Comparative Analysis of Prostate Cancer Gene Regulatory Networks via Hub Type Variation.
作者： Vahid H. Gazestani , Bahram Goliaei , Pegah Khosravi , Mehdi Sadeghi , Samira Mirkhalaf
DOI:
关键词: Computational biology 、 Genetics 、 Gene 、 Transcription factor 、 Disease 、 Cancer 、 Gene regulatory network 、 Biological network 、 Prostate cancer 、 Biology 、 Systems biology
摘要: Background: Prostate cancer is one of the most widespread cancers in men and fundamentally a genetic disease. Identifying regulators using novel systems biology approaches will potentially lead to new insight into this It was sought address by inferring gene regulatory networks (GRNs). Moreover, dynamical analysis GRNs can explain how change among different conditions, such as subtypes. Methods: In our approach, independent from each prostate state were reconstructed current state-of-art reverse engineering approaches. Next, crucial genes involved highlighted analyzing network individually also comparison with other. Results: paper, network-based approach introduced find critical transcription factors cancer. The results led detection 38 essential based on hub type variation. Additionally, experimental evidence found for 29 them well 9 factors. Conclusion: showed that biological may provide useful information gain better understanding cell.
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