Search bioRxiv⌕ Search

Biology subjects

Huang, Z.

Publications and source records attributed to Huang, Z..

At least 379 records · Page 21Linked to original sources

Changes in the Physicochemical Properties and Microbial Communities of Rhizospheric Soil after Cassava/Peanut Intercropping

Cassava/peanut intercropping is a popular cultivation method in southern China and has the advantages of apparently increased yield and economic efficiency compared with monoculture, however, the ecological benefits of this method are poorly understood. This study aimed to investigate the effects of intercropping on the physicochemical properties and microbial community structures of soil. Field trials were performed to determine the effects of cassava/peanut intercropping on rhizospheric soil nutrient content, enzyme activities, microbial quantity and microbial community structure. The microbial community was characterized by 16S rRNA tag-based high-throughput sequencing on the Illumina MiSeq platform. Results showed that cassava/peanut intercropping could improve the physicochemical properties of rhizospheric soil by increasing the available nutrient content, pH, bacterial quantity, and some enzyme activities and by altering the microbial community structure. 16S rRNA gene sequencing demonstrated that the microbial community structure varied between the intercropping and monoculture systems. Nitrospirae, Verrucomicrobia and Gemmatimonadetes were more abundant in the intercropping system than in the monocultures. Redundancy analysis (RDA) revealed that the abundances of DA101, Pilimelia and Ramlibacter were positively correlated with environmental parameters such as available nitrogen and pH, and these were dominant genera in the rhizospheric soil of the intercropped peanut plants.

ecology↗

Chiroptical Kirigami Modulators for Terahertz Circular Dichroism Spectroscopy of Biomaterials

ABSTRACTSTerahertz circular dichroism (TCD) offers spectroscopic capabilities for understanding mesoscale chiral architecture and low-energy vibrations of macromolecules in (bio)materials1-5. However, the lack of dynamic polarization modulators comparable to polarization optics for other parts of electromagnetic spectrum impedes proliferation of TCD spectroscopy6-10. Here we show that tunable optical elements fabricated from patterned plasmonic sheets with periodic kirigami cuts make possible polarization modulation of THz radiation under application of mechanical strain. A herringbone pattern of microscale metal stripes enables dynamic range of polarization rotation modulation exceeding 80{degrees} over thousands of cycles. Upon out-of-plane buckling, the plasmonic stripes function as reconfigurable semi-helices of variable pitch aligned along the THz propagation direction. Several biomaterials, exemplified by elytrons of Chrysina gloriosa beetles, revealed distinct TCD fingerprints associated with the helical substructure in the biocomposite. Analogous kirigami modulators will also enable other applications in THz optics, such as polarization-based terahertz imaging and phase-encrypted telecommunication.

biophysics↗

LAmbDA: Label Ambiguous Domain Adaption Dataset Integration Reduces Batch Effects and Improves Subtype Detection

MotivationRapid advances in single cell RNA sequencing have produced more granular subtypes of cells in multiple tissues from different species. There exists a need to develop rigorous methods that can i) model multiple datasets with ambiguous labels across species and studies and ii) remove systematic biases across datasets and species. ResultsWe developed a species- and dataset-independent transfer learning framework (LAmbDA) to train models on multiple datasets and applied our framework on scRNA-seq experiments. These models mapped corresponding cell types between datasets with inconsistent labels while simultaneously reducing batch effects. We achieved high accuracy in labeling cellular subtypes (weighted accuracy pancreas: 91%, brain: 78%) using LAmbDA Random Forest. LAmbDA Feedforward 1 Layer Neural Network achieved higher weighted accuracy in labeling cellular subtypes than CaSTLe or MetaNeighbor in brain (48%, 32%, 20% respectively). Furthermore, LAmbDA Feedforward 1 Layer Neural Network was the only method to correctly predict ambiguous cellular subtype labels in both pancreas and brain compared to CaSTLe and MetaNeighbor. LAmbDA is model- and dataset-independent and generalizable to diverse data types representing an advance in biocomputing. Availability: github.com/tsteelejohnson91/LAmbDA Contact: kunhuang@iu.edu, jizhan@iu.edu

bioinformatics↗

Automated Seizure Detection Tailored Towards Portable Patient Care Using A Novel, Computationally Efficient Method of Analysis

