Author/Authors :
Rezaei-Tavirani, Mostafa Proteomics Research Center - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Rezaei-Tavirani, Sina Proteomics Research Center - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Ahmadi, Nayebali Foodborne and Waterborne Diseases Research Center - Research Institute for Gastroenterology and Liver Diseases - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Naderi, Nosratollah Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center - Research Institute for Gastroenterology and Liver Diseases - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Abdi, Saeed Gastroenterology and Liver Diseases Research Center - Research Institute for Gastroenterology and Liver Diseases - Shahid Beheshti University of Medical Sciences, Tehran, Iran
Abstract :
Aim: Gene assessment of pancreatic adenocarcinoma disease via protein-protein interaction (PPI) Network Analysis.
Background: Diagnosis, especially early detection of pancreatic adenocarcinoma as a lethal disease implies more investigation. PPI
Network Analysis is a suitable tool to discover new aspects of molecular mechanism of diseases.
Methods: In the present study the related genes to pancreatic adenocarcinoma are studied in the interactome unit and the key genes
are highlighted. The significant clusters were introduced by Cluster-ONE application of Cytoscape software 3.4.0. The genes are
retrieved from STRING date base and analyzed by Cytoscape software. The crucial genes based on analysis of central parameters
were determined and enriched by ClueGO v2.3.5 via gene ontology.
Results: The number of 24 key genes among 794 initial genes were highlighted as crucial nodes in relationship with pancreatic
adenocarcinoma. All of the key genes were organized in a cluster including 216 nodes. The main related pathways and cancer
diseases were determined.
Conclusion: It was concluded that the introduced 24 genes are possible biomarker panel of pancreatic adenocarcinoma.
Keywords :
pancreatic adenocarcinoma , Protein-Protein Interaction , biomarker panel , gene ontology , cluster
