Biology subjects

Liu, H.

Publications and source records attributed to Liu, H..

At least 991 records · Page 55Linked to original sources

bioRxiv2019

Cold Shock Fail to Restrain Pre-formed Vibrio parahaemolyticus Biofilm

The source of persistent infections can be biofilms that occur naturally on food surfaces and medical biomaterials. Biofilm formation on these materials are likely to be affected by environmental temperature fluctuations and information on noticeable temperature shifts on the fate of pre-formed biofilm is sparse. Changes to pre-formed Vibrio parahaemolyticus biofilm under cold shock (4 {degrees}C and 10 {degrees}C) was explored in this study. We show that V. parahaemolyticus biofilm biomass increased significantly during this cold shock period and there was a gradual increase of polysaccharides and proteins content in the extracellular polymeric matrix (EPS). In addition, we demonstrate that the expression of flagella and virulence-related genes were differentially regulated. The architecture of the biofilm, quantified using mean thickness (MT), average diffusion distance (ADD), porosity (P), biofilm roughness (BR) and homogeneity (H) also changed during the cold shock and these parameters were correlated (P < 0.01). However, the correlation between biofilm architecture and biofilm-related genes expression was relatively weak (P < 0.05). Cold shock at 4 {degrees}C and 10 {degrees}C is not sufficient to reduce V. parahaemolyticus biofilm formation and strategies to reduce risk of foodborne infections should take this information into account.

microbiology↗

bioRxiv2019

Comprehensive identification of survival-associated genes for cancers

Prognostic signature is important in estimating cancer risk, subtyping cancer, and planning treatment. A single gene as a prognostic marker would facilitate the development of a clinical test. Here we showed that the number of prognostic and diagnostic genes differ greatly across cancers. By considering both the survival difference and the fold change of expression in cancer, we revealed the prognostic genes for each cancer and found twenty two genes with both diagnostic and prognostic capacity. The universal prognostic genes (CDC20, CDCA8, ASPM, ERCC6L, and GTSE1) mainly function in the spindle assembly checkpoint, and show more statistical links to mutated pathways, suggesting that expression of these genes can be altered by mutations from many pathways. Briefly, we systematically identified the prognostic genes and revealed the associations between the prognostic genes and genes mutated in cancer. Keywords: Prognostic gene; Cancer; Mutation; Diagnosis

cancer biology↗

bioRxiv2019

Accurate detection of m6A RNA modifications in native RNA sequences

The field of epitranscriptomics has undergone an enormous expansion in the last few years; however, a major limitation is the lack of generic methods to map RNA modifications transcriptome-wide. Here we show that using Oxford Nanopore Technologies, N6-methyladenosine (m6A) RNA modifications can be detected with high accuracy, in the form of systematic errors and decreased base-calling qualities. Our results open new avenues to investigate the universe of RNA modifications with single nucleotide resolution, in individual RNA molecules.

molecular biology↗

bioRxiv2019

Moraxellaceae and Moraxella interact with the altered airway mycobiome in asthma

Airway microbial-microbial interaction plays an important role in chronic airway inflammatory diseases such as asthma. Moraxella is widely regarded as a human respiratory tract pathogen. We aimed to investigate the interactions among Moraxella, Moraxellaceae (to which Moraxella belongs) and the airway microbiome in asthma. Induced sputum samples were obtained from 116 asthma patients and 29 healthy individuals, and the bacterial/fungal communities were profiled using 16S rRNA and ITS1 DNA gene sequencing. We found that asthma patients harboured significantly greater airway bacterial and fungal -diversity than that of healthy individuals. Moraxellaceae, Moraxella and Moraxella otu19 (bacteria), and Schizophyllaceae, Polyporaceae, Aspergillus, Schizophyllum and Candida (fungi) were increased in the airway of asthma. Moreover, Moraxellaceae, Schizophyllaceae, Polyporaceae and Candida were positively associated with airway fungal -diversity. Correlation networks revealed Moraxellaceae and Moraxella as microbial \"hubs\" in asthma that had significant negative connections with multiple bacterial communities, such as Leptotrichiaceae, Lachnospiraceae, Peptostreptococcaceae, Porphyromonadaceae, Prevotella, Veillonella, Rothia and Leptotrichia, but positive interactions with fungal communities such as Schizophyllaceae, Polyporaceae, Candida and Meyerozyma. Together, our finding revealed an altered microbiome and complex microbial-microbial interactions in the airway of asthma. Moraxellaceae and Moraxella showed significant interactions with the airway mycobiome, providing potential insights into the novel pathogenic mechanisms of asthma.\n\nIMPORTANCEWith the advent of culture-independent techniques, growing evidence suggests that the airway microbiome is closely correlated with chronic respiratory diseases such as asthma. The complex microbial-microbial interaction exists in the airways of both healthy individuals and patients with respiratory diseases, which is of great significance for the pathogenesis and disease progression of asthma. In this study, we evaluated the airway dysbiosis in asthma patients, described the interaction between Moraxellaceae, Moraxella and airway bacterial/fungal communities, and it contributes to further understanding the pathogenic mechanisms of asthma.