Epilepsy is a devastating neurological disorder that affects approximately 1-3% population worldwide. Wearables have recently gained more popularity as having a promising future in epilepsy management including seizure alert and close-loop therapy for severe forms of seizures. Due to the random and low frequency of seizures, seizure evaluation requires continuous, long-term EEG monitoring, which produces a large volume of data. The future treatment systems will rely on algorithms that can detect seizures with high precision and low computational cost. Previous implemented algorithms have used various computationally expensive methods of data transformation and feature extraction. In the present study, we developed a new computationally efficient seizure detection algorithm based on analysis of the broad, global shape EEG data of tonic-clonic seizures from a mouse model of temporal lobe epilepsy (TLE). To perform this algorithm, EEG data was normalized and processed through a rolling mean function, producing smoothed, simplified EEG clips that represent the global shape of the clip. These signals were then directly inputted for SVM training and testing. This novel method of seizure analysis only requires a small fraction of EEG data points, yet achieved an accuracy rate of approximately 98.51%. Our study provides a proof of principle that this simpler method could have an advantage in low-power platform such as wearables. Recently, the FDA approved a seizure detection app called embrace2 by Empatica. However, their algorithm detects seizures indirectly by monitoring heart rate and muscle contractions. Our novel algorithm detects seizures directly through analysis of brain activity. Thus, our algorithm may be better suited for future wearables in epilepsy management.

neuroscience↗

Genomic analyses provide insights into genetic architecture of three-way crossbred pigs

BackgroundCrossbreeding is effective for improving performance in poultry and livestock, which is mainly attributed to heterosis. For pork production, a classic three-way crossbreeding system of Duroc x (Landrace x Yorkshire) (DLY) is widely used to produce terminal crossbred pigs with stable and prominent performance. Nonetheless, studies on the transmission of genetic information and gene expression pattern of DLY have been limited.\n\nFindingsWe analyzed population-scale SNPs based on 30 individuals from these three purebreds and identified 529.93 K SNPs of breed-of-origin of alleles. We also applied whole-genome sequencing of ten individuals from a DLY pig family as well as transcriptome of four representative tissues (adipose, skeletal muscle, heart, and liver) for six DLY individuals. Based on above, we identified a large number of high-confidence ASE genes, among which four ASE genes (KMO, PLIN4, POPDC3 and UGT1A6) were found to be shared over all DLY individuals.\n\nConclusionWe suggest DLY is a more effective strategy of three-way crossbreeding among these three purebreds from genetic aspect. We suppose the numerous breed-of-origin of alleles have close association with improved performance of crossbred individuals. ASE may also play important roles on DLY three-way crossbreeding system. Our findings are valuable for understanding the transmission of genetic information and the gene expression in DLY three-way crossbreeding and may be used to guide breeding and production of pigs in the future.

genomics↗

Generation of Cynomolgus Monkeys (Macaca fascicularis) Embryos with ICSI Based on the MII-Stage Oocytes Acquired by Personalized Superovulation Protocol

The use of cynomolgus monkeys (Macaca fascicularis) has facilitated the establishment of gene-modified animal models, and the appropriate number of high-quality mature oocytes (MII-stage oocytes) are crucial in assisted reproductive technologies (ART) of cynomolgus macaques. In this study we performed 3 different superovulation protocols on 24 female cynomolgus monkeys aimed to improve the proportion of MII-stage oocyte retrieval. The results suggested some differences in the proportion of MII-stage oocytes between the personalized superovulation protocol and the superovulation protocols I and II. Afterwards, we performed Intracytoplasmic sperm injection (ICSI) on 22 MII-stage oocytes derived from one animal with personalized superovulation protocol, obtained 15 embryos of 2-4-cells, 2 cases of successful pregnancy after transferring to 4 surrogate female, and obtained 3 aborted fetuses. These results suggested that personalized superovulation protocol incorporated the menstrual cycle length of each cynomolgus monkey, and the timing of oocytes retrieval based on the equation: menstrual cycle length/2 {+/-} 1, which increased the rate of MII-stage oocytes acquired and generation of cynomolgus monkeys embryos with ICSI based on these oocytes, and finally could successfully develop into fetus under conditions that effectively guarantee the synchronization of the surrogate mothers.\n\nSUMMARY STATEMENTThe personalized superovulation protocol based on the menstrual cycle length of each cynomolgus monkey can increase the rate of MII-stage oocytes acquired, and finally could successfully develop into fetus under conditions that minimize damage to the surrogate mothers and effectively guarantee the synchronization of the surrogate mothers.

