlying controlling precise spatiotemporal expressions of HoxA during early ESC differentiation remain poorly understood. Herein, we identified a functional CTCF-binding element (CBE+47) closest to the 3-end of HoxA within the same topologically associated domain (TAD) in ESC. CRISPR-Cas9 mediated the CBE+47 deletion significantly promotes retinoic acid (RA)-induced HoxA expression and early ESC abnormal differentiation. In delineating its underlying mechanisms, we find that CBE+47 can precisely organize chromatin interactions between its adjacent enhancers and HoxA by using chromosome conformation capture assay (Capture-C). Furthermore, we also find that its adjacent enhancers as enhancer-enhancer interaction complex (EEIC) are required for RA-induced HoxA activation. Collectively, these results provide a new insight for RA-induced HoxA expression, also highlight the unique and precise regulatory roles of CBE in ESC differentiation.

developmental biology↗

bioRxiv2020

Learning, Visualizing and Exploring 16S rRNA Structure Using an Attention-based Deep Neural Network

Recurrent neural networks (RNNs) with memory (e.g. LSTMs) and attention mechanisms are widely used in natural language processing because they can capture short and long term sequential information for diverse tasks. We propose an integrated deep learning model for microbial DNA sequence data, which exploits convolutional networks, recurrent neural networks, and attention mechanisms to perform sample-associated attribute prediction--phenotype prediction--and extract interesting features, such as informative taxa and predictive k-mer context. In this paper, we develop this novel deep learning approach and evaluate its application to amplicon sequences. We focus on typically short DNA reads of 16s ribosomal RNA (rRNA) marker genes, which identify the heterogeneity of a microbial community sample. Our deep learning approach enables sample-level attribute and taxonomic prediction, with the aim of aiding biological research and supporting medical diagnosis. We demonstrate that our implementation of a novel attention-based deep network architecture, Read2Pheno, achieves read-level phenotypic prediction and, in turn, that aggregating read-level information can robustly predict microbial community properties, host phenotype, and taxonomic classification, with performance comparable to conventional approaches. Most importantly, as a further result of the training process, the network architecture will encode sequences (reads) into dense, meaningful representations: learned embedded vectors output on the intermediate layer of the network model, which can provide biological insight when visualized. Finally, we demonstrate that a model with an attention layer can automatically identify informative regions in sequences/reads which are particularly informative for classification tasks. An implementation of the attention-based deep learning network is available at https://github.com/EESI/sequence_attention.

bioinformatics↗

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

Estimating genetic nurture with summary statistics of multi-generational genome-wide association studies

Marginal effect estimates in genome-wide association studies (GWAS) are mixtures of direct and indirect genetic effects. Existing methods to dissect these effects require family-based, individual-level genetic and phenotypic data with large samples, which is difficult to obtain in practice. Here, we propose a novel statistical framework to estimate direct and indirect genetic effects using summary statistics from GWAS conducted on own and offspring phenotypes. Applied to birth weight, our method showed nearly identical results with those obtained using individual-level data. We also decomposed direct and indirect genetic effects of educational attainment (EA), which showed distinct patterns of genetic correlations with 45 complex traits. The known genetic correlations between EA and higher height, lower BMI, less active smoking behavior, and better health outcomes were mostly explained by the indirect genetic component of EA. In contrast, the consistently identified genetic correlation of autism spectrum disorder (ASD) with higher EA resides in the direct genetic component. Polygenic transmission disequilibrium test showed a significant over-transmission of the direct component of EA from healthy parents to ASD probands. Taken together, we demonstrate that traditional GWAS approaches, in conjunction with offspring phenotypic data collection in existing cohorts, could greatly benefit studies on genetic nurture and shed important light on the interpretation of genetic associations for human complex traits.

genetics↗

bioRxiv2020

Polo-like kinase 1 independently controls microtubule-nucleating capacity and size of the centrosome

