Objective: Viral hepatitis is associated with high morbidity and mortality. Identification of biological pathways involved in hepatic fibrosis resulting from chronic hepatitis C are essential for better management of patients. Constructing the -human protein interaction network through bioinformatics may enable us to discover diagnostic biological pathways. We investigated to identify dysregulated pathways and gene enrichment based on actin alpha 2 ( and glial fibrillar acidic protein ( interaction network analysis in hepatic fibrosis.
Methods: This is an in-silico study conducted at Ziauddin University from March,2019 to September 2019. Enrichment and protein-protein interaction (PPI) network analysis of the identified proteins: and along with their mapped gene data sets was performed using FunRich version 3.1.3.
Results: Biological pathway grouping showed enrichment of proteins (85.7%) in signalling pathway by epidermal growth factor receptor () and Tumor growth factor (-beta Receptor followed by signaling by and (71.4%) (p < 0.001). were enriched in both and -beta Signalling pathways.
Conclusion: and signalling pathways were enriched in liver fibrosis. were enriched and differentially expressed in both and -beta signalling pathways.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260937 | PMC |
http://dx.doi.org/10.12669/pjms.36.4.1845 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!