microbiology↗

bioRxiv2019

Defining the dynamic chromatin landscape of nephron progenitors

Six2+ cap mesenchyme cells, also called nephrons progenitor cells (NPC), are precursors of all epithelial cell types of the nephron, the filtering unit of the kidney. Current evidence indicates that perinatal \"old\" NPC have a greater tendency to exit the progenitor niche and differentiate into nascent nephrons than their embryonic \"young\" counterpart. Understanding the underpinnings of NPC aging may offer insights to rejuvenate old NPC and expand the progenitor pool. Here, we compared the chromatin landscape of young and old NPC and found common features reflecting their shared lineage but also intrinsic differences in chromatin accessibility and enhancer landscape supporting the view that old NPC are epigenetically poised for differentiation. Annotation of open chromatin regions and active enhancers uncovered the transcription factor Bach2 as a potential link between the pro-renewal MAPK/AP1 and pro-differentiation Six2/b-catenin pathways that might be of critical importance in regulation of NPC fate. Our data provide the first glimpse of the dynamic chromatin landscape of NPC and serve as a platform for future studies of the impact of genetic or environmental perturbations on the epigenome of NPC.\n\nSummary statementHilliard et al. investigated the chromatin landscape of native Six2+ nephron progenitors across their lifespan. They identified age-dependent changes in accessible chromatin and regulatory regions supporting the view that old nephron progenitors are epigenetically poised for differentiation.

developmental biology↗

bioRxiv2019

Airway epithelial integrin β4 suppresses allergic inflammation by decreasing CCL17 production

Airway epithelial cells (AECs) play a key role in asthma susceptibility and severity. Integrin {beta}4 (ITGB4) is a structural adhesion molecule that is downregulated in the airway epithelium of asthma patients. Specific ITGB4 deficiency in AECs induces exaggerated Th2 responses, severe allergen-induced airway inflammation and airway hyperresponsiveness (AHR) in mouse model of allergic asthma. However, the underlying mechanisms remain unexplored. In this study, we determine the role of ITGB4 of AECs in the regulation of Th2 response and in the induction of asthma and identify the underpinning molecular mechanisms. We found that ITGB4 deficiency led to exaggerated Th2 cells infiltration, inflammation and AHR and higher production of CCL17 in HDM treated mice. ITGB4-regulated CCL17 production in AECs was regulated by EGFR, ERK and NF-{kappa}B pathways. EFGR-antagonist treatment or the neutralization of CCL17 by antibody inhibited exaggerated pathological marks in HDM-challenged ITGB4-deficient mice. Together, these results demonstrated that ITGB4 of AECs negatively regulates the development of Th2 responses of allergic asthma by down-regulation of EGFR and CCL17 pathway.

immunology↗

bioRxiv2018

Stress, novel sex genes and epigenetic reprogramming orchestrate socially-controlled sex change

Bluehead wrasses undergo dramatic, socially-cued female to male sex change. We apply transcriptomic and methylome approaches in this wild coral reef fish to identify the primary trigger and subsequent molecular cascade of gonadal metamorphosis. Our data suggest that the environmental stimulus is exerted via the stress axis, that repression of the aromatase gene (encoding the enzyme converting androgens to estrogens) triggers a cascaded collapse of feminizing gene expression, and identifies notable sex-specific gene neofunctionalization. Furthermore, sex change involves distinct epigenetic reprogramming and an intermediate state with altered epigenetic machinery expression akin to the early developmental cells of mammals. These findings reveal at a molecular level how a normally committed developmental process remains plastic and is reversed to completely alter organ structures.\n\nOne Sentence SummaryOvary to testis transformation in a sex-changing fish involves transcriptomic and epigenomic reprogramming.

molecular biology↗

bioRxiv2018

Two Contrasting Classes of Nucleolus-Associated Domains in Mouse Fibroblast Heterochromatin

