Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Characterizing gene expression in lung tissue of COPD subjects using RNA-seq

ABSTRACT: We analyzed gene expression profiling of lung tissue to define molecular pathway of COPD using recent RNA sequencing technology.Lung tissue was obtained from 98 COPD subjects and 91 subjects with normal spirometry. RNA isolated from these samples was processed with RNA-seq using HiSeq 2000. Gene expression measurements were calculated using Cufflinks software. Differentially expressed genes and isoforms were chosen using t-test. Some of differentially expressed genes were validated by quantitative real-time PCR. Examination of lung tissue in COPD patients versus normal control

ORGANISM(S): Homo sapiens

SUBMITTER: JaeHyun Lim

PROVIDER: E-GEOD-57148 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Comprehensive Analysis of Transcriptome Sequencing Data in the Lung Tissues of COPD Subjects.

Kim Woo Jin WJ Lim Jae Hyun JH Lee Jae Seung JS Lee Sang-Do SD Kim Ju Han JH Oh Yeon-Mok YM

International journal of genomics 20150305

Background and Objectives. Chronic obstructive pulmonary disease (COPD) is a complex disease characterized by airflow limitation. Although airway inflammation and oxidative stress are known to be important in the pathogenesis of COPD, the mechanism underlying airflow obstruction is not fully understood. Gene expression profiling of lung tissue was performed to define the molecular pathways that are dysregulated in COPD. Methods. RNA was isolated from lung tissues obtained from 98 subjects with C ...[more]

PMID: 25834810

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Project description:Purpose: By integrating DNA methylation and gene expression of COPD lung tissues, we identified EPAS1 as a key regulator whose downstream genes significantly overlapped with multiple genes sets associated with COPD disease severity. EPAS1 is distinct in comparison with other key regulators in terms of methylation profiles and downstream target genes. Genes predicted to be regulated by EPAS1 were enriched for biological processes including signaling, cell communications, and system developement. As EPAS1 downstream genes were significantly enriched for hypoxia responsive genes in endothelial cells, we tested EPAS1 function in human and mouse endothelial cells HUVEC and C166. EPAS1 knockdown by siRNA in endothelial cells impacted genes that significantly overlapped with EPAS1 downstream genes in lung tissue including hypoxia responsive genes. Methods: The cell lines of HUVEC (Lonza, MD, USA) and C166 (American Type Culture Collection, VA, USA) were cultured in the appropriate media at 37M-BM-0C with 5% CO2. The cells were transfected with EPAS1 siRNA and non-targeting negative control siRNA (Life Technologies, CA, USA) using Lipofectamine RNAiMAX as recommended transfection protocols by the manufacturer. After the treatments with 5nM SilencerM-BM-. Select siRNA (s4700 for EPAS1, s65525 for Epas1; Life Technologies, USA) for 48 hours, the total RNA was purified with RNeasy Mini Kit (QIAGEN, Germany). The efficiencies of knocked down the EPAS1 expression were assessed by qPCR with 1.4% for HUVEC, 3.2% for C166. Approximately 250 ng of total RNA per sample were used for library construction by the TruSeq RNA Sample Prep Kit (Illumina) and sequenced using the Illumina HiSeq 2500 instrument with 100nt single read setting according to the manufacturer's instructions. Sequence reads were aligned to human genome assembly hg19 and mouse genome assembly mm10, respectively, using Tophat [96]. Total 23,228 human and 22,609 mouse genes were quantified using Cufflinks [96]. siRNA signatures were derived by comparing expression profiles of EPAS1 or Epas1 siRNAs with non-targeting siRNAs at paired t-test p-value cutoff 0.05 with resulting signature sizes of 2,796 and 3,730, and corresponding q-values [97] 0.11 and 0.07 for HUVEC and C166, respectively. Results: When comparing endothelial cells treated with EPAS1 siRNAs and scrambled siRNAs, we identified an EPAS1 siRNA signature consisting of 2796 and 3730 genes in human and mouse endothelial cell lines, respectively, whose expression levels significantly changed (t-test p-value<0.05), including EPAS1 itself (p-value = 0.002 and 0.02) and the EPAS1 downstream target gene VEGFA (p-value = 0.03 and 0.01). The EPAS1 siRNA signatures derived from human and mouse cell lines were highly consistent, with 695 genes in common to both signatures (p-value = 7.2x10-65). Both signatures not only significantly overlapped with EPAS1 downstream genes (p-value = 7.3x10-7 and 1.5x10-12), but also with hypoxia response genes in endothelial cells (FisherM-bM-^@M-^Ys Exact Test p-value = 5.8x10-8 and 1.2x10-12 in the human and mouse signatures, respectively). Moreover, the EPAS1 siRNA signatures consistently overlapped genes associated with the COPD severity phenotypes. These results together validate that EPAS1 causally regulates the downstream target genes we predicted, and that these genes in turn affect COPD development and progression. For each of human and mouse cell lines, 3 siRNA control cells, and 3 siRNA EPAS1 knockdown cells were used and analyzed. To identify EPAS1 signatures, paired t-test was performed between control siRNA and EPAS1 siRNA samples.

Dataset Information

Characterizing gene expression in lung tissue of COPD subjects using RNA-seq

Publications

Comprehensive Analysis of Transcriptome Sequencing Data in the Lung Tissues of COPD Subjects.

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