ArticleInternational journal of clinical and experimental pathology2020
Identification of transcriptomic markers for developing idiopathic pulmonary fibrosis: an integrative analysis of gene expression profiles.
Article in International journal of clinical and experimental pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 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
- Fibronectin's tensional state as a mechanical signature of fibrotic extracellular matrix in idiopathic pulmonary fibrosis models.Matrix biology plus · 2026Article
- Unravelling the transcriptomic characteristics of bronchoalveolar lavage in post-covid pulmonary fibrosis.BMC medical genomics · 2025Article
- A semi-automatic pipeline integrating histological and µCT data in a mouse model of lung fibrosis.Journal of translational medicine · 2024Article
- Effects of Anti-Fibrotic Drugs on Transcriptome of Peripheral Blood Mononuclear Cells in Idiopathic Pulmonary Fibrosis.International journal of molecular sciences · 2024Article
- Lupus dermal fibroblasts are proinflammatory and exhibit a profibrotic phenotype in scarring skin disease.JCI insight · 2024Article
- Development of a Novel Biomarker for the Progression of Idiopathic Pulmonary Fibrosis.International journal of molecular sciences · 2024Article
- The Genetic Landscape of Familial Pulmonary Fibrosis.American journal of respiratory and critical care medicine · 2023Article
- An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers.Computational and structural biotechnology journal · 2023Article
- The identification and validation of hub genes associated with advanced IPF by weighted gene co-expression network analysis.Functional & integrative genomics · 2022Article
- Integrative omics analysis identifies biomarkers of idiopathic pulmonary fibrosis.Cellular and molecular life sciences : CMLS · 2022Article
- Identification of Impacted Pathways and Transcriptomic Markers as Potential Mediators of Pulmonary Fibrosis in Transgenic Mice Expressing Human IGFBP5.International journal of molecular sciences · 2021Article
- Fibromine is a multi-omics database and mining tool for target discovery in pulmonary fibrosis.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Idiopathic pulmonary fibrosis (IPF) remains a lethal disease with unknown etiology and unmet medical need. The aim of this study was to perform an integrative analysis of multiple public microarray datasets to investigate gene expression patterns between IPF patients and healthy controls. Moreover, functional interpretation of differentially expressed genes (DEGs) was performed to assess the molecular mechanisms underlying IPF progression. DEGs between IPF and normal lung tissues were picked out by GEO2R tool and Venn diagram software. Database for Annotation, Visualization and Integrated Discovery (DAVID) was applied to analyze gene ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway. Protein-protein interaction (PPI) of these DEGs was visualized by Cytoscape with Search Tool for the Retrieval of Interacting Genes (STRING). 5520 DEGs were identified in IPF based on six profile datasets, including 3714 up-regulated genes and 1806 down-regulated genes. Using Venn software, a total of 367 commonly altered DEGs were revealed, including 259 up-regulated genes mostly enriched in collagen catabolic process, heparin binding, and the extracellular region. For pathway analysis, up-regulated DEGs were mainly enriched in ECM-receptor interaction, protein digestion and absorption, and focal adhesion. Finally, 24 DEGs with degrees ≥10 were screened as hub genes from the PPI network, which were enriched in protein digestion and absorption, ECM-receptor interaction, focal adhesion, PI3K-Akt signaling pathway, amoebiasis, and platelet activation. The present integrative study identified DEGs and hub genes that may be diagnostic biomarkers or therapeutic targets, and provide novel insights into the pathogenesis of IPF.
Indexed as
Identifiers
32782692PMC7414459W3048590357What 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.