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Int. J. Mol. Sci. 2016, 17(11), 1857;

Systematic Analysis of Protein Interaction Network Associated with Azoospermia

Department of Biological and Health Sciences, Faculty of Bioscience & Medical Engineering, Universiti Teknologi Malaysia, 81310 Johor, Malaysia
Author to whom correspondence should be addressed.
Academic Editors: Tatyana Karabencheva-Christova and Christo Z. Christov
Received: 27 July 2016 / Revised: 19 October 2016 / Accepted: 1 November 2016 / Published: 10 November 2016
(This article belongs to the Collection Proteins and Protein-Ligand Interactions)
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Non-obstructive azoospermia is a severe infertility factor. Currently, the etiology of this condition remains elusive with several possible molecular pathway disruptions identified in the post-meiotic spermatozoa. In the presented study, in order to identify all possible candidate genes associated with azoospermia and to map their relationship, we present the first protein-protein interaction network related to azoospermia and analyze the complex effects of the related genes systematically. Using Online Mendelian Inheritance in Man, the Human Protein Reference Database and Cytoscape, we created a novel network consisting of 209 protein nodes and 737 interactions. Mathematical analysis identified three proteins, ar, dazap2, and esr1, as hub nodes and a bottleneck protein within the network. We also identified new candidate genes, CREBBP and BCAR1, which may play a role in azoospermia. The gene ontology analysis suggests a genetic link between azoospermia and liver disease. The KEGG analysis also showed 45 statistically important pathways with 31 proteins associated with colorectal, pancreatic, chronic myeloid leukemia and prostate cancer. Two new genes and associated diseases are promising for further experimental validation. View Full-Text
Keywords: azoospermia; gene ontology; infertility; protein interaction network azoospermia; gene ontology; infertility; protein interaction network

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Sabetian, S.; Shamsir, M.S. Systematic Analysis of Protein Interaction Network Associated with Azoospermia. Int. J. Mol. Sci. 2016, 17, 1857.

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