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Deng, Y.

Publications and source records attributed to Deng, Y..

At least 235 records · Page 13Linked to original sources
bioRxiv2021

Spatial Epigenome Sequencing at Tissue Scale and Cellular Level

Spatial biology is emerging as a new frontier of biomedical research in development and disease, but currently limited to transcriptome and a panel of proteins. Here we present spatial epigenome profiling for three histone modifications (H3K27me3, H3K4me3, H3K27ac) via next-generation sequencing by combining in-tissue CUT&Tag chemistry and microfluidic deterministic barcoding. Spatial chromatin states in mouse embryos or olfactory bulbs revealed tissue type-specific epigenetic regulations, in concordance with ENCODE reference data, but providing spatially resolved genome-wide profiles at tissue scale. Using fluorescence imaging to identify the tissue pixels (20m) each containing one nucleus allowed us to extract single-cell epigenomes in situ. Spatial chromatin state profiling in tissue may enable unprecedented opportunities to study epigenetic regulation, cell function and fate decision in normal physiology and pathogenesis.

genomics↗
bioRxiv2021

Coding Recognition of the Dose-Effect Interdependence of Small Biomolecules Encrypted on Paired Chromatographic-Based Microassay Arrays

The discovery of small biomolecules suffers from the lack of a comprehensive framework to express the intrinsic correlation between bioactivity and contributing small molecules in complex samples with molecular and bioactivity diversity. Here, by mapping a samples 2D-HPTLC fingerprint to microplates, the paired chromatographic-based microassay arrays are created, which can be used as quasi-chip to characterize multiple attributes of chromatographic components; and as the array differential expression of the bioactivity and molecular attributes of irregular chromatographic spots for dose-effect interdependent encoding; and also as the automatic-collimated array mosaics of the multi-attributes of each component itself encrypted by its chromatographic fingerprint. Based on this homologous framework, we propose a correlating recognition strategy for small-biomolecules through their self-consistent chromatographic behavior characteristics. In the approach, the small-biomolecule recognition in diverse compounds is transformed into a constraint satisfaction problem, which is addressed through examining the dose-effect interdependence of the homologous 2D code pairs by array matching algorithm, instead of preparing diverse compound monomers of complex test sample for identifying item-by-item. Furtherly, considering the dose-effect interdependent 2D code pairs as links and the digital-specific quasimolecular ions as nodes, an extendable self-consistent framework that correlates mammalian cell phenotypic and target-based bioassays with small biomolecules is established. Therefore, the small molecule contributions and the correlations of bioactivities, as well as their pathway can be comprehensively revealed, so as to improve the reliability and efficiency of screening. This strategy was successfully applied to galangal, and practiced the high-throughput digital preliminary screening of small-biomolecules in a natural product. HighlightRapid self-recognition of small biomolecules in diverse samples without pre-isolation Recognized by dose-effect interdependency developed from homologous TLC fingerprint Matching of HPTLC-based molecular imprinting and bioautography on microassay arrays Microarray-based differential expression of substance attributes instead of spot scan An array framework for combining phenotype-based and target-based assays with TLC-MS ToC graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=114 SRC="FIGDIR/small/434720v6_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@496c72org.highwire.dtl.DTLVardef@6ec60eorg.highwire.dtl.DTLVardef@8cdf1aorg.highwire.dtl.DTLVardef@8b440b_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗
bioRxiv2021

Neuroanatomical organization and functional roles of PVN MC4R pathways in physiological and behavioral regulations

ObjectiveThe paraventricular nucleus of hypothalamus (PVN) is an integrative center in the brain orchestrating a wide range of physiological and behavioral responses. While the PVN melanocortin 4 receptor (MC4R) signaling (PVNMC4R+) is undoubtedly involved in feeding regulation, the neuroanatomical organization of PVNMC4R+ pathway and its role in diverse physiological and behavioral regulations have not been fully understood. Here we aimed to better characterize the input-output organization of PVNMC4R+ neurons and further test their potential functional roles beyond feeding. MethodsUsing a combination of viral tools, we performed a comprehensive mapping of PVNMC4R+ circuits and tested the effects of chemogenetic activation of PVNMC4R+ neurons on thermogenesis, cardiovascular control and other behavioral regulations beyond feeding. ResultsWe found that PVNMC4R+ neurons broadly innervate many different brain regions known to be important not only for feeding but also for neuroendocrine and autonomic control of thermogenesis and cardiovascular function, including but not limited to preoptic area, median eminence, parabrachial nucleus, locus coeruleus, nucleus of solitary tract, ventrolateral medulla and thoracic spinal cord. Contrary to broad efferent projections, PVNMC4R+ neurons receive monosynaptic inputs from limited brain regions, including medial preoptic nucleus, arcuate and dorsomedial hypothalamic nuclei, and supraoptic nucleus. Consistent with broad efferent projections, chemogenetic activation of PVNMC4R+ neurons not only suppressed feeding but also led to an apparent increase in heart rate, blood pressure and brown adipose tissue thermogenesis. Strikingly, these physiological changes accompanied an unexpected repetitive bedding-removing behavior followed by hypoactivity and resting-like behavior. ConclusionsOur results clarify the neuroanatomical organization of PVNMC4R+ circuits and shed new light on the roles of PVNMC4R+ pathways in autonomic control of thermogenesis, cardiovascular function and other behavioral regulations.

