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 first analyzed the microarray data with bioinformatic measurement, including combining with panel module 1 (mouse embryonic stem cells), panel module 2 (mouse induced pluripotent stem cells), 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, ) 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.