Key result
Meta-analysis of 11 microarray datasets identified Gata4, Mef2a, Tbx5, and Tead4 as main regulators of cardiac genes, and Trp53, E2f1, Myc, Sfpi1, Lmo2, and Meis1 for fibroblast-specific genes.
Meta-Analysis (n=11)
Computational meta-analysis of microarray data identifies key transcription factors regulating the direct reprogramming of fibroblasts into induced cardiomyocytes, suggesting new strategies to improve transdifferentiation efficiency.
Advances TF candidate selection for iCM reprogramming; leaves open in vivo validation and clinical translation.
Ectopic expression of a defined set of transcription factors (TFs) can directly convert fibroblasts into a cardiac myocyte cell fate. Beside inefficiency in generating induced cardiomyocytes (iCMs), the molecular mechanisms that regulate this process remained to be well defined. The main purpose of this study was to provide better insight on the transcriptome regulation and to introduce a new strategy for candidating TFs for the transdifferentiation process. Eight mouse and three human high quality microarray data sets were analyzed to find differentially expressed genes (DEGs), which we integrated with TF-binding sites and protein-protein interactions to construct gene regulatory and protein-protein interaction networks. Topological and biological analyses of constructed gene networks revealed the main regulators and most affected biological processes. The DEGs could be categorized into two distinct groups, first, up-regulated genes that are mainly involved in cardiac-specific processes and second, down-regulated genes that are mainly involved in fibroblast-specific functions. Gata4, Mef2a, Tbx5, Tead4 TFs were identified as main regulators of cardiac-specific gene expression program; and Trp53, E2f1, Myc, Sfpi1, Lmo2, and Meis1 were identified as TFs which mainly regulate the expression of fibroblast-specific genes. Furthermore, we compared gene expression profiles and identified TFs between mouse and human to find the similarities and differences. In summary, our strategy of meta-analyzing the data of high-throughput techniques by computational approaches, besides revealing the mechanisms involved in the regulation of the gene expression program, also suggests a new approach for increasing the efficiency of the direct reprogramming of fibroblasts into iCMs. J. Cell. Physiol. 232: 2053-2062, 2017.
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Rastegar‐Pouyani et al. (2016) conducted a meta-analysis in Fibroblast to cardiac myocyte transdifferentiation (n=11). Ectopic expression of transcription factors was evaluated on Differentially expressed genes and transcription factor regulators. Meta-analysis of 11 microarray datasets identified Gata4, Mef2a, Tbx5, and Tead4 as main regulators of cardiac genes, and Trp53, E2f1, Myc, Sfpi1, Lmo2, and Meis1 for fibroblast-specific genes.
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