Biology subjects

Huang, T.

Publications and source records attributed to Huang, T..

At least 127 records · Page 7Linked to original sources

bioRxiv2021

Even allocation of benefits stabilizes microbial community engaged in metabolic division of labor

Metabolic division of labor (MDOL) is commonly observed in microbial communities, where a metabolic pathway is sequentially implemented by several members similar to an assembly line. Uncovering the assembly rules of the community engaged in MDOL is crucial for understanding its ecological contribution, as well as for engineering high-performance microbial communities. To investigate the assembly of the community engaged in MDOL, we combined mathematical modelling with experimentations using synthetic microbial consortia. We built a theoretical framework predict the assembly of MDOL system, and derived a simple rule: to maintain co-existence of the MDOL members, the populations responsible for former steps should hold a growth advantage (m) over the private benefit (n) of the population responsible for last step, and the steady-state frequency of the last population is determined by the quotient of n and m. Our experiments further indicated that our theoretical framework accurately predicted the stability and assembly of our engineered synthetic consortia that degrade naphthalene through two-step or multi-step MDOL. Our results demonstrate that the assembly of microbial community engaged in MDOL is determined by a limited number of parameters. This quantitative understanding provides novel insights on designing and managing stable microbial systems to address grand challenges facing human society in agriculture, degradation of the environment, and human health.

microbiology↗

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

Evidence for the Presence of Hyphae and Fruiting Body Calcium Oxalate Crystallites in Schizophyllum commune

Biomineralization is a phenomenon in which organisms form crystals. Studies have shown that many fungi have the ability to biomineralize, it can exhibit calcium oxalate crystals on their hyphae and fruiting body. Schizophyllum commune is a common saprophytic fungus distributed all over the world, but there is little research on its biomineralization. In this paper, S. commune fruiting body from three different provinces of China were collected, and isolation for hyphal cultured to obtain several samples. Utilizing light microscope, FE-SEM, and EDAX, the existence of crystals on the fruiting body and mycelium of each strain was found, and their morphological characteristics and ion content were analyzed. It was ultimately established that biomineralization occurs on S. commune.

biochemistry↗

bioRxiv2021

Sift-PULs: A public repository for specific functional polysaccharide utilization loci

BackgroundPolysaccharide utilization loci (PULs) were bacterial gene clusters encoding genes responsible for polysaccharide utilization process. PUL studies are blooming in recent years but the biochemical characterization speed is relative slow. There is a growing demand for PUL database with function annotations. ResultsUsing signature genes corresponding for specific polysaccharide, 10422 PULs specific for 6 polysaccharides (agar, alginate, pectin, carrageenan, chitin and {beta}-manan) from various bacterial phyla were predicted. Then online website of specific functional polysaccharide utilization loci (Sift-PULs) was constructed. Sift-PULs provides a repository where users could browse, search and download interested PULs without registration. ConclusionsThe key advantage of Sift-PULs is to assign a function annotation of each PUL, which is not available in existing PUL databases. PULs functional annotation lays a foundation for studying novel enzymes, new pathways, PUL evolution or bioengineering. The website is available on https://sift-puls.org

bioinformatics↗

bioRxiv2021

The swine spatiotemporal H3K27ac spectrum provides novel resources for exploring gene regulation related to complex traits and fundamental biological process

The limited knowledge of genomic non-coding and regulatory regions has limited our ability to decipher the genetic mechanisms underlying complex traits in pigs. In this study, we characterize the spatiotemporal landscape of putative enhancers and promoters and their target genes by combining H3K27ac targeted ChIP-Seq and RNA-Seq in fetal (day 74-75 pc) and adult (day 132-150 pn) tissues (brain, liver, heart, muscle and small intestine) sampled from Asian aboriginal Bamaxiang and European highly selected Large White pigs of both sexes. We identify 101,290 H3K27ac peaks marking 18,521 promoters and 82,769 enhancers, including peaks that are active across all tissues and developmental stages could indicate safe harbors for exogenous gene insertion, and tissue and developmental-stage specific peaks that regulate genes pathways matching tissue and developmental stage specific physiological functions. We found H3K27ac and DNA methylation in the promoter region of the XIST gene may involve in X chromosome inactivation, and demonstrate utility of the present resource to reveal regulatory patterns of known causal genes and to prioritize candidate causal variants for complex traits in pigs. We have developed a web browser to improve the accessibility of the results (http://39.108.231.116/browser/?genome=susScr11).

