ArticleBioMed research international2014
PPI network analysis of mRNA expression profile of ezrin knockdown in esophageal squamous cell carcinoma.
Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 24 citations in OpenAlex.
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- Identification and analysis of long non-coding RNA related miRNA sponge regulatory network in bladder urothelial carcinoma.Cancer cell international · 2019Article
- Identification of core genes and prediction of miRNAs associated with osteoporosis using a bioinformatics approach.Oncology letters · 2019Article
- Identification and analysis of key genes associated with ulcerative colitis based on DNA microarray data.Medicine · 2018Article
- The PPI network analysis of mRNA expression profile of uterus from primary dysmenorrheal rats.Scientific reports · 2018Article
- Ezrin Inhibition Up-regulates Stress Response Gene Expression.The Journal of biological chemistry · 2016Article
- Systematic synergy modeling: understanding drug synergy from a systems biology perspective.BMC systems biology · 2015Article
- Establishment of a new OSCC cell line derived from OLK and identification of malignant transformation-related proteins by differential proteomics approach.Scientific reports · 2015Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ezrin, coding protein EZR which cross-links actin filaments, overexpresses and involves invasion, metastasis, and poor prognosis in various cancers including esophageal squamous cell carcinoma (ESCC). In our previous study, Ezrin was knock down and analyzed by mRNA expression profile which has not been fully mined. In this study, we applied protein-protein interactions (PPI) network knowledge and methods to explore our understanding of these differentially expressed genes (DEGs). PPI subnetworks showed that hundreds of DEGs interact with thousands of other proteins. Subcellular localization analyses found that the DEGs and their directly or indirectly interacting proteins distribute in multiple layers, which was applied to analyze the shortest paths between EZR and other DEGs. Gene ontology annotation generated a functional annotation map and found hundreds of significant terms, especially those associated with cytoskeleton organization of Ezrin protein, such as "cytoskeleton organization," "regulation of actin filament-based process," and "regulation of actin cytoskeleton organization." The algorithm of Random Walk with Restart was applied to prioritize the DEGs and identified several cancer related DEGs ranked closest to EZR. These analyses based on PPI network have greatly expanded our comprehension of the mRNA expression profile of Ezrin knockdown for future examination of the roles and mechanisms of Ezrin.
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