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Comparative Analysis of Prostate Cancer Gene Regulatory Networks Via Hub Type Variation
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نویسنده
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Khosravi Pegah ,Gazestani Vahid H. ,Akbarzadeh Mohammad ,Mirkhalaf Samira ,Sadeghi Mehdi ,Goliaei Bahram
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منبع
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Avicenna Journal Of Medical Biotechnology - 2015 - دوره : 7 - شماره : 1 - صفحه:8 -15
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چکیده
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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.
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کلیدواژه
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Gene Regulatory Networks ,Prostate Cancer ,Transcription Factors
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آدرس
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University Of Tehran, Institute Of Biochemistry And Biophysics (Ibb), Department Of Bioinformatics, ایران. Institute For Research In Fundamental Sciences (Ipm), School Of Biological Sciences,, ایران, Mcgill University, Institute Of Parasitology, Canada, University Of Tehran, Institute Of Biochemistry And Biophysics (Ibb), Department Of Bioinformatics, ایران, University Of Tehran, Institute Of Biochemistry And Biophysics (Ibb), Department Of Bioinformatics, ایران, Institute For Research In Fundamental Sciences (Ipm), School Of Biological Sciences, ایران. National Institute Of Genetic Engineering And Biotechnology (Nigeb), ایران, University Of Tehran, Institute Of Biochemistry And Biophysics (Ibb), Department Of Bioinformatics, ایران
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Authors
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