Literature DB >> 24803680

Transcriptional atlas of cardiogenesis maps congenital heart disease interactome.

Xing Li1, Almudena Martinez-Fernandez2, Katherine A Hartjes3, Jean-Pierre A Kocher1, Timothy M Olson4, Andre Terzic5, Timothy J Nelson6.   

Abstract

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 disease discovery efforts toward mechanistic-based treatment strategies. Herein, we designed a time-course transcriptome analysis to investigate the genome-wide dynamic expression landscape of innate murine cardiogenesis ranging from embryonic stem cells to adult cardiac structures. This comprehensive analysis generated temporal and spatial expression profiles, revealed stage-specific gene functions, and mapped the dynamic transcriptome of cardiogenesis to curated pathways. Reconciling known genetic underpinnings of CHD, we deconstructed a disease-centric dynamic interactome encoded within this cardiogenic atlas to identify stage-specific developmental disturbances clustered on regulation of epithelial-to-mesenchymal transition (EMT), BMP signaling, NF-AT signaling, TGFb-dependent EMT, and Notch signaling. Collectively, this cardiogenic transcriptional landscape defines the time-dependent expression of cardiac ontogeny and prioritizes regulatory networks at the interface between health and disease.
Copyright © 2014 the American Physiological Society.

Entities:  

Keywords:  cardiogenesis; congenital heart disease; heart development; time course microarray; transcriptome

Mesh:

Year:  2014        PMID: 24803680      PMCID: PMC4080280          DOI: 10.1152/physiolgenomics.00015.2014

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


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