Biology subjects

Huang, G.

Publications and source records attributed to Huang, G..

At least 91 records · Page 5Linked to original sources

bioRxiv2021

Cryo-EM structure of the Inner Ring from Xenopus laevis Nuclear Pore Complex

Nuclear pore complex (NPC) mediates nucleocytoplasmic shuttling. Here we present single-particle cryo-electron microscopy (cryo-EM) structure of the inner ring (IR) subunit from Xenopus laevis NPC at an average resolution of 4.4 [A]. The symmetric IR subunit comprises a cytoplasmic half and a nuclear half. A homo-dimer of Nup205 resides at the center of the IR subunit, flanked by two molecules of Nup188. Four molecules of Nup93 each places an extended helix into the axial groove of Nup205 or Nup188, together constituting the central scaffold. The channel nucleoporin heterotrimer (CNT) of Nup54/58/62 is anchored on the central scaffold. Six Nup155 molecules interact with the central scaffold and together with the NDC1-ALADIN hetero-dimers anchor the IR subunit to the nuclear envelope and to outer rings. The scarce inter-subunit contacts may allow sufficient latitude in conformation and diameter of the IR. Our structure of vertebrate IR reveals key insights that are functionally important.

biophysics↗

bioRxiv2021

Structural basis for assembly of TRAPPII complex and specific activation of GTPase Ypt31/32

Transport protein particle (TRAPP) complexes belong to the multiprotein tethering complex and have three forms- TRAPPI, TRAPPII and TRAPPIII, which share a core of six TRAPPI proteins. TRAPPII facilitates intra-Golgi and endosome-to-Golgi transports by activating GTPase Ypt31/Ypt32 as the guanine nucleotide exchange factor (GEF) in yeast. Here we present cryo-EM structures of yeast TRAPPII in apo and Ypt32-bound states. All the structures show a dimeric architecture assembled by two triangle shaped monomers, while the monomer in the apo structure exhibits both open and closed conformations, and the monomer in the Ypt32-bound form only captures the closed conformation. Located in the interior of the monomer, Ypt32 binds with both TRAPPI and Trs120 via its nucleotide binding domain and binds with Trs31 of TRAPPI via its hypervariable domain. Combined with functional analysis, the structures provide insights into the assembly of TRAPPII and the mechanism of the specific activation of Ypt31/Ypt32 by TRAPPII. One Sentence SummaryStructures of TRAPPII in different states reveal the mechanism of the specific activation of Ypt32 by TRAPPII.

biophysics↗

bioRxiv2021

Integrated analysis of single-cell and transcriptome based RNA-seq multilayer network and WGCNA for construction and validation of an immune cell-related prognostic model in clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cancer (RCC). The increasing incidence and poor prognosis of ccRCC after tumour metastasis makes the study of its pathogenesis extremely important. Traditional studies mostly focus on the regulation of ccRCC by single gene, while ignoring the impact of tumour heterogeneity on disease progression. The purpose of this study is to construct a prognostic risk model for ccRCC by analysing the differential marker genes related to immune cells in the single-cell database for providing help in clinical diagnosis and targeted therapy. Single-cell data and ligand-receptor relationship pair data were downloaded from related publications, and ccRCC phenotype and expression profile data were downloaded from TCGA and CPTAC. The DEGs and marker genes of the immune cell were combined and then intersected with the ligand-receptor gene data, and the 981 ligand-receptor relationship pairs obtained were intersected with the target gene of the transcription factor afterwards; 7,987 immune cell multilayer network relationship pairs were finally observed. Then, the genes in the network and the genes in TCGA were intersected to obtain 966 genes for constructing a co-expression network. Subsequently, 53 genes in black and magenta modules related to prognosis were screened by WGCNA for subsequent analysis. Whereafter, using the data of TCGA, 28 genes with significant prognostic differences were screened out through univariate Cox regression analysis. After that, LASSO regression analysis of these genes was performed to obtain a prognostic risk scoring model containing 16 genes, and CPTAC data showed that the effectiveness of this model was good. The results of correlation analysis between the risk score and other clinical factors showed that age, grade, M, T, stage and risk score were all significantly different (p < 0.05), and the results of prognostic accuracy also reached the threshold of qualification. Combined with clinical information, univariate and multivariate Cox regression analyses verified that risk score was an independent prognostic factor (p < 0.05). A nomogram constructed based on a predictive model for predicting the overall survival was established, and internal validation performed well. Our findings suggest that the predictive model built based on the immune cells scRNA-seq will enable us to judge the prognosis of patients with ccRCC and provide more accurate directions for basic relevant research and clinical practice.

