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Biology subjects

Chu, D.

Publications and source records attributed to Chu, D..

11 recordsLinked to original sources

Identification and Characterization of Novel Chikungunya Virus Polymerase Inhibitors

Chikungunya virus (CHIKV) and other alphaviruses in the Togaviridae family are positive-sense RNA viruses and major human pathogens, causing millions of infections worldwide. In humans, alphaviruses such as CHIKV, Mayaro and Ross River viruses typically cause arthritogenic disease characterized by debilitating arthralgia, joint inflammation, fever, and rash. Although a vaccine was recently approved for use against CHIKV, no vaccines are licensed against other alphaviruses. No antiviral treatments are available to prevent or treat infections by any alphavirus. To address this unmet need, we used a CHIKV nanoluciferase reporter virus to develop a high-throughput screening assay for novel small-molecule inhibitors. From this campaign, we identified several unique inhibitors of CHIKV replication. Mechanistic characterization of two inhibitors revealed that both target the nsP4 RNA-dependent RNA polymerase, while susceptibility profiling pinpointed unique nsP4 mutations that specifically confer resistance. In silico docking analyses indicated potential binding poses of the inhibitors near the polymerase active site. Collectively, these results define multiple chemotypes for further development and highlight novel molecular targets within nsP4 for CHIKV inhibition. IMPORTANCEChikungunya virus is a mosquito-borne pathogen that has caused millions of human infections worldwide, producing severe fever, rash, and long-lasting joint pain that can persist for months. Related viruses such as Mayaro and Ross River viruses also cause debilitating disease, yet no antiviral drugs are available to treat any infection caused by this family of viruses. In this study, we developed a high-throughput assay that allowed us to rapidly identify compounds capable of blocking chikungunya virus replication. We discovered new hit compounds that inhibit virus growth. In addition, we determined that two of the most promising hit candidates target the viral nsP4 polymerase. By identifying these novel inhibitors and characterizing both their mechanisms of action and resistance profiles, we have established the groundwork for future efforts to develop much needed therapies against chikungunya virus and related pathogens.

molecular biology↗

Collective biosynthesis of plant spirooxindole alkaloids through enzyme discovery and engineering

Collective synthesis is a well-established strategy to produce natural product collections from common intermediates. Extending this concept to enzymatic systems, collective biosynthesis offers a sustainable approach to diverse molecular collections but faces distinct challenges, including incomplete pathway knowledge and narrow substrate specificity of biosynthetic enzymes. Here, we overcome these limitations through enzyme discovery and protein engineering to achieve collective biosynthesis of spirooxindole alkaloids, an important class of natural products with diverse biological activities. We identified two key enzymes that catalyze enzymatic epimerization, working sequentially with a previously discovered cytochrome P450 enzyme to fully elucidate the biosynthetic pathway of pentacyclic spirooxindole alkaloids. Structure-guided engineering expanded substrate scope, enabling collective biosynthesis of 12 tetracyclic and pentacyclic spirooxindole natural products. We also generated new-to-nature fluorinated and deuterated derivatives through precursor-directed biosynthesis. This work provides crucial insights into plant spirooxindole alkaloid biosynthesis while establishing a powerful approach for sustainable production of complex natural products.

biochemistry↗

Intra-tumor microbiome-based tumor survival indices predict immune interaction and drug sensitivity on pan-cancer scale

Growing research evidence indicates a substantial influence of the intra-tumor microbiome on tumor outcome. However, there is currently no consistent criterion for identifying the association of microbes with tumor progression and response to treatment across various types of cancer. In this study, we concentrate on the intra-tumor microbiome and develop the Tumor Microbiome Survival Index (TMSI), a measure indicative of cancer patient survival risk. Our indices revealed notable distinctions between two stratified risk groups for each of the 10 cancer types and could precisely predict patients overall survival. For each type of cancer, our findings unveiled two distinct gene expression profiles and shed light on the varying patterns of immune and stromal cell enrichment between the two risk groups. Additionally, we noted that the high-TMSI group exhibited substantially elevated IC50 values for a number of drugs, indicating that individuals in the low-TMSI group might experience superior therapeutic effects from chemotherapy. These findings illuminate the complex dynamics between the tumor microbiome, the patients immune reaction, and medical outcomes, thus shedding light on microbiome-based personalized therapeutic interventions. HighlightsO_LIThe TMSI model generates a survival risk score based on the intra-tumor microbiome. C_LIO_LIThe TMSI model predicts survival rates accurately across multiple cancer types. C_LIO_LIMolecular-level analysis highlights distinct immune interactions with tumor microbes. C_LIO_LIHigh-TMSI groups showed altered drug sensitivity and implying potential differences in treatment response. C_LI

