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BioMed Research International
Volume 2014 (2014), Article ID 594350, 12 pages
http://dx.doi.org/10.1155/2014/594350
Research Article

Identification of MicroRNA as Sepsis Biomarker Based on miRNAs Regulatory Network Analysis

1Systems Sepsis Biology Team, Soochow University Affiliated Children’s Hospital, Suzhou 215003, China
2Center for Systems Biology, Soochow University, Suzhou 215006, China
3Suzhou Zhengxing Translational Biomedical Informatics Ltd., Taicang 215400, China
4Taicang Center for Translational Bioinformatics, Taicang 215400, China

Received 17 January 2014; Accepted 3 March 2014; Published 6 April 2014

Academic Editor: Junfeng Xia

Copyright © 2014 Jie Huang 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 Table S1 presents the result of gene ontology (GO) analysis for protein-protein interaction network (PIN) regulated by the sepsis miRNA biomarkers. Only the GO terms common to 10 candidate miRNAs are list.

For each GO term, the listed genes are the targets of the microRNA biomarker and their direct neighbors. The P-values are calculated based on enrichment analysis and hyper-geometric distribution.

  1. Supplementary Material