developmental biology↗

Molecular profiles and mutation burden analysis in Chinese patients with gastric carcinoma

The goal of this work was to investigate the molecular profiles and mutation burden in Chinese patients with gastric carcinoma (GC). In total, we performed whole exome sequencing (WES) on 74 GC patients with tumor and adjacent normal formalin-fixed, paraffin-embedded (FFPE) tissue samples. The mutation spectrum of these samples showed a high concordance with TCGA and other studies on GC. We found the alterations of 17 DNA repair genes (including BRCA2, POLE and MSH3, etc.) were strongly correlated with the tumor mutation burden (TMB) and tumor neoantigen burden (TNB) of GC patients. Patients with mutations of these genes tend to have high TMB (median of TMB = 12.77, p=2.3e-6) and TNB (median of TNB = 5.97, p= 2.8e-3). In addition, younger GC patients (age < 60) have lower TMB (p = 0.0021) and TNB (p = 0.034) than older patients (age >= 60). Furthermore, we found a list of 18 genes and two genomic regions (1p36.21 and Xq26.3) were associated with peritoneal metastasis (PM) of GC, and patients with amplification of 1p36.21 and Xq26.3 have a worse prognosis (p=0.002, 0.01, respectively). Our analysis provides GC patients with potential markers for single and combination therapies.

cancer biology↗

BDNF/TrkB signaling in pancreatic islet beta cells

Adrenergic signaling is a well-known input into pancreatic islet function. Specifically, the insulin-secreting islet {beta} cell expresses the Gi/o-linked 2-adrenergic receptor, which upon activation suppresses insulin secretion. The use of adrenergic agonist epinephrine at micromolar doses may have supraphysiological effects. We found that pretreating {beta} cells with micromolar concentrations of epinephrine differentially inhibited activation of receptor tyrosine kinases. We chose TrkB as an example because of its relative sensitivity to the effects of epinephrine and due to its potential regulatory role in the {beta} cell. Our characterization of brain-derived neurotrophic factor (BDNF)-TrkB signaling in MIN6 {beta} cells showed that TrkB is activated by BDNF as expected, leading to canonical TrkB autophosphorylation and subsequent downstream signaling, as well as chronic effects on {beta} cell growth. Micromolar, but not nanomolar, concentrations of epinephrine blocked BDNF-induced TrkB autophosphorylation and downstream mitogen-activated protein kinase pathway activation, suggesting an inhibitory phenomenon at the receptor level. We determined epinephrine-mediated inhibition of TrkB activation to be Gi/o-dependent using pertussis toxin, arguing against an off-target effect of high dose epinephrine. Published data suggested that inhibition of potassium channels or phosphoinositide-3-kinase signaling may abrogate the negative effects of epinephrine, however these did not rescue TrkB signaling in our experiments. Taken together, these results show that 1) TrkB kinase signaling occurs in {beta} cells and 2) use of epinephrine in studies of insulin secretion requires careful consideration of concentration-dependent effects. BDNF-TrkB signaling in {beta} cells may underlie pro-survival or growth signaling and warrants further study.

cell biology↗

Curcumin inhibits cystogenesis in autosomal dominant polycystic kidney disease cells via altering JAK2/STAT3 activity.

