Non-negative Matrix Factorization and Differential Expression Analyses Identify Hub Genes Linked to Progression and Prognosis of Glioblastoma Multiforme
Yazarlar (4)
Dr. Öğr. Üyesi Sevinç AKÇAY Kırşehir Ahi Evran Üniversitesi, Türkiye
Doç. Dr. Emine Güven Düzce Üniversitesi, Türkiye
Muhammad Afzal Al Jouf University
Imran Kazmi King Abdulaziz University
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | GENE (Q2) | ||
| Dergi ISSN | 0378-1119 Dergi Bilgileri (2022) | ||
| Dergi Tarandığı Indeksler | SCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 05-2022 |
| Cilt / Sayı / Sayfa | 824 / 0 / 146395–0 | DOI | 10.1016/j.gene.2022.146395 |
| Makale Linki | https://www.sciencedirect.com/science/article/pii/S0378111922002141 | ||
| UAK Araştırma Alanları |
Moleküler Biyoloji
Genetik
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| Özet |
| One of the most prevailing primary brain tumors in adult human male is glioblastoma multiforme (GBM), which is categorized by rapid cellular growth. Even though the combination therapy comprises surgery, chemotherapy, and adjuvant therapies, the survival rate, on average, is 14.6 months. Glioma stem cells (GSCs) have key roles in tumorigenesis, progression, and defiance against chemotherapy and radiotherapy. In our study, firstly, the gene expression dataset GSE124145 was retrieved; the non-negative matrix factorization (NMF) method was applied on GBM dataset, and differentially expressed genes analysis (DEGs) was performed. After which, overlapping genes between metagenes and DEGs were detected to examine the Gene Ontology (GO) categories in the biological process (BP) in the stemness of GBM. The common hub genes were used to construct protein–protein interaction (PPI) network and … |
| Anahtar Kelimeler |
| Glioblastoma multiforme (GBM) | non-negative matrix factorization (NMF) | Metagenes | Glioblastoma stem cells (GSCs) | Differentially expressed genes (DEGs) |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 7 |
| Google Scholar | 10 |