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Lanzetta, O.

Publications and source records attributed to Lanzetta, O..

2 recordsLinked to original sources

Cardiac Outflow tract septation defects in a DiGeorge syndrome model respond to Minoxidil treatment.

BackgroundThe T-BOX transcription factor TBX1 is essential for the development of the pharyngeal apparatus and it is haploinsufficient in DiGeorge syndrome (DGS), a developmental anomaly associated with congenital heart disease and other abnormalities. The murine model recapitulates the heart phenotype and showed collagen accumulation. MethodsWe first used a cellular model to study gene expression during cardiogenic differentiation of WT and Tbx1-/- mouse embryonic stem cells. Then we used a mouse model of DGS to test whether interfering with collagen accumulation using an inhibitor of lysyl hydroxylase would modify the cardiac phenotype of the mutant. Results and conclusionsIn the cell differentiation model, loss of Tbx1 was associated with up regulation of a subset of ECM-related genes, including several collagen genes. In the in vivo model, early prenatal treatment with Minoxidil, a lysyl hydroxylase inhibitor, ameliorated the cardiac outflow tract septation phenotype in Tbx1 mutant fetuses, but it had no effect on septation in WT fetuses. We conclude that TBX1 suppresses a subset of ECM-related genes. The partial rescue of the septation phenotype through Minoxidil treatment suggests that inhibiting collagen cross-linking reduces the impact of the phenotypic consequences of Tbx1 mutation.

developmental biology↗

ENDOTHELIAL GENE REGULATORY ELEMENTS ASSOCIATED WITH CARDIOPHARYNGEAL LINEAGE DIFFERENTIATION

Endothelial cells (EC) differentiate from multiple sources, including the cardiopharyngeal mesoderm, which gives rise also to cardiac and branchiomeric muscles. Here, we used a cardiogenic mesoderm cell differentiation model that also activates an endothelial transcription program to identify endothelial regulatory elements activated in early cardiogenic mesoderm. Integrating our chromatin remodeling and gene expression data with available single-cell RNA-seq data from mouse embryos, we identified 101 putative regulatory elements of EC genes. We then applied a machine-learning strategy, trained on validated enhancers, to predict the probability of the sequences to function as enhancers. The computational assay determined that 50% of these sequences were likely enhancers, some of which have been previously reported. We also identified a smaller set of regulatory elements of well-known EC genes and validated them using genetic and epigenetic perturbation. Finally, we used the integration of multiple data sources and computational tools to search for transcriptional factor binding motifs. In conclusion, we identified novel EC regulatory sequences with a high likelihood to be enhancers, and we validated a subset of them using computational and cell culture models. Motif analyses revealed that the core EC transcription factors GATA/ETS/FOS is a likely driver of EC differentiation in cardiopharyngeal mesoderm.

molecular biology↗