Biology subjects

Huang, Y.

Publications and source records attributed to Huang, Y..

At least 775 records · Page 43Linked to original sources

bioRxiv2021

Computational inference, validation, and analysis of 5'UTR-leader sequences of alleles of immunoglobulin heavy chain variable genes

Upstream and downstream sequences of immunoglobulin genes may affect the expression of such genes. However, these sequences are rarely studied or characterized in most studies of immunoglobulin repertoires. Inference from large, rearranged immunoglobulin transcriptome data sets offers an opportunity to define the upstream regions (5-untranslated regions and leader sequences). We have now established a new data pre-processing procedure to eliminate artifacts caused by a 5-RACE library generation process, reanalyzed a previously studied data set defining human immunoglobulin heavy chain genes, and identified novel upstream regions, as well as previously identified upstream regions that may have been identified in error. Upstream sequences were also identified for a set of previously uncharacterized germline gene alleles. Several novel upstream region variants were validated, for instance by their segregation to a single haplotype in heterozygotic subjects. SNPs representing several sequence variants were identified from population data. Finally, based on the outcomes of the analysis, we define a set of testable hypotheses with respect to the placement of particular alleles in complex IGHV locus haplotypes, and discuss the evolutionary relatedness of particular heavy chain variable genes based on sequences of their upstream regions.

immunology↗

bioRxiv2021

Revealing the full biosphere structure and versatile metabolic functions in the deepest ocean sediment of the Challenger Deep

BackgroundThe full biosphere structure and functional exploration of the microbial communities of the Challenger Deep of the Mariana Trench, the deepest known hadal zone on Earth, lag far behind that of other marine realms. ResultsWe adopt a deep metagenomics approach to investigate the microbiome in the sediment of Challenger Deep, Mariana Trench. We construct 178 metagenome-assembled genomes (MAGs) representing 26 phyla, 16 of which are reported from hadal sediment for the first time. Based on the MAGs, we find the microbial community functions are marked by enrichment and prevalence of mixotrophy and facultative anaerobic metabolism. The microeukaryotic community is found to be dominated by six fungal groups that are characterized for the first time in hadal sediment to possess the assimilatory and dissimilatory nitrate/sulfate reduction, and hydrogen sulfide oxidation pathways. By metaviromic analysis, we reveal novel hadal Caudovirales clades, distinctive virus-host interactions, and specialized auxiliary metabolic genes for modulating hosts nitrogen/sulfur metabolism. The hadal microbiome is further investigated by large-scale cultivation that cataloged 1070 bacterial and 19 fungal isolates from the Challenger Deep sediment, many of which are found to be new species specialized in the hadal habitat. ConclusionOur hadal MAGs and isolates increase the diversity of the Challenger Deep sediment microbial genomes and isolates present in the public. The deep metagenomics approach fills the knowledge gaps in structure and diversity of the hadal microbiome, and provides novel insight into the ecology and metabolism of eukaryotic and viral components in the deepest biosphere on earth.

microbiology↗

bioRxiv2021

Improving Timeliness in the Neglected Tropical Diseases Preventive Chemotherapy Donation Supply Chain through Information Sharing: A Retrospective Empirical Analysis

