Biology subjects

Jin, W.

Publications and source records attributed to Jin, W..

At least 91 records · Page 5Linked to original sources

bioRxiv2020

Glycosaminoglycan binding motif at S1/S2 proteolytic cleavage site on spike glycoprotein may facilitate novel coronavirus (SARS-CoV-2) host cell entry

Severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) has resulted in a pandemic and continues to spread around the globe at an unprecedented rate. To date, no effective therapeutic is available to fight its associated disease, COVID-19. Our discovery of a novel insertion of glycosaminoglycan (GAG)-binding motif at S1/S2 proteolytic cleavage site (681-686 (PRRARS)) and two other GAG-binding-like motifs within SARS-CoV-2 spike glycoprotein (SGP) led us to hypothesize that host cell surface GAGs might be involved in host cell entry of SARS-CoV-2. Using a surface plasmon resonance direct binding assay, we found that both monomeric and trimeric SARS-CoV-2 spike more tightly bind to immobilized heparin (KD = 40 pM and 73 pM, respectively) than the SARS-CoV and MERS-CoV SGPs (500 nM and 1 nM, respectively). In competitive binding studies, the IC50 of heparin, tri-sulfated non-anticoagulant heparan sulfate, and non-anticoagulant low molecular weight heparin against SARS-CoV-2 SGP binding to immobilized heparin were 0.056 M, 0.12 M, and 26.4 M, respectively. Finally, unbiased computational ligand docking indicates that heparan sulfate interacts with the GAG-binding motif at the S1/S2 site on each monomer interface in the trimeric SARS-CoV-2 SGP, and at another site (453-459 (YRLFRKS)) when the receptor-binding domain is in an open conformation. Our study augments our knowledge in SARS-CoV-2 pathogenesis and advances carbohydrate-based COVID-19 therapeutic development.

biochemistry↗

bioRxiv2020

Integrated decoding hematopoiesis and leukemogenesis at single-cell resolution and its clinical implication

Integrated analyses of hematopoiesis and leukemogenesis could provide new biological and clinical insights1,2. Here we constructed a comprehensive cell atlas using [~]100,000 single cell transcriptomes of bone marrow mononuclear cells and its subsets from 5 healthy samples and 13 leukemia samples. Trajectory analysis showed hematopoietic stem cells continuously differentiated through tree-like structure into 7 lineages. Although our single cell analyses showed the major cellular heterogeneity were inter-patients, there were distinct leukemia cell subpopulations within patient. We developed counterpart composite index (CCI) for projecting leukemia cell subpopulation into reference hematopoietic cells, to identify their healthy counterparts that could predict leukemia subtype and clinical outcome. Interestingly, we found the trajectories of leukemogenesis were similar to that of their healthy counterparts, indicating lineage relationship of leukemia cell subpopulations. Single cell analyses of leukemia patient at diagnosis, refractory, remission and relapse vividly presented dynamics of cell population and the underlying genes. Single cell transcriptomic variants analyses showed the relapsed leukemia cells, whose healthy counterparts were closer to the root of hematopoietic tree, were derived from an early minor leukemia cell population. This study not only increased our understanding of hematopoiesis and leukemogenesis, but also provided an approach for leukemia classification and clinical outcome prediction.

genomics↗

bioRxiv2020

P4HA2, a prognostic factor, promotes glioma proliferation, invasion, migration and EMT through collagen regulation and PI3K/AKT pathway

