Reconstruction of the co-expression network for the hippo signaling pathway in glioblastoma
محل انتشار: کنگره بین المللی علوم زیست پزشکی اصفهان
سال انتشار: 1399
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 300
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شناسه ملی سند علمی:
ICIBS01_240
تاریخ نمایه سازی: 2 آذر 1399
چکیده مقاله:
Introduction & Objectives: The Hippo signaling pathway (HSP), Last known signaling pathway has been identified as a Highly conserved, essential and complex signaling pathway for tumor suppression that coordinates proliferation, differentiation, cell death, cell growth and stemness. Glioblastoma (GBM) the most common malignant brain tumor with unique characteristics of highest invasion, tumor vascularization, heterogeneity, maintaining stem cell-like cells and malignancy rate, often resulting in poor prognoses and high resistance rates to combination therapies. Discovery of genes and signaling pathway associated with such unique hallmarks in GBM using system biology approach provide new targets and improve combination therapies and clinical care.Materials & Methods: In the present study, we conducted a genome-scale co-expression analysis to reconstruct the HSP in GBM. glioblastoma Microarray data analysis was performed using WGCNA package in R software.Results: In conduction of a genome-scale co-expression analysis to reconstruct the HSP in glioblastoma, four key modules were detected through network clustering, and a detailed discussion of two modules containing respectively 15 and 9 over and down-regulated members of HSP was provided.Conclusion: Our results suggest new potential regulatory factors in the HSP. The detected modules also suggest novel genes contributing to GBM. Moreover, differential expression analysis confirmed the differential expression pattern of HSP members and new suggested regulatory factors between tumor and normal samples. These findings can further reveal the importance of HSP in GBM.
کلیدواژه ها:
نویسندگان
Akram Aminjafari
Cellular and Molecular Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran