Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcriptional Atlas of Cardiogenesis Maps Congenital Heart Disease Interactome

ABSTRACT: Mammalian heart development is built on highly conserved molecular mechanisms with polygenetic perturbations resulting in a spectrum of congenital heart diseases (CHD). However, the transcriptional landscape of cardiogenic ontogeny that regulates proper cardiogenesis remains largely based on candidate-gene approaches. Herein, we designed a time-course transcriptome analysis to investigate the genome-wide expression profile of innate murine cardiogenesis ranging from embryonic stem cells to adult cardiac structures. This comprehensive analysis generated temporal and spatial expression profiles, prioritized stage-specific gene functions, and mapped the dynamic transcriptome of cardiogenesis to curated pathways. Reconciling the bioinformatics of the congenital heart disease interactome, we deconstructed disease-centric regulatory networks encoded within this cardiogenic atlas to reveal stage-specific developmental disturbances clustered on epithelial-to-mesenchymal transition (EMT), BMP regulation, NF-AT signaling, TGFb-dependent induction, and Notch signaling. Therefore, this cardiogenic transcriptional landscape defines the time-dependent expression of cardiac ontogeny and prioritizes regulatory networks at the interface between health and disease. To interrogate the temporal and spatial expression profiles across the entire genome during mammalian heart development, we designed a time-course microarray experiment using the mouse model at defined stages of cardiogenesis, starting with embryonic stem cells (ESC, R1 stem cell line), early embryonic developmental stages: E7.5 whole embryos, E8.5 heart tubes, left and right ventricle tissues at E9.5, E12.5, E14.5, E18.5 to 3 days after birth (D3) and adult heart (Figure 1A). At each time point, microarray experiments were performed on triplicate biological samples. Starting at E9.5, tissue samples from left ventricles (LV) and right ventricles (RV) were microdissected for RNA purification and microarray analysis to determine spatially differential gene expression between LV and RV during heart development.

ORGANISM(S): Mus musculus

SUBMITTER: XING LI

PROVIDER: E-GEOD-51483 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Transcriptional atlas of cardiogenesis maps congenital heart disease interactome.

Li Xing X Martinez-Fernandez Almudena A Hartjes Katherine A KA Kocher Jean-Pierre A JP Olson Timothy M TM Terzic Andre A Nelson Timothy J TJ

Physiological genomics 20140506 13

Mammalian heart development is built on highly conserved molecular mechanisms with polygenetic perturbations resulting in a spectrum of congenital heart diseases (CHD). However, knowledge of cardiogenic ontogeny that regulates proper cardiogenesis remains largely based on candidate-gene approaches. Mapping the dynamic transcriptional landscape of cardiogenesis from a genomic perspective is essential to integrate the knowledge of heart development into translational applications that accelerate d ...[more]

PMID: 24803680

Similar Datasets

Project description:Background: Right ventricular (RV) and left ventricular (LV) myocardium differ in their response to pressure-overload hypertrophy (POH). In this report we use microarray and proteomic analyses to identify pathways modulated by LV-, and RV-POH in the immature heart. Methods: Newborn New Zealand White rabbits underwent banding of the descending thoracic aorta (LV-POH; n=6). RV-POH was achieved by banding the pulmonary artery (n=6). Sham–control animals (SC; n=6 each) were sham-manipulated. Following 4 (LV-POH) and 6 weeks (RV-POH) recovery, the hearts were removed and matched sample RNA and proteins were isolated for microarray and proteomic analysis. Results: There was no difference in body weight in RV-, LV-POH vs. SC but there was a significant increase vs. SC in RV (3.2±0.8g vs. 1.2±0.3g; P<0.01) and LV weight (7.08±0.6g vs. 4.02±0.2g; P<0.01). Fractional area change (RV-POH) and shortening fraction (LV-POH) decreased significantly (23±6 vs. 47±6 and 21±4 vs.44±2, respectively, P<0.01). Microarray analysis demonstrated that LV-POH enriched pathways for oxidative phosphorylation, mitochondria energy pathways, actin, ILK, hypoxia, calcium and protein kinase-A signalling. RV-POH enriched pathways for cardiac oxidative phosphorylation. Proteomic analysis revealed 19 proteins were uniquely expressed in LV-POH vs. SC. Functional annotation clustering analysis indicated significant enrichment for the mitochondrion, cellular macromolecular complex assembly and oxidative phosphorylation. RV-POH had 15 uniquely expressed proteins vs. SC. Functional annotation clustering analysis indicated significant enrichment in structural constituents of muscle, cardiac muscle tissue development and calcium handling. Conclusion: Our results identify unique transcript and protein expression profiles in LV, RV-POH and provide new insight into the biological basis of ventricular specific hypertrophy. 3 different conditions: PAB-RV vs. Sham-control RV, PAB-RV [test] vs. PAB-LV [control], AOB-LV vs. Sham-control LV.

Project description:At an incidence of approximately 1/1000 births, neural tube defects (NTDs) comprise one of the most common and devastating congenital disorders. In an attempt to enhance and expand our understanding of neural tube closure, we undertook a high-throughput gene expression analysis of the neural tube as it was forming in the mouse embryo. Open and closed sections of the developing neural tube were micro-dissected from mouse embryos, and hybridized to Affymetrix mouse expression arrays. Clustering of genes differentially regulated in open and closed sections of the developing neural tube highlighted molecular processes previously recognized to be involved in neural tube closure and neurogenesis. Analysis of the genes in these categories identified potential candidates underlying neural tube closure. In addition, we identified approximately 25 novel genes, of unknown function, that were significantly up-regulated in the closed neural tube. Based on their expression patterns in the developing neural tube, five novel genes are proposed as interesting candidates for involvement in neurogenesis. The high-throughput expression analysis of the neural tube as it forms allows for better characterization of pathways involved in neural tube closure and neurogenesis, and hopefully will strengthen the foundation for further research along the pathways dictating neural tube development. Embryos were dissected at days E8.5 and E9.5, and the neuroepithelium/ neural tube were mechanically detached from underlying tissues, and then separated into two regions: 1) M-bM-^@M-^\open neuroepitheliumM-bM-^@M-^]: neuroepithelial tissue caudal to the open/closed junction, and 2) M-bM-^@M-^\closed neural tubeM-bM-^@M-^], extending from a somiteM-bM-^@M-^Ys breadth rostral to the open/closed junction, up to the level of the fifth- or sixth-to-last somite. Samples consisted of biological triplicates of RNA extract from the above tissues (pooled by litter, and representing a total of 111 embryos): E8.5 open neuroepithelium, E8.5 closed neural tube, E9.5 open neuroepithelium, and E9.5 closed neural tube. Thus, a total of 12 samples (representing 111 embryos) were hybridized to the GeneChip Mouse Genome 430 2.0 Array (Affymetrix Inc., Santa Clara, CA, USA). One of the samples (06, closed E8.5) deviated significantly from the others in quality assessment and was therefore removed from subsequent analysis and not submitted to GEO.

Project description:Rationale: Cardiac development is a complex process that results in the first integrated, multi-lineage embryonic tissue. Imperfect developmental progression leads to congenital heart disease, the most common birth defect with developmental corruption affecting more than 1% of all live births. Interrogation of individual genes has provided the backbone for cardiac developmental biology, yet a comprehensive transcriptome derived from natural cardiogenesis is required to establish an unbiased roadmap to gauge innate developmental milestones necessary for stem cell-based differentiation and in vitro disease modeling. Objective: Establish a contextual expression database of spatial-temporal cardiac structures, and validate a predictive tool to diagnose and predict cardiogenic outcomes from individual pluripotent stem cell lines. Methods and Results: Stage-specific cardiac structures were dissected from eight distinctive embryonic time points to produce a genome-wide expressome analysis across the spectrum of early to late cardiogenesis. Hierarchical clustering of the time course dataset demonstrated discrete gene expression profiles during natural embryonic development. In reference to the native cardiogenic expression roadmap, disruptive iPSC-derived cardiac expression profiles were revealed from pro-cardiogenic 3-factor (SOX2, OCT4, KLF4) compared to non-cardiogenic 4-factor (addition of c-MYC) reprogramming regimens upon stage-specific differentiation. Expression of cardiac-related genes from 3F-iPSC differentiated in vitro at day 0, 5, and 11 recapitulated expression of natural embryos at days 0, E7.5-E8.5, and E14.5-E18.5, respectively. In contrast, 4F-iPSC demonstrated variable gastrulation gene expression profiles beginning at day 5 of differentiation. Differential gene expression within the pluripotent ground state between the archetypical high cardiogenic potential of embryonic stem cells recapitulated in 3F-iPSC vs. the low cardiogenic potential of 4F-iPSC revealed 23 distinguishing candidate genes. Upon subsequent differentiation, cell line-specific gene expression differences were magnified to 399 genes at day 5 and 726 genes at day 11. A confirmed panel of 20 genes, differentially expressed between high and low cardiogenic cell lines, was transformed into a predictive score that was sufficient to correctly rank independent iPSC lines according to cardiogenic potential. Conclusions: Transcriptome analysis attuned to the embryonic developing heart provides a robust platform to probe coordinated cardiac specification and maturation from stem cell-based cardiogenesis model systems. Based on this genome-wide expressome roadmap, a panel of pre-cardiac genes was extracted that allowed differential prognosis of cardiogenic competency from individual reprogrammed cell lines at the pluripotent state. The overall experimental design includes 3 time points (Day0, Day5, Day11) and 3 different stem cell lines: R1 embryonic stem cells (ESCs), H9 induced pluripotent stem cells (H9-iPSCs) generated/reprogrammed by 3 transcription factors (called 3F-iPSCs), and 19BL induced pluripotent stem cells (19BL-iPSCs) generated/reprogrammed by 4 transcription factors (called 4F-iPSC). At each time point, each cell line has 3 biological replicates. In total, there are 27 samples. R1-embryonic stem cells (R1-ESCs): Day0 undifferentiated ESCs - 3 biological replicates, Differentiated for 5 days (Day5) - 3 biological replicates, Differentiated for 11 days (Day11) - 3 biological replicates. 3F-iPSC (H9 iPSCs): Day 0 undifferentiated - 3 biological replicates, Differentiated for 5 days (Day5) - 3 biological replicates, Differentiated for 11 days (Day11) - 3 biological replicates. 4F-iPSC (19BL-iPSCs): Day0 undifferentiated - 3 biological replicates, Differentiated for 5 days (Day5) - 3 biological replicates, Differentiated for 11 days (Day11) - 3 biological replicates.

Dataset Information

Transcriptional Atlas of Cardiogenesis Maps Congenital Heart Disease Interactome

Publications

Transcriptional atlas of cardiogenesis maps congenital heart disease interactome.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure