ArticleAnnals of translational medicine2021
Bioinformatic analysis of differentially expressed genes and pathways in idiopathic pulmonary fibrosis.
Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Identification of Hub Genes in Idiopathic Pulmonary Fibrosis and Their Association with Lung Cancer by Bioinformatics Analysis.Advances in respiratory medicine · 2023Pooled it
- Multi-omics Analysis Reveals the Prognostic and Therapeutic Value of TGF-β Signaling-related Genes in Idiopathic Pulmonary Fibrosis.Biochemical genetics · 2026Article
- Pharmacological repurposing of cilostazol to attenuate the progression of pulmonary fibrosis: efficacy validation via integrated network pharmacology and in vivo experimentation.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- The network pharmacology prediction and experiment validation of Astragalus membranaceus for alleviating silicosis fibrosis via decreasing MMP9 and EGFR expression.Scientific reports · 2026Article
- Article
- The intersection of liver cirrhosis and pulmonary fibrosis.Journal of translational medicine · 2025Review
- Identification of diagnostic and prognostic phospholipid biomarkers in idiopathic pulmonary fibrosis via machine learning and in vivo validation.Human genomics · 2025Article
- Shared pathogenic mechanisms linking obesity and idiopathic pulmonary fibrosis revealed by bioinformatics and in vivo validation.Scientific reports · 2025Article
- Pathogenesis and current status of the treatment of lung cancer associated with idiopathic pulmonary fibrosis.Respiratory research · 2025Review
- A gene set enrichment analysis for cancer hallmarks.Journal of pharmaceutical analysis · 2025Article
- Macrophages in organ fibrosis: from pathogenesis to therapeutic targets.Cell death discovery · 2024Review
- 5-methyladenosine regulators play a crucial role in development of chronic hypersensitivity pneumonitis and idiopathic pulmonary fibrosis.Scientific reports · 2023Article
- Matrix Metalloproteinases and Their Inhibitors in Pulmonary Fibrosis: EMMPRIN/CD147 Comes into Play.International journal of molecular sciences · 2022Review
- ERS International Congress 2021: highlights from the Interstitial Lung Diseases Assembly.ERJ open research · 2022Article
- Development and Validation of Prognostic Model for Lung Adenocarcinoma Patients Based on m6A Methylation Related Transcriptomics.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUsing bioinformatic methods to explore the differentially expressed genes (DEGs) of human idiopathic pulmonary fibrosis (IPF) and to elucidate the pathogenesis of IPF from the genetic level.
methodsThe GSE110147 gene expression profile was downloaded from the GEO database. The data of lung adenocarcinoma (LUAD) samples, lung squamous cell carcinoma (LUSC) samples and normal samples were downloaded from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases. DEGs between IPF patients and healthy donors were analyzed using the GEO2R tool. Use the "clusterprofiler" package in R software to perform gene ontology (GO) and KEGG pathway enrichment analysis, and then perform function annotation and protein-protein interaction (PPI) network construction in the STRING online tool. The Genome Browser tool of the university of california santa cruz (UCSC) online website was used to predict transcription factors (TFs) of genes. In the final, the results were analyzed synthetically.
resultsA total of 9,183 DEGs were identified, of which 4,545 genes were down-regulated, and 4638 were up-regulated.
conclusionsBioinformatics analysis revealed that DEGs including
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.