bioinformatics↗

Rapid riparian ecosystem recovery in low-latitudinal North China following the end-Permian mass extinction

The greatest mass extinction at the end of the Permian, ca. 252 million years ago, led to a tropical dead zone on land and sea. The speed of recovery of life has been debated, whether fast or slow, and terrestrial ecosystems are much less understood than marine. Here, we show fast reestablishment of riparian ecosystems in low-latitude North China as little as [~]2 million years after the end-Permian mass extinction. The initial ichnoassemblages in shallow lacustrine and fluvial facies of late Smithian age are monospecific, devoid of infaunalization, with apparent size reduction. In the following Spathian, relatively complex, multi-level, structured riverain ecosystems had been rebuilt including medium-sized carnivores, plant stems, root traces, increased ichnological complexity, and significantly increased infaunalization. Specifically, burrowing behavior had re-emerged as a key life strategy not only to minimize stressful climatic conditions, but possibly to escape predation.

paleontology↗

Deep Learning enables reliable and comprehensive profiling of invertible promoters in microbes

Invertible promoters (invertons) are regulatory elements found in bacteria, with inverted repeat sequences at both ends, leading to alternating changes in the expression of the regulated genes. Since invertons were present in more than 20% of bacterial genomes, while they regulated more than 5% of genes in these genomes, they are of pivotal importance for microbial functional dynamics especially when under stress. However, the prevalence of invertons, as well as the full spectrum of gene functions regulated by them, remain poorly understood. In this study, we developed DeepInverton, a deep learning model capable of accurately identifying novel inverton sequences without sequencing reads, which could profile inverton sequences from large genomic and metagenomic datasets. We conducted a pan-genomic and pan-metagenomic analysis of invertons on 68,969 bacterial genomes and 8,516 metagenome samples, resulting in a comprehensive overview of more than 200,000 nonredundant invertons and their regulated gene functional patterns. This result suggests that invertons, as a key player for bacterial adaptation to environmental stresses, are prevalent in bacterial genomes. Among the genomes analyzed, we observed a profound enrichment of invertons in pathogen such as Bordetella pertussis, and discovered a significant increase of inverton enrichment rates in strains associated with recent pertussis outbreaks, as well as novel evolving strains, unveiling a hidden link between the evolution of Bordetella pertussis and its inverton enrichment. We also utilized DeepInverton to explore inverton profiles mong human and marine metagenomes. Results revealed an unprecedented diversity of functional genes regulated by invertons, including antimicrobial resistance, biofilm formation and flagella, indicating their potential role in facilitating environmental adaptation. The in vitro experiments have confirmed the functions of tens of novel invertons that we have identified. Overall, we developed the DeepInverton model for exploration of invertons at unprecedented scale, which enabled our comprehensive profiling of invertons and their regulated genes. The comprehensive inverton profiles have deepen our understanding of invertons at pan-genome and metagenome scale, and could enabled a broad spectrum of inverton-related applications in microbial ecology and synthetic biology.

bioinformatics↗

Nematode histone H2A variant evolution reveals diverse histories of retention and loss, and evidence for conserved core-like variants

