Biology subjects

Huang, S.

Publications and source records attributed to Huang, S..

At least 433 records · Page 24Linked to original sources

bioRxiv2018

Drosophila scribble mutant tumors undergo a transition from a growth arrest state to a proliferative state over time

The Drosophila neoplastic tumor suppressor gene (nTSG) mutant tumors have successfully modeled many aspects of human tumor progression. However, the fly nTSG mutant tumors progress rapidly over days. This is in contrast with most human tumors which develop slowly, harbor heterogeneous cell populations for selection and undergo an evolution-like process. Whether the fast-growing fly nTSG mutant tumors have capacity for evolution remains unclear. Through quantitative analysis of the scrib mutant tumor growth, we found that the scrib mutant tumors evolve to display different growth rates and cell cycle profiles over time. Multiple growth-regulatory signaling pathways show quantitative differences in early versus late scrib mutant tumors. These data suggest that the scrib mutant tumors undergo a transition from a growth arrest state to a proliferative state. Through longitudinal single cell RNA (scRNA) data analysis we found that the scrib mutant tumors harbor heterogeneous cell populations likely of distinct proliferative states, which are available for potential selection. This study raises the possibility of studying tumor evolution in a genetically accessible and fast-growing invertebrate tumor model.

developmental biology↗

bioRxiv2018

Jackknife model averaging prediction methods for complex phenotypes with gene expression levels by integrating external pathway information

MotivationIn the past few years many novel prediction approaches have been proposed and widely employed in high dimensional genetic data for disease risk evaluation. However, those approaches typically ignore in model fitting the important group structures or functional classifications that naturally exists in genetic data.\n\nMethodsIn the present study, we applied a novel model averaging approach, called Jackknife Model Averaging Prediction (JMAP), for high dimensional genetic risk prediction while incorporating KEGG pathway information into the model specification. JMAP selects the optimal weights across candidate models by minimizing a cross-validation criterion in a jackknife way. Compared with previous approaches, one of the primary features of JMAP is to allow model weights to vary from 0 to 1 but without the limitation that the summation of weights is equal to one. We evaluated the performance of JMAP using extensive simulation studies and compared it with existing methods. We finally applied JMAP to five real cancer datasets that are publicly available from TCGA.\n\nResultsThe simulations showed that, compared with other existing approaches, JMAP performed best or are among the best methods across a range of scenarios. For example, among 14 out of 16 simulation settings with PVE=0.3, JMAP has an average of 0.075 higher prediction accuracy compared with gsslasso. We further found that in the simulation the model weights for the true candidate models have much smaller chances to be zero compared with those for the null candidate models and are substantially greater in magnitude. In the real data application, JMAP also behaves comparably or better compared with the other methods for both continuous and binary phenotypes. For example, for the COAD, CRC and PAAD data sets, the average gains of predictive accuracy of JMAP are 0.019, 0.064 and 0.052 compared with gsslasso.\n\nConclusionThe proposed method JMAP is a novel method that can provide more accurate phenotypic prediction while incorporating external useful group information.

genomics↗

bioRxiv2018

A Bayesian model of acquisition and clearance of bacterial colonization incorporating within-host variation