Dysregulated JAK/STAT signalling is implicated in polycystic kidney disease, which is a common genetic disease leading to renal failure. However, the mechanisms underlying JAK/STAT-mediated cystogenesis arepoorlyunderstood.TheroleofJAK2wasinvestigated immunohistochemically in a murine model of cystic disease (Pkd1nl/nl). In the normal kidney, JAK2 is restricted to tubular epithelial and vascular cells with lesser staining in bowmans capsule and is undetectable in the interstitium. By contrast, in the diseased kidney JAK2 appears stronger in cyst-lining cells when compared to normal tubules and appears mislocalised in the interstitium. Given that JAK2 is a major tyrosine kinase activating JAK/STAT, we considered whether its inhibition can attenuate cystic growth in vitro. To assess this we used curcumin, a natural phytochemical, which significantly reduced JAK2 levels and STAT3 activity. Consistently, reduced JAK2/STAT3 activity was correlated with reduced cystic growth of cystic cells in three-dimensional cyst assays. Taken together, our results suggest that JAK2 is a key signalling molecule that functions to inhibit cystic growth in cystic tubular epithelial cells, thus providing the foundation for its development as a novel therapeutic in polycystic kidney disease.

cell biology↗

The Structural Extraction of Chinese Medical Narratives

Medical narratives document a vast amount of clinical data. This data has a valuable secondary purpose, as it may be used to optimize health service delivery and improve the quality of medical care. However, medical narratives are typically recorded in an unstructured manner, which complicates the process of extracting the structured information required for optimization. In this paper, we address this problem by applying and comparing two models, a rule-based model and a model based on conditional random fields (CRFs), to a data set of Chinese medical narratives. Among 4626 manually annotated Chinese medical narratives, collected from Shanxi Dayi Hospital in China, the rule-based model achieved 95.87% precision, 69.82% recall, and an F-score of 80.80%, and the CRF-based model realized 95.99% precision, 65.11% recall, and a 77.59% F-score. These experimental results demonstrate the efficacy of both proposed models for structural extraction from Chinese medical narratives.

bioinformatics↗

Mucosal immunoglobulins protect the olfactory organ of teleost fish against parasitic infection

The olfactory organ of vertebrates receives chemical cues present in the air or water and, at the same time, they are exposed to invading pathogens. Nasal-associated lymphoid tissue (NALT), which serves as a mucosal inductive site for humoral immune responses against antigen stimulation, is present in teleosts and mammals. IgT in teleosts is responsible for similar functions to those carried by IgA in mammals. Moreover, teleost NALT is known to contain B-cells and teleost nasal mucus contains immunoglobulins (Igs). Yet, whether nasal B cells and Igs respond to infection remains unknown. We hypothesized that water-borne parasites can invade the nasal cavity of fish and elicit local specific immune responses. To address this hypothesis, we developed a model of bath infection with the Ichthyophthirius multifiliis (Ich) parasite in rainbow trout, Oncorhynchus mykiss, an ancient bony fish, and investigated the nasal adaptive immune response against this parasite. Critically, we found that Ich parasites in water could be reach the nasal cavity and successfully invade the nasal mucosa. Moreover, strong parasite-specific IgT responses were exclusively detected in the nasal mucus, and the accumulation of IgT+ B-cells was noted in the nasal epidermis after Ich infection. Strikingly, local IgT+ B-cell proliferation and parasite-specific IgT generation were found in the trout olfactory organ, providing new evidence that nasal-specific immune responses were induced locally by a parasitic challenge. Overall, our findings suggest that nasal mucosal adaptive immune responses are similar to those reported in other fish mucosal sites and that an antibody system with a dedicated mucosal Ig performs evolutionary conserved functions across vertebrate mucosal surfaces.\n\nAuthor SummaryThe olfactory organ is a vitally important chemosensory organ in vertebrates but it is also continuously stimulated by pathogenic microorganisms in the external environment. In mammals and birds, nasopharynx-associated lymphoid tissue (NALT) is considered the first line of immune defense against inhaled antigens and in bony fish, protecting against water-borne infections. However, although B-cells and immunoglobulins (Igs) have been found in teleost NALT, the defensive mechanisms of parasite-specific immune responses after pathogen challenge in the olfactory organ of teleost fish remain poorly understood. Considering that the NALT of all vertebrates has been subjected to similar evolutionary forces, we hypothesize that mucosal Igs play a critical role in the defense of olfactory systems against parasites. To confirm this hypothesis, we show the local proliferation of IgT+ B-cells and production of pathogen-specific IgT within the nasal mucosa upon parasite infection, indicating that parasite-specific IgT is the main Ig isotype specialized for nasal-adaptive immune responses. From an evolutionary perspective, our findings contribute to expanding our view of nasal immune systems and determining the fate of the host-pathogen interaction.

