همایش ملی بیوانفورماتیک ایران

صفحه اصلی / 4th international edition and 13th Iranian Conference on Bioinformatics

Identification of key genes associated with glioblastoma multiforme using microarray data

نویسندگان :

Motahareh Shanyan¹ Sohrab Boozarpour² Zahra Pezeshkian³ Hossain Sabori⁴ Mahmoud Salehi⁵

1- دانشگاه گنبد کاووس 2- دانشگاه گنبد کاووس 3- پارک علم و فناوری گیلان 4- دانشگاه گنبد کاووس 5- دانشگاه گنبد کاووس

کلمات کلیدی :

Glioblastoma،Microarray،key gene،Analyze

چکیده :

Glioblastoma multiforme is the most common and aggressive primary malignant tumor of the central nervous system that develops between the ages of 45 and 70 years. The aim of this study was to identify key genes associated with glioblastoma multiforme. Microarray gene expression data related to patients with glioblastoma and healthy individuals were analyzed. Differentially expressed genes between patients and healthy individuals were identified. Cytoscape software was used to analyze the protein-protein interaction network of these genes. Then, 10 key genes associated with this disease were identified based on the network criteria. The results of the analysis identified 737 differentially expressed genes between patients and healthy individuals, of which 464 genes were up-regulated and 273 were down-regulated. Finally, 10 key genes were identified, among which HLADQA2 and HLADRA were determined as the most important genes. These genes can be considered as potential biomarkers associated with glioblastoma disease. The use of these markers can lead to early diagnosis of this disease and the adoption of more effective treatment methods against this disease.

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