cancer biology↗

bioRxiv2021

Investigating Emotion Dynamics and Its Association with Multimedia Content During Video Watching Through EEG Microstate Analysis

EEG microstates have been widely adopted to understand the complex and dynamic-changing process in dynamic brain systems, but how microstates are temporally modulated by emotion dynamics is still unclear. An investigation of EEG microstates under video-evoking emotion dynamics modulation would provide a novel insight into the understanding of temporal dynamics of functional brain networks. In the present study, we postulate that emotional states dynamically modulate the microstate patterns, and perform an in-depth investigation between EEG microstates and emotion dynamics under a video-watching task. By mapping from subjective-experienced emotion states and objective-presented stimulation content to EEG microstates, we gauge the comprehensive associations among microstates, emotions, and multimedia stimulation. The results show that emotion dynamics could be well revealed by four EEG microstates (MS1, MS2, MS3, and MS4), where MS3 and MS4 are found to be highly correlated to different emotion states (emotion task effect and level effect) and the affective information involved in the multimedia content (visual and audio). In this work, we reveal the microstate patterns related to emotion dynamics from sensory and stimulation dimensions, which deepens the understanding of the neural representation under emotion dynamics modulation and will be beneficial for the future study of brain dynamic systems.

neuroscience↗

bioRxiv2021

A New Perspective on Individual Reliability beyond Group Effects for Event-related Potentials: A Multisensory Investigation and Computational Modeling

The dominant approach in investigating the individual reliability for event-related potentials (ERPs) is to extract peak-related features at electrodes showing the strongest group effects. Such a peak-based approach implicitly assumes ERP components showing a stronger group effect are also more reliable, but this assumption has not been substantially validated and few studies have investigated the reliability of ERPs beyond peaks. In this study, we performed a rigorous evaluation of the test-retest reliability of ERPs collected in a multisensory and cognitive experiment from 82 healthy adolescents, each having two sessions. By comparing group effects and individual reliability, we found that a stronger group-level response in ERPs did not guarantee a higher reliability. Further, by simulating ERPs with a computational model, we found that the consistency between group-level ERP responses and individual reliability was modulated by inter-subject latency jitter and inter-trial variability. The current findings suggest that the conventional peak-based approach may underestimate the individual reliability in ERPs. Hence, a comprehensive evaluation of the reliability of ERP measurements should be considered in individual-level neurophysiological trait evaluation and psychiatric disorder diagnosis.

neuroscience↗

bioRxiv2021

Poly(A)-binding protein is an ataxin-2 chaperone that emulsifies biomolecular condensates.

Biomolecular condensation underlies the biogenesis of an expanding array of membraneless assemblies, including stress granules (SGs) which form under a variety of cellular stresses. Advances have been made in understanding the molecular grammar that dictates the behavior of a few key scaffold proteins that make up these phases but how the partitioning of hundreds of other SG proteins is regulated remains largely unresolved. While investigating the rules that govern the condensation of ataxin-2, a SG protein implicated in neurodegenerative disease, we unexpectedly identified a short 14aa sequence that acts as an ataxin-2 condensation switch and is conserved across the eukaryote lineage. We identify poly(A)-binding proteins as unconventional RNA-dependent chaperones that control this regulatory switch. Our results uncover a hierarchy of cis and trans interactions that fine-tune ataxin-2 condensation and reveal a new molecular function for ancient poly(A)-binding proteins as emulsifiers of biomolecular condensate proteins. These findings may inspire novel approaches to therapeutically target aberrant phases in disease.

