Biology subjects

Huang, J.

Publications and source records attributed to Huang, J..

At least 595 records · Page 33Linked to original sources

bioRxiv2020

Module analysis using single-patient differential expression signatures improve the power of association study for Alzheimer's disease

The causal mechanism of Alzheimers disease is extremely complex. It usually requires a huge number of samples to achieve a good statistical power in association studies. In this work, we illustrated a different strategy to identify AD risk genes by clustering AD patients into modules based on their single-patient differential expression signatures. Evaluation suggested that our method could enrich AD patients with common clinical manifestations. Applying it to a cohort of only 310 AD patients, we identified 175 AD risk loci at a strict threshold of empirical p < 0.05 while only two loci were identified using all the AD patients. As an evaluation, we collected 23 AD risk genes reported in a recent large-scale meta-analysis and found that 18 of them were re-discovered by association studies using clustered AD patients, while only three of them were re-discovered using all AD patients. Functional annotation suggested that AD associated genetic variants mainly disturbed neuronal/synaptic function. Our results suggested module analysis, even randomly clustering, helped to enrich AD patients affected by the common risk variants.

genetics↗

bioRxiv2019

Design to Data for mutants of β-glucosidase B from Paenibacillus polymyxa: Q22T, W123R, F155G, Y169M, W438D, V401A

A key goal of protein engineering is to accurately model the stability and catalytic activity of enzymes. However, the limitations of functional predictive abilities pose a major challenge for modeling algorithm design, and can be attributed to the lack of large data sets quantifying the functional properties of enzymes. Here, the thermal stability (TM) and Michaelis-Menten constants (kcat, KM, and kcat/KM) of six new variants of the {beta}-glucosidase B (BglB) protein are quantitatively characterized. Molecular stability of the enzyme variants were hypothesized using the Foldit software and BglB was synthesized in E. coli cells. Testing was done through a colorimetric kinetic assay and thermal stability fluorescence-based protein unfolding assay. Results from the assays suggest that all mutations, with the exception of variant Y169M, all experienced reduced catalytic efficiency compared to the wildtype. Assay results indicate that variant W123R is more thermally stable compared to the wildtype, while the differences in thermal stability between the other variants, and the wildtype are negligible. The collected thermal stability and catalytic efficiency data has been added to a data set with the aim of improving Rosetta algorithms for modeling and predicting the functional interactions between biomolecules through a machine learning algorithm and facilitate the precise engineering of protein catalysts.

biochemistry↗

bioRxiv2019

An upstream open reading frame represses translation of chicken PPARγ transcript variant 1

Peroxisome proliferator-activated receptor {gamma} (PPAR{gamma}) is a master regulator of adipogenesis. The PPAR{gamma} gene produces various transcripts with different 5'-untranslated regions (5' UTRs) because of alternative promoter usage and splicing. The 5' UTR plays important roles in posttranscriptional gene regulation. However, to date, the regulatory role and underlying mechanism of 5' UTRs in the posttranscriptional regulation of PPAR{gamma} expression remain largely unclear. In this study, we investigated the effects of 5' UTRs on posttranscriptional regulation using reporter assays. Our results showed that the five PPAR{gamma} 5' UTRs exerted different effects on reporter gene activity. Bioinformatics analysis showed that chicken PPAR{gamma} transcript 1 (PPAR{gamma}1) possessed an upstream open reading frame (uORF) in its 5' UTR. Mutation analysis showed that a mutation in the uORF led to increased Renilla luciferase activity and PPAR{gamma} protein expression, but decreased Renilla luciferase and PPAR{gamma}1 mRNA expression. mRNA stability analysis using real-time RT-PCR showed that the uORF mutation did not interfere with mRNA stability, but promoter activity analysis of the cloned 5' UTR showed that the uORF mutation reduced promoter activity. Furthermore, in vitro transcription/translation assays demonstrated that the uORF mutation markedly increased the translation of PPAR{gamma}1 mRNA. Collectively, our results indicate that the uORF represses the translation of chicken PPAR{gamma}1 mRNA.

molecular biology↗

bioRxiv2019

2'3'-cGAMP triggers a STING and NF-κB dependent broad antiviral response in Drosophila

