Corynebacterium
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA854648 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR26148668_1.fastq.gz | Fastqsanger.gz | |||
| SRR26148668_2.fastq.gz | Fastqsanger.gz | |||
| SRR26148669_1.fastq.gz | Fastqsanger.gz | |||
| SRR26148669_2.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 21 |
Similar Datasets
Project description:Corynebacterium tuberculostearicum Genome sequencing and assembly
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Project description:Corynebacterium tuberculostearicum DSM 44922 genome sequencing
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Project description:Corynebacterium tuberculostearicum DSM 44922 Genome sequencing and assembly
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Project description:Persistent mucosal inflammation and microbial infection are characteristic of Chronic Rhinosinusitis (CRS). Though mucosal microbiota dysbiosis is a characteristic feature of other chronic inflammatory diseases, the relationship between sinus microbiota composition and CRS is unknown. Here we demonstrate, using comparative microbiome profiling of a cohort of CRS patients and healthy subjects, that the sinus microbiota of CRS patients exhibit significantly reduced bacterial diversity. Characteristic of this community collapse is the depletion of multiple, phylogenetically distinct, Lactic Acid Bacteria and the concomitant increase in relative abundance of a single species, Corynebacterium tuberculostearicum. Recapitulating the conditions observed in our human cohort in a murine model confirmed the pathogenic potential of C. tuberculostearicum and the critical necessity for a replete mucosal microbiota to protect against this species. Moreover, we provide evidence that Lactobacillus sakei, identified from our comparative microbiome analyses as a potentially protective species, affords defense against C. tuberculostearicum sinus infection, even in the context of a depleted sinus bacterial community. These studies demonstrate that sinus mucosal health is highly dependent on the composition of the resident microbiota, and identifies a new sino-pathogen and a strong bacterial candidate for therapeutic intervention.
2012-08-01 | GSE37850 | GEO
Project description:Corynebacterium tuberculostearicum strain:CIP 102622 Genome sequencing and assembly
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Project description:Persistent mucosal inflammation and microbial infection are characteristic of Chronic Rhinosinusitis (CRS). Though mucosal microbiota dysbiosis is a characteristic feature of other chronic inflammatory diseases, the relationship between sinus microbiota composition and CRS is unknown. Here we demonstrate, using comparative microbiome profiling of a cohort of CRS patients and healthy subjects, that the sinus microbiota of CRS patients exhibit significantly reduced bacterial diversity. Characteristic of this community collapse is the depletion of multiple, phylogenetically distinct, Lactic Acid Bacteria and the concomitant increase in relative abundance of a single species, Corynebacterium tuberculostearicum. Recapitulating the conditions observed in our human cohort in a murine model confirmed the pathogenic potential of C. tuberculostearicum and the critical necessity for a replete mucosal microbiota to protect against this species. Moreover, we provide evidence that Lactobacillus sakei, identified from our comparative microbiome analyses as a potentially protective species, affords defense against C. tuberculostearicum sinus infection, even in the context of a depleted sinus bacterial community. These studies demonstrate that sinus mucosal health is highly dependent on the composition of the resident microbiota, and identifies a new sino-pathogen and a strong bacterial candidate for therapeutic intervention. A total of 14 samples were profiled for microbiome composition: 7 from non-sinusitis patients, and 7 from patients with clinically diagnosed chronic sinusitis.
2012-07-31 | E-GEOD-37850 | biostudies-arrayexpress
Project description:This genome-scale metabolic model (GEM) of Corynebacterium tuberculostearicum strain DSM 44922 (Taxon ID 38304) was initially built with CarveMe version 1.5.1 based on the genome assembly with NCBI accession GCF_013408445.1 and then underwent a series of careful semi-automatic and manual curation. It is the first model curated using the Python tool MCC for mass and charge curation.
2025-12-02 | MODEL2407310001 | BioModels
Project description:Whole genome sequencing of Corynebacterium species
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Project description:Genome sequencing and assembly of nasal Corynebacterium species
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Project description:Contact of Corynebacterium diphtheriae with macrophages induce adaptations on both bacterial and cellular sides. Using an experimental design involving gentamicin protection and liquid chromagraphy followed by mass-spectrometry, a multi-species proteomic dataset was analyzed at different time points of the infection assay. Several previously undescribed Corynebacterium proteins were differentially regulated, as well as key macrophage components of the phagolysosome. Overall, Bacteria responded to phagocytosis by changes in DNA repair, transcription and cell wall synthesis proteins, while macrophages showed changes in components of the innate immune system.
This dataset consists of:
- ThermoFisher's .raw files of three biological replicates of the infection assays (total proteome mixture of bacteria and eukaryotic cells and tagged using TMT-10). They can be downloaded all at once via the .zip file.
- Protein abundance data for Macrophage THP-1 cells (M0) obtained by LC-MS/MS followed by peptide sequencing using Proteome Discoverer (ThermoFisher) -see .zip folder.
- Protein abundance data for Macrophage C. diphtheriae ISS3319 (CD) obtained by LC-MS/MS followed by peptide sequencing using Proteome Discoverer (ThermoFisher) - see .zip folder.
- Differential protein abundance analysis for CD and M0 using LIMMA.
- Data underlying the growth curves observed in CD in RPMI + 10% FBS conditions (infection assay conditions).
- BLASTP searches, PFAM clans, and InterPro annotations for CD.
- STRING-based PPI network (baseline) and APSPs between differentially abundant proteins in CD.
- Related R scripts.
2025-03-13 | MSV000097308 | MassIVE