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BioMed Research International
Volume 2013 (2013), Article ID 187509, 11 pages
http://dx.doi.org/10.1155/2013/187509
Research Article

Reconstruction and Analysis of Human Kidney-Specific Metabolic Network Based on Omics Data

1State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
2Graduate School of the Chinese Academy of Sciences, Kunming 650223, China
3Kunming Institute of Zoology, Chinese University of Hongkong Joint Research Center for Bio-resources and Human Disease Mechanisms, Kunming 650223, China

Received 7 June 2013; Revised 23 August 2013; Accepted 26 August 2013

Academic Editor: Zhirong Sun

Copyright © 2013 Ai-Di Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supplementary Figure S1: Is about GO enrichment analysis of the 24 nonessential KS genes.

Supplementary Figure S2: Is about the flux variability analysis result of metabolic network for the 24 nonessential KS genes.

Supplementary Figure S3: Is about biological processes enrichment analysis for PDG in comparison of kidney-specific metabolic network with liver-specific metabolic network.

Supplementary Figure S4: Is about GO enrichment analysis of drug target genes of kidney-related diseases.

Supplementary Table S1: Is about predicted metabolic biomarkers for kidney-related diseases using kidney metabolic model.

Supplementary Table S2: Is about the involved reactions' information about kidney-specific genes in the kidney-specific metabolic network.

Supplementary Table S3: Is about gene clusters and the corresponding significantly enriched GO categories obtained from BINGO.

Supplementary Table S4: Is about predicted potential drug targets similar to HMGCR.

  1. Supplementary Material