In interphase eukaryotic cells, almost all heterochromatin is located adjacent to the nucleolus or to the nuclear lamina, thus defining Nucleolus-Associated Domains (NADs) and Lamina-Associated Domains (LADs), respectively. Here, we determined the first genome-scale map of murine NADs in mouse embryonic fibroblasts (MEFs) via deep sequencing of chromatin associated with purified nucleoli. We developed a Bioconductor package called NADfinder and demonstrated that it identifies NADs more accurately than other peak-calling tools, due to its critical feature of chromosome-level local baseline correction. We detected two distinct classes of NADs. Type I NADs associate frequently with both the nucleolar periphery and with the nuclear lamina, and generally display characteristics of constitutive heterochromatin, including late DNA replication, enrichment of H3K9me3 and little gene expression. In contrast, Type II NADs associate with nucleoli but do not overlap with LADs. Type II NADs tend to replicate earlier, display greater gene expression, and are more often enriched in H3K27me3 than Type I NADs. The nucleolar associations of both classes of NADs were confirmed via DNA-FISH, which also detected Type I but not Type II probes enriched at the nuclear lamina. Interestingly, Type II NADs are enriched in distinct gene classes, notably factors important for differentiation and development. In keeping with this, we observed that a Type II NAD is developmentally regulated, present in MEFs but not in undifferentiated embryonic stem (ES) cells.

genomics↗

bioRxiv2018

Genetic interactions among Ghd7, Ghd7.1, Ghd8 and Hd1 contribute to large variation in heading date in rice

Several major heading date genes are sensitive to photoperiod and jointly regulate heading date in rice. However, it is not clear how these genes coordinate rice heading. In this study, a near-isogenic F2 population with Ghd7, Ghd7.1, Ghd8 and Hd1 segregating in the Zhenshan 97 (ZS97) background was used to evaluate the genetic interactions among these four genes under natural long-day (NLD) and natural short-day (NSD) conditions, and a series of Ghd7.1-segregating populations in different backgrounds were developed to estimate the genetic effects of Ghd7.1 on heading date under both conditions. Tetragenic, trigenic and digenic interactions among these four genes were observed under both conditions. In the functional Hd1 backgrounds, the strongest digenic interaction was Ghd7 by Ghd8 under NLD conditions but was Ghd7 by Ghd7.1 under NSD conditions. Interestingly, Ghd7.1 acted as a flowering suppressor under NLD conditions, while it functioned alternatively as an activator or a suppressor under NSD conditions depending on the status of the other three genes. Based on the performances of 16 homozygous four-gene combinations, a positive correlation between heading date and yield was found under NSD conditions, but changed to a negative correlation when heading date was over 90 days under NLD conditions. These results demonstrate the importance of genetic interactions in the rice flowering regulatory network and will help breeders to select favorable combinations to maximize rice yield potential for different ecological areas.

genetics↗

bioRxiv2018

DrugCombDB: a comprehensive database of drug combinations toward network medicine and combination therapy

Drug combinations have demonstrated high efficacy and low adverse side effects compared to single drug administrations in cancer therapies, and thus draw intensive attentions from researchers and pharmaceutical enterprises. Thanks to the fast development of high-throughput screening (HTS) methods, the amount of available drug combination datasets has tremendously increased. However, existing drug combination databases are lack of indications of the drug combinations and quantitative dose-responses. Therefore, there is an urgent need for a comprehensive database that is crucial to both experimental and computational screening of drug combinations. In this paper, we present DrugCombDB, a comprehensive database dedicated to integrating drug combinations from various data sources. Concretely, the data sources include 1) high-throughput screening assays of drug combinations, 2) external databases, and 3) manual curations from PubMed literature. In total, DrugCombDB includes 1,127,969 experimental data points with quantitative dose response and concentrations of drug combinations covering 561 unique drugs and 104 human cancer cell lines, and 1,875 FDA approved or literature-supported drug combinations. In particular, we adopted the zero interaction potency (ZIP) model [2] to compute the scores determining the synergy or antagonism of two drugs. To facilitate the downstream usage of our data resource, we prepared multiple datasets that are ready for building prediction models of classification and regression analysis. A website with user-friendly data visualization is provided to help users access the wealth of data. Users can input a drug of interest to retrieve associated drug combinations, together with the supporting evidence sources and drug targets. Our database is available at http://drugcombdb.denglab.org/.

