Biology subjects

Zhou, Z.

Publications and source records attributed to Zhou, Z..

At least 469 records · Page 26Linked to original sources

bioRxiv2019

Transcriptome characterization analysis and molecular profiles of obligatory diapause induction of the Chinese citrus fruit fly, Bactrocera minax (Diptera: Tephritidae)

The Chinese citrus fruit fly, Bactrocera minax, is a devastating citrus pest in China, Bhutan and India. It will enter obligatory pupal diapause in each generation at specific stage, while little is known about the course and the molecular mechanisms of diapause induction. To gain insight into possible mechanisms of obligatory pupal diapause induction, high-throughput RNA-seq data were generated from second-instar larvae (2L), third-instar larvae (3L) and pupal (P, one week after pupating). A total of 116,402 unigenes were assembled and researched against public databases, and 54,781 unigenes matched to proteins in the NCBI database using the BLAST search. Three pairwise comparisons were performed, and significantly differentially regulated transcripts were identified. Several differentially expressed genes (DEGs) expression patterns revealed that those highly or lowly expressed genes in pupal stage were predicted to be involved in diapause induction. Moreover, GO function and KEGG pathway analysis were performed on all DEGs and showed that 20-hydroxyecdysone (20E) biosynthesis, insulin signaling pathway, FoxO signaling pathway, cell cycle and metabolism pathway may be related to the obligatory diapause of the Chinese citrus fruit fly. This study provides valuable information about the Chinese citrus fruit fly transcriptome for future gene function research, and contributes to the in-depth elucidation of the molecular regulation mechanism of insect obligatory diapause induction.

developmental biology↗

bioRxiv2019

Surface protein imputation from single cell transcriptomes by deep neural networks

While single cell RNA sequencing (scRNA-seq) is invaluable for studying cell populations, cell-surface proteins are often integral markers of cellular function and serve as primary targets for therapeutic intervention. Here we propose a transfer learning framework, single cell Transcriptome to Protein prediction with deep neural network (cTP-net), to impute surface protein abundances from scRNA-seq data by learning from existing single-cell multi-omic resources.

bioinformatics↗

bioRxiv2019

Divide and Conquer: Real-time maximum likelihood fitting of multiple emitters for super-resolution localization microscopy

Multi-emitter localization has great potential for maximizing the imaging speed of super-resolution localization microscopy. However, the slow image analysis speed of reported multi-emitter localization algorithms limits their usage in mostly off-line image processing with small image size. Here we adopt the well-known divide and conquer strategy in computer science and present a fitting-based method called QC-STORM for fast multi-emitter localization. Using simulated and experimental data, we verify that QC-STORM is capable of providing real-time full image processing on raw images with 100 {micro}m x 100 {micro}m field of view and 10 ms exposure time, with comparable spatial resolution as the popular fitting-based ThunderSTORM and the up-to-date non-iterative WindSTORM. This study pushes the development and practical use of super-resolution localization microscopy in high-throughput or high-content imaging of cell-to-cell differences or discovering rare events in a large cell population.

biophysics↗

bioRxiv2019

TeraVR Empowers Precise Reconstruction of Complete 3-D Neuronal Morphology in the Whole Brain

Neuron morphology is recognized as a key determinant of cell type, yet the quantitative profiling of a mammalian neurons complete three-dimensional (3-D) morphology remains arduous when the neuron has complex arborization and long projection. Whole-brain reconstruction of neuron morphology is even more challenging as it involves processing tens of teravoxels of imaging data. Validating such reconstructions is extremely laborious. We developed TeraVR, an open-source virtual reality annotation system, to address these challenges. TeraVR integrates immersive and collaborative 3-D visualization, interaction, and hierarchical streaming of teravoxel-scale images. Using TeraVR, we produced precise 3-D full morphology of long-projecting neurons in whole mouse brains and developed a collaborative workflow for highly accurate neuronal reconstruction.