Centrosomes are composed of a centriolar core surrounded by a pericentriolar material (PCM) matrix that docks microtubule-nucleating {gamma}-tubulin complexes. During mitotic entry, the PCM matrix increases in size and nucleating capacity in a process called centrosome maturation. Polo-like kinase 1 (PLK1) localizes to centrosomes and phosphorylates PCM matrix proteins to drive their self-assembly, which leads to PCM expansion; this expansion has been assumed to passively increase microtubule nucleation to support spindle assembly. Here, we show that PLK1 directly controls the generation of binding sites for {gamma}-tubulin complexes on the PCM matrix, independently of PCM expansion. Selective inhibition of PLK1-dependent {gamma}-tubulin docking leads to spindle defects and impaired chromosome segregation, without affecting PCM expansion, highlighting the importance of phospho-regulated centrosomal {gamma}-tubulin docking sites in spindle assembly. Inhibiting both {gamma}-tubulin docking and PCM expansion by mutating substrate target sites fully accounts for the actions of PLK-1 in transforming the centrosome during mitotic entry. Summary StatementPolo-like kinase 1-mediated physical expansion of centrosomes during mitotic entry is proposed to passively increase their microtubule nucleating capacity. Ohta et al. show instead that generation of microtubule-nucleating sites is directly controlled by Polo-like kinase 1, independently of centrosome size.

cell biology↗

bioRxiv2020

Putamen volume predicts real-time fMRI neurofeedback learning success across paradigms and neurofeedback target regions

Real-time fMRI guided neurofeedback training has gained increasing interest as a non-invasive brain regulation technique with the potential to normalize functional brain alterations in therapeutic contexts. Individual variations in learning success and treatment response have been observed, yet the neural substrates underlying the learning of self-regulation remain unclear. Against this background, we explored potential brain structural predictors for learning success with pooled data from three real-time fMRI datasets. Our analysis revealed that gray matter volume of the right putamen could predict neurofeedback learning success across the three datasets (n = 66 in total). Importantly, the original studies employed different neurofeedback paradigms during which different brain regions were trained pointing to a general association with learning success independent of specific aspects of the experimental design. Given the role of the putamen in associative learning the finding may reflect an important role of instrumental learning processes and brain structural variations in associated brain regions for successful acquisition of fMRI neurofeedback-guided self-regulation.

neuroscience↗

bioRxiv2020

Effectively control of viral disease outbreak in shrimp culture system by selective predation

Due to the limited understanding of the characteristics of predator-pathogen-prey interactions, few attempts to use selective predation for controlling diseases in prey populations have been successful. The global pandemic of white spot syndrome (WSS), caused by white spot syndrome virus (WSSV), causes devastating economic losses in farmed shrimp production. Currently, there is no effective control for WSS. Here, we determined the transmission dynamics of WSSV and the feeding ability and selectivity of fish on healthy, infected and dead shrimp by experiments and mathematical modeling. Accordingly, we developed a novel and convenient shrimp cultural ecosystem, which that effectively prevented WSS outbreaks, by introducing aquaculture fish species. This provides a scheme for developing control strategies for viral diseases with high transmission rate.

ecology↗

bioRxiv2020

Response of gut microbiota to feed-borne bacteria depends on fish growth rate: a snapshot survey of farmed juvenile Takifugu obscurus