genomics↗

bioRxiv2021

U-RISC: An Ultra-high Resolution EM Dataset Challenging Existing Deep Learning Algorithms

Connectomics is a developing field aiming at reconstructing the connection of the neural system at nanometer scale. Computer vision technology, especially deep learning methods used in image processing, has promoted connectomic data analysis to a new era. However, the performance of the state-of-the-art methods still falls behind the demand of scientific research. Inspired by the success of ImageNet, we present the U-RISC, an annotated Ultra-high Resolution Image Segmentation dataset for Cell membrane, which is the largest cell membrane annotated Electron Microscopy (EM) dataset with a resolution of 2.18nm/pixel. Multiple iterative annotations ensured the quality of the dataset. Through an open competition, we reveal that the performance of current deep learning methods still has a considerable gap with human-level, different from ISBI 2012, on which the performance of deep learning is close to human. To explore the causes of this discrepancy, we analyze the neural networks with a visualization method, attribution analysis. We find that in U-RISC, it requires a larger area around a pixel to predict whether the pixel belongs to the cell membrane or not. Finally, we integrate currently available methods to provide a new benchmark (0.67, 10% higher than the leader of competition, 0.61) for cell membrane segmentation on U-RISC and propose some suggestions in developing deep learning algorithms. The U-RISC dataset and the deep learning codes used in this paper will be publicly available.

neuroscience↗

bioRxiv2021

Species-specific deployment of Runx2 isoforms and differential regulation of target genes during avian jaw development and evolution

Developmental regulation of bone formation in the jaw skeleton is essential to species-specific adaptation. The jaws are derived from neural crest mesenchyme (NCM), a progenitor population that directs skeletal patterning by exerting temporal and spatial control over molecular and cellular programs for osteogenesis. One important NCM-mediated gene is Runx2, which is a transcription factor required for osteoblast differentiation. RUNX2 protein binds many target genes involved in the deposition and resorption of bone. To determine the extent to which changes in Runx2 structure, function, and expression underlie the evolution of the jaw skeleton, we compare Runx2 across vertebrates and within birds. Runx2 contains two alternative promoters, tandem repeats of glutamine and alanine with variable lengths in different species, a conserved DNA-binding domain, an exon that is alternatively spliced, as well as two possible C-termini. Such alternative splicing produces eight potential isoforms that show distinct stage- and species-specific patterns in the jaw primordia of chick, quail and duck embryos. We also find that certain isoforms are strongly induced by TGF{beta} signaling whereas others are not. Overexpressing Runx2 isoforms in NCM reveals that some are transcriptionally activating, while others are repressive. But context appears to be relevant since species-specific polymorphisms in the promoter of target genes like Mmp13, can modulate the effects of different isoforms. Overall, our study indicates that the structure and species-specific deployment of Runx2 isoforms affect the transcriptional activity of target genes in ways that may have played a generative and regulatory role in the evolution of the avian jaw skeleton.

developmental biology↗

bioRxiv2021

cellxgene: a performant, scalable exploration platform for high dimensional sparse matrices

Quickly and flexibly exploring high-dimensional datasets, such as scRNAseq data, is underserved but critical for hypothesis generation, dataset annotation, publication, sharing, and community reuse. cellxgene is a highly generalizable, web-based interface for exploring high dimensional datasets along categorical, continuous and spatial dimensions, as well as feature annotation. cellxgene is differentiated by its ability to performantly handle millions of observations, and bridges a critical gap by enabling computational and experimental biologists to iteratively ask questions of private and public datasets. In doing so, cellxgene increases the utility and reusability of datasets across the single-cell ecosystem. The codebase can be accessed at https://github.com/chanzuckerberg/cellxgene. For questions and inquiries, please contact cellxgene@chanzuckerberg.com.

