Lung fibrosis (WP3624)
Lung fibrosis pathway linked to events (molecular initiating event, key events and associative events) in a putative Adverse Outcome Pathway for lung fibrosis. Proteins on this pathway have targeted assays available via the [https://assays.cancer.gov/available_assays?wp_id=WP3624 CPTAC Assay Portal]
AuthorsFriederike Ehrhart , Penny Nymark , Linda Rieswijk , Kristina Hanspers , Jonathan Mélius , Egon Willighagen , and Martina Summer-Kutmon
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- Identifying Drug-Induced Liver Injury Associated With Inflammation-Drug and Drug-Drug Interactions in Pharmacologic Treatments for COVID-19 by Bioinformatics and System Biology Analyses: The Role of Pregnane X Receptor (2022).
- Target and drug predictions for SARS-CoV-2 infection in hepatocellular carcinoma patients (2022).
- AMP5A modulates Toll-like receptors 7 and 8 single-stranded RNA immune responses in PMA-differentiated THP-1 and PBMC (2022).
- Disrupting biological sensors of force promotes tissue regeneration in large organisms (2021).
- Transcriptomic changes in peripheral blood mononuclear cells with weight loss: systematic literature review and primary data synthesis (2021).
- A Network-Based Analysis Reveals the Mechanism Underlying Vitamin D in Suppressing Cytokine Storm and Virus in SARS-CoV-2 Infection (2020).
- LMWF5A suppresses cytokine release by modulating select inflammatory transcription factor activity in stimulated PBMC (2020).
- Citalopram-induced pathways regulation and tentative treatment-outcome-predicting biomarkers in lymphoblastoid cell lines from depression patients (2020).
- Adverse outcome pathways as a tool for the design of testing strategies to support the safety assessment of emerging advanced materials at the nanoscale (2020).
- Linking Bisphenol S to Adverse Outcome Pathways Using a Combined Text Mining and Systems Biology Approach (2019).
- Characteristic miRNA expression signature and random forest survival analysis identify potential cancer-driving miRNAs in a broad range of head and neck squamous cell carcinoma subtypes (2018).
- GediNET for discovering gene associations across diseases using knowledge based machine learning approach (2022).
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CommunitiesAdverse Outcome Pathways Diseases Nanomaterials Pathways
Disease Ontologypulmonary fibrosis
Pathway Ontologyrespiratory system disease pathway carbon nanotube response pathway
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