neuroscience↗
bioRxiv2021

A theoretical approach to coupling the epithelial-mesenchymal transition (EMT) to extracellular matrix (ECM) stiffness via LOXL2

The epithelial-mesenchymal transition (EMT) plays a critical role in cancer progression, being responsible in many cases for the onset of the metastatic cascade and being integral in the ability of cells to resist drug treatment. Most studies of EMT focus on its induction via chemical signals such as TGF-{beta} or Notch ligands, but it has become increasingly clear that biomechanical features of the microenvironment such as ECM (extracellular matrix) stiffness can be equally important. Here, we introduce a coupled feedback loop connecting stiffness to the EMT transcription factor ZEB1, which acts via increasing the secretion of LOXL2 that leads to increased cross-linking of collagen fibers in the ECM. This increased cross-linking can effectively increase ECM stiffness and increase ZEB1 levels, thus setting a positive feedback loop between ZEB1 and ECM stiffness. To investigate the impact of this non-cell-autonomous effect, we introduce a computational approach capable of connecting LOXL2 concentration to increased stiffness and thereby to higher ZEB1 levels. Our results indicate that this positive feedback loop, once activated, can effectively lock the cells in a mesenchymal state.

cancer biology↗
bioRxiv2021

Novel bisubstrate inhibitors for protein N-terminal acetyltransferase D

Protein N-terminal acetyltransferase D (NatD, NAA40) that specifically acetylates the alpha-N-terminus of histone H4 and H2A has been implicated in various diseases, but no inhibitor has been reported for this important enzyme. Based on the acetyl transfer mechanism of NatD, we designed and prepared a series of highly potent NatD bisubstrate inhibitors by covalently linking coenzyme A to different peptide substrates via an acetyl or propionyl spacer. The most potent bisubstrate inhibitor displayed an apparent Ki value of 1.0 nM. Biochemical studies indicated that bisubstrate inhibitor is competitive to the peptide substrate and noncompetitive to the cofactor, suggesting NatD undergoes an ordered Bi-Bi mechanism. We also demonstrated that these inhibitors are highly specific towards NatD, displaying about 1,000-fold selectivity over other closely related acetyltransferases. High-resolution crystal structures of NatD bound to two of these inhibitors revealed the molecular basis for their selectivity and inhibition mechanism, providing a rational path for future inhibitor development.

biochemistry↗
bioRxiv2021

Adiponectin Preserves Metabolic Fitness During Aging

Adiponectin is essential for the regulation of tissue substrate utilization and systemic insulin sensitivity. Clinical studies have suggested a positive association of circulating adiponectin with healthspan and lifespan. However, the direct effects of adiponectin on promoting healthspan and lifespan remain unexplored. Here, we are using an adiponectin null mouse and a transgenic adiponectin overexpression model. We directly assessed the effects of circulating adiponectin on the aging process and found that adiponectin null mice display exacerbated age-related glucose and lipid metabolism disorders. Moreover, adiponectin null mice have a significantly shortened lifespan on both chow and high-fat diet (HFD). In contrast, a transgenic mouse model with elevated circulating adiponectin levels has a dramatically improved systemic insulin sensitivity, reduced age-related tissue inflammation and fibrosis, and a prolonged healthspan and median lifespan. These results support a role of adiponectin as an essential regulator for healthspan and lifespan.

cell biology↗
bioRxiv2020

Sequencing of clinical samples reveals that adaptation keeps establishing during H7N9 virus infection in humans