Understanding the ecological processes in controlling the assemblage of gut microbiota becomes an essential prerequisite for a more sustainable aquaculture. Here we used 16S rRNA amplicon sequencing to characterize the hindgut microbiota from cultured obscure puffer Takifugu obscurus. The gut microbiota is featured with lower alpha-diversity, greater beta-dispersion and higher average 16S rRNA copy numbers comparing to water and sediment, but far less so to feed. SourceTracker predicted a notable source signature from feed in gut microbiota. Furthermore, effect of varying degrees of feed-associated bacteria on compositional, functional and phylogenetic diversity of gut microbiota were revealed. Coincidently, considerable increase of species richness and feed source proportions both were observed in slow growth fugu, implying a reduced stability in gut microbiota upon bacterial disturbance from feed. Moreover, quantitative ecological analytic framework was applied and the ecological processes underlying such community shift were determined. In the context of lower degree of feed disturbance, homogeneous selection and dispersal limitation largely contribute to the community stability and partial variations among hosts. Whilst with the degree of feed disturbance increased, variable selection leads to an augmented interaction within gut microbiota, entailing community unstability and shift. Altogether, our findings illustrated a clear diversity-function relationships in fugu gut microbiota, and it has implicated in a strong correlation between feed-borne bacteria and host growth rate. These results provide a new insight into aquaculture of fugu and other economically important fishes, as well as a better understanding of host-microbe interactions in the vertebrate gastrointestinal tract. IMPORTANCEEnvironmental bacteria has a great impact on fish gut microbiota, yet little is known as to where fish acquire their gut symbionts, and how gut microbiota response to environmental bacteria. Through the integrative analysis by community profiling and source tracking, we show that feed-associated bacteria can impose a strong disturbance upon fugu gut microbiota. As a result, marked alterations in the composition and function of gut microbiota in slow growth fugu were observed, which is potentially correlated with the host physiological condition such as gastric evacuation rate. Our findings emphasized the intricate linkage between feed and gut microbiota, and highlighted the importance of resolving the feed source signal before the conclusion of comparative analysis of microbiota can be drawn. Our results provide a deeper insight into aquaculture of fugu and other economically important fishes, and have further implications for an improved understanding of host-microbe interactions in the vertebrate gastrointestinal tract.

microbiology↗

bioRxiv2020

Development of a pan-neuronal genetic driver in Aedes aegypti mosquitoes

The mosquito Aedes aegypti is the primary worldwide vector of arboviruses that infect humans, including dengue, Zika, chikungunya, and yellow fever. Recent advances in transgenic technology have yielded important new insight into the biology of this disease vector. The early development of neurogenetic tools, in particular, is beginning to shed light on the neural basis of behaviors that allow Ae. aegypti to thrive in human environments and find and bite human hosts. Despite these advances, a pan-neuronal expression driver remains elusive. Pan-neuronal drivers give researchers genetic access to all neurons and thus provide a critical entry point for circuit dissection. Here, we describe our efforts to generate pan-neuronal drivers in Ae. aegypti via targeted knock-in of in-frame reporter constructs to the native coding sequence of broadly expressed neural genes with CRISPR/Cas9. Two of five attempts were successful, resulting in a Syt1:GCaMP6s strain that expresses synaptically-localized GCaMP in all neurons and a brp-T2A-QF2w driver strain that can be used to drive and amplify expression of any effector in all neurons via the Q binary system. We show that both manipulations broadly and uniformly label the nervous system and have only mild effects on behavior. We envision that these strains will facilitate neurobiological research in Ae. aegypti mosquitoes and provide documentation of both successful and failed manipulations as a roadmap for similar tool development in other non-model species.

neuroscience↗

bioRxiv2020

Intracellular accumulation and secretion of hydrophobin-enriched vesicles aid the rapid sporulation of molds

Fungi can rapidly produce large amounts of spores suitable for aerial dispersal. The hydrophobicity of spores is provided by the unique amphiphilic and superior surface-active proteins - hydrophobins (HFBs) - that self-assemble at hydrophobic/hydrophilic interfaces and thus change surface properties. Using the HFB-enriched mold Trichoderma and the HFB-free yeast Pichia pastoris, we revealed a distinctive HFB secretory pathway that includes an intracellular accumulation of HFBs in lipid bodies (LBs) that can internalize in vacuoles. The resulting vacuolar multicisternal structures (VMS) are stabilized by HFB layers that line up on their surfaces. These HFB-enriched VMSs can move to the periplasm for secretion or become fused in large tonoplast-like organelles. The latter contributes to the maintenance of turgor pressure required for the erection of sporogenic structures and rapid HFB secretion by squeezing out periplasmic VMSs through the cell wall. Thus, HFBs are essential accessory proteins for the development of aerial hyphae and colony architecture.