neuroscience↗

bioRxiv2019

Leveraging Endogenous ADAR for Programmable Editing on RNA

Nucleic acid editing carries enormous potential for biological research and the development of therapeutics. Current tools for DNA or RNA editing rely on introducing exogenous proteins into living organisms, which is subject to potential risks or technical barriers due to possible aberrant effector activity, delivery limits and immunogenicity. Here, we report a programmable approach that employs a short RNA to leverage endogenous ADAR (Adenosine Deaminase Acting on RNA) proteins for targeted RNA editing. We engineered an RNA that is partially complementary to the target transcript to recruit native ADAR1 or ADAR2 to change adenosine to inosine at a specific site. We designated this new method as LEAPER (Leveraging Endogenous ADAR for Programmable Editing on RNA) and the ADAR-recruiting RNA as arRNA. arRNA, either expressed from plasmid or viral vector, or synthesized as an oligonucleotide, could achieve desirable editing. LEAPER has a manageable off-target rate on the targeted transcripts and rare global off-targets. We demonstrated that LEAPER could restore p53 function by repairing a specific cancer-relevant point mutation. Moreover, LEAPER could apply to a broad spectrum of cell types including multiple human primary cells, and it restored the -L-iduronidase catalytic activity in Hurler syndrome patient-derived primary fibroblasts without evoking innate immune responses. As a single molecule system akin to RNAi, LEAPER enables precise and efficient RNA editing, offering the transformative potential for basic research and therapeutics.

genomics↗

bioRxiv2019

The user’s guide to comparative genomics with EnteroBase. Three case studies: micro-clades within Salmonella enterica serovar Agama, ancient and modern populations of Yersinia pestis, and core genomic diversity of all Escherichia

EnteroBase is an integrated software environment which supports the identification of global population structures within several bacterial genera that include pathogens. Here we provide an overview on how EnteroBase works, what it can do, and its future prospects. EnteroBase has currently assembled more than 300,000 genomes from Illumina short reads from Salmonella, Escherichia, Yersinia, Clostridiodes, Helicobacter, Vibrio, and Moraxella, and genotyped those assemblies by core genome Multilocus Sequence Typing (cgMLST). Hierarchical clustering of cgMLST sequence types allows mapping, a new bacterial strain to predefined population structures at multiple levels of resolution within a few hours after uploading its short reads. Case study 1 illustrates this process for local transmissions of Salmonella enterica serovar Agama between neighboring social groups of badgers and humans. EnteroBase also supports SNP calls from both genomic assemblies and after extraction from metagenomic sequences, as illustrated by case study 2 which summarizes the microevolution of Yersinia pestis over the last 5,000 years of pandemic plague. EnteroBase can also provide a global overview of the genomic diversity within an entire genus, as illustrated by case study 3 which presents a novel, global overview of the population structure of all of the species, subspecies and clades within Escherichia.

microbiology↗

bioRxiv2019

Extensive adaptive immune response of AAVs and Cas proteins in non-human primates

The CRISPR-mediated Cas system is the most widely used tool in gene editing and gene therapy for its convenience and efficiency. Delivery of the CRISPR system by adeno-associated viruses (AAVs) is currently the most promising approach to gene therapy. However, pre-existing adaptive immune responses against CRISPR nuclease (PAIR-C) and AAVs has been found in human serum, indicating that immune response is a problem that cannot be ignored, especially for in vivo gene correction. Non-human primates (NHPs) share many genetic and physiological traits with human, and are considered as the bridge for translational medicine. However, whether NHPs have same PAIR-C status with human is still unknown. Here, macaques (rhesus and cynomolgus), including normal housed and CRISPR-SpCas9 or TALENs edited individuals, were used to detect PAIR-C which covered SaCas9, SpCas9, AsCas12a and LbCas12a. Dogs and mice were also detected to expand the range of species. In addition, pre-existing adaptive antibodies to AAV8 and AAV9 were performed against macaques of different ages. The results showed that adaptive immunity was pre-existing in the macaques regardless of Cas proteins and AAVs. These findings indicate that the pre-existing adaptive immune of AAV-delivered CRISPR construction and correction system should be concerned for in vivo experiments.

immunology↗

bioRxiv2019

High multiplex, digital spatial profiling of proteins and RNA in fixed tissue using genomic detection methods

We have developed Digital Spatial Profiling (DSP), a non-destructive method for high-plex spatial profiling of proteins and RNA, using oligonucleotide detection technologies with unlimited multiplexing capability. The key breakthroughs underlying DSP are threefold: (1) multiplexed readout of proteins/RNA using oligo-tags; (2) oligo-tags attached to affinity reagents (antibodies/RNA probes) through a photocleavable (PC) linker; (3) photocleaving light projected onto the tissue sample to release PC-oligos in any spatial pattern. Here we show precise analyte reproducibility, validation, and cellular resolution using DSP. We also demonstrate biological proof-of-concept using lymphoid, colorectal tumor, and autoimmune tissue as models to profile immune cell populations, stroma, and cancer cells to identify factors specific for the diseased microenvironment. DSP utilizes the unlimited multiplexing capability of modern genomic approaches, while simultaneously providing spatial context of protein and RNA to examine biological questions based on analyte location and distribution.