The H7 subtype avian influenza viruses (AIV) have a much longer history and their adaptation through evolution pose continuous threat to humans 1. Since 2013 March, the novel reasserted H7N9 subtype have transmitted to humans through their repeated assertion in the poultry market. Through repeated transmission, H7N9 gradually became the second AIV subtype posing greater public health risk after H5N1 2,3. After infection, how the virus tunes its genome to adapt and evolve in humans remains unknown. Through direct amplification of H7N9 and high throughput (HT) sequencing of full genomes from the swabs and lower respiratory tract samples collected from infected patients in Shenzhen, China, we have analyzed the in vivo H7N9 mutations at the level of whole genomes and have compared with the genomes derived by in vitro cultures. These comparisons and frequency analysis against the H7N9 genomes in the public database, 40 amino acids were identified that play potential roles in virus adaptation during H7N9 infection in humans. Various synonymous mutations were also identified that might be crucial to H7N9 adaptation in humans. The mechanism of these mutations occurred in a single infection are discussed in this study.

microbiology↗
bioRxiv2020

The distribution of waiting distances in ancestral recombination graphs and its applications

The ancestral recombination graph (ARG) contains the full genealogical information of the sample, and many population genetic inference problems can be solved using inferred or sampled ARGs. In particular, the waiting distance between tree changes along the genome can be used to make inference about the distribution and evolution of recombination rates. To this end, we here derive an analytic expression for the distribution of waiting distances between tree changes under the sequentially Markovian coalescent model and obtain an accurate approximation to the distribution of waiting distances for topology changes. We use these results to show that some of the recently proposed methods for inferring sequences of trees along the genome provide strongly biased distributions of waiting distances. In addition, we provide a correction to an undercounting problem facing all available ARG inference methods, thereby facilitating the use of ARG inference methods to estimate temporal changes in the recombination rate.

evolutionary biology↗
bioRxiv2020

Recombinant Fc-fusion vaccine of RBD induced protection against SARS-CoV-2 in non-human primate and mice

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) continues to infect people globally. The increased COVID-19 cases and no licensed vaccines highlight the need to develop safe and effective vaccines against SARS-CoV-2 infection. Multiple vaccines candidates are under pre-clinical or clinical trails with different strengths and weaknesses. Here we developed a pilot scale production of a recombinant subunit vaccine (RBD-Fc Vacc) with the Receptor Binding Domain of SARS-CoV-2 S protein fused with the Fc domain of human IgG1. RBD-Fc Vacc induced SARS-CoV-2 specific neutralizing antibodies in non-human primates and human ACE2 transgenic mice. The antibodies induced in macaca fascicularis neutralized three divergent SARS-CoV2 strains, suggesting a broader neutralizing ability. Three times immunizations protected Macaca fascicularis (20ug or 40ug per dose) and mice (10ug or 20ug per dose) from SARS-CoV-2 infection respectively. These data support clinical development of SARS-CoV-2 vaccines for humans. RBD-Fc Vacc is currently being assessed in randomized controlled phase 1/II human clinical trails. SummaryThis study confirms protective efficacy of a SARS-CoV-2 RBD-Fc subunit vaccine.

immunology↗
bioRxiv2020

Spatial transcriptome sequencing of FFPE tissues at the cellular level

Formalin-fixed paraffin-embedded (FFPE) tissues are the most abundant archivable specimens in clinical tissue banks, but unfortunately incompatible with single-cell level whole transcriptome sequencing due to RNA degradation in storage and RNA damage in extraction. We developed an in-tissue barcoding approach namely DBiT-seq for spatially revolved whole transcriptome sequencing at cellular level, which required no tissue dissociation or RNA exaction, thus potentially more suited for FFPE samples. Herein, we demonstrated spatial transcriptome sequencing of embryonic and adult mouse FFPE tissue sections at cellular level (25m pixel size) with high coverage (>1,000 genes per pixel). Spatial transcriptome of an E10.5 mouse embryo identified all major anatomical features in the brain and abdominal region. Integration with singlecell RNA-seq data for cell type identification indicated that most tissue pixels were dominated by single-cell transcriptional phenotype. Spatial mapping of adult mouse aorta, atrium, and ventricle tissues identified the spatial distribution of a variety of cell types. Spatial transcriptome sequencing of FFPE samples at cellular level may provide enormous opportunities in a wide range of biomedical research. It may allow us to exploit the huge resource of clinical tissue specimens to study human disease mechanisms and discover tissue biomarkers or therapeutic targets.

genomics↗
bioRxiv2020

A proof of concept for neutralizing antibody-guided vaccine design against SARS-CoV-2