microbiology↗

bioRxiv2020

Metabolomic profiling of rare cell populations isolated by flow cytometry from tissues

Little is known about the metabolic regulation of rare cell populations because most metabolites are hard to detect in small numbers of cells. We previously described a method for metabolomic profiling of flow cytometrically-isolated hematopoietic stem cells (HSCs) that detects approximately 60 metabolites in 10,000 cells (Agathocleous et al., 2017). Here we describe a new method involving hydrophilic liquid interaction chromatography (HILIC) and high-sensitivity orbitrap mass spectrometry that detected approximately 160 metabolites in 10,000 HSCs, including many more glycolytic and lipid intermediates. We improved chromatographic separation, increased mass resolution, minimized ion suppression, extracted with acetonitrile, and eliminated sample drying. Most metabolites did not significantly change during cell preparation and sorting. We used this method to profile HSCs and circulating melanoma cells. HSCs exhibited increased glycerophospholipid metabolites relative to unfractionated bone marrow cells and altered purine biosynthesis after methotrexate treatment in vivo. Circulating melanoma cells were depleted for purine intermediates relative to subcutaneous tumors, suggesting they decrease purine synthesis during metastasis. These methods facilitate the routine metabolomic analysis of rare cell populations from tissues. Impact statementWe developed a method for metabolomic analysis of small numbers of flow cytometrically isolated cells from rare cell populations such as hematopoietic stem cells and circulating cancer cells.

cell biology↗

bioRxiv2020

Characterization of extracellular vesicles and artificial nanoparticles with four orthogonal single-particle analysis platforms

We compared four orthogonal technologies for sizing, counting, and phenotyping of extracellular vesicles (EVs) and synthetic particles. The platforms were: single-particle interferometric reflectance imaging sensing (SP-IRIS) with fluorescence, nanoparticle tracking analysis (NTA) with fluorescence, microfluidic resistive pulse sensing (MRPS), and nanoflow cytometry measurement (NFCM). EVs from the human T lymphocyte line H9 (high CD81, low CD63) and the promonocytic line U937 (low CD81, high CD63) were separated from culture conditioned medium (CCM) by differential ultracentrifugation (dUC) or a combination of ultrafiltration (UF) and size exclusion chromatography (SEC) and characterized by transmission electron microscopy (TEM) and Western blot (WB). Mixtures of synthetic particles (silica and polystyrene spheres) with known sizes and/or concentrations were also tested. MRPS and NFCM returned similar particle counts, while NTA detected counts approximately one order of magnitude lower for EVs, but not for synthetic particles. SP-IRIS events could not be used to estimate particle concentrations. For sizing, SP-IRIS, MRPS, and NFCM returned similar size profiles, with smaller sizes predominating (per power law distribution), but with sensitivity typically dropping off below diameters of 60 nm. NTA detected a population of particles with a mode diameter greater than 100 nm. Additionally, SP-IRIS, MRPS, and NFCM were able to identify at least three of four distinct size populations in a mixture of silica or polystyrene nanoparticles. Finally, for tetraspanin phenotyping, the SP-IRIS platform in fluorescence mode was able to detect at least two markers on the same particle, while NFCM detected either CD81 or CD63. Based on the results of this study, we can draw conclusions about existing single-particle analysis capabilities that may be useful for EV biomarker development and mechanistic studies.

cell biology↗

bioRxiv2020

Detection of alternative splicing in western corn rootworm (Diabrotica virgifera virgifera LeConte) in association with Bt resistance using RNA-seq and PacBio Iso-Seq