Histone variants are paralogs that replace canonical histones in nucleosomes, often imparting novel functions. Despite their importance, how histone variants arise and evolve is poorly understood. Reconstruction of histone protein evolution is challenging due to high amino acid conservation and large differences in evolutionary rates across gene lineages and sites. Here we combined amino acid sequences and intron position data from 108 nematode genomes to trace the evolutionary histories of the three H2A variants found in Caenorhabditis elegans: the ancient H2A.ZHTZ-1, the sperm-specific HTAS-1, and HIS-35, which differs from canonical H2A by a single glycine-to-alanine C-terminal change. We find disparate evolutionary histories. Although the H2A.ZHTZ-1 protein is highly conserved, its gene exhibits recurrent intron gain and loss. This pattern suggests that it is intron presence, rather than specific intron sequences or positions, that may be important to H2A.Z functionality. In contrast, for HTAS-1 and HIS-35, we find variant-specific intron positions that are conserved across species. HIS-35 arose in the ancestor of Caenorhabditis and its sister group, including the genus Diploscapter, while the sperm-specific variant HTAS-1 arose more recently in the ancestor of a subset of Caenorhabditis species. HIS-35 exhibits gene retention in some descendent lineages but also recurrent gene loss in others, suggesting that histone variant use or functionality is highly flexible in this case. We also find that the single amino acid differentiating HIS-35 from core H2A is ancestral and common across canonical Caenorhabditis H2A sequences and identify one nematode species that bear identical HIS-35 and canonical H2A proteins, findings that are not predicted from the hypothesis that HIS-35 has a distinct function. Instead, we speculate that HIS-35 enables H2A expression across the cell cycle or in distinct tissues; genes encoding such partially-redundant functions may be advantageous yet relatively replaceable over evolutionary times, consistent with the patchwork pattern of retention and loss of both genes. Our study shows the evolutionary trajectory for histone H2A variants with distinct functions and the utility of intron positions for reconstructing the evolutionary history of gene families, particularly those undergoing idiosyncratic sequence evolution.

molecular biology↗

Species-specific sensitivity to TGFβ signaling and changes to the Mmp13 promoter underlie avian jaw development and evolution

Developmental control of jaw length is critical for survival. The jaw skeleton arises from neural crest mesenchyme and previously we demonstrated that these progenitors upregulate bone-resorbing enzymes including Matrix metalloproteinase 13 (Mmp13) when generating short quail beaks versus long duck bills. Inhibiting bone resorption or Mmp13 increases jaw length. Here, we uncover mechanisms establishing species-specific levels of Mmp13 and bone resorption. Quail show greater activation of, and sensitivity to Transforming Growth Factor-Beta (TGF{beta}) signaling than duck; where mediators like SMADs and targets like Runx2, which bind Mmp13, become elevated. Inhibiting TGF{beta} signaling decreases bone resorption. We discover a SMAD binding element in the quail Mmp13 promoter not found in duck and single nucleotide polymorphisms (SNPs) near a RUNX2 binding element that affect expression. Switching the SNPs and SMAD site abolishes TGF{beta}-sensitivity in the quail Mmp13 promoter but makes duck responsive. Thus, differential regulation of TGF{beta} signaling and Mmp13 promoter structure underlie avian jaw development and evolution.

developmental biology↗

Stable integration of an optimized inducible promoter system enables spatiotemporal control of gene expression throughout avian development

Precisely altering gene expression is critical for understanding molecular processes of embryogenesis. Although some tools exist for transgene misexpression in developing chick embryos, we have refined and advanced them by simplifying and optimizing constructs for spatiotemporal control. To maintain expression over the entire course of embryonic development we use an enhanced piggyBac transposon system that efficiently integrates sequences into the host genome. We also incorporate a DNA targeting sequence to direct plasmid translocation into the nucleus and a D4Z4 insulator sequence to prevent epigenetic silencing. We designed these constructs to minimize their size and maximize cellular uptake, and to simplify usage by placing all of the integrating sequences on a single plasmid. Following electroporation of stage HH8.5 embryos, our tetracycline-inducible promoter construct produces robust transgene expression in the presence of doxycycline at any point during embryonic development in ovo or in culture. Moreover, expression levels can be modulated by titrating doxycycline concentrations and spatial control can be achieved using beads or gels. Thus, we have generated a novel, sensitive, tunable, and stable inducible-promoter system for high-resolution gene manipulation in vivo.View Full Text

