Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA183422 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:PCGC: Congenital Heart Disease Genetic Network Study
| PRJNA183421 | ENA
Project description:Developmental Mechanisms of Human Congenital Heart Disease
| PRJNA380446 | ENA
Project description:NHLBI TOPMed: Pediatric Cardiac Genomics Consortium (PCGC)'s Congenital Heart Disease Biobank
| PRJNA498750 | ENA
Project description:NHLBI TOPMed: Pediatric Cardiac Genomics Consortium (PCGC)'s Congenital Heart Disease Biobank
| PRJNA498751 | ENA
Project description:Mutations in Nkx2-5 are a main cause of cardiac congenital heart disease. Here we describe a new Nkx2-5 point-mutation murine model, akin to its human counterpart disease generating mutation. Our model fully reproduces the morphological and physiological clinical presentations of the disease and reveals an under-studied aspect of Nkx2-5 driven pathology, a primary right ventricular dysfunction. We further describe the molecular consequences of disrupting the transcriptional network regulated by Nkx2-5 in the heart and show that Nkx2-5 dependent perturbation of the Wnt signaling pathway promotes heart dysfunction through alteration of cardiomyocyte metabolism. Our data provide mechanistic insights on how Nkx2-5 regulates heart function and metabolism, a novel link in the study of congenital heart disease, and confirms that our models are the first murine genetic models to present all spectra of clinically relevant congenital heart disease phenotypes generated by Nkx2-5 mutations in patients.
2016-12-01 | GSE85902 | GEO
Project description:Kids First Pediatric Research Program in Congenital Heart Disease
| PRJNA324734 | ENA
Project description:Congenital Heart Disease (CHD) accounts for 1% of birth defects, and while large-scale genetic studies have uncovered genes associated with CHDs, identifying causal mutations remains a challenge. We hypothesized that genetic determinants for CHDs could be found in the protein interactomes of GATA4 and TBX5, two cardiac transcription factors (TFs) associated with CHDs. Defining their interactomes in human cardiac progenitors via affinity purification-mass spectrometry and integrating the results with genetic data from the Pediatric Cardiac Genomic Consortium (PCGC) revealed an enrichment of de novo variants among proteins that interact with GATA4 or TBX5. A consolidative score designed to prioritize TF interactome members based on distinctive variant, gene and proband features identified numerous likely CHD-causing genes, including the epigenetic reader GLYR1. GLYR1 and GATA4 widely co-occupied cardiac developmental genes resulting in co-activation and the GLYR1 variant associated with CHD disrupted interaction with GATA4. This integrative proteomic and genetic approach provides a framework for prioritizing and interrogating the contribution of genetic variants in CHD and can be extended to other genetic diseases.
2022-07-05 | PXD022091 | Pride
Project description:Pediatric Cardiac Genomics Consortium (PCGC) Study
| PRJNA339493 | ENA
Project description:Congenital Heart Disease (CHD) is present in 1% of live births, and while large-scale genetic studies have uncovered genes associated with CHDs, identifying causal mutations remains a challenge. We hypothesized that genetic determinants for CHDs could be found in the protein interactomes of GATA4 and TBX5, two cardiac transcription factors (TFs) that cause CHDs. Defining their interactomes in human cardiac progenitors via affinity purification-mass spectrometry and integrating the results with genetic data from the Pediatric Cardiac Genomic Consortium (PCGC) revealed an enrichment of de novo variants among proteins that interact with GATA4 or TBX5. A consolidative score designed to prioritize TF interactome members based on distinctive variant, gene, and proband features identified numerous likely CHD-causing genes, including the epigenetic reader GLYR1. GLYR1 and GATA4 widely co-occupied cardiac developmental genes, resulting in co-activation, and the GLYR1 variant associated with CHD disrupted interaction with GATA4. This integrative proteomic and genetic approach provides a framework for prioritizing and interrogating the contribution of genetic variants in CHD and can be extended to other genetic diseases.
2022-02-18 | GSE159411 | GEO