BackgroundAlternative splicing is one of the major mechanisms that increases transcriptome diversity in eukaryotes, including insect species that have gained resistance to pesticides and Bt toxins. In western corn rootworm (Diabrotica virgifera virgifera LeConte), neither alternative splicing nor its role in resistance to Bt toxins has been studied. ResultsTo investigate the mechanisms of Bt resistance we carried out single-molecule real-time (SMRT) transcript sequencing and Iso-seq analysis on resistant, eCry3.1Ab-selected and susceptible, unselected, western corn rootworm neonate midguts which fed on seedling maize with and without eCry3.1Ab for 12 and 24 hours. We present transcriptome-wide alternative splicing patterns of western corn rootworm midgut in response to feeding on eCry3.1Ab-expressing corn using a comprehensive approach that combines both RNA-seq and SMRT transcript sequencing techniques. We found that 67.73% of multi-exon genes are alternatively spliced, which is consistent with the high transposable element content of the genome. One of the alternative splicing events we identified was a novel peritrophic matrix protein with two alternative splicing isoforms. Analysis of differential exon usage between resistant and susceptible colonies showed that in eCry3.1Ab-resistant western corn rootworm, expression of one isoform was significantly higher than in the susceptible colony, while no significant differences between colonies were observed with the other isoform. ConclusionOur results provide the first survey of alternative splicing in western corn rootworm and suggest that the observed alternatively spliced isoforms of peritrophic matrix protein may be associated with eCry3.1Ab resistance in western corn rootworm.

genomics↗

bioRxiv2020

A valid protective immune response elicited in rhesus macaques by an inactivated vaccine is capable of defending against SARS-CoV-2 infection

With the relatively serious global epidemic outbreak of SARS-CoV-2 infection, public concerns focus on not only clinical therapeutic measures and public quarantine for this disease but also the development of vaccines. The technical design of our SARS-CoV-2 inactivated vaccine provides a viral antigen that enables the exposure of more than one structural protein based upon the antibody composition of COVID-19 patients convalescent serum. This design led to valid immunity with increasing neutralizing antibody titers and a CTL response detected post-immunization of this vaccine by two injections in rhesus macaques. Further, this elicited immunoprotection in macaques enables not only to restrain completely viral replication in tissues of immunized animals, compared to the adjuvant control and those immunized by an RBD peptide vaccine, but also to significantly alleviate inflammatory lesion in lung tissues in histo-pathologic detection, compared to the adjuvant control with developed interstitial pneumonia. The data obtained from these macaques immunized with the inactivated vaccine or RBD peptide vaccine suggest that immunity with a clinically protective effect against SARS-CoV-2 infection should include not only specific neutralizing antibodies but also specific CTL responses against at least the S and N antigens.

immunology↗

bioRxiv2020

Quantitative proteomics reveals the protective effects of ESD against osteoarthritis via attenuating inflammation and modulating immune response

Epimedium, Salvia miltiorrhiza, and Dioscorea nipponica Makino (ESD) have been combined to treat osteoarthritis (OA) for a long time. In this study we used quantitative proteomics to find the protective effects of ESD against OA and possible mechanism. After papain-induced rats OA model established ESD was intragastrically administrated to rats for four weeks. Label-free quantitative proteomics was used to screen the comprehensive protein profiling changes in both OA and ESD groups. After stringent filtering, 62 proteins were found to be significantly up-regulated and 208 proteins were down-regulated in OA model compared with sham-operated control. Functional analysis revealed that these OA up-regulated proteins were enriched in the activation of humoral immunity response, complement activation, leukocyte mediated immunity, acute inflammatory, endocytosis regulation, and proteolysis regulation. ESD partially recovered the protein profiling changes in OA model. The effects of ESD were also assessed by measurement of behavioral activity and pathologic changes in the joints. ESD showed protective effects in suppressing inflammation, releasing joint pain, and attenuating cartilage degradation. Our study presented that ESD as a potential candidate to alleviate OA damage by reducing inflammation and modulating of immune system.

pharmacology and toxicology↗

bioRxiv2020

Super-elasticity of plasma- and synthetic membranes by coupling of membrane asymmetry and liquid-liquid phase separation

