PLX189983

GSE120080: Next Generation Sequencing Facilitates Quantitative Analysis of Ventilator-Induced Lung Injury Animal Model and Control Lung Transcriptomes

  • Organsim mouse
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

Purpose: Long non-coding RNAs (lncRNAs) have been implicated in the inflammatory response of many diseases; however, their roles in Ventilator-Induced Lung Injury remain unclear. We therefore performed transcriptome profiling of lncRNA and mRNA using RNA-sequencing in lungs collected from mice model of Ventilator-Induced Lung Injury and control groups.; Methods: Gene expression was analyzed through RNA sequencing and quantitative RT-PCR. A comprehensive bioinformatics analysis was used to characterize the expression profiles and relevant biological functions and for multiple comparisons among the controls and the injury models at different time points.; Results:The mRNA transcript profiling, co-expression network analysis, and functional analysis of altered lncRNAs indicated enrichment in the regulation of immune system/inflammation processes, response to stress, and inflammatory pathways.; Conclusions: In summary, our study identified aberrant lncRNA alterations regulated by high-stretch ventilation, and bioinformatics analysis was used to screen the key biological processes and pathways involved in inflammation upon VILI. lncRNA-mediated regulatory patterns might contribute to VILI inflammation. SOURCE: Nan Zhang (nannanzhangjd@163.com) - Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing, China.

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team