BackgroundBillions of doses of medicines are donated for mass drug administrations in support of the World Health Organizations "Roadmap to Implementation," which aims to control, eliminate, and eradicate Neglected Tropical Diseases (NTDs). The supply chain to deliver these medicines is complex, with fragmented data systems and limited visibility on performance. This study empirically evaluates the impact of an online supply chain performance measurement system, "NTDeliver," providing understanding of the value of information sharing towards the success of global health programs. MethodsRetrospective secondary data was extracted from NTDeliver, which included 1,484 shipments for four critical medicines ordered by over 100 countries between February 28, 2006 and December 31, 2018. We applied statistical regression models to analyze the impact on key performance metrics, comparing data before and after the system was implemented. FindingsThe results suggest information sharing has a positive impact on three performance indicators: purchase order timeliness ({beta}=1.01, p<0.000), arrival timeliness ({beta}=0.53, p=0.09), and--most importantly--delivery timeliness ({beta}=0.73, p=0.03). Three variables indicated an increased positive impact when the data is publicly shared: shipment timeliness ({beta}=2.57, p=0.001), arrival timeliness ({beta}=2.88, p=0{middle dot}003), and delivery timeliness ({beta}=2.82, p=0.01). ConclusionsOur findings suggest that information sharing between the NTD program partners can help drive improved performance in the supply chain, and even more so when data is shared publicly. Given the large volume of medicine and the significant number of people requiring these medicines, information sharing has the potential to provide improvements to global health programs affecting the health of tens to hundreds of millions of people Author SummaryThe supply chain to deliver donated preventive chemotherapy medicines is complex due to the many stakeholders and partnerships participating, as well as challenging because the logistics are further complicated by delivery to remote destinations in developing countries. As MDA campaigns involve treating hundreds of thousands to millions of patients in endemic regions within entire countries over the course of days or weeks, close coordination and timing of medicine delivery is critical. Inefficiencies caused by fragmented data systems and limited transparency on supply chain performance further challenges the ability to identify shipment issues and explore the root cause of the issues. Prior to 2016, delivery was performing below standards, lagging as much as 40% below the WHO target of 80% on-time delivery. These delays result in wasted medicine donations, increased program costs, delayed MDAs, or sometimes even completely missed MDAs. In September 2016, an online supply chain performance measurement system, "NTDeliver," was launched by the NTD Supply Chain Forum (a public-private partnership focused on managing and improving the PC donation supply chain) to enhance supply chain performance and information transparency. Our findings suggest that information sharing through NTDeliver is positively associated with performance at several key stages in NTD supply chain and that information sharing has more substantial positive impact on performance when the information is made publicly accessible, focused towards country program managers. The study findings support investment in supply chain systems and commitment to data transparency, in the context of a growing focus on supply chain investment in NTD programs.

microbiology↗

bioRxiv2021

Stromal HIF2 Regulates Immune Suppression in the Pancreatic Cancer Microenvironment

Background & AimsPancreatic ductal adenocarcinoma (PDAC) has a hypoxic, immunosuppressive stroma, which contributes to its resistance to immune checkpoint blockade therapies. The hypoxia-inducible factors (HIFs) mediate the cellular response to hypoxia, but their role within the PDAC tumor microenvironment remains unknown. MethodsWe used a dual recombinase mouse model to delete Hif1 or Hif2 in -smooth muscle actin (SMA)-expressing cancer-associated fibroblasts (CAFs) arising within spontaneous pancreatic tumors. The effects of CAF-Hif2 expression on tumor progression and composition of the tumor microenvironment were evaluated by Kaplan-Meier analysis, quantitative real-time polymerase chain reaction, histology, immunostaining, and by both bulk and single-cell RNA sequencing. CAF-macrophage crosstalk was modeled ex vivo using conditioned media from CAFs after treatment with hypoxia and PT2399, a HIF2 inhibitor currently in clinical trials. Syngeneic flank and orthotopic PDAC models were used to assess whether HIF2 inhibition improves response to immune checkpoint blockade. ResultsCAF-specific deletion of HIF2, but not HIF1, suppressed PDAC tumor progression and growth, and improved survival of mice by 50% (n = 21-23 mice/group, Log-rank P = 0.0009). Deletion of CAF-HIF2 modestly reduced tumor fibrosis and significantly decreased the intratumoral recruitment of immunosuppressive M2 macrophages and regulatory T cells. Treatment with the clinical HIF2 inhibitor PT2399 significantly reduced in vitro macrophage chemotaxis and M2 polarization, and improved tumor responses to immunotherapy in both syngeneic PDAC mouse models. ConclusionsTogether, these data suggest that stromal HIF2 is an essential component of PDAC pathobiology and is a druggable therapeutic target that could relieve tumor microenvironment immunosuppression and enhance immune responses in this disease.

cancer biology↗

bioRxiv2021

Golden pompano genome resource enables discovery of valuable gene determining growth traits

