Ontology highlight
ABSTRACT:
PROVIDER: PRJNA759427 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR15691276_1.fastq.gz | Fastqsanger.gz | |||
| SRR15691276_2.fastq.gz | Fastqsanger.gz |
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Project description:Hallmarks of cystic fibrosis (CF) are increased viscosity of mucus and impaired mucociliary clearance within the airways due to mutations of the cystic fibrosis conductance regulator gene. This paves the way for the colonization by microbial pathogens and the concomitant establishment of chronic infections leading to lung tissue damage, reduced lung function, and to decreased life expectancy. Although microbial infections play a key role during disease progression, only a few studies investigated the pathophysiology of the microbial community in vivo so far. Moreover, no CF study so far applied metaproteomics, a powerful approach to unravel molecular mechanisms of microbial infection, mainly reasoned due to (I) the challenging processability of inhomogeneous, viscous, slimy sputum, and (II) the high number of human proteins masking comparably low abundant microbial proteins. Consequently, we developed a reliable, reproducible and widely applicable protocol for sputum processing, microbial enrichment, and subsequent metaproteomics analyses with a focus on microbial pathogens overcoming the aforementioned challenges. Metaproteomics data were complemented and validated by 16S sequencing, metabolomic as well as microscopic analyses. In total, we processed 21 CF sputum samples and selected three for detailed metaproteome analysis. The number of bacterial proteins/protein groups increased from 199-425 to 392-868. Moreover, our data suggest that the arginine deiminase pathway and multiple proteases and peptidases identified from various bacterial genera are so far underappreciated in their contribution to the CF pathophysiology. By providing a standardized and effective protocol for sputum processing and microbial enrichment, our study represents an important basis for future studies investigating the physiology of microbial pathogens in CF in vivo – an important prerequisite for the development of novel antimicrobial therapies against mucoviscidosis.
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Project description:Studies of microbial composition of sputum from human
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Project description:Sputum cells collected before (visit 2) and after (visit 4) allergen challenge in asthma patients were isolated and RNA purified for analysis on gene expression arrays. Human subject recruitment part of NIH sponsored protocol as part of the Eosinophil Program Project Grant (PI: Dr. Nizar Jarjour) Sputum cell RNA collected from induced sputum cells before and 48 hours after whole-lung allergen challenge.
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Project description:In addition to analyzing whole-genome methylation, we concomitantly evaluated sputum cell gene expression in the context of chronic inflammatory lung disease. Nucleic acids were purified from sputum samples of subjects with Asthma, COPD as well as healthy controls. Gene expression was analyzed on the Agilent Human GE 4x44k v2 platform.
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Project description:Several microRNAs (miRs) have been described as potential biomarkers in liquid biopsies and in the context of allergic asthma, while therapeutic effects on the airway expression of miRs remain elusive. In this study, we investigated epigenetic miR-associated mechanisms in the sputum of grass pollen allergic patients with and without allergen specific immunotherapy (AIT). Induced sputum samples of healthy controls (HC), AIT treated and untreated grass pollen allergic rhinitis patients with (AA) and without asthma (AR) were profiled using miR microarray and transcriptome microarray analysis of the same samples. miR targets were predicted in silico and used to identify inverse regulation. Local PGE2 levels were measured using ELISA. Two Hundred and fifty nine miRs were upregulated in the sputum of AA patients compared with HC, while only one was downregulated. The inverse picture was observed in induced sputum of AIT-treated patients: while 21 miRs were downregulated, only 4 miRs were upregulated in asthmatics upon AIT. Of these 4 miRs, miR3935 stood out, as its predicted target PTGER3, the prostaglandin EP3 receptor, was downregulated in treated AA patients compared with untreated. The levels of its ligand PGE2 in the sputum supernatants of these samples were increased in allergic patients, especially asthmatics, and downregulated after AIT. Finally, local PGE2 levels correlated with ILC2 frequencies, secreted sputum IL13 levels, inflammatory cell load, sputum eosinophils and symptom burden.While profiling the sputum of allergic patients for novel miR expression patterns, we uncovered an association between miR3935 and its predicted target gene, the prostaglandin E3 receptor, which might mediate AIT effects through suppression of the PGE2-PTGER3 axis.
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