developmental biology↗

A New Role for Telomerase in Promoting Meiotic Homolog Pairing Fidelity

We report a role for telomerase, beyond its known function of telomeric DNA end extension, in maintaining normal chromosome dynamics during meiosis in Saccharomyces cerevisiae. When telomerase at telomeres was reduced by various genetic means, increased frequencies of crossover and noncrossover recombination events occurred. To investigate the mechanism of this increased meiotic recombination, we examined the kinetics of meiosis events, and tracked the movement of chromosomes in live cells during meiotic prophase. Cytoskeletal forces acting on telomeres during meiosis have been shown to promote active chromosome motion needed to pair homologous chromosomes. Here we show that changes in telomerase interaction with telomeres using a tlc1-11 mutant result in altered meiotic motion. Specifically, reduction in telomerase at telomeres leads to a decreased frequency of high velocity chromosome pulls. In the tlc1-11 mutant, we see earlier synapsis and increased genome-wide recombination for the majority of the cells and lower gamete viability. Notably, homologous pairing is not delayed unlike other telomere binding mutants. Although synapsis initiates earlier, the overall timing of synapsis remains the same, except for a subset of cells that do not exit meiosis I. Together, these results suggest that the strong pulling component of the active chromosome motion promotes homolog pairing fidelity, likely by pulling apart improperly associated regions. Our combined observations are consistent with a model in which telomerase-mediated telomeric anchoring to the nuclear envelope helps engage and properly transmit cytoskeletal forces to chromosomes. Thus, telomerase contributes to efficient chromosome movements leading to normal gamete viability.

cell biology↗

Hidden patterns of codon usage bias across kingdoms

The genetic code is necessarily degenerate with 64 possible nucleotide triplets being translated into 20 amino acids. 18 out of the 20 amino acids are encoded by multiple synonymous codons. While synonymous codons are clearly equivalent in terms of the information they carry, it is now well established that they are used in a biased fashion. There is currently no consensus as to the origin of this bias. Drawing on ideas from stochastic thermodynamics we derive from first principles a mathematical model describing the statistics of codon usage bias. We show that the model accurately describes the distribution of codon usage bias of genomes in the fungal and bacterial kingdoms. Based on it, we derive a new computational measure of codon usage bias -- the distance [Formula] capturing two aspects of codon usage bias: (i) Differences in the genome-wide frequency of codons and (ii) apparent non-random distributions of codons across mRNAs. By means of large scale computational analysis of over 900 species across 2 kingdoms of life, we demonstrate that our measure provides novel biological insights. Specifically, we show that while codon usage bias is clearly based on heritable traits and closely related species show similar degrees of bias, there is considerable variation in the magnitude of [Formula] within taxonomic classes suggesting that the contribution of sequence-level selection to codon bias varies substantially within relatively confined taxonomic groups. Interestingly, commonly used model organisms are near the median for values of [Formula] for their taxonomic class, suggesting that they may not be good representative models for species with more extreme [Formula], which comprise organisms of medical an agricultural interest. We also demonstrate that amino acid specific patterns of codon usage are themselves quite variable between branches of the tree of life, and that some of this variability correlates with organismal tRNA content.

bioinformatics↗

Tissue Folding by Mechanical Compaction of the Mesenchyme

Many tissues fold during development into complex shapes. Engineering this process in vitro would represent an important advance for tissue engineering. We use embryonic tissue explants, finite element modeling, and 3D cell patterning techniques to show that a mechanical compaction of the ECM during mesenchymal condensation can drive tissue folding along programmed trajectories. The process requires cell contractility, generates strains at nearby tissue interfaces, and causes specific patterns of collagen alignment around and between condensates. Aligned collagen fibers support elevated tensions that promote the folding of interfaces along paths that can be predicted by finite element modeling. We demonstrate the robustness and versatility of this strategy for sculpting tissue interfaces by directing the morphogenesis of a variety of folded tissue forms from engineered patterns of mesenchymal condensates. These studies provide insight into the active mechanical properties of the embryonic mesenchyme and establish entirely new strategies for more robustly directing tissue morphogenesis ex vivo, without genetic engineering.

bioengineering↗