pathology↗

bioRxiv2019

MATRIEX Imaging: Multi-Area Two-photon Real-time In-vivo Explorer

Two-photon laser scanning microscopy, originally developed since 1990s1, has been widely applied for biomedical research in recent decades, particularly popular among neuroscientists for studying neural functions in vivo2. However, it is typically restricted to one imaging area that is orthogonal to the optical axis. Here, we demonstrate a novel multi-axis optical conjugation method that enables two-photon imaging at single-cell resolution simultaneously in multiple areas at different depths, each of which could have a view diameter of ~200 m and could be largely freely targeted within a zone up to 12-mm diameter. For example, we show simultaneous imaging of neuronal activities in the primary visual cortex (V1), the primary motor cortex (M1) and the hippocampal CA1 region of awake mice. This method can be readily implemented on a single conventional two-photon microscope to enable multi-area exploration of neuronal activities in vivo.

neuroscience↗

bioRxiv2018

The allotetraploid origin and asymmetrical genome evolution of common carp Cyprinus carpio

Common carp (Cyprinus carpio) is an allotetraploid Cyprinid species derived from recent whole genome duplication and provides an excellent model system for studying polyploid genome evolution in vertebrates. To explore the origins and consequences of tetraploidy in C. carpio, we generated three chromosome-level new reference genomes of C. carpio and compared them to the related diploid Cyprinid genome sequences. We identified a progenitor-like diploid Barbinae lineage by analysing the phylogenetic relationship of the homoeologous genes of C. carpio and their orthologues in closely related diploid Cyprinids. We then characterized the allotetraploid origin of C. carpio and divided its genome into two homoeologous subgenomes that are marked by a distinct genome similarity to their diploid progenitor. On the basis of the divergence rates of homoeologous genes and transposable elements in two subgenomes, we estimated that the two diploid progenitor species diverged approximately 23 million years ago (Mya) and merged to form the allotetraploid C. carpio approximately 12.4 Mya, which likely correlated with environmental upheavals caused by the extensive uplift of the Qinghai-Tibetan Plateau. No large-scale gene losses or rediploidization were observed in the two subgenomes. Instead, we found extensive homoeologous gene expression bias across twelve surveyed tissues, which indicates that subgenome B is dominant in homoeologous expression. DNA methylation analysis suggested that CG methylation in promoter regions plays an important role in altering the expression of these homoeologous genes in allotetraploid C. carpio. This study provides an essential genome resource and insights for extending further investigation on the evolutionary consequences of vertebrate polyploidy.

genomics↗

bioRxiv2018

A VTA GABAergic neural circuit mediates visually evoked innate defensive responses

Innate defensive responses are essential for animal survival and are conserved across species. The ventral tegmental area (VTA) plays important roles in learned appetitive and aversive behaviors, but whether it plays a role in mediating or modulating innate defensive responses is currently unknown. We report that GABAergic neurons in the mouse VTA (VTAGABA+) are preferentially activated compared to VTA dopaminergic (VTADA+) neurons when a threatening visual stimulus evokes innate defensive behavior. Functional manipulation of these neurons showed that activation of VTAGABA+ neurons is indispensable for looming-evoked defensive flight behavior and photoactivation of these neurons is sufficient for looming-evoked defensive-like flight behavior, whereas no such role can be attributed for VTADA+ neurons. Viral tracing and in vivo and in vitro electrophysiological recordings showed that VTAGABA+ neurons receive direct excitatory inputs from the superior colliculus (SC). Furthermore, we showed that glutamatergic SC-VTA projections synapse onto VTAGABA+ neurons that project to the central nucleus of the amygdala (CeA) and that the CeA is involved in mediating the defensive behavior. Our findings demonstrate that visual information about aerial threats access to the VTAGABA+ neurons mediating innate behavioral responses, suggesting a more general role for the VTA.

neuroscience↗

bioRxiv2018

Lin28B is involved in curcumin-reversed paclitaxel chemoresistance and associated with poor prognosis in hepatocellular carcinoma

