Pathophysiological features of disease in a large animal model of COPD
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ABSTRACT:
PROVIDER: PRJNA1013392 | ENA |
REPOSITORIES: ENA
Dataset's files
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| SRR25920700.fastq.gz | Fastqsanger.gz | |||
| SRR25920701.fastq.gz | Fastqsanger.gz | |||
| SRR25920702.fastq.gz | Fastqsanger.gz | |||
| SRR25920703.fastq.gz | Fastqsanger.gz | |||
| SRR25920704.fastq.gz | Fastqsanger.gz |
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Project description:Chronic obstructive pulmonary disease (COPD) is an inflammatory lung disease with complex pathological features and largely unknown etiologies. Identification and validation of biomarkers for this disease could facilitate earlier diagnosis, appreciation of disease subtypes and/or determination of response to therapeutic intervention. To identify gene expression markers for COPD, we performed genome-wide expression profiling of lung tissue from 56 subjects using the Affymetrix U133 Plus 2.0 array. Lung function measurements from these subjects ranged from normal, un-obstructed to severely obstructed. Analysis of differential expression between cases (FEV1<70%, FEV1/FVC<0.7) and controls (FEV1>80%, FEV1/FVC>0.7) identified a set of 65 probe sets representing discrete markers associated with COPD. Correlation of gene expression with quantitative measures of airflow obstruction (FEV1 or FEV1/FVC) identified a set of 220 probe sets. A total of 31 probe sets were identified that showed evidence of significant correlation with quantitative traits and differential expression between cases and controls. Keywords: Disease state marker
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