One important goal of fish genetic breeding is to identify valuable loci and genes that can facilitate growth and thereby productivity. Few such loci or genes have been identified in golden pompano (Trachinotus ovatus), a species of significant economic value. In this study, we produced a high-quality chromosome-level genome assembly of the golden pompano by de novo sequencing and assemblies for 2 parents and 200 F1 offspring by genome re-sequencing. We exploited these assemblies to identify loci and genes by QTL mapping, Kompetitive Allele Specific PCR (KASP) genotyping, and haplotype-based regional association analysis based on growth records of a 64 biparental and 147 individuals from a naturally occurring population. At a locus 291kb from BSNP21031, we identified a somatostatin receptor type 1-like (designated as gpsstr1) gene in which the BSNP1369 of the promoter region was highly associated with growth. Loss of sstr1a, the homolog of gpsstr1 in zebrafish, caused growth retardation. Sstr1a mediated growth via sstr2 and Wnt-gsk-3{beta} signaling pathways. Our findings provide new insights into the underlying mechanisms controlling growth. Our strategy can serve as an effective way to uncover novel genomic information and facilitate improvement of fish growth.

genomics↗

bioRxiv2021

Disrupted microglial iron homeostasis in progressive multiple sclerosis

Multiple Sclerosis (MS) is a chronic autoimmune disease affecting the central nervous system (CNS). Despite therapies that reduce relapses, many patients eventually develop secondary progressive MS (SPMS), characterized by ongoing and irreversible neurodegeneration and worsening clinical symptoms. Microglia are the resident innate immune cells of the CNS. While the cellular and molecular determinants of disability progression in MS remain incompletely understood, they are thought to include non-resolving microglial activation and chronic oxidative injury. In this study, our aim was to better characterize microglia in SPMS tissues to identify disease-related changes at the single cell level. We performed single nucleus RNA-seq (snRNA-seq) on cryopreserved post-mortem brain cortex and identified disease associated changes in multiple cell types and in particular distinct SPMS-enriched microglia subsets. When compared to the cluster most enriched in healthy controls (i.e. homeostatic microglia), we found a number of SPMS-enriched clusters with transcriptional profiles reflecting increased oxidative stress and perturbed iron homeostasis. Using histology and RNA-scope, we confirmed the presence of iron accumulating, ferritin-light chain (FTL)-expressing microglia in situ. Among disease-enriched clusters, we found evidence for divergent responses to iron accumulation and identified the antioxidant enzyme GPX4 as a key fate determinant. These data help elucidate processes that occur in progressive MS brains, and highlight novel nodes for therapeutic intervention.

neuroscience↗

bioRxiv2021

Single Cell Atlas of Human Putamen Reveals Disease Specific Changes in Synucleinopathies: Parkinson's Disease and Multiple System Atrophy

Understanding disease biology at a cellular level from disease specific tissues is imperative for effective drug development for complex neurodegenerative diseases. We profiled 87,086 nuclei from putamen tissue of healthy controls, Parkinsons Disease (PD), and Multiple System Atrophy (MSA) subjects to construct a comprehensive single cell atlas. Although both PD and MSA are manifestations of -synuclein protein aggregation, we observed that both the diseases have distinct cell-type specific changes. We see a possible expansion and activation of microglia and astrocytes in PD compared to MSA and controls. Contrary to PD microglia, we found absence of upregulated unfolded protein response in MSA microglia compared to controls. Differentially expressed genes in major cell types are enriched for genes associated with PD-GWAS loci. We found altered expression of major neurodegeneration associated genes -- SNCA, MAPT, LRRK2, and APP -- at cell-type resolution. We also identified disease associated gene modules using a network biology approach. Overall, this study creates an interactive atlas from synucleinopathies and provides major cell-type specific disease insights. Link to interactive atlas will be made available at the time of publication.

genomics↗

bioRxiv2021

Single Nuclei Sequencing of Human Putamen Oligodendrocytes Reveals Altered Heterogeneity and Disease-Associated Changes in Parkinson's Disease and Multiple System Atrophy