Chemoresistance remains a big challenge in hepatocellular carcinoma (HCC) treatment. Several studies indicated that RNA-binding protein Lin28B serves an oncogenic role in HCC, but its activity in HCC chemotherapy has never been assessed. In this study, we found that overexpression of Lin28B significantly increased the paclitaxel chemoresistance in two different HCC cells lines while silencing Lin28B reduced the chemoresistance in paclitaxel-resistance HCC cells. Curcumin, a natural anti-cancer agent, increased the sensitivity of HCC cells to paclitaxel through inhibiting NF-{kappa}B stimulated Lin28B expression both in vitro and in vivo. Furthermore, by analyzing TCGA (The Cancer Genome Atlas) LIHC (liver hepatocellular carcinoma) and GSE14520 databases, we found that Lin28B was highly up-regulated in HCC tissue compared with that in normal tissue and associated with -fetoprotein levels, and that patients with Lin28B higher expression had a significant shorter overall survival time than those with Lin28B lower expression. Our data reveal that Lin28B may serve as a predictive biomarker and a treatment target to reverse HCC chemotherapy resistance in future clinical practice.\n\nSummary statementupregulation of Lin28B not only confers poor prognosis in HCC patients but also increases chemoresistance in HCC cells. Thus, Lin28B may serve as a predictive biomarker for use to reverse chemoresistance in clinical practice.

cell biology↗

bioRxiv2018

Effects of Biogas Slurry on Fruit Economic Traits and Soil Nutrient of Camellia oleifera Abel

Soil nutrients play a principal role in Camellia oleifera Abel (oil-seed camellia) production. Camellia oleifera absorbs nutrients from surrounding soils and its production is highly influenced by nutrients or fertilization. In this study, we investigated the effects of biogas slurry applications on soil nutrients and economic traits of C. oleifera fruits. Five different amounts of fertilizing biogas slurry (0, 10, 20, 30, or 40 kg/plant/year from three applications per year) were applied to C. oleifera plants in 2015 and 2016. Rhizosphere soil nutrients and C. oleifera fruit economic traits (yield, seed rate, and oil yield)were measured. Fertilization with biogas slurryincreasedsoil organic matter, available nitrogen (N), phosphorus (P), and potassium (K) in both 2015 and 2016. Increases in soil available N, P, and Kwere largest at the highest slurry application rate and second largest at the second highest application rate. Fruit economic traits were maximized at the two highest application rates. Oil yield was correlated withsoil available P in 2015 and 2016, and soil organic matter in 2015. Fertilization with biogas slurry decreased saturated fatty acid content in fruit but had no effect on unsaturated fatty acid content. In conclusion, fertilization with biogas slurry increases rhizosphere soil nutrients and fruit economic traits of C. oleifera with the rates of at least 30 kg/plant/year having the most positive effects.

plant biology↗

bioRxiv2018

Single-cell RNA-seq of the Developing Cardiac Outflow Tract Reveals Convergent Development of the Vascular Smooth Muscle Cells at the Base of the Great Arteries

RationaleCardiac outflow tract (OFT) is a major hotspot for congenital heart diseases (CHDs). A thorough understanding of the cellular diversity, transitions and regulatory networks of normal OFT development is essential to decipher the etiology of OFT malformations.\n\nObjectiveWe sought to explore the cellular diversity and transitions between cell lineages during OFT development.\n\nMethods and ResultsWe performed single-cell transcriptomic sequencing of 55,611 mouse OFT cells from three developmental stages that generally correspond to the early, middle and late stages of OFT remodeling and septation. We identified 17 cell clusters that could be assigned to six cell lineages. Among these lineages, the macrophage and VSMC lineages of the developing OFT have seldom been previously described. Known cellular transitions, such as endothelial to mesenchymal transition, have been recapitulated. In particular, we identified convergent development of the VSMC lineage, where intermediate cell subpopulations were found to be involved in either myocardial to VSMC trans-differentiation or mesenchymal to VSMC transition. Through single-molecule in situ hybridization, we observed that cells expressing the myocardial marker Myh7 co-expressed the VSMC marker gene Cxcl12 in OFT walls, thus confirming the existence of myocardial to VSMC trans-differentiation. Moreover, we found that the Penk+ cluster c8, a relatively small mesenchymal subpopulation that was undergoing mesenchymal to VSMC transition, was associated with the fusion of OFT cushions. We also uncovered the expression dynamics and critical transcriptional regulators potentially governing cell state transitions. Finally, we developed web-based interactive interfaces to facilitate further data exploration.\n\nConclusionsWe provide a single-cell reference map of cell states for normal OFT development, which will be a valuable resource for the CHD community. Our data support the existence of myocardial to VSMC trans-differentiation and convergent development of the VSMC lineage at the base of the great arteries.

