An emerging major challenge is the interpretation of the genome-scale miRNA datasets, including those derived from microarray and deep-sequencing. It is interesting and important to know the common rules or patterns behind a list of miRNAs, (i.e. the deregulated miRNAs resulted from an experiment of miRNA microarray or deep-sequencing). TAM is a tool for annotations that can efficiently identify meaningful categories for given miRNAs. In addition, TAM can be used to identify novel miRNA biomarkers.
TAM tool, source codes, and miRNA category data are freely available at http://cmbi.bjmu.edu.cn/tam
Lu M, Shi B, Wang J, Cao Q, Cui Q. (2010) TAM: A method for enrichment and depletion analysis of a microRNA category in a list of microRNAs. BMC Bioinformatics 11, 419. [abstract]
Incoming search terms for this article:
MicroRNAs (miRNAs) have proven to be an extremely important part of the gene expression regulation mechanism. Expression profiling and functional studies indicate that miRNAs participate in the regulation of almost every cellular process investigated and that changes in their expression have a profound effect on their gene targeting activities. While the role of miRNAs in cell development and tumorigenesis was recognized early on, the importance of these small RNAs on immune system development and function has only been touched on recently. Initial studies have indicated that miRNAs have a role in the regulation of immune response and inflammation. Although inflammation protects against pathogenic stimuli and promotes healing, it may actually cause more damage than the activating event if not strictly controlled by essential, internal negative regulators. Out of control immune response causes various forms of chronic inflammatory diseases. [click to continue…]
Incoming search terms for this article:
Loading ...