Bacterial populations that colonize a host can play important roles in host health, including serving as a reservoir that transmits to other hosts and from which invasive strains emerge, thus emphasizing the importance of understanding rates of acquisition and clearance of colonizing populations. Studies of colonization dynamics have been based on assessment of whether serial samples represent a single population or distinct colonization events. With the use of whole genome sequencing to determine genetic distance between isolates, a common solution to estimate acquisition and clearance rates has been to assume a fixed genetic distance threshold below which isolates are considered to represent the same strain. However, this approach is often inadequate to account for the diversity of the underlying within-host evolving population, the time intervals between consecutive measurements, and the uncertainty in the estimated acquisition and clearance rates. Here, we present a fully Bayesian model that provides probabilities of whether two strains should be considered the same, allowing us to determine bacterial clearance and acquisition from genomes sampled over time. Our method explicitly models the within-host variation using population genetic simulation, and the inference is done using a combination of Approximate Bayesian Computation (ABC) and Markov Chain Monte Carlo (MCMC). We validate the method with multiple carefully conducted simulations and demonstrate its use in practice by analyzing a collection of methicillin resistant Staphylococcus aureus (MRSA) isolates from a large recently completed longitudinal clinical study. An R-code implementation of the method is freely available at: https://github.com/mjarvenpaa/bacterial-colonization-model.git.\n\nAuthor summaryAs colonizing bacterial populations are the source for much transmission and a reservoir for infection, they are a major focus of interest clinically and epidemiologically. Understanding the dynamics of colonization depends on being able to confidently identify acquisition and clearance events given intermittent sampling of hosts. To do so, we need a model of within-host bacterial population evolution from acquisition through the time of sampling that enables estimation of whether two samples are derived from the same population. Past efforts have frequently relied on empirical genetic distance thresholds that forgo an underlying model or employ a simple molecular clock model. Here, we present an inferential method that accounts for the timing of sample collection and population diversification, to provide a probabilistic estimate for whether two isolates represent the same colonizing strain. This method has implications for understanding the dynamics of acquisition and clearance of colonizing bacteria, and the impact on these rates by factors such as sensitivity of the sampling method, pathogen genotype, competition with other carriage bacteria, host immune response, and antibiotic exposure.

bioinformatics↗

bioRxiv2018

The Lineage-Specific Transcription Factor CDX2 Navigates Dynamic Chromatin to Control Distinct Stages of Intestine Development

Lineage-restricted transcription factors, such as the intestine-specifying factor CDX2, often have dual requirements across developmental time. Embryonic-loss of CDX2 triggers homeotic transformation of intestinal fate, while adult-onset Cdx2-loss compromises critical physiological functions but preserves intestinal identity. It is unclear how such diverse requirements are executed across the developmental continuum. Using primary and engineered human tissues, mouse genetics, and a multi-omics approach, we demonstrate that divergent CDX2 loss-of-function phenotypes in embryonic versus adult intestines correspond to divergent CDX2 chromatin-binding profiles in embryonic versus adult stages. CDX2 binds and activates distinct target genes in developing versus adult mouse and human intestinal cells. We find that temporal shifts in chromatin accessibility correspond to these context-specific CDX2 activities. Thus, CDX2 is not sufficient to activate a mature intestinal program, but rather, CDX2 responds to its environment, targeting stage-specific genes to contribute to either intestinal patterning or maturity. This study provides insights into the mechanisms through which lineage-specific regulatory factors achieve divergent functions over developmental time.

developmental biology↗

bioRxiv2018

Tissue-expression profiles unveils the gene interaction of hepatopancreas, eyestalk, and ovary in precocious female Chinese mitten crab, Eriocheir sinensis

Sexual precocity is a serious and common biological phenomenon in animal species. Large amount of precocity individuals was identified in Chinese mitten crab, Eriocheir sinensis, which caused huge economical loss every year. However, the underlying genetic basis of precocity in E. sinensis is still lack. In this study, histology observation, comparative transcriptome was conducted among different stages of precocious one-year old and normal two-year old E. sinensis, tissue-expression profiles of ovary, hepatopancreas, and eyestalk tissues were presented and compared. Genes associated with lipid metabolic process, lipid transport, vitelline membrane formation, vitelline synthesis and neuropeptide hormone related genes were upregulated in the ovary, hepatopancreas and eyestalk of precocious E. sinensis. Our results indicated eyestalk involved in neuroendocrine system providing neuropeptide hormone that may induce vitellogenesis in hepatopancreas and further stimulate ovary development. Hepatopancreas is a site for energy storage, vitellogenin synthesis and may assist to induce oogenesis through lipid transport in precocious E. sinensis. The genetic basis of precocity in E. sinensis is an integrated gene regulatory network of eyestalk, hepatopancreas, and ovary tissues. Our study provides effective convenient phenotype measurement method for identification of potential precocious E. sinensis detection, and valuable genetic resources and novel insights into the research of molecular mechanism of precocity in E. sinensis.

bioinformatics↗

bioRxiv2018

Genetic continuity in the last seven Millennia in human hepatitis B viruses

Hepatitis B virus (HBV) is a major human pathogen and yet the evolution history of HBV has largely remained uncertain. With a better theoretical understanding of genetic diversity, we here used a new method to examine the previously published ancient and present day HBV genomes. We identified an informative region in the HBV polymerase that is slow evolving and used it to study genetic distances among HBVs. Three ancient human HBV isolates from 4488-7074 years ago in Germany were identified as genotype G that is also presently common in the same country. We constructed a new phylogenetic tree of HBVs that placed genotype D as the most basal branch with an inferred age of ~20500 years, which is remarkably consistent with the worldwide distribution and a most parsimonious migration route of HBV genotypes today. These results help resolve the evolutionary history of HBV and provide a useful method for studying the phylogenetics of HBV and other viruses in general.

evolutionary biology↗

bioRxiv2018

Dynamic recovery from depression enables rate encoding in inhibitory synapses

Fast-spiking parvalbumin positive interneurons (PV-INs) are essential for controlling network firing and the gain of the cortical response to sensory stimulation. Crucial for these functions, PV-INs can sustain high frequency firing with no accommodation. However, PV-INs also exhibit short-term depression (STD) during sustained activation, which is largely due to the depletion of synaptic resources (vesicles). In most synapses the rate of replenishment of depleted vesicles is constant, determining an inverse relationship between the STD level and the activation rate, which theoretically, severely limits rate coding capabilities. We examined STD of the PV-IN to pyramidal cell synapse in the mouse visual cortex, and found that in these synapses the recovery of depleted resources is not constant but increases linearly with the frequency of use. By combining modeling, dynamic clamp and optogenetics, we demonstrated that this dynamic regulation of recovery enables PV-INs to reduce pyramidal cell firing in a linear manner, which, theoretically, is crucial for controlling the gain of cortical visual responses.

neuroscience↗

bioRxiv2018

Non-adhesive alginate hydrogels support growth of pluripotent stem cell-derived intestinal organoids

Human intestinal organoids (HIOs) represent a powerful system to study human development and are promising candidates for clinical translation as drug-screening tools or engineered tissue. Experimental control and clinical use of HIOs is limited by growth in expensive and poorly defined tumor-cell-derived extracellular matrices, prompting investigation of synthetic ECM-mimetics for HIO culture. Since HIOs possess an inner epithelium and outer mesenchyme, we hypothesized that adhesive cues provided by the matrix may be dispensable for HIO culture. Here, we demonstrate that alginate, a minimally supportive hydrogel with no inherent cell adhesion properties, supports HIO growth in vitro and leads to HIO epithelial differentiation that is virtually indistinguishable from Matrigel-grown HIOs. Additionally, alginate-grown HIOs mature to a similar degree as Matrigel-grown HIOs when transplanted in vivo, both resembling human fetal intestine. This work demonstrates that purely mechanical support from a simple-to-use and inexpensive hydrogel is sufficient to promote HIO survival and development.

developmental biology↗

bioRxiv2018

Heterogeneous timing of asexual cycles in Plasmodium falciparum quantified by extended time-lapse microscopy

Malarial fever arises from the synchronous bursting of human red blood cells by the Plasmodium parasite. The released parasites re-infect neighboring red blood cells and undergo another asexual cycle of differentiation and proliferation for 48 hours, before again bursting synchronously. The synchrony of bursting is lost during in vitro culturing of the parasite outside the human body, presumably because the asexual cycle is no longer entrained by host-specific circadian cues. Therefore, most in vitro malaria studies have relied on the artificial synchronization of the parasite population. However, much remains unknown about the degree of timing heterogeneity of asexual cycles and how artificial synchronization may affect this timing. Here, we combined time-lapse fluorescence microscopy and long-term culturing to follow single cells and directly measure the heterogeneous timing of in vitro asexual cycles. We first demonstrate that unsynchronized laboratory cultures are not fully asynchronous and the parasites exhibit a bimodal distribution in their first burst times. We then show that synchronized and unsynchronized cultures had similar asexual cycle periods, which indicates that artificial synchronization does not fundamentally perturb asexual cycle dynamics. Last, we demonstrate that sibling parasites descended from the same schizont exhibited significant variation in asexual cycle period, although smaller than the variation between non-siblings. The additional variance between non-siblings likely arises from the variable environments and/or developmental programs experienced in different host cells.

