Reconstruction and Analysis of Human Kidney-Specific Metabolic Network Based on Omics Data
Joint Authors
Zhang, Ai-Di
Dai, Shao-Xing
Huang, Jing-Fei
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1003655