immunology↗

The draft genome sequence of mandrill (Mandrillus sphinx)

BackgroundMandrill (Mandrillus sphinx) is a primate species which belong to Old World monkey (Cercopithecidae) family. It is closely related to human, serving as model for some human diseases researches. However, genetic researches and genomic resources of mandrill were limited, especially comparing to other primate species.\n\nFindingsHere we sequenced 284 Gb data, providing 96-fold coverage (considering the estimate genome size of 2.9 Gb), to construct a reference genome for mandrill. The assembled draft genome was 2.79 Gb with contig N50 of 20.48 Kb and scaffold N50 of 3.56 Mb. We annotated the mandrill genome to find 43.83% repeat elements, as well as 21,906 protein coding genes. We found good quality of the draft genome and gene annotation by BUSCO analysis which revealed 98% coverage of the BUSCOs.\n\nConclusionsWe established the first draft genome sequence of mandrill, which is valuable resource for future evolutionary and human diseases studies.

genomics↗

Glutamic acid is a carrier for hydrazine during the biosyntheses of fosfazinomycin and kinamycin

Fosfazinomycin and kinamycin are natural products that contain nitrogen-nitrogen (N-N) bonds but that are otherwise structurally unrelated. Despite their considerable structural differences, their biosynthetic gene clusters share a set of genes predicted to facilitate N-N bond formation. In this study, we show that for both compounds, one of the nitrogen atoms in the N-N bond originates from nitrous acid. Furthermore, we show that for both compounds, an acetylhydrazine biosynthetic synthon is generated first and then funneled via a glutamyl carrier into the respective biosynthetic pathways. Therefore, unlike other pathways to NN bond-containing natural products wherein the N-N bond is formed directly on a biosynthetic intermediate, during the biosyntheses of fosfazinomycin, kinamycin, and related compounds, the N-N bond is made in an independent pathway that forms a branch of a convergent route to structurally complex natural products.

biochemistry↗

Unique molecular markers for GC-D-expressing olfactory sensory neurons and chemosensory neurons of the Grueneberg ganglion

The main olfactory bulb (MOB) is differentiated into subregions based on their innervation by molecularly distinct chemosensory neurons. For example, olfactory sensory neurons (OSNs) that employ a cGMP-mediated transduction cascade - guanylyl-cyclase D-expressing (GC-D+) OSNs of the main olfactory epithelium (MOE) and chemosensory neurons of the Grueneberg ganglion (GGNs) - project to distinct groups of \"necklace\" glomeruli encircling the caudal MOB. To better understand the unique functionality and neural circuitry of the necklace glomeruli and their associated sensory neurons, we sought to identify additional molecular markers that would differentiate GC-D+ OSNs and GGNs as well as their target glomeruli. We found in mouse that GC-D+ OSNs, but not other MOE OSNs or GGNs, express the neuropeptide CART (cocaine- and amphetamine-regulated transcript). Both GC-D+ OSNs and GGNs, but not other MOE OSNs, express the Ca2+/calmodulin-dependent phosphodiesterase Pde1a, which is immunolocalized throughout the dendrites, somata and axons of these neurons. Stronger Pde1a immunolabeling in necklace glomeruli innervated by GGNs than in those innervated by GC-D+ OSNs suggests either greater Pde1a expression in individual GGNs than in GC-D+ OSNs or a difference in sensory neuron innervation density between the two types of necklace glomeruli. Together, the unique molecular signatures of GC-D+ OSNs, GGNs and their MOB targets offer important tools for understanding the processing of chemosensory information by olfactory subsystems associated with the necklace glomeruli.

neuroscience↗

Autophagy Decreases Alveolar Epithelial Cell Injury by Suppressing the NF-κB Signaling Pathway and Regulating the Release of Inflammatory Mediators