Mutations and transient conformational movements of receptor binding domain (RBD) that make neutralizing epitopes momentarily unavailable, present immune escape routes to SARS-CoV-2. To mitigate viral escape, we developed a cocktail of neutralizing antibodies (NAbs) targeting epitopes located on different domains of spike (S) protein. Screening of a library of monoclonal antibodies generated from peripheral blood mononuclear cells of COVID-19 convalescent patients yielded potent NAbs, targeting N-terminal domain (NTD) and RBD domain of S, effective at nM concentrations. Remarkably, combination of RBD-targeting NAbs and NTD-binding NAb, FC05, dramatically enhanced the neutralization potency in cell-based assays and animal model. Results of competitive SPR assays and cryo-EM structures of Fabs bound to S unveil determinants of immunogenicity. Combinations of immunogens, identified in NTD and RBD of S, when immunized in rabbits elicited potent protective immune responses against SARS-CoV-2. These results provide a proof-of-concept for neutralization-based immunogen design targeting SARS-CoV-2 NTD and RBD. One sentence summaryImmunogens identified in the NTD and RBD of the SARS-CoV-2 spike protein using a cocktail of non-competing NAbs when injected in rabbits elicited a potent protective immune response against SARS-CoV-2.

microbiology↗
bioRxiv2020

Discovery of a Potent and Dual-Selective Bisubstrate Inhibitor for Protein Arginine Methyltransferase 4/5

Protein arginine methyltransferases (PRMTs) have been implicated in the progression of many diseases. Understanding substrate recognition and specificity of individual PRMT would facilitate the discovery of selective inhibitors towards future drug discovery. Herein, we reported the design and synthesis of bisubstrate analogues for PRMTs that incorporate a S-adenosylmethionine (SAM) analogue moiety and a tripeptide through an alkyl substituted guanidino group. Compound AH237 is a potent and selective inhibitor for PRMT4 and PRMT5 with a half-maximal inhibition concentration (IC50) of 2.8 nM and <1.5 nM, respectively. Computational studies provided a plausible explanation for the high potency and selectivity of AH237 for PRMT4/5 over other 40 methyltransferases. This proof-of-principle study outlines an applicable strategy to develop potent and selective bisubstrate inhibitors for PRMTs, providing valuable probes for future structural studies.

biochemistry↗
bioRxiv2020

Characterizing tissue composition through combined analysis of single-cell morphologies and transcriptional states

Advances in spatial transcriptomics technologies enable optical profiling of morphological and transcriptional modalities from the same cells within tissues. Here, we present multi-modal structured embedding (MUSE), an approach to deeply characterize tissue heterogeneity through analysis of combined image and transcriptional single-cell measurements. We demonstrate that MUSE can discover cellular subpopulations missed by either modality as well as compensate for modality-specific noise. MUSE identified biologically meaningful cellular subpopulations and stereotyped spatial patterning within heterogeneous mouse cortex brain tissues, profiled by seqFISH+ or STARmap technologies. MUSE provides a framework for combining multi-modal single-cell data to reveal deeper insights into the states, functions and organization of cells in complex biological tissues.

bioinformatics↗
bioRxiv2020

Murine GFP-Mx1 forms phase-separated nuclear condensates and associates with cytoplasmic intermediate filaments: novel antiviral activity against vesicular stomatitis virus

Type I and III interferons (IFNs) induce expression of the "myxovirus resistance proteins" MxA in human cells and its ortholog Mx1 in murine cells. Human MxA forms cytoplasmic structures, some tethered to intermediate filaments. In contrast, murine Mx1 mainly forms nuclear bodies. Both HuMxA and MuMx1 are antiviral towards influenza A virus (FLUAV) (an orthomyxovirus). However, it has long been considered that HuMxA, but not MuMx1, was antiviral towards vesicular stomatitis virus (VSV) (a rhabdovirus). We previously reported that the cytoplasmic human GFP-MxA structures in Huh7 hepatoma cells were phase-separated membraneless organelles (MLOs) ("biomolecular condensates"). In the present study we investigated whether nuclear murine Mx1 structures might also represent phase-separated biomolecular condensates. The transient expression of murine GFP-Mx1 in Huh7 hepatoma and Mich-2H6 melanoma cells led to the appearance of Mx1 nuclear bodies. These GFP-MuMx1 nuclear bodies were rapidly disassembled by exposing cells to 1, 6-hexanediol (5% w/v), or to hypotonic buffer (40-50 mosM), consistent with properties of membraneless phase-separated condensates. FRAP assays revealed that the GFP-MuMx1 nuclear bodies upon photobleaching showed a slow partial recovery (mobile fraction: [~]18%) suggestive of a gel-like consistency. Surprisingly, expression of GFP-MuMx1 in Huh7 cells also led to the appearance of MuMx1 in a novel cytoplasmic giantin-based intermediate filament meshwork and in cytoplasmic structures in 20-30% of transiently transfected Huh7 cells. Remarkably, Huh7 cells with cytoplasmic murine GFP-MuMx1 filaments, but not those with only nuclear bodies, showed antiviral activity towards VSV. Thus, murine GFP-Mx1 nuclear bodies comprised phase-separated condensates. Unexpectedly, GFP-MuMx1 associated with cytoplasmic giantin-based intermediate filaments in a subset of Huh7 cells, and, such cells showed antiviral activity towards VSV.