We recently reported that an orthologue of STING regulates infection by picorna-like viruses in drosophila. In mammals, STING is activated by the cyclic dinucleotide 23-cGAMP produced by cGAS, which acts as a receptor for cytosolic DNA. Here, we show that injection of flies with 23-cGAMP can induce expression of dSTING-regulated genes. Co-injection of 23-cGAMP with a panel of RNA or DNA viruses results in significant reduction of viral replication. This 23-cGAMP-mediated protection is still observed in flies mutant for the genes Atg7 and AGO2, which encode key components of the autophagy and small interfering RNA pathways, respectively. By contrast, it is abrogated in flies mutant for the NF-{kappa}B transcription factor Relish. Analysis of the transcriptome of 23-cGAMP injected flies reveals a complex pattern of response, with early and late induced genes. Our results reveal that dSTING regulates an NF-{kappa}B-dependent antiviral program, which predates the emergence of Interferon Regulatory Factors and interferons in vertebrates.

immunology↗

bioRxiv2019

Early Inhibition of Retinoic Acid Signaling Rapidly Generates Cardiomyocytes Expressing Ventricular Markers from Human Induced Pluripotent Stem Cells

SUMMARYCurrent protocols for the differentiation of cardiomyocytes from human induced pluripotent stem cells (iPSCs) generally require prolonged time in culture and result in heterogeneous cellular populations. We present a method for the generation of beating cardiomyocytes expressing specific ventricular markers after just 14 days. Addition of the pan-retinoic acid receptor inverse agonist BMS 493 to human iPSCs for the first 8 days of differentiation resulted in increased protein expression of the ventricular isoform of myosin regulatory light chain (MLC2V) from 18.7% {+/-} 1.72% to 55.8% {+/-} 11.4% (p <0.0001) in cells co-expressing the cardiac muscle protein troponin T (TNNT2). Increased MLC2V expression was also accompanied by a slower beating rate (49.4 {+/-} 1.53 vs. 93.0 {+/-} 2.81 beats per minute, p <0.0001) and increased contraction amplitude (201% {+/-} 8.33% vs. 100% {+/-} 10.85%, p <0.0001) compared to untreated cells. Improved directed differentiation will improve in vitro cardiac modeling.

cell biology↗

bioRxiv2019

qKW9 encodes a pentatricopeptide repeat protein affecting photosynthesis and grain filling in maize

Kernel weight is an important yield component in maize that was selected during domestication. Many kernel weight genes have been identified through mutant analysis, and are mostly involved in the biogenesis and functional maintenance of organelles or other fundamental cellular activities. However, only a limited number of loci underlying quantitative variation in kernel weight have been cloned. Here we characterize a maize kernel weight QTL, qKW9 and find that it encodes a DYW motif pentatricopeptide repeat protein involved in C-to-U editing of NdhB, a subunit of the chloroplast NADH dehydrogenase-like complex. In a null qKW9 background, C-to-U editing of NdhB was abolished, and photosynthesis was reduced, suggesting that qKW9 regulates kernel weight by controling the maternal source of photosynthate for grain filling. Characterization of qKW9 highlights the importance of optimizing photosynthesis on maize grain yield production.

plant biology↗

bioRxiv2019

The rice PPR756 coordinates with MORFs for multiple RNA editing in mitochondria

In land plants, the pentatricopeptide repeat (PPR) proteins form a large family involved in post-transcriptional processing of RNA in mitochondria and chloroplasts, which is critical for plant development and evolutionary adaption. Although studies showed a number of PPR proteins generally influence the editing of organellar genes, few of them were characterized in detail in rice. Here, we report a PLS-E subclass PPR protein in rice, PPR756, loss of function of which led to the abolishment of RNA editing events among three mitochondrial genes including atp6, ccmC, and nad7. Their defective C-to-U transformation then resulted in improper amino acid retention which could cause abortive pollen development. Furthermore, PPR756 could bind to the three target genes directly and interact with three OsMORFs (multiple organellar RNA editing factors): OsMORF1, OsMORF8-1, and OsMORF8-2. The knock-out plants of PPR756 exhibited retarded growth and greener leaves during the early vegetative stages, along with sterile pollen and lower seed setting at the reproductive stage. These results established a role for PPR756 in rice development, participating in RNA editing of three various transcripts and cooperating with OsMORFs via an editosome manner in rice.

developmental biology↗

bioRxiv2019

The right temporoparietal junction is causally associated with embodied perspective taking

Several theories exist pertaining to the role of the right temporoparietal junction (rTPJ) in social cognition. A prominent theory claims the rTPJ is especially associated with embodied processes. In the present study we use high-definition transcranial direct current stimulation (HD-tDCS) to provide evidence that the rTPJ is causally associated with the embodied processes underpinning perspective taking. Eighty-eight young human adults were stratified to receive either rTPJ or dorsomedial prefrontal (dmPFC) anodal HD-tDCS in a sham-controlled, double-blind, repeated-measures design. Perspective tracking (line-of-sight) and perspective taking (embodied rotation) were assessed using a visuo-spatial perspective taking (VPT) task that required understanding what another person could see or how they see it, respectively. Embodied processing was manipulated by positioning the participant in a manner congruent or incongruent with the orientation of an avatar on the screen. As perspective taking, but not perspective tracking, is influenced by bodily posture, this allows the investigation of the specific causal role for the rTPJ in embodied processing. Crucially, anodal stimulation to the rTPJ increased the effect of bodily posture during perspective taking, whereas no such effects were identified during perspective tracking, thereby providing evidence for a causal role for the rTPJ in the embodied component of perspective taking. Stimulation to the dmPFC had no effect on perspective tracking or taking. Therefore, the present study provides support for theories postulating that the rTPJ is causally involved in embodied cognitive processing relevant to social functioning.\n\nSignificance StatementThe ability to understand anothers perspective is a fundamental component of social functioning. Adopting another perspective is thought to involve both embodied and non-embodied processes. The present study used high-definition transcranial direct current stimulation (HD-tDCS) and provided causal evidence that the right temporoparietal junction (rTPJ) is involved specifically in the embodied component of perspective taking. Specifically, HD-tDCS to the rTPJ, but not another hub of the social brain (dmPFC), increased the effect of body posture during perspective taking, but not tracking. This is the first causal evidence that HD-tDCS can modulate social embodied processing in a site-specific and task-specific manner.

neuroscience↗

bioRxiv2019

Learning the properties of adaptive regions with functional data analysis

Identifying regions of positive selection in genomic data remains a challenge in population genetics. Most current approaches rely on comparing values of summary statistics calculated in windows. We present an approach termed SURFDAWave, which translates measures of genetic diversity calculated in genomic windows to functional data. By transforming our discrete data points to be outputs of continuous functions defined over genomic space, we are able to learn the features of these functions that signify selection. This enables us to confidently identify complex modes of natural selection, including adaptive introgression. We are also able to predict important selection parameters that are responsible for shaping the inferred selection events. By applying our model to human population-genomic data, we recapitulate previously identified regions of selective sweeps, such as OCA2 in Europeans, and predict that its beneficial mutation reached a frequency of 0.02 before it swept 1,802 generations ago, a time when humans were relatively new to Europe. In addition, we identify BNC2 in Europeans as a target of adaptive introgression, and predict that it harbors a beneficial mutation that arose in an archaic human population that split from modern humans within the hypothesized modern human-Neanderthal divergence range.

genomics↗

bioRxiv2019

Effects of CXCL12/CXCR4/CXCR7 axis on human sperm motility and chemotaxis

Mammalian spermatozoa undergo a series of functional changes in the female genital tract before they can fertilize oocytes. Chemokines and their receptors are involved in these complex biological events. However, the detailed molecular mechanisms on the modulation of chemokines on spermatozoa still need to be elucidated. CXCL12, a chemokine, has been widely studied in leukocyte migration and. Here we found that CXCL12 was existent in human cumulus cells and follicular fluid and its receptors CXCR4 and CXCR7 were co-expressed on human spermatozoa. We investigated the effects of CXCL12 on various biological functions of human sperm and which receptor plays a dominant role in these processes. We found that CXCL12 could promote human sperm chemotaxis, motility, penetration in the mucus, acrosome reaction and Ca2+ influx through CXCR4 rather than CXCR7. In addition, the simplified physical model reasonably explained the change of sperm velocity under the influence of CXCL12 concentration gradient, which was identical to their physiological motion patterns.

cell biology↗

bioRxiv2019

Behaviour and cold hardiness of the purple stem borer in winter, colonizing more northerly latitudes

To escape or alleviate low temperatures in winter, insects have evolved many behavioral and physiological strategies. The rice pest insect, the purple stem borer, Sesamia inferens (Walker) is currently reported to be expanding their northern distributions and causing damage to summer maize in Xinxiang, China. However, their method of coping with the lower temperature in the new northern breeding area in winter is largely unknown. This paper investigates the overwinter site of S. inferens, and identifies the cold hardiness of larvae collected from a new breeding area in winter and explores a potential distribution based on low temperature threshold and on species distribution model, MaxEnt. The results show that the overwintering location of the S. inferens population is more likely to be underground with increasing latitude and,in the north, with the temperature decreasing, the larvae gradually moved down the corn stalk and drilled completely underground by February 18th. Those who were still above ground were all winterkilled. The cold hardiness test shows the species is a moderate freeze-tolerant one, and Supercooling Points (SCP), Freezing Points (FP) and mortality rate during the middle of winter (January, SCP: -7.653, FP: -6.596) were significantly lower than early winter (October) or late winter (March). Distribution in the new expansion area was predicted and the survival probability area was below N 35{degrees} for the Air Lower Lethal Temperature (ALLT50) and below N 40{degrees} for the Underground Lower Lethal Temperature (ULLT50), The suitable habitat areas for S. inferens with MaxEnt were also below N 40{degrees}. This study suggests the overwinter strategies have led to the colonization of up to a five degree more northerly overwintering latitude. This behavior of S. inferens could help maize producers to propose a control method to increase pest mortality by extracting the maize stubble after harvest.

animal behavior and cognition↗

bioRxiv2019

Zonation-dependent single-endothelial cell transcriptomic changes in the aged brain

With advances in single-cell genomics, molecular signatures of cells comprising the brain vasculature are revealed in unprecedented detail1,2, yet the ageing-associated cell subtype transcriptomic changes which may contribute to neurovascular dysfunction in neurodegenerative diseases3-7 remain elusive. Here, we performed single-cell transcriptomic profiling of brain endothelial cells (EC) in young adult and aged mice to characterize their ageing-associated genome-wide expression changes. We identified zonation-dependent transcriptomic changes in aged brain EC subtypes, with capillary ECs exhibiting the most transcriptomic alterations. Pathway enrichment analysis revealed altered immune/cytokine signaling in ECs of all vascular segments, while functional changes impacting the blood-brain barrier (BBB) and glucose/energy metabolism were most prominently implicated in ECs of the capillary bed - the primary site where ECs and other neurovascular unit (NVU) cell types closely interact and coordinate to regulate BBB and cerebral blood flow in health and diseased conditions8-17. Furthermore, an overrepresentation of Alzheimers disease (AD)-associated genes identified from GWAS studies was evident among the human orthologs of differentially expressed genes of aged capillary ECs but not other EC subtypes. Importantly, for numerous EC-enriched differentially expressed genes with important functional roles at the BBB and/or association with AD, we found concordant expression changes in human aged or AD brains. Finally, we demonstrated that treatment with exenatide, a glucagon-like peptide-1 receptor (GLP-1R) agonist, strongly reverses transcriptomic changes in ECs and largely reduces BBB leakage in the aged brain. Thus, our study provides insights into detailed transcriptomic alterations underlying brain EC ageing that are complex with subtype specificity yet amenable to pharmacological interventions.

neuroscience↗

bioRxiv2019

FvLcp1, a type-D fungal LysM protein with Chitin-binding domains, is a secreted protein involved in host recognition and fumonisin production in Fusarium verticillioides - maize kernel interaction