The role of oligodendrocytes in neurodegenerative diseases remains incompletely understood and largely unexplored at the single cell level. We profiled 87,086 single nuclei from human brain putamen region for healthy control, Parkinsons Disease (PD), and Multiple System Atrophy (MSA). Oligodendrocyte lineage cells were the dominant cell-type in the putamen with oligodendrocyte subpopulations clustered by transcriptomic variation found to exhibit diverse functional enrichment patterns, and this oligodendrocyte heterogeneity was altered in a disease-specific way. Among profiled oligodendrocyte subpopulations, differences in expression of SNCA, HAPLN2, MAPT, APP, and OPALIN were observed for PD and MSA compared with healthy controls. Intriguingly, greater activation of unfolded protein response pathway gene expression was observed in PD nuclei versus MSA. Using network analysis, we then identified specific PD- and MSA-correlated gene co-expression modules enriched with disease relevant pathways; the PD-correlated module was significantly enriched for Parkinsons Disease GWAS loci (p = 0.01046). Our analysis provides a broader understanding of oligodendrocyte heterogeneity and reveals distinctive oligodendrocyte pathological alterations associated with PD and MSA which may suggest potential novel therapeutic targets and new strategies for disease modification.

genomics↗

bioRxiv2021

Genomic sequences and RNA binding proteins predict RNA splicing kinetics in various single-cell contexts

RNA splicing is a key step of gene expression in higher organisms. Accurate quantification of the two-step splicing kinetics is of high interests not only for understanding the regulatory machinery, but also for estimating the RNA velocity in single cells. However, the kinetic rates remain poorly understood due to the intrinsic low content of unspliced RNAs and its stochasticity across contexts. Here, we estimated the relative splicing efficiency across a variety of single-cell RNA-Seq data with scVelo. We further extracted three large feature sets including 92 basic genomic sequence features, 65,536 octamers and 120 RNA binding proteins features and found they are highly predictive to RNA splicing efficiency across multiple tissues on human and mouse. A set of important features have been identified with strong regulatory potentials on splicing efficiency. This predictive power brings promise to reveal the complexity of RNA processing and to enhance the estimation of single-cell RNA velocity.

bioinformatics↗

bioRxiv2021

Heterogeneous pdgfrβ+ cells regulate coronary vessel development and revascularization during heart regeneration

Endothelial cells emerge from the atrioventricular canal (AVC) to form nascent coronary blood vessels in the juvenile zebrafish heart. We found that pdgfr{beta} is first expressed in the epicardium around the AVC and later becomes localized mainly in the mural cells. pdgfr{beta} mutant fish display severe defects in mural cell recruitment and coronary vessel development. pdgfr{beta}+ mural cells are heterogeneous and those associated with coronary arteries also express cxcl12b. Mural cells positive for both pdgfr{beta} and cxcl12b transgenic reporters had elevated expression of smooth muscle cell genes. Interestingly, these mural cells were associated with coronary arteries even in the absence of Pdgfr{beta}, although smooth muscle gene expression was downregulated in these cells. We found that pdgfr{beta} expression dynamically changes in the epicardium derived cells, which we found to be a heterogeneous population. mdka was identified as a gene upregulated in subpopulations of pdgfr{beta}+ cells during heart regeneration. However, pdgfr{beta} but not mdka mutants showed defects in heart regeneration. Our results demonstrated that pdgfr{beta}+ cells and Pdgfr{beta} signaling are essential for coronary development and heart regeneration. SUMMARY STATEMENTHeterogeneous pdgfr{beta} positive cells are present in developing and regenerating zebrafish hearts and are required for development of mural cells and their association with the nascent coronary vessels during zebrafish heart development and regeneration.

developmental biology↗

bioRxiv2021

ILK play a key role in partial bladder outler obstruction (PBOO) by regulation TLR4/NF-κB(p65) pathway

AimThe purpose of this research was to discuss the effects and relative mechanisms of ILK in PBOO by vivo and vitro study. Materials and methodsThe SD rats were divided into Normal, Sham and Model groups. Collecting Bladder outlet tissue, observation pathology and fibrosis levels by H&E and Masson staining. Measuring cell apoptosis and cell viability by TUNEL and p-histone H3 staining, ILK protein were evaluated by WB and IHC assay in Bladder outlet tissue. Using TGF-{beta}1 stimulating BSMC cell to make PBOO cell model. Measuring cell proliferation by CCK-8 assay; Relative gene and proteins expression were evaluated by immunofluorescence, WB and RT-qPCR assay. ResultsCompared with Normal group, bladder weight, collage fiber area, apoptosis cell number and cell viability were significantly difference with ILK protein significantly increasing in bladder outer tissues of Model group (P < 0.05, respectively). In vitro cell experiment, ILK overexpression had effects to stimulate cell proliferation via TLR4/NF-{kappa}B(p65) pathway; however, with ILK knockdown, the cell proliferation was significantly depressed via regulation TLR4/NF-{kappa}B(p65). ConclusionILK play an important role in PBOO induced cell proliferation, ILK knockdown had effects to improve PBOO induced cell hyper-proliferation via depressing TLR4/NF-{kappa}B(p65) pathway.

