Dataset Information

Bacterial Shedu immune nucleases share a common enzymatic core regulated by diverse sensor domains.

ABSTRACT: Prokaryotes encode diverse anti-bacteriophage immune systems, including the single-protein Shedu nuclease. Here we reveal the structural basis for activation of Bacillus cereus Shedu. In the inactive homotetramer, a key catalytic residue in Shedu's nuclease domain is sequestered away from the catalytic site. Activation involves a conformational change that completes the active site and promotes assembly of a homo-octamer for coordinated double-strand DNA cleavage. Removal of Shedu's N-terminal domain ectopically activates the enzyme, suggesting that this domain allosterically inhibits Shedu in the absence of infection. Bioinformatic analysis of nearly 8,000 Shedu homologs reveals remarkable diversity in their N-terminal regulatory domains: we identify 79 domain families falling into eight functional classes, including diverse nucleic acid binding, enzymatic, and other domains. Together, these data reveal Shedu as a broad family of immune nucleases with a common nuclease core regulated by diverse N-terminal domains that likely respond to a range of infection-related signals.

SUBMITTER: Gu Y

PROVIDER: S-EPMC10441436 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Bacterial Shedu immune nucleases share a common enzymatic core regulated by diverse sensor domains.

Gu Yajie Y Li Huan H Deep Amar A Enustun Eray E Zhang Dapeng D Corbett Kevin D KD

bioRxiv : the preprint server for biology 20230810

Prokaryotes encode diverse anti-bacteriophage immune systems, including the single-protein Shedu nuclease. Here we reveal the structural basis for activation of <i>Bacillus cereus</i> Shedu. In the inactive homotetramer, a key catalytic residue in Shedu's nuclease domain is sequestered away from the catalytic site. Activation involves a conformational change that completes the active site and promotes assembly of a homo-octamer for coordinated double-strand DNA cleavage. Removal of Shedu's N-ter ...[more]

PMID: 37609250

Similar Datasets

Project description:MYC is an oncogene responsible for excessive cell growth in cancer, enabling transcriptional activation of genes involved in cell cycle regulation, metabolism, and apoptosis, and is usually overexpressed in gastric cancer (GC). By using siRNA and Next-Generation Sequencing (NGS), we identified MYC-regulated differentially expressed Genes (DEGs) in three Brazilian gastric cancer cell lines representing the histological subtypes of GC (diffuse, intestinal, and metastasis). The DEGs were picked using Sailfish software, followed by Gene Set Enrichment Analysis (GSEA) and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway analysis using KEGG. We found 11 significantly enriched gene sets by using enrichment score (ES), False Discovery Rate (FDR), and nominal P-values. We identified a total of 5.471 DEGs with correlation over (80%). In diffuse-type and in metastatic GC cell lines, MYC-silencing caused DEGs downregulation, while the intestinal-type GC cells presented overall DEGs upregulation after MYC siRNA depletion. We were able to detect 11 significant gene sets when comparing our samples to the hallmark collection of gene expression, enriched mostly for the following hallmarks: proliferation, pathway, signaling, metabolic, and DNA damage response. When we analyzed our DEGs considering KEGG metabolic pathways, we found 12 common branches covering a wide range of biological functions, and three of them were common to all three cell lines: ubiquitin-mediated proteolysis, ribosomes, and system and epithelial cell signaling in Helicobacter pylori infection. The GC cell lines used in this study share 14 MYC-regulated genes, but their gene expression profile is different for each histological subtype of GC. Our results present a computational analysis of MYC-related signatures in GC, and we present evidence that GC cell lines representing distinct histological subtypes of this disease have different MYC-regulated expression profiles but share a common core of altered genes. This is an important step towards the understanding of MYC's role in gastric carcinogenesis and an indication of probable new drug targets in stomach cancer.

Project description:RationaleDNA-based microbiological studies are moving beyond studying healthy human microbiota to investigate diverse infectious diseases, including chronic respiratory infections, such as those in the airways of people with cystic fibrosis (CF) and non-CF bronchiectasis. The species identified in the respiratory secretion microbiota from such patients can be classified into those that are common and abundant among similar subjects (core) versus those that are infrequent and rare (satellite). This categorization provides a vital foundation for investigating disease pathogenesis and improving therapy. However, whether the core microbiota of people with different respiratory diseases, which are traditionally associated with specific culturable pathogens, are unique or shared with other chronic infections of the lower airways is not well studied. Little is also known about how these chronic infection microbiota change from childhood to adulthood.ObjectivesWe sought to compare the core microbiota in respiratory specimens from children and adults with different chronic lung infections.MethodsWe used bacterial 16S rRNA gene pyrosequencing, phylogenetic analysis, and ecological statistical tools to compare the core microbiota in respiratory samples from three cohorts of symptomatic children with clinically distinct airway diseases (protracted bacterial bronchitis, bronchiectasis, CF), and from four healthy children. We then compared the core pediatric respiratory microbiota with those in samples from adults with bronchiectasis and CF.Measurements and main resultsAll three pediatric disease cohorts shared strikingly similar core respiratory microbiota that differed from adult CF and bronchiectasis microbiota. The most common species in pediatric disease cohort samples were also detected in those from healthy children. The adult CF and bronchiectasis microbiota also differed from each other, suggesting common early infection airway microbiota that diverge by adulthood. The shared core pediatric microbiota included both traditional pathogens and many species not routinely identified by standard culture.ConclusionsOur results indicate that these clinically distinct chronic airway infections share common early core microbiota, which are likely shaped by natural aspiration and impaired clearance of the same airway microbes, but that disease-specific characteristics select for divergent microbiota by adulthood. Longitudinal and interventional studies will be required to define the relationships between microbiota, treatments, and disease progression.

Dataset Information

Bacterial Shedu immune nucleases share a common enzymatic core regulated by diverse sensor domains.

Publications

Bacterial Shedu immune nucleases share a common enzymatic core regulated by diverse sensor domains.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets