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Systematic Analysis of Endometrial Cancer-Associated Hub Proteins Based on Text Mining
المؤلفون المشاركون
المصدر
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-6، 6ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-08-23
دولة النشر
مصر
عدد الصفحات
6
التخصصات الرئيسية
الملخص EN
Objective.
The aim of this study was to systematically characterize the expression of endometrial cancer- (EC-) associated genes and to analysis the functions, pathways, and networks of EC-associated hub proteins.
Methods.
Gene data for EC were extracted from the PubMed (MEDLINE) database using text mining based on NLP.
PPI networks and pathways were integrated and obtained from the KEGG and other databases.
Proteins that interacted with at least 10 other proteins were identified as the hub proteins of the EC-related genes network.
Results.
A total of 489 genes were identified as EC-related with P < 0.05 , and 32 pathways were identified as significant ( P < 0.05 , F D R < 0.05 ).
A network of EC-related proteins that included 271 interactions was constructed.
The 17 proteins that interact with 10 or more other proteins ( P < 0.05 , F D R < 0.05 ) were identified as the hub proteins of this PPI network of EC-related genes.
These 17 proteins are EGFR, MET, PDGFRB, CCND1, JUN, FGFR2, MYC, PIK3CA, PIK3R1, PIK3R2, KRAS, MAPK3, CTNNB1, RELA, JAK2, AKT1, and AKT2.
Conclusion.
Our data may help to reveal the molecular mechanisms of EC development and provide implications for targeted therapy for EC.
However, corrections between certain proteins and EC continue to require additional exploration.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gao, Huiqiao& Zhang, Zhenyu. 2015. Systematic Analysis of Endometrial Cancer-Associated Hub Proteins Based on Text Mining. BioMed Research International،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1056135
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gao, Huiqiao& Zhang, Zhenyu. Systematic Analysis of Endometrial Cancer-Associated Hub Proteins Based on Text Mining. BioMed Research International No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1056135
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gao, Huiqiao& Zhang, Zhenyu. Systematic Analysis of Endometrial Cancer-Associated Hub Proteins Based on Text Mining. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1056135
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1056135
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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