Prolyl-4-hydroxylase subunit 2 (P4HA2), as a member of collagen modification enzymes, is induced under hypoxic conditions with essential roles in the collagen maturation, deposition as well as the remodeling of extracellular matrix(ECM). Mounting evidence has suggested that deregulation of P4HA2 is common in cancer. However, the expression pattern and molecular mechanisms of P4HA2 in glioma remain unknown. Here, we demonstrate that P4HA2 is overexpressed in glioma and inversely correlates with patient survival. Knockdown of P4HA2 inhibits proliferation, migration, invasion, and epithelial-to-mesenchymal transition (EMT)-like phenotype of glioma cells in vitro and suppressed tumor xenograft growth in vivo. Mechanistically, bioinformatics analysis shows that ECM-receptor interaction and PI3K/AKT pathway are the most enriched pathways of the co-expressed genes with P4HA2. Furthermore, P4HA2 mRNA was positively correlated with mRNA expressions of a series of collagen genes, but not mRNA of PI3K or AKT1/2. Conversely, both the protein expressions of collagens and phosphorylated PI3K/AKT could be downregulated either by silencing of P4HA2 expression or inhibition of its prolyl hydroxylase. Moreover, the inhibitory effects on the migration, invasion and the EMT-related molecules by P4HA2 knockdown can be recapitulated by the Akt phosphorylation activator. Taken together, our findings for the first time reveal an oncogenic role of P4HA2 in the glioma malignancy. By regulating the expression of fibrillar collagens and the downstream PI3K/AKT signaling pathway, it may serve as a potential anti-cancer target for the treatment of glioma. HighlightsP4HA2 is overexpressed and correlated with poor prognosis in glioma. P4HA2 depletion inhibits glioma proliferation, migration, invasion and EMT-like phenotype in vitro and tumorigenesis in vivo. P4HA2 depletion attenuates the PI3K/AKT signaling pathway in a collagen-dependent manner.

cancer biology↗

bioRxiv2020

Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning

Gastric cancer is among the most malignant tumours with the highest incidence and mortality rates. The early detection and accurate histopathological diagnosis of gastric cancer are essential factors that can help increase the chances of successful treatment. While the worldwide shortage of pathologists has imposed burdens on current histopathology services, it also offers a unique opportunity for the use of artificial intelligence assistance systems to alleviate the workload and increase diagnostic accuracy. To the best of our knowledge, there has not been a clinically applicable histopathological assistance system with high accuracy that can generalize to whole slide images created with diverse digital scanner models from different hospitals. Here, we report a clinically applicable artificial intelligence assistance system developed at the Chinese PLA General Hospital, China, using a deep convolutional neural network trained with 2,123 pixel-level annotated H&E-stained whole slide images. The model achieved a sensitivity near 100% and an average specificity of 80.6% on a real-world test dataset, which included 3,212 whole slide images digitalized with three scanner models. We showed that the system could aid pathologists in improving diagnostic accuracy and preventing misdiagnoses. Moreover, we demonstrated that our system could perform robustly with 1,582 whole slide images from two other medical centres. Our study suggests the feasibility and benefits of using histopathological artificial intelligence assistance systems in routine practice scenarios.Competing Interest StatementXiaoqing Zhang is the founder of Thorough Images. Shuhao Wang is the co-founder and chief technology officer (CTO) of Thorough Images. Calvin Ku, Cancheng Liu, Zhuo Sun, Gang Xu, Yuefeng Wang are algorithm researchers of Thorough Images. All remaining authors have declared no conflicts of interest.View Full Text

pathology↗

bioRxiv2020

TrkB induced metastatic potential of cancer by suppression of BMP mediated tumor inhibitory activity

Our previous observations also demonstrate that TrkB expression in breast cancer induces metastatic potential by both JAK2/STAT3 and PI3K/AKT activation and induced metastasis of breast cancer mediated suppression of RUNX3 and KEAP1 expression by TrkB. Also, TrkB induced metastatic potential of cancer and suppressed the growth inhibitory activity in response to BMP signaling by preventing BMRRI/BMPRII complex formation. The previous report BMP-2 and BMP4 trigger tumor inhibitory activity in colorectal cancer by upregulation of RUNX3 expression. Although TrkB may regulate tumor inhibitory activity by BMP-induced upregulation of RUNX3, it is not still fully understood how TrkB signaling adjusts to inhibit BMP signaling-mediated tumor suppression.Our findings provide important molecular insights into TrkB-mediated modulation of BMP signaling has remained unknown, and none of the studies still reported a correlation between TrkB and BMP signaling. Our current study surprisingly showed that unique role of TrkB in the regulation of BMP-induced tumor inhibitory activity and BMP-2-induced RUNX3 expression.

cancer biology↗

bioRxiv2020

New mathematical modelling tools for co-culture experiments: when do we need to explicitly account for signalling molecules?