developmental biology↗

bioRxiv2018

Characterization of glutamatergic VTA neural population responses to aversive and rewarding conditioning in freely-moving mice

The Ventral Tegmental Area (VTA) is a midbrain structure known to integrate aversive and rewarding stimuli, a function involving VTA Dopaminergic and GABAergic neurons. VTA also contains a less known population: glutamatergic (VGluT2) neurons. Direct activation of VGluT2 soma evokes rewarding behaviors, while stimulation of their axonal projections to the Nucleus Accumbens (NAc) and the Lateral Habenula (LHb) evokes aversive behaviors. Here, a systematic investigation of the VTAVGluT2+ population response to aversive or rewarding conditioning facilitated our understanding these conflicting properties. We recorded calcium signals from VTA glutamatergic population neurons using fiber photometry in VGluT2-cre mice to investigate how the VTA glutamatergic neuronal population was recruited by aversive and rewarding stimulation, both during unconditioned and conditioned protocols. Our results revealed that, as a population, VTAVGluT2+ neurons responded similarly to unconditioned-aversive and unconditioned-rewarding stimulation. During aversive and rewarding conditioning, the CS-evoked responses gradually increased across trials whilst the US-evoked response remained stable. Retrieval 24 h after conditioning, during which mice received only CS presentation, resulted in VTAVGluT2+ neurons strongly responding to CS presentation and to the expected-US but only for aversive conditioning. The inputs and outputs of VTAVGluT2+ neurons were then investigated using Cholera Toxin B (CTB) and rabies virus, and we propose based on all results that VTAVGluT2+ neurons specialized function may be partially due to their connectivity.

neuroscience↗

bioRxiv2018

Transfer learning in single-cell transcriptomics improves data denoising and pattern discovery

Single-cell RNA sequencing (scRNA-seq) data is noisy and sparse. Here, we show that transfer learning across datasets remarkably improves data quality. By coupling a deep autoencoder with a Bayesian model, SAVER-X extracts transferable gene-gene relationships across data from different labs, varying conditions, and divergent species to denoise target new datasets.

bioinformatics↗

bioRxiv2018

The Archaellum of Methanospirillum hungatei is Electrically Conductive

Here we report that the archaellum of Methanospirillum hungatei is electrically conductive. Our analysis of the previously published archaellum structure suggests that a core of tightly packed phenylalanines is one likely route for electron conductance. This is the first demonstration that electrically conductive protein filaments (e-PFs) have evolved in Archaea and is the first e-PF for which a structure is known, facilitating mechanistic evaluation of long-range electron transport in e-PFs.

microbiology↗

bioRxiv2018

Genetic Heterogeneity Profiling by Single Cell RNA Sequencing

Detection of genetically distinct subclones and profiling the transcriptomic differences between them is important for studying the evolutionary dynamics of tumors, as well as for accurate prognosis and effective treatment of cancer in the clinic. For the profiling of intra-tumor transcriptional heterogeneity, single cell RNA-sequencing (scRNA-seq) is now ubiquitously adopted in ongoing and planned cancer studies. Detection of somatic DNA mutations and inference of clonal membership from scRNA-seq, however, is currently unreliable. We propose DENDRO, an analysis method for scRNA-seq data that detects genetically distinct subclones, assigns each single cell to a subclone, and reconstructs the phylogenetic tree describing the tumors evolutionary history. DENDRO utilizes information from single nucleotide mutations in transcribed regions and accounts for technical noise and expression stochasticity at the single cell level. The accuracy of DENDRO was benchmarked on spike-in datasets and on scRNA-seq data with known subpopulation structure. We applied DENDRO to delineate subclonal expansion in a mouse melanoma model in response to immunotherapy, highlighting the role of neoantigens in treatment response. We also applied DENDRO to primary and lymph-node metastasis samples in breast cancer, where the new approach allowed us to better understand the relationship between genetic and transcriptomic intratumor variation.

bioinformatics↗