microbiology↗

bioRxiv2018

Enhancement of Macrophage Function by the Antimicrobial Peptide Sublancin Protects Mice from Methicillin-Resistant Staphylococcus aureus

Methicillin-resistant Staphylococcus aureus (MRSA) is the major pathogen responsible for community and hospital bacterial infections. Sublancin, a glocosylated antimicrobial peptide isolated from Bacillus subtilis 168, possesses anti-bacterial infective effects. In this study, we investigated the role and anti-infection mechanism of sublancin in a mouse model of MRSA-induced sublethal infection. Sublancin could modulate innate immunity by inducing the production of IL-1{beta}, IL-6, TNF- and nitric oxide, enhancing phagocytosis and MRSA-killing activity in both RAW264.7 cells and peritoneal macrophages. The enhanced macrophage function by the peptide in vitro correlated with stronger protective activity in vivo in the MRSA-invasive sublethal infection model. Macrophages activation by sublancin was found to be mediated through the TLR4 and the NF-{kappa}B and MAPK signaling pathways. Moreover, oral administration of sublancin increased the frequencies of CD4+ and CD8+ T cells in mesenteric lymph nodes. The protective activity of sublancin was associated with in vivo augmenting phagocytotic activity of peritoneal macrophages and partly improving T cell-mediated immunity. Macrophages thus represent a potentially pivotal and novel target for future development of innate defense regulator therapeutics againt S. aureus infection.

immunology↗

bioRxiv2018

Fast and simple comparison of semi-structured data, with emphasis on electronic health records

We present a locality-sensitive hashing strategy for summarizing semi-structured data (e.g., in JSON or XML formats) into data fingerprints: highly compressed representations which cannot recreate details in the data, yet simplify and greatly accelerate the comparison and clustering of semi-structured data by preserving similarity relationships. Computation on data fingerprints is fast: in one example involving complex simulated medical records, the average time to encode one record was 0.53 seconds, and the average pairwise comparison time was 3.75 microseconds. Both processes are trivially parallelizable.\n\nApplications include detection of duplicates, clustering and classification of semi-structured data, which support larger goals including summarizing large and complex data sets, quality assessment, and data mining. We illustrate use cases with three analyses of electronic health records (EHRs): (1) pairwise comparison of patient records, (2) analysis of cohort structure, and (3) evaluation of methods for generating simulated patient data.

bioinformatics↗

bioRxiv2018

Jagged1/Notch2 Controls Kidney Fibrosis via Tfam-mediated Metabolic Reprogramming

While Notch signaling has been proposed to play a key role in fibrosis, the direct molecular pathways targeted by Notch signaling and the precise ligand and receptor pair that are responsible for kidney disease remain poorly defined.\n\nIn this study, we found that JAG1 and NOTCH2 showed the strongest correlation with the degree of interstitial fibrosis in a genome wide expression analysis of a large cohort of human kidney samples. RNA sequencing analysis of kidneys of mice with folic acid nephropathy, unilateral ureteral obstruction, or APOL1-associated kidney disease indicated that Jag1 and Notch2 levels were higher in all analyzed kidney fibrosis models. Mice with tubule-specific deletion of Jag1 or Notch2 (Kspcre/Jag1flox/flox, and Kspcre/Notch2flox/flox) had no kidney-specific alterations at baseline, but showed protection from folic acid induced kidney fibrosis. Tubule-specific genetic deletion of Notch1 and global knock-out of Notch3 had no effect on fibrosis. In vitro chromatin immunoprecipitation experiments and genome-wide expression studies identified the mitochondrial transcription factor A (Tfam) as a direct Notch target. Re-expression of Tfam in tubule cells prevented Notch-induced metabolic and profibrotic reprogramming. Kidney tubule specific deletion of Tfam resulted in perinatal lethality.\n\nIn summary, Jag1/Notch2 plays a key role in kidney fibrosis development by regulating Tfam expression and metabolic reprogramming.

