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BioMed Research International
Volume 2014, Article ID 895179, 9 pages
http://dx.doi.org/10.1155/2014/895179
Research Article

Systematic Expression Profiling Analysis Identifies Specific MicroRNA-Gene Interactions that May Differentiate between Active and Latent Tuberculosis Infection

1Institute of Medical Sciences, Tzu Chi University, Hualien 97004, Taiwan
2Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan 33004, Taiwan
3Department of Life Sciences, National Central University, Taoyuan 32001, Taiwan
4Department of Computer Science and Engineering, Yuan Ze University, Taoyuan 32003, Taiwan
5Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan 32003, Taiwan
6Bioinformatics Core Laboratory, Institute of Molecular Biology, Academia Sinica, Taipei 11529, Taiwan

Received 24 March 2014; Accepted 1 July 2014; Published 4 September 2014

Academic Editor: Tzu-Hao Chang

Copyright © 2014 Lawrence Shih-Hsin Wu 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

Table S1. Differentially expressed blood-and lung-targeting microRNAs and their target genes in active TB versus healthy control (absolute fold change>1, FDR<0.05).

Table S2. Differentially expressed blood-and lung-targeting microRNAs and their target genes in LTBI versus healthy control (absolute fold change>1, FDR<0.05).

Table S3. Differentially expressed blood-and lung-targeting microRNAs and their target genes in LTBI versus active TB (absolute fold change>1, FDR<0.05).

  1. Supplementary Tables