To research the impact of autophagy on alveolar epithelial cell inflammation and its possible mechanism in early stages of hypoxia, we established a cell hypoxia-reoxygenation model and orthotopic left lung ischemia-reperfusion model. Rat alveolar epithelial cells stably expressing GFP-LC3 were treated with an autophagy inhibitor (3-methyladenine, 3-MA) or autophagy promoter (rapamycin), followed by hypoxia-reoxygenation treatment at 2, 4 and 6h in vitro. In vivo, twenty-four male Sprague-Dawley rats were randomly divided into four groups (model group: no blocking of hilum in the left lung; control group: blocking of hilum in the left lung for 1h with DMSO lavage; 3-MA group: blocking of hilum in the left lung for 1h with 100ml/kg of 3-MA (5mol/L) solution lavage; rapamycin group: blocking of hilum in the left lung for 1h with 100ml/kg of rapamycin (250nmol/L) solution lavage) to establish an orthotopic left lung ischemia model. This study demonstrated that rapamycin significantly suppressed the NF-{kappa}B signaling pathway, restrained the expression of pro-inflammatory factors. A contrary result was confirmed by 3-MA pretreatment. These findings indicate that autophagy reduces ischemia-reperfusion injury by repressing inflammatory signaling pathways in the early stage of hypoxia in vitro and in vivo. This could be a new protective method for lung ischemia-reperfusion injury.

cell biology↗

scQuery: a web server for comparative analysis of single-cell RNA-seq data

Single cell RNA-Seq (scRNA-seq) studies often profile upward of thousands of cells in heterogeneous environments. Current methods for characterizing cells perform unsupervised analysis followed by assignment using a small set of known marker genes. Such approaches are limited to a few, well characterized cell types. To enable large scale supervised characterization we developed an automated pipeline to download, process, and annotate publicly available scRNA-seq datasets. We extended supervised neural networks to obtain efficient and accurate representations for scRNA-seq data. We applied our pipeline to analyze data from over 500 different studies with over 300 unique cell types and show that supervised methods greatly outperform unsupervised methods for cell type identification. A case study of neural degeneration data highlights the ability of these methods to identify differences between cell type distributions in healthy and diseased mice. We implemented a web server that compares new datasets to collected data employing fast matching methods in order to determine cell types, key genes, similar prior studies, and more.

bioinformatics↗

Further expansion of methane metabolism in the Archaea

The recent discovery of key methane-metabolizing genes in the genomes from the archaeal phyla Bathyarchaeota and Verstraetearchaeota has expanded our understanding of the distribution of methane metabolism outside of the phylum Euryarchaeota. Here, we recovered two near-complete crenarchaeotal metagenome-assembled genomes (MAGs) from circumneutral hot springs that contain genes for methanogenesis, including the genes that encode for the key methyl-coenzyme M reductase (MCR) complex. These newly recovered archaea phylogenetically cluster with Geoarchaeota (deep lineage of archaeal order Thermoproteales), and the MCR-encoding genes clustered with the recently reported methanogens within the Verstraetearchaeota. In addition, genes encoding hydroxybutyryl-CoA dehydratase were identified in the newly recovered methanogens, indicating they might carry out the {beta}-oxidation process. Together, our findings further expanded the methane metabolism outside the phylum Euryarchaeota.

microbiology↗

Inter-annual variation in seasonal dengue epidemics driven bymultiple interacting factors in Guangzhou, China

Vector-borne diseases display wide inter-annual variation in seasonal epidemic size due to their complex dependence on temporally variable environmental conditions and other factors. In 2014, Guangzhou, China experienced its worst dengue epidemic on record, with incidence exceeding the historical average by two orders of magnitude. To disentangle contributions from multiple factors to inter-annual variation in epidemic size, we fitted a semi-mechanistic model to time series data from 2005-2015 and performed a series of factorial simulation experiments in which seasonal epidemics were simulated under all combinations of year-specific patterns of four time-varying factors: imported cases, mosquito density, temperature, and residual variation in local conditions not explicitly represented in the model. Our results indicate that while epidemics in most years were limited by unfavorable conditions with respect to one or more factors, the epidemic in 2014 was made possible by the combination of favorable conditions for all factors considered in our analysis.

epidemiology↗