تفاصيل الوثيقة

نوع الوثيقة : مقال في مجلة دورية 
عنوان الوثيقة :
In Silico discovery of transcription factors as potential diagnostic biomarkers of ovarian cancer
In Silico discovery of transcription factors as potential diagnostic biomarkers of ovarian cancer
 
لغة الوثيقة : الانجليزية 
المستخلص : BACKGROUND: Our study focuses on identifying potential biomarkers for diagnosis and early detection of ovarian cancer (OC) through the study of transcription regulation of genes affected by estrogen hormone. RESULTS: The results are based on a set of 323 experimentally validated OC-associated genes compiled from several databases, and their subset controlled by estrogen. For these two gene sets we computationally determined transcription factors (TFs) that putatively regulate transcription initiation. We ranked these TFs based on the number of genes they are likely to control. In this way, we selected 17 top-ranked TFs as potential key regulators and thus possible biomarkers for a set of 323 OC-associated genes. For 77 estrogen controlled genes from this set we identified three unique TFs as potential biomarkers. CONCLUSIONS: We introduced a new methodology to identify potential diagnostic biomarkers for OC. This report is the first bioinformatics study that explores multiple transcriptional regulators of OC-associated genes as potential diagnostic biomarkers in connection with estrogen responsiveness. We show that 64% of TF biomarkers identified in our study are validated based on real-time data from microarray expression studies. As an illustration, our method could identify CP2 that in combination with CA125 has been reported to be sensitive in diagnosing ovarian tumors. 
ردمد : 1752-0509 
اسم الدورية : BMC systems biology 
المجلد : 5 
العدد : 1 
سنة النشر : 1432 هـ
2011 م 
نوع المقالة : مقالة علمية 
تاريخ الاضافة على الموقع : Tuesday, March 8, 2016 

الباحثون

اسم الباحث (عربي)اسم الباحث (انجليزي)نوع الباحثالمرتبة العلميةالبريد الالكتروني
Mandeep KaurKaur, Mandeep باحث رئيسي  
Cameron MacPhersonMacPherson, Cameron باحث مشارك  
Sebastian SchmeierSchmeier, Sebastian باحث مشارك  
Kothandaraman NarasimhanNarasimhan, Kothandaraman باحث مشاركدكتوراه 
Mahesh ChoolaniChoolani, Mahesh باحث مشارك  
Vladimir BajicBajic, Vladimir باحث مشارك  

الملفات

اسم الملفالنوعالوصف
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