Systematic Expression Profiling Analysis Identifies Specific MicroRNA-Gene Interactions that May Differentiate between Active and Latent Tuberculosis Infection
Joint Authors
Hsu, Paul Wei-Che
Wu, Lawrence Shih-Hsin
Lee, Shih-Wei
Huang, Kai-Yao
Weng, Julia Tzu-Ya
Lee, Tzong-Yi
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-03
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Tuberculosis (TB) is the second most common cause of death from infectious diseases.
About 90% of those infected are asymptomatic—the so-called latent TB infections (LTBI), with a 10% lifetime chance of progressing to active TB.
To further understand the molecular pathogenesis of TB, several molecular studies have attempted to compare the expression profiles between healthy controls and active TB or LTBI patients.
However, the results vary due to diverse genetic backgrounds and study designs and the inherent complexity of the disease process.
Thus, developing a sensitive and efficient method for the detection of LTBI is both crucial and challenging.
For the present study, we performed a systematic analysis of the gene and microRNA profiles of healthy individuals versus those affected with TB or LTBI.
Combined with a series of in silico analysis utilizing publicly available microRNA knowledge bases and published literature data, we have uncovered several microRNA-gene interactions that specifically target both the blood and lungs.
Some of these molecular interactions are novel and may serve as potential biomarkers of TB and LTBI, facilitating the development for a more sensitive, efficient, and cost-effective diagnostic assay for TB and LTBI for the Taiwanese population.
American Psychological Association (APA)
Wu, Lawrence Shih-Hsin& Lee, Shih-Wei& Huang, Kai-Yao& Lee, Tzong-Yi& Hsu, Paul Wei-Che& Weng, Julia Tzu-Ya. 2014. Systematic Expression Profiling Analysis Identifies Specific MicroRNA-Gene Interactions that May Differentiate between Active and Latent Tuberculosis Infection. BioMed Research International،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1034598
Modern Language Association (MLA)
Wu, Lawrence Shih-Hsin…[et al.]. Systematic Expression Profiling Analysis Identifies Specific MicroRNA-Gene Interactions that May Differentiate between Active and Latent Tuberculosis Infection. BioMed Research International No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1034598
American Medical Association (AMA)
Wu, Lawrence Shih-Hsin& Lee, Shih-Wei& Huang, Kai-Yao& Lee, Tzong-Yi& Hsu, Paul Wei-Che& Weng, Julia Tzu-Ya. Systematic Expression Profiling Analysis Identifies Specific MicroRNA-Gene Interactions that May Differentiate between Active and Latent Tuberculosis Infection. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1034598
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034598