cell biology↗

bioRxiv2021

SeqDistK: a Novel Tool for Alignment-free Phylogenetic Analysis

Algorithms for constructing phylogenetic trees are fundamental to study the evolution of viruses, bacteria, and other microbes. Established multiple alignment-based algorithms are inefficient for large scale metagenomic sequence data because of their high requirement of inter-sequence correlation and high computational complexity. In this paper, we present SeqDistK, a novel tool for alignment-free phylogenetic analysis. SeqDistK computes the dissimilarity matrix for phylogenetic analysis, incorporating seven k-mer based dissimilarity measures, namely d2, d2S, d2star, Euclidean, Manhattan, CVTree, and Chebyshev. Based on these dissimilarities, SeqDistK constructs phylogenetic tree using the Unweighted Pair Group Method with Arithmetic Mean algorithm. Using a golden standard dataset of 16S rRNA and its associated phylogenetic tree, we compared SeqDistK to Muscle - a multi sequence aligner. We found SeqDistK was not only 38 times faster than Muscle in computational efficiency but also more accurate. SeqDistK achieved the smallest symmetric difference between the inferred and ground truth trees with a range between 13 to 18, while that of Muscle was 62. When measures d2, d2star, d2S, Euclidean, and k-mer size k=5 were used, SeqDistK consistently inferred phylogenetic tree almost identical to the ground truth tree. We also performed clustering of 16S rRNA sequences using SeqDistK and found the clustering was highly consistent with known biological taxonomy. Among all the measures, d2S (k=5, M=2) showed the best accuracy as it correctly clustered and classified all sample sequences. In summary, SeqDistK is a novel, fast and accurate alignment-free tool for large-scale phylogenetic analysis. SeqDistK software is freely available at https://github.com/htczero/SeqDistK.

bioinformatics↗

bioRxiv2021

Cross-Individual Affective Detection Using EEG Signals with Audio-Visual Embedding

EEG signals have been successfully used in affective detection applications, which could directly capture brain dynamics and reflect emotional changes at a high temporal resolution. However, the generalized ability of the model across individuals has not been thoroughly developed yet. An involvement of other data modality, such as audio-visual information which are usually used for emotion eliciting, could be beneficial to estimate intrinsic emotions in video content and solve the individual differences problem. In this paper, we propose a novel deep affective detection model, named as EEG with audio-visual embedding (EEG-AVE), for cross-individual affective detection. Here, EEG signals are exploited to identify the individualized emotional patterns and contribute the individual preferences in affective detection; while audio-visual information is leveraged to estimate the intrinsic emotions involved in the video content and enhance the reliability of the affective detection performance. Specifically, EEG-AVE is composed of two parts. For EEG-based individual preferences prediction, a multi-scale domain adversarial neural network is developed to explore the shared dynamic, informative, and domain-invariant EEG features across individuals. For video-based intrinsic emotions estimation, a deep audio-visual feature based hypergraph clustering method is proposed to examine the latent relationship between semantic audio-visual features and emotions. Through an embedding model, both estimated individual preferences and intrinsic emotions are incorporated with shared weights and further are used together to contribute to affective detection across individuals. We conduct cross-individual affective detection experiments on two well-known emotional databases for model evaluation and comparison. The results show our proposed EEG-AVE model achieves a better performance under a leave-one-individual-out cross-validation individual-independent evaluation protocol. EEG-AVE is demonstrated as an effective model with good generalizability, which makes it a power tool for cross-individual emotion detection in real-life applications.

bioengineering↗

bioRxiv2021

1,25(OH)2D3 attenuates hepatic insulin resistance in rats with streptozotocin -induced diabetes via antioxidation

AimThis study was conducted to explore the mechanism by which 1,25(OH)2D3 ameliorates hepatic insulin resistance in rats with streptozotocin (STZ)-induced type 2 diabetes. MethodsSprague Dawley (SD) rats were randomly divided into five groups: normal, control, and 1,25(OH)2D3 administered at 0.075, 0.15, and 0.3 g/kg/d. Tissue and blood samples were obtained from all five groups after 4 and 12 weeks of treatment. Morphological changes in the livers were observed with HE staining. The levels of fasting blood glucose (FBG), insulin, and lipids were determined using an automatic biochemistry analyzer. The levels of hepatic glycogen, superoxide dismutase (SOD), malondialdehyde (MDA), aspartate aminotransferase (AST), and alanine aminotransferase (ALT) were analyzed by spectrophotometry. Protein expression of AKT and GLUT2 was examined by western blotting. Results1,25(OH)2D3 treatment reduced the FBG content as well as hepatic MDA, AST, and ALT levels, improved the activity of SOD, and enhanced the expression of GLUT2 and AKT in diabetic rats. These findings suggest that 1,25(OH)2D3, exerts antioxidant effects and ameliorates insulin resistance in the liver. Conclusion1,25(OH)2D3 is a potential agent that could be used in the treatment of insulin resistance in the liver.

