ReBAM
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB85425 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR14230114_1.fastq.gz | Fastqsanger.gz | |||
| ERR14230114_2.fastq.gz | Fastqsanger.gz | |||
| ERR14230115_1.fastq.gz | Fastqsanger.gz | |||
| ERR14230115_2.fastq.gz | Fastqsanger.gz | |||
| ERR14230116_1.fastq.gz | Fastqsanger.gz |
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Project description:[1] Transcription profiling of one Burkholderia cenocepacia clinical isolate, J2315, versus a soil isolate, HI2424, in conditions mimicking CF sputum [2] Transcription profiling of Burkholderia cenocepacia isolates J2315 and HI2424 in media mimicking CF sputum or the soil environment
2009-12-01 | GSE15817 | GEO
Project description:We characterized the transcriptional responses of three S. maltophilia strains during exposure to synthetic CF sputum media (SCFM2) to gain insight into how this organism interacts with the host in the CF lung. These efforts led to the identification of 881 transcripts differentially expressed by all three strains, many of which reflect different metabolic pathways used by S. maltophilia in sputum, and altered stress responses. The latter correlated with increased resistance to peroxide exposure after pre-growth in SCFM2. We also compared the SCFM2 transcriptomes of two S. maltophilia CF isolates with the SCFM2 transcriptome of the acute infection model strain, S. maltophilia K279A, allowing us to identify CF isolate-specific signatures in differential gene expression that may be suggestive of adaptation to the CF lung. Each strain also possessed genes not shared by the other two and here we show that expression of some of the accessory genes in each strain are changed in response to SCFM2. Collectively, this work details the response of S. maltophilia to the CF lung environment, identifying potential survival strategies and metabolic pathways used by S. maltophilia during infections.
2019-01-30 | GSE125704 | GEO
Project description:Pseudomonas aeruginosa airway infection is the leading cause of morbidity and mortality in cystic fibrosis (CF) patients. In vitro models that closely mimic CF sputum are needed to improve understanding of the pathobiology of P. aeruginosa in the CF airway. We developed an artificial sputum medium (ASMDM) that more closely resembles the composition of CF sputum than current media. In order to validate the utility of ASMDM, we used GeneChip microarrays to compare expression data of P. aeruginosa UCBPP-PA14 (PA14) in ASMDM with published data for this strain grown under the same conditions in an artificial medium containing 10% (v/v) CF sputum. Thirty-seven of 39 nutrition-related genes were differentially expressed in the same manner in both media. However, 24 quorum-sensing (QS) genes, 23 Type III secretion system and several anaerobic respiration genes were more highly expressed in ASMDM than in sputum-containing medium. When grown to stationary phase in ASMDM, PA14 differentially expressed about 50 biologically significant genes compared to stationary phase growth in Luria Broth; genes involved in iron acquisition (pfeA, fepC) and in assimilatory nitrate reduction (nasC, nirD) were upregulated, while 24 QS genes, including the regulator rhlR, lasA, rsaL, aprADEI and phenazine genes phzC2DD2EG2 were downregulated. Downregulation of QS-regulated virulence genes has been noted in chronic P. aeruginosa infection. ASMDM thus appears highly suitable for studies on gene expression of (i) P. aeruginosa strains from acutely and chronically infected CF patients and (ii) established biofilms that are a hallmark of advanced CF lung disease.
