• 1
  • 2
  • 5
  • 6
  • 7
  • 8
  • 9
  • 3
  • 4
IPM
30
YEARS OLD

“School of Biological”

Back to Papers Home
Back to Papers of School of Biological

Paper   IPM / Biological / 13717
School of Biological Sciences
  Title:   Comparative Analysis of Prostate Cancer Gene Regulatory Networks via Hub Type Variation
  Author(s): 
1 . P. Khosravi.
2 . V. H. Gazestani.
3 . M. Akbarzadeh.
4 . S. Mirkhalaf.
5 . M. Sadeghi.
6 . B. Goliaei.
  Status:   Published
  Journal: Avicenna J Med Biotech
  No.:  1
  Vol.:  7
  Year:  2015
  Pages:   8-15
  Supported by:  IPM
  Abstract:
Background: Prostate cancer is one of the most widespread cancers in men and is fundamentally a genetic disease. Identifying regulators in cancer using novel systems biology approaches will potentially lead to new insight into this disease. It was sought to address this by inferring gene regulatory networks (GRNs). Moreover, dynamical analysis of GRNs can explain how regulators change among different conditions, such as cancer subtypes. Methods: In our approach, independent gene regulatory networks from each prostate state were reconstructed using one of the current state-of-art reverse engineering approaches. Next, crucial genes involved in this cancer were highlighted by analyzing each network individually and also in comparison with each other. Results: In this paper, a novel network-based approach was introduced to find critical transcription factors involved in prostate cancer. The results led to detection of 38 essential transcription factors based on hub type variation. Additionally, experimental evidence was found for 29 of them as well as 9 new transcription factors. Conclusion: The results showed that dynamical analysis of biological networks may provide useful information to gain better understanding of the cell.


Download TeX format
back to top
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
Clients Logo
scroll left or right