pharmacology and toxicology↗

bioRxiv2021

An exploration of metabolic and transcriptional responses in mouse skeletal muscles responding to acute sedentary hypoxia

Skeletal muscles are involved in responses to acute hypoxia as the largest organ in the body. However, as a hypoxic-tolerant tissue, responses in skeletal muscles caused by acute sedentary hypoxia are much less studied. We measured metabolites in skeletal muscles from mice exposed to 8% O2 for 0 minute, 15 minutes and 2 hours and studied the potential relationship between metabolite levels and mRNA levels by reconstructing genome-based metabolic networks and meta-analyzing differentially expressed genes acquired in skeletal muscles after 2 hours of 8% O2 exposure. The metabolite measurement indicated a significant increase in glutamine metabolism but not lactate metabolism in mouse skeletal muscles after 2 hours of hypoxia, where the metabolic responses as a whole were moderate. The central-dogma based metabolic flux analysis suggested an involvement of glutamine metabolism, though, as a whole, metabolite changes and gene changes didnt show a high correlation. Among metaoblites, glutamine metabolism indicated a significant response and a consistent change which could be interpreted by genome-based network analysis. In summary, though this study suggested a moderate metabolic response which has a weak correlation with gene expression change as a whole, glutamine metabolism indicated rapid responses in skeletal muscles responding to acute sedentary hypoxia.

systems biology↗

bioRxiv2021

An in vivo approach to characterize novel variants associated with musculoskeletal disorders

Nemaline Myopathy (NM) is the most common congenital myopathy, characterized by extreme weakness of the respiratory, limb, and facial muscles. Pathogenic variants in Tropomyosin 2 (TPM2), which encodes a skeletal muscle specific actin binding protein essential for sarcomere function, cause a spectrum of musculoskeletal disorders that include NM as well as Cap Myopathy, congenital fiber type disproportion, and distal arthrogrypsosis (DA). TPM2-related disorders have not been modeled in vivo, so we expressed a series of dominant, pathogenic TPM2 variants in Drosophila embryos and found two variants, K49Del and E122K, significantly affected muscle morphogenesis and muscle function, in part by disrupting myotube guidance. Transient overexpression of K49Del and E122K also disrupted the morphogenesis of immortalized mouse myoblasts in vitro, and negatively affected zebrafish muscle development and function in vivo. We used our transient overexpression assays in zebrafish to characterize two novel TPM2 variants that we identified in DA patients (V129A and E139K), and found these variants caused musculoskeletal defects similar to those of the known pathogenic variants. In addition, the severity of musculoskeletal phenotypes in zebrafish expressing TPM2 variants correlated with the severity of clinical phenotypes observed in DA patients. Our study establishes transient overexpression in zebrafish as an efficient platform to characterize variants of uncertain significance in TPM2 in vivo, and suggests that this method can be used to predict the clinical severity of variants associated with DA and congenital myopathies.

genetics↗

bioRxiv2021

Integrative molecular and clinical profiling of acral melanoma identifies LZTR1 as a key tumor promoter and therapeutic target

Acral melanoma, the most common melanoma subtype among non-Caucasian individuals, is associated with poor prognosis. However, its key molecular drivers remain obscure. Here, we performed integrative genomic and clinical profiling of acral melanomas from a cohort of 104 patients treated in North America or China. We found that recurrent, late-arising amplifications of cytoband chr22q11.21 are a leading determinant of inferior survival, strongly associated with metastasis, and linked to downregulation of immunomodulatory genes associated with response to immune checkpoint blockade. Unexpectedly, LZTR1 - a known tumor suppressor in other cancers - is a key candidate oncogene in this cytoband. Silencing of LZTR1 in melanoma cell lines caused apoptotic cell death independent of major hotspot mutations or melanoma subtypes. Conversely, overexpression of LZTR1 in normal human melanocytes initiated processes associated with metastasis, including anchorage-independent growth, formation of spheroids, and increased levels of MAPK and SRC activities. Our results provide new insights into the etiology of acral melanoma and implicate LZTR1 as a key tumor promoter and therapeutic target.