Biological cells are contained by a fluid lipid bilayer (plasma membrane, PM) that allows for large deformations, often exceeding 50% of the initial (or projected) PM area. Biochemically isolated lipids self-organize into membranes, but the extraordinary deformability of the plasma membrane is lost. Pure lipid bilayers are prone to rupture at small (<2-4%) area strains and this limits progress for synthetic reconstitution of cellular features such as migration, phagocytosis and division. Here, we show that by preserving PM structure and composition during isolation from cells, vesicles with cell-like elasticity are obtained. We found that these plasma membrane vesicles store significant area in the form of nanotubes in their lumen. These are recruited by mechanical tension applied to the outer vesicle membrane showing an apparent elastic response. This "super-elastic" response emerges from the interplay of lipid liquid-liquid phase separation and membrane asymmetry. This finding allows for bottom-up engineering of synthetic vesicles that appear over one magnitude softer and with three fold larger deformability than conventional lipid vesicles.

biophysics↗

bioRxiv2020

Single-cell analysis reveals the function of lung progenitor cells in COVID-19 patients

The high mortality of severe 2019 novel coronavirus disease (COVID-19) cases is mainly caused by acute respiratory distress syndrome (ARDS), which is characterized by increased permeability of the alveolar epithelial barriers, pulmonary edema and consequently inflammatory tissue damage. Some but not all patients showed full functional recovery after the devastating lung damage, and so far there is little knowledge about the lung repair process1. Here by analyzing the bronchoalveolar lavage fluid (BALF) of COVID-19 patients through single cell RNA-sequencing (scRNA-Seq), we found that in severe (or critical) cases, there is remarkable expansion of TM4SF1+ and KRT5+ lung progenitor cells. The two distinct populations of progenitor cells could play crucial roles in alveolar cell regeneration and epithelial barrier re-establishment, respectively. In order to understand the function of KRT5+ progenitors in vivo, we transplanted a single KRT5+ cell-derived cell population into damaged mouse lung. Time-course single-cell transcriptomic analysis showed that the transplanted KRT5+ progenitors could long-term engrafted into host lung and differentiate into HOPX+ OCLN+ alveolar barrier cell which restored the epithelial barrier and efficiently prevented inflammatory cell infiltration. Similar barrier cells were also identified in some COVID-19 patients with massive leukocyte infiltration. Altogether this work uncovered the mechanism that how various lung progenitor cells work in concert to prevent and replenish alveoli loss post severe SARS-CoV-2 infection.

bioinformatics↗

bioRxiv2020

Identification of potent and safe antiviral therapeutic candidates against SARS-CoV-2

COVID-19 pandemic has infected millions of people with mortality exceeding 300,000. There is an urgent need to find therapeutic agents that can help clear the virus to prevent the severe disease and death. Identifying effective and safer drugs can provide with more options to treat the COVID-19 infections either alone or in combination. Here we performed a high throughput screen of approximately 1700 US FDA approved compounds to identify novel therapeutic agents that can effectively inhibit replication of coronaviruses including SARS-CoV-2. Our two-step screen first used a human coronavirus strain OC43 to identify compounds with anti-coronaviral activities. The effective compounds were then screened for their effectiveness in inhibiting SARS-CoV-2. These screens have identified 24 anti-SARS-CoV-2 drugs including previously reported compounds such as hydroxychloroquine, amlodipine, arbidol hydrochloride, tilorone 2HCl, dronedarone hydrochloride, and merfloquine hydrochloride. Five of the newly identified drugs had a safety index (cytotoxic/effective concentration) of >600, indicating wide therapeutic window compared to hydroxychloroquine which had safety index of 22 in similar experiments. Mechanistically, five of the effective compounds were found to block SARS-CoV-2 S protein-mediated cell fusion. These FDA approved compounds can provide much needed therapeutic options that we urgently need in the midst of the pandemic.Competing Interest StatementThe authors have declared no competing interest.View Full Text

microbiology↗