Reconstruction and Analysis of Human Kidney-Specific Metabolic Network Based on Omics Data
المؤلفون المشاركون
Zhang, Ai-Di
Dai, Shao-Xing
Huang, Jing-Fei
المصدر
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-10-05
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
With the advent of the high-throughput data production, recent studies of tissue-specific metabolic networks have largely advanced our understanding of the metabolic basis of various physiological and pathological processes.
However, for kidney, which plays an essential role in the body, the available kidney-specific model remains incomplete.
This paper reports the reconstruction and characterization of the human kidney metabolic network based on transcriptome and proteome data.
In silico simulations revealed that house-keeping genes were more essential than kidney-specific genes in maintaining kidney metabolism.
Importantly, a total of 267 potential metabolic biomarkers for kidney-related diseases were successfully explored using this model.
Furthermore, we found that the discrepancies in metabolic processes of different tissues are directly corresponding to tissue's functions.
Finally, the phenotypes of the differentially expressed genes in diabetic kidney disease were characterized, suggesting that these genes may affect disease development through altering kidney metabolism.
Thus, the human kidney-specific model constructed in this study may provide valuable information for the metabolism of kidney and offer excellent insights into complex kidney diseases.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Ai-Di& Dai, Shao-Xing& Huang, Jing-Fei. 2013. Reconstruction and Analysis of Human Kidney-Specific Metabolic Network Based on Omics Data. BioMed Research International،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1003655
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Ai-Di…[et al.]. Reconstruction and Analysis of Human Kidney-Specific Metabolic Network Based on Omics Data. BioMed Research International No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1003655
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Ai-Di& Dai, Shao-Xing& Huang, Jing-Fei. Reconstruction and Analysis of Human Kidney-Specific Metabolic Network Based on Omics Data. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1003655
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1003655
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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