cancer biology↗

bioRxiv2021

A genetic screen for regulators of muscle morphogenesis in Drosophila

The mechanisms that determine the final topology of skeletal muscles remain largely unknown. We have been developing Drosophila body wall musculature as a model to identify and characterize the pathways that control muscle size, shape, and orientation during embryogenesis (Johnson et al., 2013; Williams et al., 2015; Yang et al., 2020a; Yang et al., 2020b). Our working model argues muscle morphogenesis is regulated by (1) extracellular guidance cues that direct muscle cells toward muscle attachment sites, and (2) contact dependent interactions between muscles and tendons. While we have identified several pathways that regulate muscle morphogenesis, our understanding is far from complete. Here we report the results of a recent EMS-based forward genetic screen that identified a myriad of loci not previously associated with muscle morphogenesis. We recovered new alleles of known muscle morphogenesis genes, including bsd, kon, ths, and tum, arguing our screening strategy was effective and efficient. We also identified and sequenced new alleles of salm, barr, and ptc that presumably disrupt independent pathways directing muscle morphogenesis. Equally as important, our screen shows that at least 11 morphogenetic loci remain to be identified. This screen has developed exciting new tools to study muscle morphogenesis, which may provide future insights into the mechanisms that determine skeletal muscle topology.

developmental biology↗

bioRxiv2020

Bottom-up fabrication of a multi-component nanopore sensor that unfolds, processes and recognizes single proteins

Transmembrane channels and pores have many biotechnological applications, notably in the single-molecule sequencing of DNA. Small synthetic nanopores have been designed using amphipathic peptides, or by assembling computationally designed transmembrane helices. The fabrication of more complex transmembrane devices has yet to be reported. In this work, we fabricated in two steps a multi-protein transmembrane device that addresses some of the main challenges in nanopore protein sequencing. In the first step, artificial nanopores are created from soluble proteins with toroid shapes. This design principle will allow fabricating a variety of nanopores for single-molecule analysis. In the second step one -subuinit of the 20S proteasome from Thermoplasma acidophilum is genetically integrated into the artificial nanopore, and a 28-component nanopore-proteasome is co-assembled in E. coli cells. This multi-component molecular machine opens the door to two new approaches in protein sequencing, in which selected substrate proteins are unfolded, fed to into the proteasomal chamber and then identified by the nanopore sensor either as intact or fragmented polypeptides. The ability to integrate molecular devices directly onto a nanopore sensors allows creating next-generation protein sequencing devices, and will shed new lights on the fundamental processes of biological nanomachines.

bioengineering↗

bioRxiv2020

Mechanical Efficiency Investigation of an ankle-assisted robot for human walking with a backpack-load

Lower limb assistive robots have a wide range of applications in medical rehabilitation, hiking, and the military. The purpose of this work is to investigate the efficiency of wearable assistive devices under different weight-bearing walking conditions. We designed an experimental platform, with a lightweight ankle-assisted robot weighing 5.2 kg and carried mainly on the back. Eight subjects were tested in three experimental conditions: free walk with load (FWL), power-off with load (POFL), and power-on with load (PONF) for different levels of force at a walking speed of 3.6 km/h. We recorded the metabolic expenditure and kinematics of the subjects under three levels of weight-bearing (equal to 10%, 20%, and 30% of body mass). The critical forces from the fit of the assistive force and metabolic depletion curves were 130 N, 160 N and 215 N at three different load levels. The intrinsic weight of our device increases mechanical work at the ankle as the load weight rises, with 2.08 J, 2.43 J, 2.73 J for one leg during a gait cycle. The ratio of the mechanical work input by the robot to the mechanical work output by the weight of the device decreases (0.904, 0.717, and 0.513 with different load carriages), verifying that the walking assistance efficiency of such devices decreases as the weight rises. In terms of mechanical work in the ankle joint, our results confirm that the efficiency of the ankle-assisted walking robot decreases as weight bearing increases, which provides important guidance for the lightweight design of portable weight-bearing walking robots.

