Using Multiple-Steps Bioinformatic Analysis to Predict the Potential MicroRNA Targets by Cardiogenic HoxA11

BACKGROUND In this study, our major aim is to Using multiple-steps bioinformatic analysis to predict cardiogenic genes with targeting mRNA profiling for predicting cardiogenic HoxA11 gene. METHODS We firstly analyzed the microarray data with bioinformatic measurement, including combining with Panel module 1 (mouse embryonic stem cells; mESC), Panel module 2(mouse induced pluripotent stem cells; miPSC), and Panel module 3 (Gene list form literature of heart development). A literature-based comparison of the two microarrays and a software-based (Targetscan program, www.targetscan.org) comparative analysis of the two datasets. Furthermore, we select the common central pathways and potential candidate genes involved in the cardiomyocyte-lineaged differentiation and development. RESULTS Schematic presentation of a putative miR181a target site in Hox-A11 3'UTR. The bioinformatic result showed that potential interacted cardiogenic targets of Tbx5, Tbx20, Mal2c, Nkx2.5, cTNT, Cx43, MHC, and MCK in different treatment groups of pluripotent stem cells by using a literature-based comparison of the two microarrays and a software-based gene-lineage system. CONCLUSION Our findings support that mir181a is an up-stream regulating MicroRNA to target the 3'UTR of HoxA11 mRNA during the process of cardiomyocyte differentiation.