Transcriptome of Paraquat-induced Pulmonary Fibrosis
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA720329 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR14163144.fastq.gz | Fastqsanger.gz | |||
| SRR14163145.fastq.gz | Fastqsanger.gz | |||
| SRR14163146.fastq.gz | Fastqsanger.gz | |||
| SRR14163147.fastq.gz | Fastqsanger.gz | |||
| SRR14163148.fastq.gz | Fastqsanger.gz |
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Project description:PURPOSE: Pulmonary fibrosis (PF) is a pathological state presenting at the progressive stage of heterogeneous interstitial lung disease (ILD). The molecular mechanisms are incompletely understood. We built a mouse model of lung fibrosis induced by paraquat. Using transcriptome analysis, we identified differentially expressed proteins (DEGs) and provided further functional analysis. METHODS: We built a mouse model of lung fibrosis through intratracheal instillation of paraquat. After instillation, mice were kept for 7 and 28 days, respectively. we performed time-series RNA sequencing (RNA-Seq) on the lung samples from paraquat treated mice and saline control. The DEGs were verified by qPCR. RESULTS: The transcriptome data found a total of 1345 of differentially expressed genes (DEGs) up-regulated and 844 DEGs down-regulated significantly in paraquat group on day 7. There were 511 DEGs up-regulated and 179 DEGs down-regulated remarkably on day 28 after PQ instillation (Fold Change ≥2 and Q value ≤0.001). We verified 6 significantly changed genes by qPCR, proving the accuracy of RNA-seq. CONCLUTION: Our transcriptomic study assigns genes for fibrogenesis and reveals their dynamic changes from lung injury to repair, providing new insights for the and development of biomarkers and treatment in fibrotic diseases.
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Project description:In this study, using the next generation transcriptome sequencing and microarray analysis, we profiled expression of long non-coding RNAs (lncRNAs) in a mouse model of paraquat-induced pulmonary fibrosis. We identified 513 up-regulated and 204 down-regulated lncRNAs (fold-change ≥5.0) when comparing fibrotic to normal lung tissues. Quantitative real-time PCR, Gene Ontology analysis, Pathway analysis and Bioinformatics analysis were performed for further research. Furthermore, we predicted and verified the target genes of two up-regulated lncRNAs, uc.77 and 2700086A05Rik, as Zeb2 and Hoxa3 respectively, both of which are important regulators of EMT.
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Project description:Pulmonary fibrosis (PF) is associated with many chronic lung diseases including Systemic sclerosis (SSc), Idiopathic Pulmonary Fibrosis (IPF) and Cystic Fibrosis (CF) which are characterized by the progressive accumulation of stromal cells and formation of scar tissue. Pulmonary fibrosis is a dysregulated response to alveolar injury which causes a progressive decline in lung function and refractory to current pharmacological therapies. Airway and alveolar epithelial cells and stromal cells contribute to pulmonary fibrosis but the cell-specific pathways and gene networks that are responsible for the pathophysiology are unknown. Recent animals models generated in our lab demonstrate clinical phenotypes seen in human fibrotic disease. The mouse model of transforming growth factor-? (TGF?)-induced fibrosis include conditionally expressing TGF? in the lung epithelium under control of the CCSP promoter driving rtTA expression (CCSP/TGF?). This allow the TGF? is only expressed in airway and alveolar epithelial cells and only when mice fed doxycycline (Dox). Similar to PF in humans, TGF? mice on Dox developed a progressive and extensive adventitial, interstitial and pleural fibrosis with a decline in lung mechanics. Thus, the TGF? transgenic mouse is a powerful model to determine lung cell-specific molecular signatures involved in pulmonary fibrosis. In this study, we sought to determine changes in the transcriptome during TGF?-induced pulmonary fibrosis. Our results showed that several pro-fibrotic genes increased in the lungs of TGF? mice. This study demonstrates that WT1 network gene changes associated with fibrosis and myfibroblast accumulation and thus may serve as a critical regulator fibrotic lung disease. mRNA profiles of CCSP/- and CCSP/TGFalpha mice treated with Dox
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Project description:Pulmonary fibrosis (PF) is associated with many chronic lung diseases including Systemic sclerosis (SSc), Idiopathic Pulmonary Fibrosis (IPF) and Cystic Fibrosis (CF) which are characterized by the progressive accumulation of stromal cells and formation of scar tissue. Pulmonary fibrosis is a dysregulated response to alveolar injury which causes a progressive decline in lung function and refractory to current pharmacological therapies. Airway and alveolar epithelial cells and stromal cells contribute to pulmonary fibrosis but the cell-specific pathways and gene networks that are responsible for the pathophysiology are unknown. Recent animals models generated in our lab demonstrate clinical phenotypes seen in human fibrotic disease. The mouse model of transforming growth factor-α (TGFα)-induced fibrosis include conditionally expressing TGFα in the lung epithelium under control of the CCSP promoter driving rtTA expression (CCSP/TGFα). This allow the TGFα is only expressed in airway and alveolar epithelial cells and only when mice fed doxycycline (Dox). Similar to PF in humans, TGFα mice on Dox developed a progressive and extensive adventitial, interstitial and pleural fibrosis with a decline in lung mechanics. Thus, the TGFα transgenic mouse is a powerful model to determine lung cell-specific molecular signatures involved in pulmonary fibrosis. In this study, we sought to determine changes in the transcriptome during TGFα-induced pulmonary fibrosis. Our results showed that several pro-fibrotic genes increased in the lungs of TGFα mice. This study demonstrates that WT1 network gene changes associated with fibrosis and myfibroblast accumulation and thus may serve as a critical regulator fibrotic lung disease.
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Project description:microRNAs (miRNAs) play a critical biological role in a variety of pathophysiological processes by suppressing their target genes. However, little is known on the miRNAs expression profiles of lung tissues in silica-induced pulmonary fibrosis. To investigate miRNAs of interest in regulation of pulmonary fibrosis, total RNA was isolated from mice lungs collected at day 0, day 3, day 7, day 14, day 28 and day 56 after silica exposure. Then, miRNA microarray was performed with one mouse lung at each time point. miRNA microarray was performed with one mouse lung at day 0, day 3, day 7, day 14, day 28 and day 56 after silica exposure to investigate the miRNAs expression profiles of lung tissues in silica-induced pulmonary fibrosis. Mouse lung tissues were selected at each time point after treatment for RNA extraction and hybridization on Affymetrix microarrays. We sought to obtain homogeneous populations of lungs at each fibrotic stage in order to increase the temporal resolution of expression profiles. To that end, we hand-selected lung tissues according to morphological criteria at five time-points: before silica exposure, i.e. day 0 (D0), the early inflammation phase day 3 (D3) and day 7 (D7), the late inflammation phase, day 14 (D14), the fibrosis phase,i.e. day 28 (D28) and day (D56).
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Project description:microRNAs (miRNAs) play a critical biological role in a variety of pathophysiological processes by suppressing their target genes. However, little is known on the miRNAs expression profiles of lung tissues in silica-induced pulmonary fibrosis. To investigate miRNAs of interest in regulation of pulmonary fibrosis, total RNA was isolated from mice lungs collected at day 0, day 3, day 7, day 14, day 28 and day 56 after silica exposure. Then, miRNA microarray was performed with one mouse lung at each time point. miRNA microarray was performed with one mouse lung at day 0, day 3, day 7, day 14, day 28 and day 56 after silica exposure to investigate the miRNAs expression profiles of lung tissues in silica-induced pulmonary fibrosis.
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