systems biology↗

bioRxiv2021

Predictors of zoonotic potential in helminths

Helminths are parasites that cause disease at considerable cost to public health and present a risk for emergence as novel human infections. Although recent research has elucidated characteristics conferring a propensity to emergence in other parasite groups (e.g. viruses), the understanding of factors associated with zoonotic potential in helminths remains poor. We applied an investigator-directed learning algorithm to a global dataset of mammal helminth traits to identify factors contributing to spillover of helminths from wild animal hosts into humans. We characterized parasite traits that distinguish between zoonotic and non-zoonotic species with greater than 88% accuracy. Results suggest that helminth traits relating to transmission (e.g. definitive and intermediate hosts) and geography (e.g. distribution) are more important to predicting zoonotic species than morphological or epidemiological traits. Whether or not a helminth causes infection in companion animals (cats and dogs) is the most important predictor of propensity to cause human infection. Finally, we identified helminth species with high modeled propensity to cause zoonosis (over 70%) that have not previously been deemed to be of risk. This work highlights the importance of prioritizing studies on the transmission of helminths that infect pets and points to the risks incurred by close associations with these animals.

ecology↗

bioRxiv2021

Essential role of CFAP53 in sperm flagellum biogenesis

The sperm flagellum is essential for male fertility. Despite vigorous research progress towards understanding the pathogenesis of flagellum-related diseases, much remains unknown about the mechanisms underlying the flagellum biogenesis itself. Here, we show that the cilia and flagella associated protein 53 (Cfap53) gene is predominantly expressed in testes, and it is essential for sperm flagellum biogenesis. The knockout of this gene resulted in complete infertility in male mice but not in the females. CFAP53 localized to the manchette and sperm tail during spermiogenesis, the knockout of this gene impaired flagellum biogenesis. Furthermore, we identified two manchette and sperm tail-associated proteins that interacted with CFAP53 during spermiogenesis. The disruption of Cfap53 decreased the expression level of these two proteins and disrupted their localization in spermatids. Together, our results suggest that CFAP53 is an essential protein for sperm flagellum biogenesis, and its mutations might be associated with MMAF.

developmental biology↗

bioRxiv2021

Cas9-cleavage sequences in minimal plasmids enhance non-viral genome targeting of CARs in primary human T cells

T cell genome editing holds great promise to advance a range of immunotherapies but is encumbered by the dependence on difficult-to-produce and expensive viral vectors. Here we have designed small double-stranded plasmid DNA modified to mediate high-efficiency homologous recombination. The resulting chimeric antigen receptor (CAR)-T cells display a similar phenotype, transcriptional profile and in vivo potency as CAR-T cells generated using adeno-associated viral (AAV) vector. This method should simplify and accelerate the use of precision engineering to produce edited T cells for research and clinical purposes.

bioengineering↗

bioRxiv2020

Partial spontaneous intersubunit rotations in actively translating ribosomes

The ribosome is a molecular machine that adopts at least two global states during translation. Two main steps of translation, peptidyl transfer and translocation, are accompanied by counterclockwise and clockwise rotations of the two ribosomal subunits. However, when and why the ribosome alternates between these states remains unclear, with two well supported but conflicting hypotheses. Ribosomes may undergo a single cycle of forward and backward rotations per codon read. Alternatively, in addition to rotations caused by peptidyl transfer and translocation, ribosomes may undergo multiple full spontaneous rotations, with these rotations playing a critical role in elongation and specifically in translocation mechanism. We applied high-speed single-molecule TIRF microscopy to follow translation in real-time. Actively translating ribosomes undergo partial spontaneous rotations between three different rotational states. Spontaneous rotations are restricted prior to A-site tRNA decoding. Peptidyl transfer unlocks spontaneous rotations. Consequently, translocation proceeds via a novel rotational state induced by EF-G. Our results bridge both models and provide a coherent view of ribosome dynamics during translation.

biochemistry↗

bioRxiv2020

GSAP regulates mitochondrial function through the Mitochondria-associated ER membrane in the pathogenesis of Alzheimer's disease