Mathematical models are often applied to describe cell migration regulated by diffusible signalling molecules. A typical feature of these models is that the spatial and temporal distribution of the signalling molecule density is reported by solving a reaction-diffusion equation. However, the spatial and temporal distributions of such signalling molecules are not often reported or observed experimentally. This leads to a mismatch between the amount of experimental data available and the complexity of the mathematical model used to simulate the experiment. To address this mismatch, we develop a discrete model of cell migration that can be used to describe a new suite of co-culture cell migration assays involving two interacting subpopulations of cells. In this model, the migration of cells from one subpopulation is regulated by the presence of signalling molecules that are secreted by the other subpopulation of cells. The spatial and temporal distribution of the signalling molecules is governed by a discrete conservation statement that is related to a reaction-diffusion equation. We simplify the model by invoking a steady state assumption for the diffusible molecules, leading to a reduced discrete model allowing us to describe how one subpopulation of cells stimulates the migration of the other subpopulation of cells without explicitly dealing with the diffusible molecules. We provide additional mathematical insight into these two stochastic models by deriving continuum limit partial differential equation descriptions of both models. To understand the conditions under which the reduced model is a good approximation of the full model, we apply both models to mimic a set of novel co-culture assays and we systematically explore how well the reduced model approximates the full model as a function of the model parameters.

biophysics↗

bioRxiv2019

Exploring the Changing Landscape of Cell-to-Cell Variation After CTCF Knockdown via Single Cell RNA-seq

BackgroundCCCTC-Binding Factor (CTCF), also known as 11-zinc finger protein, participates in many cellular processes, including insulator activity, transcriptional regulation and organization of chromatin architecture. Based on single cell flow cytometry and single cell RNA-FISH analyses, our previous study showed that deletion of CTCF binding site led to a significantly increase of cellular variation of its target gene. However, the effect of CTCF on genome-wide landscape of cell-to-cell variation is unclear. ResultsWe knocked down CTCF in EL4 cells using shRNA, and conducted single cell RNA-seq on both wild type (WT) cells and CTCF-Knockdown (CTCF-KD) cells using Fluidigm C1 system. Principal component analysis of single cell RNA-seq data showed that WT and CTCF-KD cells concentrated in two different clusters on PC1, indicating gene expression profiles of WT and CTCF-KD cells were systematically different. Interestingly, GO terms including regulation of transcription, DNA binding, Zinc finger and transcription factor binding were significantly enriched in CTCF-KD-specific highly variable genes, indicating tissue-specific genes such as transcription factors were highly sensitive to CTCF level. The dysregulation of transcription factors potentially explain why knockdown of CTCF lead to systematic change of gene expression. In contrast, housekeeping genes such as rRNA processing, DNA repair and tRNA processing were significantly enriched in WT-specific highly variable genes, potentially due to a higher cellular variation of cell activity in WT cells compared to CTCF-KD cells. We further found cellular variation-increased genes were significantly enriched in down-regulated genes, indicating CTCF knockdown simultaneously reduced the expression levels and increased the expression noise of its regulated genes. ConclusionsTo our knowledge, this is the first attempt to explore genome-wide landscape of cellular variation after CTCF knockdown. Our study not only advances our understanding of CTCF function in maintaining gene expression and reducing expression noise, but also provides a framework for examining gene function.

genomics↗

bioRxiv2019

TET1-mediated Oligodendrocyte Homeostasis Regulates Myelination and Synaptic Functions

Ten-eleven translocation (TET) proteins, the dioxygenase for DNA hydroxymethylation, are important players in nervous system development and diseases. However, their role in myelination and remyelination after injury remains elusive. Here, we identify a genome-wide and locus-specific DNA hydroxymethylation landscape shift during differentiation of oligodendrocyte-progenitor cells (OPC). Ablation of Tet1 results in stage-dependent defects in oligodendrocyte (OL) development and myelination in the mouse brain. The mice lacking Tet1 in the oligodendrocyte lineage develop behavioral deficiency. We also show that TET1 is required for remyelination in adulthood. Transcriptomic, genomic occupancy, and DNA hydroxymethylation profiling reveal a critical TET1-regulated epigenetic program for oligodendrocyte differentiation that includes genes associated with myelination, cell division, and calcium transport. Tet1-deficient OPCs exhibit reduced calcium activity, increasing calcium activity rescues the differentiation defects in vitro. Deletion of a TET1-5hmC target gene, Itpr2 impairs the onset of OPC differentiation. Together, our results suggest that stage-specific TET1-mediated epigenetic programming and intracellular signaling are important for proper myelination and remyelination in mice.