genetics↗

bioRxiv2021

Self-organized yolk sac-like organoids allow for scalable generation of multipotent hematopoietic progenitor cells from human induced pluripotent stem cells

The human definitive yolk sac is an important organ supporting the early developing embryo through nutrient supply and by facilitating the establishment of the embryonic circulatory system. However, the molecular and cellular biology of the human yolk sac remains largely obscure due to the lack of suitable in vitro models. Here, we show that human induced pluripotent stem cells (hiPSCs) co-cultured with various types of stromal cells as spheroids self-organize into yolk sac-like organoids without the addition of exogenous factors. Yolk sac-like organoids recapitulated a yolk sac specific cellular complement and structures as well as the functional ability to generate definitive hematopoietic progenitor cells (HPCs). Furthermore, sequential hemato-vascular ontogenesis could be observed during organoid formation. Notably, our organoid system can be performed in a scalable, autologous, and xeno-free condition, thereby providing an important model of human definitive yolk sac development and allows for efficient bulk generation of hiPSC-derived HPCs.

cell biology↗

bioRxiv2021

Single cell response landscape of graded Nodal signaling in zebrafish explants

Nodal, as a morphogen, plays important roles in cell fate decision, pattern formation and organizer function. But because of the complex context in vivo and technology limitations, systematic studying of genes, cell types and patterns induced by Nodal alone is still missing. Here, by using a relatively simplified model, the zebrafish blastula animal pole explant avoiding additional instructive signals and prepatterns, we constructed a single cell response landscape of graded Nodal signaling, identified 105 Nodal immediate targets and depicted their expression patterns. Our results show that Nodal signaling is sufficient to induce anterior-posterior patterned axial mesoderm and head structure. Surprisingly, the endoderm induced by Nodal alone is mainly the anterior endoderm which gives rise to the pharyngeal pouch only, but not internal organs. Among the 105 Nodal targets, we identified 14 genes carrying varying levels of axis induction capability. Overall, our work provides new insights for understanding of the Nodal function and a valuable resource for future studies of patterning and morphogenesis induced by it.

developmental biology↗

bioRxiv2021

Whole genome sequencing revealed genetic diversity and selection of Guangxi indigenous chickens

Guangxi chickens play an important role in promoting the high-quality development of the broiler industry in China, but their value and potential are yet to be discovered. To determine the genetic diversity and population structure of Guangxi indigenous chicken, we analyzed the whole genomes of 185 chicken from 8 phenotypically and geographically representative Guangxi chicken breeds, together with 12 RJFt, 12 BRA and 12 WL genomes available from previous studies. Calculation of heterozygosity (Hp), nucleotide diversity ({pi}), and LD level indicated that Guangxi populations were characterized by higher genetic diversity and lower differentiation than RJFt and commercial breeds except HGFC. Population structure analysis also confirmed the introgression from commercial broiler breeds. Each population clustered together while the overall differentiation was small, MA has the richest genetic diversity among all varieties. Selective sweep analysis revealed BCO2, EDN3 and other candidate genes have received strong selection in local breeds, these also provided novel breeding visual and data basis for future breeding.

genetics↗

bioRxiv2021

Species-specific gene duplication in Arabidopsis thaliana evolved novel phenotypic effects on morphological traits under strong positive selection