Biochemical, pathogenic and human genetic data confirm that GSAP ({gamma}-secretase activating protein), a selective {gamma}-secretase modulatory protein, plays important roles in Alzheimers disease (AD) and Down syndrome. However, the molecular mechanism(s) underlying GSAP-dependent pathogenesis remains largely elusive. Here, through unbiased proteomics and single-nuclei RNA-seq, we identified that GSAP regulates multiple biological pathways, including protein phosphorylation, trafficking, lipid metabolism, and mitochondrial function. We demonstrated that GSAP physically interacts with Fe65:APP complex to regulate APP trafficking/partitioning. GSAP is enriched in the mitochondria-associated membrane (MAM) and regulates lipid homeostasis through the amyloidogenic processing of APP. GSAP deletion generates a lipid environment unfavorable for AD pathogenesis, leading to improved mitochondrial function and the rescue of cognitive deficits in an AD mouse model. Finally, we identified a novel GSAP single-nucleotide polymorphism that regulates its brain transcript level and is associated with an increased AD risk. Together, our findings indicate that GSAP impairs mitochondrial function through its MAM localization, and lowering GSAP expression reduces pathological effects associated with AD.

neuroscience↗

bioRxiv2020

The translational landscape of SARS-CoV-2 and infected cells

SARS-CoV-2 utilizes a number of strategies to modulate viral and host mRNA translation. Here, we used ribosome profiling in SARS-CoV-2 infected model cell lines and primary airway cells grown at the air-liquid interface to gain a deeper understanding of the translationally regulated events in response to virus replication. We find that SARS-CoV-2 mRNAs dominate the cellular mRNA pool but are not more efficiently translated than cellular mRNAs. SARS-CoV-2 utilized a highly efficient ribosomal frameshifting strategy in comparison to HIV-1, suggesting utilization of distinct structural elements. In the highly permissive cell models, although SARS-CoV-2 infection induced the transcriptional upregulation of numerous chemokines, cytokines and interferon stimulated genes, many of these mRNAs were not translated efficiently. Impact of SARS-CoV-2 on host mRNA translation was more subtle in primary cells, with marked transcriptional and translational upregulation of inflammatory and innate immune responses and downregulation of processes involved in ciliated cell function. Together, these data reveal the key role of mRNA translation in SARS-CoV-2 replication and highlight unique mechanisms for therapeutic development.

microbiology↗

bioRxiv2020

Sequence- and structure-selective mRNA m5C methylation by NSUN6 in animals

mRNA m5C, which has recently been implicated in the regulation of mRNA mobility, metabolism, and translation, plays important regulatory roles in various biological events. Two types of m5C sites are found in mRNAs. Type I m5C sites, which contain a downstream G-rich triplet motif and are computationally predicted to locate in the 5 end of putative hairpin structures, are methylated by NSUN2. Type II m5C sites contain a downstream UCCA motif and are computationally predicted to locate in the loops of putative hairpin structures. However, their biogenesis remains unknown. Here we identified NSUN6, a methyltransferase that is known to methylate C72 of tRNAThr and tRNACys, as an mRNA methyltransferase that targets Type II m5C sites. Combining the RNA secondary structure prediction, miCLIP, and results from a high-throughput mutagenesis analysis, we determined the RNA sequence and structural features governing the specificity of NSUN6-mediated mRNA methylation. Integrating these features into an NSUN6-RNA structural model, we identified an NSUN6 variant that largely loses tRNA methylation but retains mRNA methylation ability. Finally, we revealed a negative correlation between m5C methylation and translation efficiency. Our findings uncover that mRNA m5C is tightly controlled by an elaborate two-enzyme system, and the protein-RNA structure analysis strategy established may be applied to other RNA modification writers to distinguish the functions of different RNA substrates of a writer protein.

molecular biology↗

bioRxiv2020

Proteomics of autophagy deficient macrophages reveals enhanced antimicrobial immunity via the oxidative stress response