neuroscience↗

bioRxiv2019

Identifying density-dependent interactions in collective cell behaviour

Scratch assays are routinely used to study collective cell behaviour in vitro. Typical experimental protocols do not vary the initial density of cells, and typical mathematical modelling approaches describe cell motility and proliferation based on assumptions of linear diffusion and logistic growth. Jin et al. (2016) find that the behaviour of cells in scratch assays is density-dependent, and show that standard modelling approaches cannot simultaneously describe data initiated across a range of initial densities. To address this limitation, we calibrate an individual based model to scratch assay data across a large range of initial densities. Our model allows proliferation, motility, and a direction bias to depend on interactions between neighbouring cells. By considering a hierarchy of models where we systematically and sequentially remove interactions, we perform model selection analysis to identify the minimum interactions required for the model to simultaneously describe data across all initial densities. The calibrated model is able to match the experimental data across all densities using a single parameter distribution, and captures details about the spatial structure of cells. Our results provide strong evidence to suggest that motility is density-dependent in these experiments. On the other hand, we do not see the effect of crowding on proliferation in these experiments. These results are significant as they are precisely the opposite of the assumptions in standard continuum models, such as the Fisher-Kolmogorov equation and its generalisations.

cell biology↗

bioRxiv2019

Principles of 3D Nucleus Organization and Epigenetic Regulation in Diploid Genome Revealed by Multi-omic Data from Hybrid Mouse

Most mammalian genomes are diploid and previous studies have extensively investigated the average epigenetic profiles of homologous chromosomes. Here we use hybrid mice to distinguish the epigenetic status and three-dimensional organization of homologous chromosomes. We generated Hi-C, ChIP-seq and RNA-seq datasets from CD4 T cells of B6, Cast and hybrid mice, respectively, and systematically analyzed the 3D nucleus organization and epigenetic regulation. Our data indicate that the inter-chromosomal interaction patterns between homologous chromosomes are similar and the similarity is highly correlated with their allelic co-expression levels. Construction of 3D nucleus based on allele-specific interaction frequency revealed symmetric positioning of homologous chromosomes in the 3D nuclear space. The inter-chromosomal interactions at centromeres are significantly weaker than those at telomeres, indicating positioning of centromeres toward the inside of chromosome territories and telomeres toward the surface of chromosome territories. The majority A|B compartments or topologically associated domains (TADs) are consistent between B6 and Cast. We found 58% of the haploids in hybrids maintain their parental compartment status at B6/Cast divergent compartments due to cis-effect. About 95% of the trans-effected B6/Cast divergent compartments converge to same compartment status potentially due to a shared cellular environment. We found the differentially expressed genes between the two haploids in hybrid were associated with either genetic associated cis-effects or epigenetic associated trans-effects. The widespread epigenetic differences between B6 and Cast suggest that epigenetic changes may be major contributors to differences between B6 and Cast. Our data revealed symmetrical positioning of homologous chromosomes in 3D nucleus and enhanced our understanding of allele-specific epigenetic regulation.

genomics↗

bioRxiv2019

Accumulated degeneration of transcriptional regulation contributes to disease development and detrimental clinical outcomes of Alzheimer’s disease

Alzheimers disease (AD) is extremely complex for both causal mechanism and clinical manifestation, requiring efforts to uncover its diversity and the corresponding mechanisms. Here, we applied a modelling analysis to investigate the regulation divergence among a large-scale cohort of AD patients. We found that transcription regulation tended to get degenerated in AD patients, which contributed to disease development and the detrimental clinical outcomes, mainly by disrupting protein degradation, neuroinflammation, mitochondrial and synaptic functions. To measure the accumulated effects, we came up with a new concept, regulation loss burden, which better correlated with AD related clinical manifestations and the ageing process. The epigenetic studies to multiple active regulation marks also supported a tendency of regulation loss in AD patients. Our finding can lead to a unified model as AD causal mechanism, where AD and its diversity are contributed by accumulated degeneration of transcriptional regulation.\n\nThe significance of this study is that: (1) it is the first system biology investigation to transcription regulation divergence among AD patients; (2) we observed an accumulated degeneration of transcription regulation, which well correlates with detrimental clinical outcomes; (3) transcriptional degeneration also contributes to the ageing process, where its correlation with ages is up to 0.78.