Gene duplication is increasingly recognized as an important mechanism for the origination of new genes, as revealed by comparative genomic analysis. However, the ways in which new duplicate genes contribute to phenotypic evolution remain largely unknown, especially in plants, owing to a lack of experimental and phenotypic data. In this study, we identified the new gene Exov, derived from a partial gene region duplication of its parental gene Exov-L, which is a member of an exonuclease family, into a different chromosome in Arabidopsis thaliana. We experimentally investigated the phenotypic effects of Exov and Exov-L in an attempt to understand how the new gene diverged from the parental copy and contributes to phenotypic evolution. Evolutionary analysis demonstrated that Exov is a species-specific gene that originated within the last 3.5 million years and shows strong signals of positive selection. Unexpectedly, RNAseq analyses reveal that the new gene, despite its young age, has acquired a large number of novel direct and indirect interactions in which the parental gene does not engage. This is consistent with a high, selection-driven substitution rate in the protein sequence encoded by Exov in contrast to the slowly evolving Exov-L, suggesting an important role for Exov in phenotypic evolution. We analyzed phenotypic effects of exov and exov-l single T-DNA-insertion mutants;double exov, exov-l T-DNA insertion mutants; and CRISPR/Cas9-mediated exovcrp and exov-lcrp knockouts on seven morphological traits in both the new and parental genes. We detected significant segregation of morphological changes for all seven traits when assessed in terms of single mutants, as well as morphological changes for seven traits associated with segregation of double exov, exov-l mutants. Substantial divergence of phenotypic effects between new and parental genes was revealed by principal component analyses, suggesting neofunctionalization in the new gene. These results reveal a young gene that plays critical roles in biological processes that underlie morphological and developmental evolution in Arabidopsis thaliana.

evolutionary biology↗

bioRxiv2021

MQuad enables clonal substructure discovery using single cell mitochondrial variants

Mitochondrial mutations are increasingly recognised as informative endogenous genetic markers that can be used to reconstruct cellular clonal structure using single-cell RNA or DNA sequencing data. However, there is a lack of effective computational methods to identify informative mtDNA variants in noisy and sparse single-cell sequencing data. Here we present an open source computational tool MQuad that accurately calls clonally informative mtDNA variants in a population of single cells, and an analysis suite for complete clonality inference, based on single cell RNA or DNA sequencing data. Through a variety of simulated and experimental single cell sequencing data, we showed that MQuad can identify mitochondrial variants with both high sensitivity and specificity, outperforming existing methods by a large extent. Furthermore, we demonstrated its wide applicability in different single cell sequencing protocols, particularly in complementing single-nucleotide and copy-number variations to extract finer clonal resolution. MQuad is a Python package available via https://github.com/single-cell-genetics/MQuad.

bioinformatics↗

bioRxiv2021

A novel method for generating 3D constructs with branched vascular networks using multi-materials bioprinting and direct surgical anastomosis

Vessels pervade almost all body tissues, and significantly influence the pathophysiology of human body. Previous attempts to establish multi-scale vascular connection and function in 3D model tissues using bioprinting have had limited success due to the incoordination between cell-laden materials and stability of the perfusion channel. Here, we report a methodology to fabricate centimetre-scale vascularized soft tissue with high viability and accuracy using multi-materials bioprinting involving inks with low viscosity and a customized multistage-temperature-control printer. The tissue formed was perfused with branched vasculature with well-formed 3D capillary network and lumen, which would potentially supply the cellular components with sufficient nutrients in the matrix. Furthermore, the same methodology was applied for generating liver-like tissue with the objective to fabricate and mimic a mature and functional liver tissue, with increased functionality in terms of synthesis of liver specific proteins after in vitro perfusion and in vivo subperitoneal transplantation in mice. Moreover, to establish immediate blood perfusion, an elastic layer was printed wrapping sacrificial ink to support the direct surgical anastomosis of the carotid artery to the jugular vein. Our findings highlight the support extended by vasculature network in soft hydrogels which helps to sustain the thick and dense cellularization in engineered tissues.

bioengineering↗

bioRxiv2021

Representation learning of RNA velocity reveals robust cell transitions

AO_SCPLOWBSTRACTC_SCPLOWRNA velocity is a promising technique to reveal transient cellular dynamics among a heterogeneous cell population and quantify their transitions from single-cell transcriptome experiments. However, the cell transitions estimated from high dimensional RNA velocity are often unstable or inaccurate, partly due to the high technical noise and less informative projection. Here, we present VeloAE, a tailored representation learning method to learn a low-dimensional representation of RNA velocity on which cell transitions can be robustly estimated. From various experimental datasets, we show that VeloAE can both accurately identify stimulation dynamics in time-series designs and effectively capture the expected cellular differentiation in different biological systems. VeloAE therefore enhances the usefulness of RNA velocity for studying a wide range of biological processes.

bioinformatics↗