PLX157370

GSE79544: Idiopathic pulmonary fibrosis bronchoalveolar lavage cells RNA-seq indicates macrophage expression of pro-inflammatory M1/M2 activation concomitant with radical species metabolism inhibition

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

Current concepts of idiopathic pulmonary fibrosis (IPF) are that microscopic injury drives alveolar epithelial cell dysregulated activation and epithelial mesenchymal transition, ensuing fibrocyte recruitment, fibroblast proliferation and ECM deposition. With the background that IPF is also characterized by chronic accumulation of activated alveolar macrophages (aMAC) in the lower respiratory tract, we assessed IPFaMAC gene expression to identify patterns of activation, by RNA-seq using Illumina platform. To this we evaluated a population of 7 normal smoking controls and 16 IPF smoking patients. All IPFs had abnormal lung function and bronchoalveolar lavage (BAL) showing >80% macrophage counts and augmented spontaneous O2 radical release. RNA was extracted from whole BAL cells. Reads were mapped onto the UCSC mRNA database (GRCh37/hg19 version), and transcripts were aggregated by gene symbol, obtaining a final 19,723 unique protein-coding gene ID list, used for further analysis. SOURCE: Ivan Arisi (i.arisi@ebri.it) - lab.127 European Brain Research Institute

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