neuroscience↗

bioRxiv2019

Sequences Dimensionality-Reduction by K-mer Substring Space Sampling Enables Effective Resemblance- and Containment-Analysis for Large-Scale omics-data

We proposed a new sequence sketching technique named k-mer substring space decomposition (kssd), which sketches sequences via k-mer substring space sampling instead of local-sensitive hashing. Kssd is more accurate and faster for resemblance estimation than other sketching methods developed so far. Notably, kssd is robust even when two sequences are of very different sizes. For containment analysis, kssd slightly outperformed mash screen--its closest competitor--in accuracy, while took testing datasets of 110,535 times less space occupation and consumed 2,523 times less CPU time than mash screen--suggesting kssd is suite for quick containment analysis for almost the entire omics datasets deposited in NCBI. We detailed the kssd algorithm, provided proofs of its statistical properties and discussed the roots of its superiority, limitations and future directions. Kssd is freely available under an Apache License, Version 2.0 (https://github.com/yhg926/public_kssd)

bioinformatics↗

bioRxiv2019

Centrioles control the capacity, but not the specificity, of cytotoxic T cell killing

Immunological synapse formation between cytotoxic T lymphocytes (CTLs) and the target cells they aim to destroy is accompanied by reorientation of the CTL centrosome to a position beneath the synaptic membrane. Centrosome polarization is thought to enhance the potency and specificity of killing by driving lytic granule fusion at the synapse and thereby the release of perforin and granzymes toward the target cell. To test this model, we employed a genetic strategy to delete centrioles, the core structural components of the centrosome. Centriole deletion altered microtubule architecture, as expected, but surprisingly had no effect on lytic granule polarization and directional secretion. Nevertheless, CTLs lacking centrioles did display substantially reduced killing potential, which was associated with defects in both lytic granule biogenesis and synaptic actin remodeling. These results reveal an unexpected role for the intact centrosome in controlling the capacity, but not the specificity, of cytotoxic killing.

immunology↗

bioRxiv2019

Metabolic wastes are removed by excretosomes, nanotubes and exophers in mouse HT22 cells through an autophagic vesicle clustering mechanism

Neurodegenerative diseases are characterized by metabolic waste accumulations in neuronal cells. However, little is known about the mechanism of metabolic waste disposal. We showed that there is a constitutive waste excretion by nanotubes and structures called excretosomes in mouse neuronal HT22 cells under normal conditions and an exopher-type waste disposal under stressed conditions. Excretosomes and exophers are waste-enriched multivesicular bodies that are formed by autophagic vesicle clustering and fusions. Upon H2O2 treatment, metabolic waste marker intensified 1.4 to 3.4 fold. However, in dying H2O2-treated cells, glycolysis and stress response markers, alpha-Tubulin, Amyloid beta and alpha-Synuclein intensities reduced 30% to 80%. Amyloid beta, TAU and alpha-Synuclein associated with the autophagic vesicle clustering and fusion process and were excreted in large exophers by live oxidative-stressed cells before cell death with important implications for amyloid plaque, ghost tangle and Lewy body formation. H2O2 treatment also induced exophers containing nucleic acid materials and significantly increased the level of oxidative damage marker 8-OHdG. Oxidative stress-induced HT22 cell death could be due to the combinations of excretion failure, cytoskeleton disruption, defective glycolysis and DNA damage.

cell biology↗

bioRxiv2019

Revisiting the Fisher-KPP equation to interpret the spreading-extinction dichotomy

The Fisher-KPP model supports travelling wave solutions that are successfully used to model numerous invasive phenomena with applications in biology, ecology, and combustion theory. However, there are certain phenomena that the Fisher-KPP model cannot replicate, such as the extinction of invasive populations. The Fisher-Stefan model is an adaptation of the Fisher-KPP model to include a moving boundary whose evolution is governed by a Stefan condition. The Fisher-Stefan model also supports travelling wave solutions; however, a key additional feature of the Fisher-Stefan model is that it is able to simulate population extinction, giving rise to a spreading-extinction dichotomy. In this work, we revisit travelling wave solutions of the Fisher-KPP model and show that these results provide new insight into travelling wave solutions of the Fisher-Stefan model and the spreading-extinction dichotomy. Using a combination of phase plane analysis, perturbation analysis and linearisation, we establish a concrete relationship between travelling wave solutions of the Fisher-Stefan model and often-neglected travelling wave solutions of the Fisher-KPP model. Furthermore, we give closed-form approximate expressions for the shape of the travelling wave solutions of the Fisher-Stefan model in the limit of slow travelling wave speeds, c << 1.

