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Coker, J.

Publications and source records attributed to Coker, J..

7 recordsLinked to original sources

Loss of the Ap4A hydrolase YqeK impairs stress adaptation and virulence gene expression in Staphylococcus aureus

The nucleotide diadenosine tetraphosphate (Ap4A) accumulates during stress across organisms and cell types and is widely hypothesized to be an alarmone or second messenger. While Gram-negative bacteria use ApaH-family hydrolases to degrade Ap4A and other dinucleoside tetraphosphates (Ap4Ns), Gram-positive bacteria, including Staphylococcus aureus, use YqeK. Inactivation of Ap4A hydrolases and corresponding Ap4A accumulation cause diverse phenotypic effects in both Gram-negative and Gram-positive bacteria, ranging from increased sensitivity to antimicrobials to reduced virulence. However, the physiological role of YqeK in S. aureus remains uncharacterized. Here, we constructed an isogenic yqeK mutant in S. aureus and showed that {Delta}yqeK was sensitive to nitrosative and organic acid stress. We used a luminescence-based assay to show that {Delta}yqeK had [~]1000-fold higher relative Ap4N levels than wild-type even during unstressed growth, and all phenotypes were restored by complementation. Transcriptomics revealed that {Delta}yqeK exhibited stress-specific dysregulation of translation, nucleotide metabolism, central metabolism, iron acquisition, and stress response genes. In contrast, {Delta}yqeK had few transcriptional differences relative to wild-type during unstressed growth despite the large Ap4N accumulation, suggesting that the effects of Ap4Ns are contingent on the cellular stress state. Unexpectedly, we also found that the entire agr quorum sensing operon and numerous additional virulence genes, including hemolytic toxins, had reduced expression in {Delta}yqeK, correlating with reduced hemolytic activity in the mutant even in the absence of stress. Our data reveal YqeK to be a critical metabolic determinant of S. aureus stress resistance and virulence and position this hydrolase as a promising candidate for anti-virulence drug development. ImportanceS. aureus is a leading cause of antibiotic-resistant bacterial infections worldwide and is resistant to many components of the host immune response. Here, we discovered that deletion of YqeK, an enzyme that degrades a stress-associated nucleotide signaling molecule called Ap4A, rendered S. aureus more susceptible to infection-relevant stress conditions but had little impact on normal growth. Ap4Ns accumulated in the yqeK mutant and caused major stress-specific changes in gene expression, including reduced expression of key virulence genes. This correlated with a reduction in the destruction of red blood cells, a measure of bacterial toxicity toward host cells. Our data suggest that YqeK represents a promising target for new drugs aimed at reducing the virulence of S. aureus.

microbiology↗

Platelets drive immune suppression and glioblastoma growth in a sex-dependent manner via PAR4 signaling

Sex differences in cancer outcome, including that of glioblastoma (GBM), are shaped by biological, hormonal, and immunological factors and impact disease progression, treatment responses, survival, and tumor microenvironment (TME) interactions. Platelets regulate the immune responses and tumor progression in many cancers, but it is not clear how they contribute to these sex-based differences by affecting the dynamics of the TME. Here, we show that GBM patients exhibit heightened platelet reactivity driven by PAR4 signaling. In murine GBM models, both pharmacological inhibition of PAR4 using BMS986120 and genetic deletion of PAR4 significantly prolong survival in females but not males. This survival advantage is estrogen dependent: it is preserved in chromosomal male-hormonal female mice within the four-core genotype model and is rescued in ovariectomized mice treated with estrogen. The survival benefit is TME specific and is mediated by platelet-driven enhancement of CD8 T cell infiltration into the tumor. Inhibition of platelet PAR4 signaling increases calcium signaling through an estrogen-dependent interaction between PAR4 and estrogen receptor {beta} (ER{beta})--a receptor interaction not previously described. PAR4-activated platelets within the TME suppress CD8 T cell function, and depletion of CD8 T cells abolishes both the tumor-induced platelet reactivity and the survival benefit conferred by PAR4 inhibition. These findings establish platelet-mediated PAR4 signaling as a critical driver of tumor progression and identify sex-specific immune responses as key to therapeutic efficacy.

cancer biology↗

A synthetic skin microbial community (SkinCom) enables reproducible investigations of the human skin microbiome

Existing models of the human skin have aided our understanding of skin health and disease. However, they currently lack a microbial component, despite microbes demonstrated connections to various skin diseases. Here we present a robust, standardized model of the skin bacterial community (SkinCom) to support complex in vitro and in vivo investigations. Our methods lead to an accurate, reproducible, and diverse community formation of aerobic and anaerobic bacteria. Subsequent testing of SkinCom on the dorsal skin of mice allowed for DNA and RNA recovery from both the applied SkinCom and from dorsal skin, highlighting its practicality for in vivo studies and -omics analyses. Furthermore, our results indicate that 65.6% of the responses to common cosmetic chemicals in vitro were recapitulated in a human trial. Therefore, SkinCom represents a valuable, standardized tool for investigating microbe-metabolite interactions and facilitates the experimental design of in vivo studies targeting host-microbe relationships.

microbiology↗

A reproducible and tunable synthetic soil microbial community provides new insights into microbial ecology

Microbial soil communities form commensal relationships with plants to promote the growth of both parties. Optimization of plant-microbe interactions to advance sustainable agriculture is an important field in agricultural research. However, investigation in this field is hindered by a lack of model microbial community systems and efficient approaches for building these communities. Two key challenges in developing standardized model communities are maintaining community diversity over time and storing/resuscitating these communities after cryopreservation, especially considering the different growth rates of organisms. Here, a model community of 17 soil microorganisms commonly found in the rhizosphere of diverse plant species, isolated from soil surrounding a single switchgrass plant, has been developed and optimized for use with fabricated ecosystem devices (EcoFABs). EcoFABs allow reproducible research in model plant systems, with precise control of environmental conditions and easy measurement of plant-microbe metrics. The model soil community grows reproducibly in vitro between replicates and experiments, with high community -diversity achieved through growth in low-nutrient media and adjustment of starting composition ratios for the growth of individual organisms. The community additionally grows in EcoFAB devices and regrows with a similar composition to unfrozen communities following cryopreservation with glycerol, allowing for dissemination of the model community. Our results demonstrate the generation of a stable microbial community that can be used with EcoFAB devices and shared between research groups for maximum reproducibility. ImportanceMicrobes associate with plants in distinct soil communities, to the benefit of both the soil microbes and the plant. Interactions between plants and these microbes can improve plant growth and health and are therefore a field of study in sustainable agricultural research. In this study, a model community of 17 soil bacteria has been developed to further reproducible study of plant-soil microbe interactions. Preservation of the microbial community has been optimized for dissemination to other research settings. Overall, this work will advance soil microbe research through optimization of a robust, reproducible model community.

microbiology↗

Microbiome signatures in a fast and slow progressing gastric cancer murine model and their contribution to gastric carcinogenesis

Gastric cancer is the third most common cancer in the world and Helicobacter spp. being one of the main factors responsible for development of cancer. Alongside Helicobacter the microbiota of the stomach mucosa may also play an important role in gastric cancer progression. Previously we had established that MyD88 deficient mice rapidly progressed to neoplasia when infected with H. felis. Thus, in order to assess the role of microbiota in gastric cancer progression we measured the changes in microbial diversity of the stomach in mice with different genotypic backgrounds (Wild type (WT), MyD88 deficient (MyD88-/-), mice deficient in the Toll/IL-1R (TIR) domain-containing adaptor-inducing interferon-{beta} (TRIF, Triflps2), and MyD88 and Trif deficient (MyD88-/- and Trif-/-)double knockout (DKO) mice), both in uninfected and Helicobacter infected mice and its correlation of these changes with gastric cancer progression. We observed that there was an overall reduction in microbial diversity post infection with H. felis across all genotypes. Campylobacterales were observed in all infected mice, with marked reduction in abundance at 3 and 6 months in MyD88-/- mice. This low abundance of H. pylori could facilitate dominance of other organisms of microbiome like Lactobacilliales. A sharp increase in Lactobacilliales in infected MyD88-/- and DKO mice at 3 and 6 months was observed as compared to Trif-/- and WT mice suggesting its possible role in gastric cancer progression. This was further reinforced upon comparison of Lactobacillus ratio with histological data suggesting that Lactobacillales is closely associated with Helicobacter infection and gastric cancer progression. Thus, this study firstly suggests that difference in genotypes could define the stomach microbiome and make it more susceptible to development of gastric cancer upon Helicobacter infections. Secondly the increase in Lactobacillales could contribute to faster development of gastric cancer and serve as a probable bio marker for fast progressing form of gastric cancer.

cancer biology↗

Identification, Mapping and Relative Quantitation of SARS-Cov2 Spike Glycopeptides by Mass-Retention Time Fingerprinting

We describe a novel analytical method for rapid and robust identification, mapping and relative quantitation of glycopeptides from SARS-CoV-2 Spike protein. The method may be executed using any LC-TOF mass spectrometer, requires no specialised knowledge of glycan analysis and makes use of the differential resolving power of reversed phase HPLC. While this separation technique resolves peptides with high efficiency, glycans are resolved poorly, if at all. Consequently, glycopeptides consisting of the same peptide bearing different glycan structures will all possess very similar retention times and co-elute. While this has previously been viewed as a disadvantage, we show that shared retention time can be used to map multiple glycan species to the same peptide and location. In combination with MSMS and pseudo MS3, we have constructed a detailed mass-retention time database for Spike. This database allows any ESI-TOF equipped lab to reliably identify and quantify spike glycans from a single overnight elastase protein digest in less than 90 minutes.

biochemistry↗

CompStor Novos: a low cost yet fast assembly-based variant calling for personal genomes

Application of assembly methods for personal genome analysis from next generation sequencing data has been limited by the requirement for an expensive supercomputer hardware or long computation times when using ordinary resources. We describe CompStor Novos, achieving supercomputer-class performance in de novo assembly computation time on standard server hardware, based on a tiered-memory implementation. Run on commercial off-the-shelf servers, Novos assembly is more precise and 10-20 times faster than that of existing assembly algorithms. Furthermore, we integrated Novos into a variant calling pipeline and demonstrate that both compute times and precision of calling point variants and indels compare well with standard alignment-based pipelines. Additionally, assembly eliminates bias in the estimation of allele frequency for indels and naturally enables discovery of breakpoints for structural variants with base pair resolution. Thus, Novos bridges the gap between alignment-based and assembly-based genome analyses. Extension and adaption of its underlying algorithm will help quickly and fully harvest information in sequencing reads for personal genome reconstruction.

genomics↗