pathology↗

bioRxiv2018

Cullin1 represses systematic inflammasome activation by binding and catalyzing NLRP3 ubiquitination

Activation of the NLRP3 inflammasome is a key process of host immune response, the first line of defense against cellular stresses and pathogen infections. However, excessive inflammasome activation damages the hosts, and thus it must be precisely controlled. The mechanism underlying the repression of systematic inflammasome activation remains largely unknown. This study reveals that CUL1, a key component of the SCF E3 ligase, plays a critical role in regulation of the inflammasome. CUL1 suppresses the inflammasome activation in HEK293T cells, inhibits endogenous NLRP3 in macrophages, and represses inflammatory responses in C57BL/6 mice. Under normal physiological conditions, CUL1 interacts with NLRP3 to disrupt the inflammasome assembly, and catalyzes NLRP3 ubiquitination to repress the inflammasome activation. In response to inflammatory stimuli, CUL1 disassociates from NLRP3 to release the repression of NLRP3 inflammasome activation. This work reveals a distinct mechanism underlying the repression of inflammasome activation under physiological conditions and the induction of inflammasome activation in response to inflammatory stimuli, and thus provides insights into the prevention and treatment of infectious and inflammatory diseases.

immunology↗

bioRxiv2018

Single-molecule optical mapping enables accurate molecular diagnosis of facioscapulohumeral muscular dystrophy (FSHD)

Facioscapulohumeral Muscular Dystrophy (FSHD) is a common adult muscular dystrophy in which the muscles of the face, shoulder blades and upper arms are among the most affected. FSHD is the only disease in which \"junk\" DNA is reactivated to cause disease, and the only known repeat array-related disease where fewer repeats cause disease. More than 95% of FSHD cases are associated with copy number loss of a 3.3kb tandem repeat (D4Z4 repeat) at the subtelomeric chromosomal region 4q35, of which the pathogenic allele contains less than 10 repeats and has a specific genomic configuration called 4qA. Currently, genetic diagnosis of FSHD requires pulsed-field gel electrophoresis followed by Southern blot, which is labor-intensive, semi-quantitative and requires long turnaround time. Here, we developed a novel approach for genetic diagnosis of FSHD, by leveraging Bionano Saphyr single-molecule optical mapping platform. Using a bioinformatics pipeline developed for this assay, we found that the method gives direct quantitative measurement of repeat numbers, can differentiate 4q35 and the highly paralogous 10q26 regions, can determine the 4qA/4qB allelic configuration, and can quantitate levels of post-zygotic mosaicism. We evaluated this approach on 5 patients (including two with post-zygotic mosaicism) and 2 patients (including one with post-zygotic mosaicism) from two separate cohorts, and had complete concordance with Southern blots, but with improved quantification of repeat numbers resolved between haplotypes. We concluded that single-molecule optical mapping is a viable approach for molecular diagnosis of FSHD and may be applied in clinical diagnostic settings once more validations are performed.

genomics↗

bioRxiv2018

Lilikoi: an R package for personalized pathway-based classification modeling using metabolomics data

Lilikoi (Hawaiian word for passion fruit) is a new and comprehensive R package for personalized pathway based classification modelling, using metabolomics data. Four basic modules are presented as the backbone of the package: 1) Feature mapping module, which standardizes the metabolite names provided by users, and map them to pathways. 2) Dimension transformation module, which transforms the metabolomic profiles to personalized pathway-based profiles using pathway deregulation scores (PDS). 3) Feature selection module which helps to select the significant pathway features related to the disease phenotypes, and 4) Classification and prediction module which offers various machine-learning classification algorithms. The package is freely available under the GPLv3 license through the github repository at: https://github.com/lanagarmire/lilikoi

bioinformatics↗

bioRxiv2018

A novel GATA-binding protein 4 gene variation associated with familial atrial septal defect

