Pancreatic adenocarcinoma protein-protein interaction network analysis

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 asp...

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Autores principales: Rezaei-Tavirani, Mostafa, Rezaei-Tavirani, Sina, Ahmadi, Nayebali, Naderi, Nosratollah, Abdi, Saeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shaheed Beheshti University of Medical Sciences 2017
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5838186/
https://www.ncbi.nlm.nih.gov/pubmed/29511477
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author Rezaei-Tavirani, Mostafa
Rezaei-Tavirani, Sina
Ahmadi, Nayebali
Naderi, Nosratollah
Abdi, Saeed
author_facet Rezaei-Tavirani, Mostafa
Rezaei-Tavirani, Sina
Ahmadi, Nayebali
Naderi, Nosratollah
Abdi, Saeed
author_sort Rezaei-Tavirani, Mostafa
collection PubMed
description 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.
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spelling pubmed-58381862018-03-06 Pancreatic adenocarcinoma protein-protein interaction network analysis Rezaei-Tavirani, Mostafa Rezaei-Tavirani, Sina Ahmadi, Nayebali Naderi, Nosratollah Abdi, Saeed Gastroenterol Hepatol Bed Bench Original Article 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. Shaheed Beheshti University of Medical Sciences 2017 /pmc/articles/PMC5838186/ /pubmed/29511477 Text en ©2017 RIGLD, Research Institute for Gastroenterology and Liver Diseases This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Rezaei-Tavirani, Mostafa
Rezaei-Tavirani, Sina
Ahmadi, Nayebali
Naderi, Nosratollah
Abdi, Saeed
Pancreatic adenocarcinoma protein-protein interaction network analysis
title Pancreatic adenocarcinoma protein-protein interaction network analysis
title_full Pancreatic adenocarcinoma protein-protein interaction network analysis
title_fullStr Pancreatic adenocarcinoma protein-protein interaction network analysis
title_full_unstemmed Pancreatic adenocarcinoma protein-protein interaction network analysis
title_short Pancreatic adenocarcinoma protein-protein interaction network analysis
title_sort pancreatic adenocarcinoma protein-protein interaction network analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5838186/
https://www.ncbi.nlm.nih.gov/pubmed/29511477
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