cell biology↗
bioRxiv2020

Development of a growth coupled dynamic regulation network balancing malonyl-CoA node to enhance (2S)-naringenin synthesis in E. coli

Generally, high- and low-performance nongenetic variants and young and aged cells co-existed in culture at all growth phases. In this regard, individually and dynamically regulating the metabolic flux of single cells based on their cellular state is highly useful for improving the performance of populations. However, balancing the trade-offs between biomass formation and compound over-production requires sophisticated dynamic regulation networks (DRNs) which can be challenging. Here, we developed a growth coupled NCOMB (Naringenin-Coumaric acid-Malonyl-CoA-Balanced) DRN with systematic optimization of (2S)-naringenin and p-coumaric acid-responsive regulation pathways for real-time control of intracellular supply of malonyl-CoA. In doing so, the acyl carrier protein was used as a new critical node for fine-tuning malonyl-CoA consumption instead of fatty acid synthase. Following directed evolution of the NCOMB DRN, we obtained a strain with cumulative 8.4-fold improvement in (2S)-naringenin production with balanced cell growth, demonstrating the high efficiency of this system for improving pathway production.

synthetic biology↗
bioRxiv2020

Hydrophobicity drives receptor-mediated uptake of heat-processed proteins by THP-1 macrophages and dendritic cells, but not cytokine responses

Impact of processing on immunogenicity of food proteins has clearly been demonstrated, but the underlying mechanisms are still unclear. In our previous study, the uptake of the cow’s milk protein β-lactoglobulin (BLG) by THP-1 macrophages varied after applying different processing methods and was positively correlated with hydrophobicity and aggregation. Here we applied the same 3 processing methods: wet heating (60 °C) and low- or high-temperature (50 °C or 130 °C, respectively) dry heating in absence or presence of reducing sugars (i.e. glucose, lactose or galacto-oligosaccharide) to lysozyme and thyroglobulin, which have different pI or molecular weight compared to BLG, respectively. Uptake of the soluble fraction was tested in two types of, genetically homogeneous, antigen-presenting cells (macrophages and dendritic cells derived from THP-1 monocytes). This revealed a strong correlation between the uptake of the different protein samples by macrophages and dendritic cells, and confirmed the key role of hydrophobicity, over aggregation, in determining the uptake. Several uptake routes were shown to contribute to the uptake of BLG by macrophages. However, cytokine responses following exposure of macrophages to BLG samples were not related to the levels of uptake. Heat-treatment-mediated increases in uptake did thus not induce a response in our read-out systems. Together, our results demonstrate that heat-treatment-induced increased hydrophobicity is the prime driving factor in uptake, but not in cytokine production, by THP-1 macrophages.View Full Text

immunology↗
bioRxiv2020

Machine learning-based promoter strength prediction derived from a fine-tuned synthetic promoter library in Escherichia coli

Promoters are one of the most critical regulatory elements controlling metabolic pathways. However, in recent years, researchers have simply perfected promoter strength, but ignored the relationship between the internal sequences and promoter strength. In this context, we constructed and characterized a mutant promoter library of Ptrc through dozens of mutation-construction-screening-characterization engineering cycles. After excluding invalid mutation sites, we established a synthetic promoter library, which consisted of 3665 different variants, displaying an intensity range of more than two orders of magnitude. The strongest variant was 1.52-fold stronger than a 1 mM isopropyl-{beta}-D-thiogalactoside driven PT7 promoter. Our synthetic promoter library exhibited superior applicability when expressing different reporters, in both plasmids and the genome. Different machine learning models were built and optimized to explore relationships between the promoter sequences and transcriptional strength. Finally, our XgBoost model exhibited optimal performance, and we utilized this approach to precisely predict the strength of artificially designed promoter sequences. Our work provides a powerful platform that enables the predictable tuning of promoters to achieve the optimal transcriptional strength.

synthetic biology↗