Defective autophagy is associated with chronic inflammation. Loss-of-function of the core autophagy gene Atg16l1 increases risk for Crohns disease by enhancing innate immunity in macrophages. However, autophagy also mediates clearance of intracellular pathogens. These divergent observations prompted a re-evaluation of ATG16L1 in antimicrobial immunity. In this study, we found that loss of Atg16l1 in macrophages enhanced the killing of virulent Shigella flexneri (S.flexneri), an enteric bacterium that resides within the cytosol by escaping all membrane-bound compartments. Quantitative multiplexed proteomics revealed that ATG16L1 deficiency significantly upregulated proteins involved in the glutathione-mediated antioxidant response to compensate for elevated oxidative stress, which also promoted S.flexneri killing. Consistently, myeloid cell-specific deletion of Atg16l1 accelerated bacterial clearance in vivo. Finally, pharmacological modulation of oxidative stress by suppression of cysteine import conferred enhanced microbicidal properties to wild type macrophages. These findings demonstrate that control of oxidative stress by ATG16L1 regulates antimicrobial immunity against intracellular pathogens. Impact statementMaculins et al utilize multiplexed mass spectrometry to show that loss of the autophagy gene Atg16l1 in macrophages enhances antimicrobial immunity against intracellular pathogens via the oxidative stress response.

cell biology↗

bioRxiv2020

Variable branching characteristics of peripheral taste neurons indicates differential convergence.

Taste neurons are functionally and molecularly diverse, but their morphological diversity remains completely unexplored. Using sparse cell genetic labeling, we provide the first reconstructions of peripheral taste neurons. The branching characteristics across 96 taste neurons show surprising diversity in their complexities. Individual neurons had 1 to 17 separate arbors entering between 1 to 7 taste buds, 18 of these neurons also innervated non-taste epithelia. Axon branching characteristics are similar in gustatory neurons from male and female mice. Cluster analysis separated the neurons into four groups according to branch complexity. The primary difference between clusters was the amount of the nerve fiber within the taste bud available to contact taste-transducing cells. Consistently, we found that the maximum number of taste-transducing cells capable of providing convergent input onto individual gustatory neurons varied with a range of 1-22 taste-transducing cells. Differences in branching characteristics across neurons indicate that some neurons likely receive input from a larger number of taste-transducing cells than other neurons (differential convergence). By dividing neurons into two groups based on the type of taste-transducing cell most contacted, we found that neurons contacting primarily sour transducing cells were more heavily branched than those contacting primarily sweet/bitter/umami transducing cells. This suggests that neuron morphologies may differ across functional taste quality. However, the considerable remaining variability within each group also suggests differential convergence within each functional taste quality. Each possibility has functional implications for the system. Significance statementTaste neurons are considered relay cells, communicating information from taste-transducing cells to the brain, without variation in morphology. By reconstructing peripheral taste neuron morphologies for the first time, we found that some peripheral gustatory neurons are simply branched, and can receive input from only a few taste-transducing cells. Other taste neurons are heavily branched, contacting many more taste-transducing cells than simply branched neurons. Based on the type of taste-transducing cell contacted, branching characteristics are predicted to differ across (and within) quality types (sweet/bitter/umami vs sour). Therefore, functional differences between neurons likely depends on the number of taste-transducing cells providing input and not just the type of cell providing input.

neuroscience↗

bioRxiv2020

Protein arginine methyltransferase 5 promotes metastasis via enhancing EGFR transcription and modulating AKT1 activation by methylation

Protein arginine methyltransferase 5 (PRMT5) regulates a wide range of physiological processes, including cancer cell proliferation and metastasis, by generating symmetric di-methyl-arginine marks on histones and non-histone proteins. Here, we report that PRMT5 directly regulates epidermal growth factor receptor (EGFR) transcription to control EGF stimulated EGFR signaling. Furthermore, PRMT5 modulates protein kinase B (AKT) activation by methylation of AKT1 Arg 15, which is required for its subsequent phosphorylation at AKT1 Thr 308 and Ser 473. The PRMT5/EGFR/AKT axis converges to regulate transcription factors ZEB1, SNAIL, and TWIST1 to promote the epithelial-mesenchymal transition (EMT), in the manner that EGFR and AKT1 compensate each other to support tumor cell invasion and metastasis. Inhibiting PRMT5 methyltransferase activity with a small molecule inhibitor attenuated primary tumor growth and prevented hepatic metastasis in aggressive in vivo tumor models. Collectively, our results support the use of PRMT5 based therapies for metastatic cancer.

cancer biology↗