biophysics↗

bioRxiv2020

LncRNA H19X is required for placenta development and angiogenesis through regulating a noncoding RNA regulatory network

H19X is a lncRNA specifically expressed in the placenta, whose expression is induced by hypoxia. H19X overexpression promoted trophoblast proliferation and invasion, while its knockdown or knockout inhibited trophoblast proliferation and invasion. Mechanistically, we demonstrated that reciprocal regulation exists with miR-424/miR-503 in the control of genes related to placental development and angiogenesis, including VEGF and VEGFR2. H19X inhibited ubiquitination of PIWIL1, thereby maintaining its stability and homeostatic expression of piRNAs. PIWIL1 overexpression rescued the defects of cell behavior caused by H19X KO. H19X deletion led to compromised HIF-1A/HIF-2A expression, which was correlated with the dysregulation of downstream genes under hypoxic conditions. CRISPR/Cas-9 knockout of H19X in animals led to defective placenta differentiation and compromised embryo development under hypoxic conditions. Western blotting showed reduced expression levels of PIWIL1 as well as angiogenesis marker genes, including VEGF and VEGFR2, in H19X KO mice. Thus, this study provides evidence of an unexpected link among lncRNA, miRNA, PIWIL1-related piRNA, and angiogenesis in placentation, the dysregulation of which leads to poor placental development and embryo loss under hypoxic conditions.

developmental biology↗

bioRxiv2020

Extraction and Characterization of Rice Bran Polysaccharides and Their Derivative Preparation and Antioxidant Activity

The crude polysaccharide of rice bran polysaccharide was extracted with water from defatted rice bran, and the optimal reaction conditions of the experiment were determined. The reaction temperature is 100{degrees}C, the reaction time is 5h, the solid-liquid ratio is 1:10; the concentration ratio of polysaccharide to Sevag reagent is 2:1, and rice polysaccharide is precipitated by ethanol insoluble property and ethanol. The ethanol concentration ratio is 3:1. Using the methods and conditions of this experiment, the maximum polysaccharide yield is 2.18%. Then the chemical structure of rice bran polysaccharide was analyzed by IR, UV and 13CNMR methods. Three rice bran polysaccharide derivatives were prepared and characterized: carboxymethylated rice bran polysaccharide, phosphorylated rice bran polysaccharide and acetylated rice bran polysaccharide. Also studied the antioxidant activity of rice bran polysaccharide and its derivatives (hydroxy radical ion scavenging ability, superoxide anion scavenging ability, anti-lipid peroxidation ability, reducing ability), and found that phosphorylated rice bran polysaccharide has good activity. The acetylated rice bran polysaccharide may weaken the original activity.

biochemistry↗

bioRxiv2020

Transient K+ current explains cross-species differences in the effects of myofibroblasts on myocytes

Electrical and paracrine couplings between cardiomyocytes (CMs) and myofibroblasts (MFBs) affect both physiology and pathophysiology of cardiac tissues in a range of animal models, but relating these observations to humans is a challenge because effects vary greatly across species. To address this challenge, we developed a mathematical model for mechanoelectrical interactions between CM and MFB, considering both electrical and paracrine couplings between CMs and MFBs, with the aim of identifying the sources of cross-species variation and extrapolating animal models to predicted effects in humans. Our results revealed substantial differences across species in how these couplings modulate excitation-contraction coupling and Ca2+ transients of CMs. Both classes of couplings prolong action potential and increase APD in rat CMs, but shorten action potential and decrease APD in human CMs. Electrical coupling attenuates Ca2+ transients and active tension generation in human CMs, but has no significant effect on rat CMs. Paracrine coupling reduces Ca2+ transients and active tension in both human and rat CM. The results suggest that the variance of functional interactions between CM and MFB in cross-species may be explained by differences in the transient outward K+ currents associated with the KCND2 gene, and thus suggest potential therapeutic pathways for fibrotic cardiomyopathy.

biophysics↗