Mixed microbial sample
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA515276 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8444807.fastq.gz | Fastqsanger.gz | |||
| SRR8444808.fastq.gz | Fastqsanger.gz | |||
| SRR8444809.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 3 of 3 |
Similar Datasets
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.
2021-11-03 | PXD025134 | Pride
Project description:Mixed Periodontal microbial comunities Raw sequence reads
| PRJNA427208 | ENA
Project description:baterial microbial sample Raw sequence reads
| PRJNA699392 | ENA
Project description:human intestinal microbial sample Raw sequence reads
| PRJNA680671 | ENA
Project description:One of the hallmarks of Pseudomonas aeruginosa cystic fibrosis (CF) infection is very high-cell-density (HCD) replication in the lung, allowing this bacterium to induce virulence controlled by HCD quorum-sensing systems. However, the nutrient sources sustaining HCD replication in this chronic infection is largely unknown. Hence, understanding the nutrient factors contributing to HCD in the CF lung will yield new insights into the 'metabolic pathogenicity' and potential treatment of CF infections caused by P. aeruginosa. Herein, we performed microarray studies of P. aeruginosa directly isolated from the CF lung to demonstrate its metabolic capability and virulence in vivo. Our in vivo microarray data, confirmed by real-time reverse-transcription-PCR, indicated P. aeruginosa expressed several genes for virulence, drug-resistance, and utilization of multiple nutrient sources (lung surfactant lipids and amino acids) contributing to HCD replication. The data also indicates deregulation of several pathways, suggesting in vivo evolution by deregulation of a large portion of the transcriptome during chronic CF infection. To our knowledge, this is the first in vivo transcriptome of P. aeruginosa in a natural CF infection, and it indicates several important aspects of pathogenesis, drug-resistance, and nutrient-utilization never before observed in vivo. Experiment Overall Design: The purpose of the experiment was to observe which genes are upregulated in P. aeruginosa during chronic CF lung infection as compared to PAO1. All in vitro studies were grown in 1x M9 minimal media supplemented with 20 mM citrate and grown to mid-log phase prior to RNA isolation. The in vivo RNA was isolated directly from CF sputum samples after TRIzol treatment. Each in vitro sample (both for PAO1 and the CF sputum pool isolate) were processed individually and in triplicate. Two in vivo isolations from sputum were conducted from the same patient but two different sputum samples. After isolation of total RNA, samples were processed for microarrays (i.e. cDNA synthesis, fragmentation, labeling, etc) as recommended by Affymetrix, and processed on the GeneChip as recommended by Affymetrix.
2008-06-15 | E-GEOD-7704 | biostudies-arrayexpress
Project description:Polyhydroxyalkanoates (PHAs) are bio-based, biodegradable polyesters that can be produced from organic-rich waste streams using mixed microbial cultures. To maximize PHA production, mixed microbial cultures may be enriched for PHA-producing bacteria with a high storage capacity through the imposition of cyclic, aerobic feast-famine conditions in a sequencing batch reactor (SBR). Though enrichment SBRs have been extensively investigated a bulk solutions-level, little evidence at the proteome level is available to describe the observed SBR behavior to guide future SBR optimization strategies. As such, the purpose of this investigation was to characterize proteome dynamics of a mixed microbial culture in an SBR operated under aerobic feast-famine conditions using fermented dairy manure as the feedstock for PHA production. At the beginning of the SBR cycle, excess PHA precursors were provided to the mixed microbial culture (i.e., feast), after which followed a long duration devoid of exogenous substrate (i.e., famine). Two-dimensional electrophoresis was used to separate protein mixtures during a complete SBR cycle, and proteins of interest were identified.
2017-01-31 | PXD003126 | Pride
Project description:growing pigs colon microbial sample Raw sequence reads
| PRJNA693413 | ENA