bioinformatics↗

bioRxiv2018

Modeling Attention Control Using A Convolutional Neural Network Designed After The Ventral Visual Pathway

Recently we proposed that people represent object categories using category-consistent features (CCFs), those features that occur both frequently and consistently across a categorys exemplars [70]. Here we designed a Convolutional Neural Network (CNN) after the primate ventral stream (VsNet) and used it to extract CCFs from 68 categories of objects spanning a three-level category hierarchy. We evaluated VsNet against people searching for the same targets from the same 68 categories. Not only did VsNet replicate our previous report of stronger attention guidance to subordinate-level targets, with its more powerful CNN-CCFs it was able to predict attention control to individual target categories-the more CNN-CCFs extracted for a category, the faster gaze was directed to the target. We also probed VsNet to determine where in its network of layers these attention control signals originate. We found that CCFs extracted from VsNets V1 layer contributed most to guiding attention to targets cued at the subordinate (e.g., police car) and basic (e.g., car) levels, but that guidance to superordinate-cued (e.g., vehicle) targets was strongest using CCFs from the CIT+AIT layer. We also identified the image patches eliciting the strongest filter responses from areas V4 and higher and found that they depicted representative parts of an object category (e.g., advertisements appearing on top of taxi cabs). Finally, we found that VsNet better predicted attention control than comparable CNN models, despite having fewer convolutional filters. This work shows that a brain-inspired CNN can predict goal-directed attention control by extracting and using category-consistent features.

neuroscience↗

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

Neuron-astrocyte metabolic coupling during neuronal stimulation protects against fatty acid toxicity

GRAPHICAL ABSTACT\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=165 SRC=\"FIGDIR/small/465237_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (57K):\norg.highwire.dtl.DTLVardef@1d6cbf4org.highwire.dtl.DTLVardef@e83c9corg.highwire.dtl.DTLVardef@e35b92org.highwire.dtl.DTLVardef@910303_HPS_FORMAT_FIGEXP M_FIG C_FIG HIGHLIGHTSO_LIHyperactive neurons generate and release excess peroxidated fatty acids (FAs)\nC_LIO_LIAstrocytes endocytose toxic FAs as lipoprotein particles, delivering them to lipid droplets\nC_LIO_LILipid droplets trigger upregulation of genes involved in metabolism and detoxification\nC_LIO_LIAstrocytes detoxify and consume FAs by mitochondrial oxidation in response to neural activity\nC_LI\n\nSUMMARYMetabolic coordination between neurons and astrocytes is critical for the health of the brain. However, neuron-astrocyte coupling of lipid metabolism, particularly in response to neural activity, remains largely uncharacterized. Here, we demonstrate that toxic, peroxidated fatty acids (FAs) produced in hyperactive neurons are transferred to astrocytic lipid droplets by lipoprotein particles. Astrocytes consume the FAs stored in lipid droplets via mitochondrial {beta}-oxidation in response to neuronal activity and turn on a detoxification gene expression program. Together, our findings reveal that FA metabolism between neurons and astrocytes is coupled in an activity-dependent manner to protect neurons from FA toxicity. This coordinated mechanism for metabolizing FAs could underlie both homeostasis and a variety of disease states of the brain.

neuroscience↗

bioRxiv2018

The complete plastid genomes of two Fabaceae orphan crops from Africa

Dolichos bean (Lablab purpureus) and Bambara groundnut (Vigna subterranea) are two traditional crops from Africa with important economic values. The study of such neglected or underused crops (orphan crops) should contribute to the resolution of food shortage in Africa. Here we assembled and described the complete plastid genome of the two Fabaceae orphan crop species. The length of the complete plastomes of L. purpureus and V. subterranea are 151,753 bp and 152,015 bp, respectively. Maximum-likelihood (ML) phylogenetic analyses indicated that L. purpureus and Phaseolus vulgaris are closely related, and V. subterranea and other Vigna species are clustered in one clade, which is congruent with former studies.

genomics↗

bioRxiv2018

CRISPR/Cas9 screens Reveal Dasatinib Targets of Inhibiting T cell Activation and Proliferation

Immune response by T cells is essential for a healthy body against cancer, infection, and pathophysiological alteration. The activation and expansion of T cells can be inhibited by dasatinib, a tyrosine inhibitor, thus improving the outcome of diseases, such as autoimmune disease, graft-versus-host disease, and transplant rejection. The underlying mechanism of inhibition by dasatinib is elusive. Here, we designed and synthesized a CRISPR/Cas9 screening library that includes 6,149 genes. Using the library, we performed dasatinib CRISPR/cas9 screening in Jurkat cell, a T lymphocyte cell. We firstly identified survival essential genes for Jurkat cells. Comparing with other CRISPR/Cas9 screenings, we obtained Jurkat cell specific essential genes. By comparing dasatinib treatment to control, we identified a set of dasatinib targets, which includes known targets: CSK, LCK, ZAP70, and previously unknown targets: ZFP36L2, LRPPRC, CFLAR, PD-1, CD45 et al. Visualizing these target genes on T cell receptor signaling pathway, we found several genes could be inhibited by dasatinib. Furthermore, we introduced a framework, 9-square, to classify genes and found a group of genes that are associated with dasatinib resistance, possibly linking the side effects of dasatinib. These data reveal a set of dasatinib targets and demonstrate the molecular potential functions of dasatinib. Identification of dasatinib targets will broaden our understanding to its molecular mechanism, and thus benefits to clinical outcome.

cancer biology↗

bioRxiv2018

Bright and photostable chemigenetic indicators for extended in vivo voltage imaging

Imaging changes in membrane potential using genetically encoded fluorescent voltage indicators (GEVIs) has great potential for monitoring neuronal activity with high spatial and temporal resolution. Brightness and photostability of fluorescent proteins and rhodopsins have limited the utility of existing GEVIs. We engineered a novel GEVI, Voltron, that utilizes bright and photostable synthetic dyes instead of protein-based fluorophores, extending the combined duration of imaging and number of neurons imaged simultaneously by more than tenfold relative to existing GEVIs. We used Voltron for in vivo voltage imaging in mice, zebrafish, and fruit flies. In mouse cortex, Voltron allowed single-trial recording of spikes and subthreshold voltage signals from dozens of neurons simultaneously, over 15 minutes of continuous imaging. In larval zebrafish, Voltron enabled the precise correlation of spike timing with behavior.

neuroscience↗

bioRxiv2018

Multi-omic profiling of transcriptome and DNA methylome in single nuclei with molecular partitioning

Single-cell transcriptomic and epigenomic analyses provide powerful strategies for unbiased determination of cell types in mammalian tissues. Although previous studies have identified cell types using individual molecular signatures, the generation of consensus cell type classification requires the integration of multiple data types. Most existing single-cell techniques can only make one type of molecular measurement. Here we describe single-nucleus methylcytosine and transcriptome sequencing (snmCT-seq), a multi-omic method that requires no physical separation of DNA and RNA molecules. We demonstrated that snmCT-seq profiles generated from single cells or nuclei robustly distinguish human cell types and accurately measures cytosine DNA methylation and gene expression signatures of each cell type.

genomics↗

bioRxiv2018

A collective modulatory basis for multisensory integration in C. elegans

In the natural environment, animals often encounter multiple sensory cues that are simultaneously present. The nervous system integrates the relevant sensory information to generate behavioral responses that have adaptive values. However, the signal transduction pathways and the molecules that regulate integrated behavioral response to multiple sensory cues are not well defined. Here, we characterize a collective modulatory basis for a behavioral decision in C. elegans when the animal is presented with an attractive food source together with a repulsive odorant. We show that distributed neuronal components in the worm nervous system and several neuromodulators orchestrate the decision-making process, suggesting that various states and contexts may modulate the multisensory integration. Among these modulators, we identify a new function of a conserved TGF-{beta} pathway that regulates the integrated decision by inhibiting the signaling from a set of central neurons. Interestingly, we find that a common set of modulators, including the TGF-{beta} pathway, regulate the integrated response to the pairing of different foods and repellents. Together, our results provide insights into the modulatory signals regulating multisensory integration and reveal potential mechanistic basis for the complex pathology underlying defects in multisensory processing shared by common neurological diseases.\n\nAuthor SummaryThe present study characterizes the modulation of a behavioral decision in C. elegans when the worm is presented with a food lawn that is paired with a repulsive smell. We show that multiple sensory neurons and interneurons play roles in making the decision. We also identify several modulatory molecules that are essential for the integrated decision when the animal faces a choice between the cues of opposing valence. We further show that many of these factors, which often represent different states and contexts, are common for behavioral decisions that integrate sensory information from different types of foods and repellents. Overall, our results reveal a collective molecular and cellular basis for integration of simultaneously present attractive and repulsive cues to fine-tune decision-making.

neuroscience↗