Atrial septal defect (ASD) is the most common congenital heart defect. Part of ASD exhibits familial predisposition, but the genetic mechanism remains largely unknown. In the current study, we use multiple methods to identify and confirm the gene associated with a familial ASD. Chromosomal microarray analyses, whole exome sequencing, Sanger sequencing, multiple bioinformatics programs, in silico protein structure modeling and molecular dynamics simulation were performed to predict the pathogenic of the variant gene. Dual-Luciferase reporter gene assay was performed to evaluate the influence of downstream target gene of the target variation. A novel, heterozygous, missense variant GATA-binding protein 4 (GATA4):c.958C>T, p.R320W was identified. An autosomal dominant inheritance pattern with incomplete penetrance was observed in the family. Multiple prediction indicate the variant in GATA4 to be deleterious. Molecular dynamics simulation further revealed that the variation of p.R320W could prevent the zinc finger of GATA4 from interacting with the DNA. Dual-Luciferase reporter assay demonstrated a significant decrease in transcriptional activity (0.90{+/-}0.099 vs 1.50{+/-}0.079, p = 0.001) of the variant GATA4 compared with the wild type. We believe the novel variation of GATA4 (c.958C>T, p.R320W) with a pattern of incomplete inheritance that may be highly associated with this familial ASD. The finding enriched our knowledge of variations that may associated with ASD.

genetics↗

bioRxiv2018

Generation of pulmonary neuro-endocrine cells and tumors resembling small cell lung cancers from human embryonic stem cells

SUMMARYBy blocking an important signaling pathway (called NOTCH) and interfering with expression of two tumor suppressor genes in cells derived from human embryonic stem cells, the authors have developed a model for studying highly lethal small cell lung cancers.\n\nABSTRACTCell culture models based on directed differentiation of human embryonic stem cells (hESCs) may reveal why certain constellations of genetic changes drive carcinogenesis in specialized human cell lineages. Here we demonstrate that up to 10 percent of lung progenitor cells derived from hESCs can be induced to form pulmonary neuroendocrine cells (PNECs), the putative normal precursors to small cell lung cancers (SCLCs), by inhibition of NOTCH signaling. By using small inhibitory RNAs in these cultures to reduce levels of retinoblastoma (RB) protein, the product of a gene commonly mutated in SCLCs, we can significantly expand the number of PNECs. Similarly reducing levels of TP53 protein, the product of another tumor suppressor gene commonly mutated in SCLCs, or expressing mutant KRAS or EGFR genes, did not induce or expand PNECs, consistent with lineage-specific sensitivity to loss of RB function. Tumors resembling early stage SCLC grew in immunodeficient mice after subcutaneous injection of PNEC-containing cultures in which expression of both RB and TP53 was blocked. Single-cell RNA profiles of PNECs are heterogeneous; when RB levels are reduced, the profiles show similarities to RNA profiles from early stage SCLC; when both RB and TP53 levels are reduced, the transcriptome is enriched with cell cycle-specific RNAs. Taken together, these findings suggest that genetic manipulation of hESC-derived pulmonary cells will enable studies of the initiation, progression, and treatment of this recalcitrant cancer.

cancer biology↗

bioRxiv2017

De novo mutations in autism spectrum disorders and an empirical test of the neutral DNA model

The genetic basis of autism spectrum disorders (ASD) remains better understood and might concern only a small fraction of the genome if the neutral theory were true. We here analyzed published de novo mutations (DNMs) in ASD and controls. We found that DNMs in normal subjects occurred at positions bearing SNPs at least 3.45 fold more frequent than expected from the neutral theory, whereas DNMs in ASD were less frequent relative to those in controls, especially so for common SNPs with minor allele frequency >0.01. Among sites bearing both SNPs and DNMs, DNMs in controls occurred significantly more frequent than DNMs in ASD at reference allele sites bearing C or G nucleotides, indicating depletion of ASD associated DNMs in known regions of hypermutability or less functional constraints such as CpG sites. We also analyzed the nucleotide compositions of DNMs and the parity (1:1 ratio) of pyrimidines and purines. We found that DNMs in ASD showed overall lower AT content than that in controls. Parity violations and AT bias in DNMs occurred at expected frequency based on chance in both ASD and controls. These results show enrichment of DNMs at positions bearing SNP sites and C or G sites in normal subjects and less so in ASD, which is not expected from the neutral model, and indicate that DNMs are on average more deleterious in ASD than in controls.

evolutionary biology↗