Location: Bioenergy ResearchTitle: Unification of gene expression data applying standard mRNA quantification references for comparable analyses Author
Submitted to: Journal of Microbial and Biochemical Technology
Publication Type: Review Article
Publication Acceptance Date: 9/9/2010
Publication Date: 9/16/2010
Citation: Liu, Z. 2010. Unification of gene expression data applying standard mRNA quantification references for comparable analyses. Journal of Microbial and Biochemical Technology. 2(5):124-126.
Technical Abstract: High throughput quantitative measurements of gene expression data have problems of reproducibility and comparability due to a lack of standard mRNA quantification references. Efforts have been made to safeguard data fidelity, yet generating quality expression data of inherent value remains a challenge. This not only affects unbiased data assessment and clinical applications but also damages establishing invaluable database resources for the larger scientific community. Unification of multi-source gene expression data is necessary for comparable and comprehensive analyses to gain insight into complex gene interactions and regulatory networks of life events using more integrated approaches of bioinformatics, computational biology, and systems biology. Development and application of commonly accepted quantification references to generate comparable expression data are needed.