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Project description:Cystic Fibrosis lung disease progresses by a combination of accelerated airways inflammation and bacterial colonization and infection. Airways inflammation in CF is predominantly neutrophilic and complicates airway clearance therapies through cellular debris, excessive DNA, excessive and viscous mucous, and high concentrations of neutrophils,Il-8 and related cytokines liberated along the NFkB signaling pathway. We conducted a single site, randomized, double blind, placebo-controlled, proof-of-concept trial in which we evaluated the effects of 28 days of two dose levels (0.05 mg and 0.10 mg daily) of an older cardiac glycoside, digitoxin, as compared with placebo, on inflammatory markers in induced sputum obtained from 24 subjects with mild to moderate CF lung disease. Nasal epithelial cells from 23 subjects were analyzed for microarray analysis. CF patients 18 to 45 years old, any genotype combination, were eligible. The primary objective was to measure the effects of digitoxin on IL-8 and neutrophil counts in induced sputum. Secondary objectives were to measure: 1) the pharmacokinetics of digitoxin in serum in stable CF patients, 2) safety indices, including ECG changes and sputum microbiology, in stable CF patients, 3) the effect of digitoxin on gene expression in nasal epithelial cells of stable CF patients and 4) quality of life scores using the CFQ-R©. As expected, it took several weeks to achieve a detectable serum level of digitoxin in CF. Digitoxin showed a trend towards reduction in sputum free neutrophil elastase and neutrophil counts, but was not associated with a reduction in sputum Il-8. Digitoxin did not dampen sputum inflammation as measured by primary and secondary outcome measures over the 28 day study period. However the patient groups receiving placebo and 50 micro gram digitoxin daily fell into similar patterns which were distinctly different from the patient group taking 100 micro gram digitoxin. The mRNAs encoding chemokine/cytokine or cell surface receptors in immune cells were decreased in nasal epithelial cells at the higher dose, leading to pathway mediated reductions in Il-8, Il-6, lung epithelial inflammation, neutrophil recruitment and mucus hypersecretion. It is possible that a longer treatment period would be necessary to detect a meaningful, dose- dependent change in sputum indices of inflammation in CF. Importantly, there were no safety issues over the course of the study
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Project description:[1] Transcription profiling of one Burkholderia cenocepacia clinical isolate, J2315, versus a soil isolate, HI2424, in conditions mimicking CF sputum [2] Transcription profiling of Burkholderia cenocepacia isolates J2315 and HI2424 in media mimicking CF sputum or the soil environment [1] J2315 vs. HI2424 cells in the same condition. [2] Two-condition experiment. Biological replicates: 4 replicates.
2010-05-19 | E-GEOD-15817 | biostudies-arrayexpress
Project description:To better understand the molecular determinants of lung disease variability among patients with cystic fibrosis (CF), we carried out an epigenome-wide association study (EWAS) in sputum samples from patients with CF. Sputum samples were collected from 50 patients with CF at four time points (visit 1, 2, 3 and 4) over an 18-month follow-up period. We profiled 64 sputum samples collected at visit 1 and 2, using human methylation BeadChips (EPIC). Selected CpG sites were reassessed in independent sputum samples collected at visit 3 and 4, by pyrosequencing. Overall, we provide the first longitudinal assessment of genome-wide DNA methylation in a cohort of patients with CF and identify CpG sites that predict clinical traits of key importance for lung disease. Specifically, we identified (i) differentially methylated CpG sites that correlate with lung function (FEV1pp), (ii) a DNA methylation signature that predicts patients with a pulmonary exacerbation and (iii) CpG sites that split patients with declining lung function from those whose lung function either improved or remained stable.
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Project description:Cystic fibrosis (CF) is an inherited, multi-system disease caused by dysfunction of the cystic fibrosis transmembrane conductance regulator (CFTR) protein, a ubiquitous ion channel important for epithelial hydration. A direct consequence of this dysfunction is impaired mucociliary clearance, chronic airway infection and a persistent neutrophilic inflammatory response that results in progressive loss of lung function, development of respiratory failure and premature death. Partial restoration of CFTR function is now possible for most CF patients through mutation specific CFTR modulators. Ivacaftor monotherapy produces significant clinical improvement in CF patients with the G511D mutation. Dual therapy, combining ivacaftor with lumacaftor or tezacaftor, results in modest clinical improvements in patients homozygous for F508del. More recently, triple therapy with elexacaftor/tezacaftor/ivacaftor (ETI) has led to dramatic improvements in lung function and quality of life in patients homozygous and heterozygous for F508del. Sputum proteomics is a powerful research technique capable of identifying important airway disease mechanisms by interrogating the proteome, an entire set of proteins within biological samples. It has confirmed the central role of neutrophilic immune dysregulation in CF and non-CF bronchiectasis, particularly involving the release of antimicrobial proteins and neutrophil-extracellular traps (NETs), and through impaired anti-inflammatory mechanisms. These processes produce distinct molecular signatures within the sputum proteome that become increasingly abnormal with chronic airway infection and progressive lung disease severity. In CF patients, airway and systemic inflammatory cytokines potentially related to these signatures reduce with the various forms of CFTR modulation. To date, no studies of ETI therapy in CF lung disease have assessed large-scale change in protein expression using untargeted proteomics. We hypothesised that ETI therapy would shift the sputum proteome toward health, potentially normalising airway biology in people with CF. The objectives of this study were to investigate changes in the CF sputum proteome with the introduction of ETI, correlate these with changes in clinical markers of disease severity, and make comparisons with the sputum proteome in healthy controls and in repeat samples from CF patients not suitable for ETI therapy. We also explored which molecular pathways associated with CF lung disease did not change with ETI.