biophysics↗

bioRxiv2019

A network of microRNAs acts to promote cell cycle exit and differentiation of human pancreatic endocrine cells

Pancreatic endocrine cell differentiation is orchestrated by transcription factors that operate in a gene regulatory network to activate endocrine lineage genes and repress lineage-inappropriate genes. MicroRNAs (miRNAs) are important modulators of gene expression, yet their role in endocrine cell differentiation has not been explored system-wide. Here we characterize miRNA-regulatory networks active in human endocrine cell differentiation by combining small RNA sequencing, miRNA overexpression experiments, and network modeling approaches. This analysis identifies Let-7g, Let-7a, miR-200a, and miR-375 as endocrine-enriched miRNAs with high impact on driving endocrine differentiation-associated gene expression changes. These miRNAs target different sets of transcription factors, which converge on a network of genes involved in cell cycle regulation. When expressed in human embryonic stem cell-derived pancreatic progenitors these miRNAs induce cell cycle exit and promote endocrine cell differentiation. Our study delineates the role of miRNAs in human endocrine cell differentiation and identifies miRNAs that could facilitate endocrine cell reprogramming.

developmental biology↗

bioRxiv2019

Extension of the in vivo haploid induction system from diploid maize to hexaploid wheat

Doubled haploid breeding technology has been one of the most important techniques for accelerating crop breeding. In compare to in vivo haploid induction in maize, which is efficient and background independent, wheat haploid production by interspecific hybridization pollinated with maize is influenced by genetic background and requires rescue of young embryos. Here, we analyzed the homologues of maize haploid induction gene MTL/ZmPLA1/NLD in several crop species systematically, the homologues are highly conserved in sorghum, millet and wheat etc. Since wheat is a very important polyploidy crop, as a proof of concept, we demonstrated that the in vivo haploid induction method could be extended from diploid maize to hexaploid wheat by knocking out the wheat homologues (TaPLAs). Result showed that double knock-out mutation could trigger wheat haploid induction at ~ 2%-3%, accompanied by 30% - 60% seed setting rate. The performance of haploid wheat individual showed shorter plant, narrower leaves and male sterile. Our results also revealed that knockout of TaPLA-A and TaPLA-D do not affect pollen viability. This study not only confirmed the function of the induction gene and explored a new approach for haploid production in wheat, but also provided an example that the in vivo haploid induction could be applied in more crop species with different ploidy levels. Furthermore, by combining with gene editing, it would be a fast and powerful platform for traits improvement in polyploidy crops breeding.

plant biology↗

bioRxiv2018

Interfacial actin protrusions mechanically potentiate killing by cytotoxic T cells

Cytotoxic T lymphocytes (CTLs) kill by forming immunological synapses with target cells and secreting toxic proteases and the pore forming protein perforin into the intercellular space. Immunological synapses are highly dynamic structures that potentiate perforin activity by applying mechanical force against the target cell. Here, we employed high-resolution imaging and microfabrication to investigate how CTLs exert synaptic forces and coordinate their mechanical output with perforin secretion. Using micropatterned stimulatory substrates that enable synapse growth in three dimensions, we found that perforin release occurs at the base of actin-rich protrusions that extend from central and intermediate locations within the synapse. These protrusions, which depended on the cytoskeletal regulator WASP and the Arp2/3 actin nucleation complex, were required for synaptic force exertion and efficient killing. They also mediated physical distortion of the target cell surface during CTL-target cell interactions. Our results reveal the mechanical basis of cellular cytotoxicity and highlight the functional importance of dynamic, three-dimensional architecture in immune cell-cell interfaces.\n\nOne sentence summaryCytotoxic T lymphocytes use F-actin-rich protrusions at the immunological synapse to potentiate perforin-and granzyme-mediated target cell killing.

immunology↗