O_LIFusarium verticillioides is one of the key maize ear rot pathogens and produces fumonisins, a group of mycotoxins detrimental to humans and animals. Unfortunately, our understanding on how this fungus interacts with maize kernels to trigger mycotoxin biosynthesis is very limited.\nC_LIO_LIWe performed a systematic computational network-based analysis of large-scale F. verticillioides RNA-seq datasets to identify potential gene subnetwork modules that are associated with virulence and fumonisin regulation.\nC_LIO_LIAmong the highly discriminative subnetwork modules, we identified a putative hub gene FvLCP1, which encodes a putative a type-D fungal LysM protein with a signal peptide, three LysM domains, and two chitin binding domains. FvLcp1 is a unique protein that harbors these domains amongst five representative Fusarium species.\nC_LIO_LIFvLcp1 is a secreted protein important for fumonisin production with LysM domain playing acritical role. Chitin-binding domain was essential for in vitro chitin binding.\nC_LIO_LIUsing rice blast fungus, we learned that FvLcp1 accumulates in appressoria, a key infection structure, suggesting that FvLcp1 could be involved in host recognition and infection. Also, full length FvLcp1 was able to suppress the BAX triggered plant cell death in Nicotiana benthamiana.\nC_LIO_LIThis is the first report where a unique type-D LysM secreted protein with chitin-binding domain in mycotoxigenic fungus F. verticillioides was shown to be potentially involved in suppressing host cell death and promoting fumonisins biosynthesis while the pathogen colonizes maize kernels.\nC_LI

microbiology↗

bioRxiv2019

A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies

Transcriptome-wide association studies (TWAS) integrate expression quantitative trait loci (eQTLs) studies with genome-wide association studies (GWASs) to prioritize candidate target genes for complex traits. Several statistical methods have been recently proposed to improve the performance of TWAS in gene prioritization by integrating the expression regulatory information imputed from multiple tissues, and made significant achievements in improving the ability to detect gene-trait associations. The major limitation of these methods is that they cannot be used to elucidate the specific functional effects of candidate genes across different tissues. Here, we propose a tissue-specific collaborative mixed model (TisCoMM) for TWAS, leveraging the co-regulation of genetic variations across different tissues explicitly via a unified probabilistic model. TisCoMM not only performs hypothesis testing to prioritize gene-trait associations, but also detects the tissue-specific role of candidate target genes in complex traits. To make use of widely available GWAS summary statistics, we extend TisCoMM to use summary-level data, namely, TisCoMM-S2. Using extensive simulation studies, we show that type I error is controlled at the nominal level, the statistical power of identifying associated genes is greatly improved, and false positive rate (FPR) for non-causal tissues is well controlled at decent levels. We further illustrate the benefits of our methods in applications to summary-level GWAS data of 33 complex traits. Notably, apart from better identifying potential trait-associated genes, we can elucidate the tissue-specific role of candidate target genes. The follow-up pathway analysis from tissue-specific genes for asthma shows that the immune system plays an essential function for asthma development in both thyroid and lung tissues.

bioinformatics↗

bioRxiv2019

Modulation of longevity by diet, and youthful body weight, but not by weight gain after maturity

Diet and environment profoundly modulate lifespan. We measured longevity as a function of diet and weight gain across a genetically diverse family of mice. We followed 1348 females from two parental strains--C57BL/6J and DBA/2J--and 146 cohorts of BXD isogenic progeny strains (n = 73) across their lifespan on a low fat chow diet (CD, 18% calories from fat) and on a high fat diet (HFD, 60% calories from fat). On average, HFD shortens lifespan by 85 days or 12%, roughly equivalent to an 8-10 year decrease in humans. However, strain variation in the response of diet on longevity is remarkably high, ranging from a longevity loss of 54% in BXD65 to a gain of 37% in BXD8. Baseline weights and early weight gain are both associated with a mean decrease in longevity of [~]4 days/g. By 500 days-of-age, cases fed HFD gained four times as much weight as control on average. However, strain-specific variation was substantial, thus weight gain did not correlate well with lifespan. In summary, high fat had a strong negative effect on longevity, but genetic interactions effects were even stronger. This highlights the unequivocal importance of genetic differences in making dietary recommendations.

genetics↗

bioRxiv2019

CytoMAP: a spatial analysis toolbox reveals features of myeloid cell organization in lymphoid tissues