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Project description:Pseudomonas aeruginosa airway infection is the leading cause of morbidity and mortality in cystic fibrosis (CF) patients. In vitro models that closely mimic CF sputum are needed to improve understanding of the pathobiology of P. aeruginosa in the CF airway. We developed an artificial sputum medium (ASMDM) that more closely resembles the composition of CF sputum than current media. In order to validate the utility of ASMDM, we used GeneChip microarrays to compare expression data of P. aeruginosa UCBPP-PA14 (PA14) in ASMDM with published data for this strain grown under the same conditions in an artificial medium containing 10% (v/v) CF sputum. Thirty-seven of 39 nutrition-related genes were differentially expressed in the same manner in both media. However, 24 quorum-sensing (QS) genes, 23 Type III secretion system and several anaerobic respiration genes were more highly expressed in ASMDM than in sputum-containing medium. When grown to stationary phase in ASMDM, PA14 differentially expressed about 50 biologically significant genes compared to stationary phase growth in Luria Broth; genes involved in iron acquisition (pfeA, fepC) and in assimilatory nitrate reduction (nasC, nirD) were upregulated, while 24 QS genes, including the regulator rhlR, lasA, rsaL, aprADEI and phenazine genes phzC2DD2EG2 were downregulated. Downregulation of QS-regulated virulence genes has been noted in chronic P. aeruginosa infection. ASMDM thus appears highly suitable for studies on gene expression of (i) P. aeruginosa strains from acutely and chronically infected CF patients and (ii) established biofilms that are a hallmark of advanced CF lung disease. PA14 was grown in four different ways: 1. Logarithmic growth for early gene expression Cells were grown in MOPS-Glucose and separately in ASMDM. The average of two biological duplicates in each case was compared to the other to determine differential gene expression. 2. Stationary phase growth for gene expression Cells were grown in Luria Broth and separately in ASMDM. The average of two biological duplicates in each case was compared to the other to determine differential gene expression.
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Project description:Co-fractionation mass spectrometry (CF-MS) is a technique with potential to characterise endogenous and unmanipulated protein complexes on an unprecedented scale. However this potential has been offset by a lack of guidelines for best-practice CF-MS data collection and analysis. To obtain such guidelines, this study exploits very high proteome coverage libraries of gold standard Saccharomyces cerevisiae complexes to thoroughly evaluate novel and published yeast CF-MS datasets. A new method for identifying gold standard complexes in CF-MS data, Reference Complex Profiling, and the Extending ‘Guilt-by-Association’ by Degree (EGAD) R package are used for these evaluations, which are reinforced with concurrent analyses of published human data. By evaluating data collection designs, which involve fractionation of cell lysates, it is found that near-maximum recall of complexes can be achieved with fewer samples than published studies. Distributing sample collection across orthogonal fractionation methods, rather than a single high resolution dataset, leads to particularly efficient recall. By evaluating 17 different similarity scoring metrics, which are central to CF-MS data analysis, it is found that two metrics rarely used in past CF-MS studies – Spearman and Kendall correlations – and the recently introduced Co-apex metric frequently maximise recall, while a popular metric – Euclidean distance – delivers poor recall. The common practice of integrating external genomic data into CF-MS data analysis is also evaluated, revealing that this practice may improve the precision and recall of known complexes but is generally unsuitable for predicting novel complexes in model organisms. If studying non-model organisms using orthologous genomic data, it is found that particular subsets of fractionation profiles (e.g. the lowest abundance quartile) should be excluded to minimise false discovery. Together these guidelines identify avenues for precise, sensitive and efficient CF-MS studies of known complexes, and effective predictions of novel complexes for orthogonal experimental validation.
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