Recently developed approaches for highly-multiplexed 2-dimensional (2D) and 3D imaging have revealed complex patterns of cellular positioning and cell-cell interactions with important roles in both cellular and tissue level physiology. However, robust and accessible tools to quantitatively study cellular patterning and tissue architecture are currently lacking. Here, we developed a spatial analysis toolbox, Histo-Cytometric Multidimensional Analysis Pipeline (CytoMAP), which incorporates neural network based data clustering, positional correlation, dimensionality reduction, and 2D/3D region reconstruction to identify localized cellular networks and reveal fundamental features of tissue organization. We apply CytoMAP to study the microanatomy of innate immune subsets in murine lymph nodes (LNs) and reveal mutually exclusive segregation of migratory dendritic cells (DCs), regionalized compartmentalization of SIRPa- dermal DCs, as well as preferential association of resident DCs with select LN vasculature. These studies provide new insights into the organization of myeloid cells in LNs, and demonstrate that CytoMAP is a comprehensive analytics toolbox for revealing fundamental features of tissue organization in quantitative imaging datasets.

immunology↗

bioRxiv2019

High-throughput prediction of MHC Class I and Class II neoantigens with MHCnuggets

Computational prediction of binding between neoantigen peptides and major histocompatibility complex (MHC) proteins is an emerging biomarker for predicting patient response to cancer immunotherapy. Current neoantigen predictors focus on in silico estimation of MHC binding affinity and are limited by low positive predictive value for actual peptide presentation, inadequate support for rare MHC alleles and poor scalability to high-throughput data sets. To address these limitations, we developed MHCnuggets, a deep neural network method to predict peptide-MHC binding. MHCnuggets is the only method to handle binding prediction for common or rare alleles of MHC Class I or II, with a single neural network architecture. Using a long short-term memory network (LSTM), MHCnuggets accepts peptides of variable length and is capable of faster performance than other methods. When compared to methods that integrate binding affinity and HLAp data from mass spectrometry, MHCnuggets yields a fourfold increase in positive predictive value on independent MHC-bound peptide (HLAp) data. We applied MHCnuggets to 26 cancer types in TCGA, processing 26.3 million allele-peptide comparisons in under 2.3 hours, yielding 101,326 unique candidate immunogenic missense mutations (IMMs). Predicted-IMM hotspots occurred in 38 genes, including 24 driver genes. Predicted-IMM load was significantly associated with increased immune cell infiltration (p<2e-16) including CD8+ T cells. Notably, only 0.16% of predicted immunogenic missense mutations were observed in >2 patients, with 61.7% of these derived from driver mutations. Our results provide a new method for neoantigen prediction with high performance characteristics and demonstrate its utility in large data sets across human cancers.\n\nSynopsisWe developed a new in silico predictor of Major Histocompatibility Complex (MHC) ligand binding and demonstrated its utility to assess potential neoantigens and immunogenic missense mutations (IMMs) in 6613 TCGA patients.

immunology↗

bioRxiv2019

Increased serological response against human herpesvirus 6A is associated with risk for multiple sclerosis

Human herpesvirus (HHV)-6A or HHV-6B involvement in multiple sclerosis (MS) etiology has remained controversial mainly due to the lack of serological methods that can distinguish the two viruses.\n\nA novel multiplex serological assay measuring IgG reactivity against the immediate-early protein 1 from HHV-6A (IE1A) and HHV-6B (IE1B) was used in a MS cohort (8742 persons with MS and 7215 matched controls), and a pre-MS cohort (478 individuals and 476 matched controls) to investigate this further.\n\nThe IgG response against IE1A was positively associated with MS (OR = 1.55, p = 9x10-22), and increased risk of future MS (OR = 2.22, p = 2x10-5). An interaction was observed between IE1A and Epstein-Barr virus (EBV) antibody responses for MS risk (attributable proportion = 0.24, p = 6x10-6). In contrast, the IgG response against IE1B was negatively associated with MS (OR = 0.74, p = 6x10-11). The association did not differ between MS subtypes or vary with severity of disease. The genetic control of HHV-6A/B antibody responses were located to the Human Leukocyte Antigen (HLA) region and the strongest association for IE1A was the DRB1*13:01-DQA1*01:03-DQB1*06:03 haplotype while the main association for IE1B was DRB1*13:02-DQA1*01:02-DQB1*06:04.\n\nIn conclusion a role for HHV-6A in MS etiology is supported by an increased serological response against HHV-6A IE1 protein, an interaction with EBV, and an association to HLA genes.

immunology↗