Elucidation of the Cardiac Myogenesis Regulatory Network
type: CreativeWork
description: Heart development has been extensively studied in numerous organisms throughout the twentieth century. The timing of key inductive signals and the expression of many critical transcription factors have been mapped across a variety of model systems. A collective image of the various stages of cardiac development is beginning to emerge. Although most of the seminal events are conserved across evolution, it is increasingly clear that subtle differences can have substantive effects on models of heart development processes. Furthermore, the overwhelming majority of work contributing to these models has been performed on a gene-by-gene basis. As a result, we have a loosely stitched cross-evolutionary view of cardiogenesis that leaves much to be desired by way of completeness. Thus, in order to move toward a comprehensive model of heart development, we have a critical need for global network views of heart development processes conducted within one species.Cardiac myogenesis, the development of heart muscle cells, is the earliest heart development process and is required for the formation of all adult heart structures. Key signaling pathways, and their precise timing and targets, have only recently begun to be defined. The downstream targets of these pathways and their timing of activation or repression remain largely unknown. To address this, I compiled data from three genomic microarray studies, each addressing a distinct aspect of cardiac myogenesis signaling and expression, to construct a global preliminary network of the primary inductive signals and their downstream targets in the chick model embryology system.The preliminary cardiac myogenesis network obtained from these studies generates far too many hypotheses to test experimentally. The challenge that lies ahead for elucidating the fine structure of this, or any network model, is in determining the next most enlightening experiments. Headway in sorting out more profitable experiments can be made by selecting from…
abstract: Heart development has been extensively studied in numerous organisms throughout the twentieth century. The timing of key inductive signals and the expression of many critical transcription factors have been mapped across a variety of model systems. A collective image of the various stages of cardiac development is beginning to emerge. Although most of the seminal events are conserved across evolution, it is increasingly clear that subtle differences can have substantive effects on models of heart development processes. Furthermore, the overwhelming majority of work contributing to these models has been performed on a gene-by-gene basis. As a result, we have a loosely stitched cross-evolutionary view of cardiogenesis that leaves much to be desired by way of completeness. Thus, in order to move toward a comprehensive model of heart development, we have a critical need for global network views of heart development processes conducted within one species.Cardiac myogenesis, the development of heart muscle cells, is the earliest heart development process and is required for the formation of all adult heart structures. Key signaling pathways, and their precise timing and targets, have only recently begun to be defined. The downstream targets of these pathways and their timing of activation or repression remain largely unknown. To address this, I compiled data from three genomic microarray studies, each addressing a distinct aspect of cardiac myogenesis signaling and expression, to construct a global preliminary network of the primary inductive signals and their downstream targets in the chick model embryology system.The preliminary cardiac myogenesis network obtained from these studies generates far too many hypotheses to test experimentally. The challenge that lies ahead for elucidating the fine structure of this, or any network model, is in determining the next most enlightening experiments. Headway in sorting out more profitable experiments can be made by selecting from…
author: Konieczka, Jay Harris
language: en
keywords: Cardiac, Computational, Development, Systems
date published: 2008
date modified: 2026-07-24T00:55:23Z
provider: University of Arizona
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: The University of Arizona.

PropertyValue
property ID: Handle
value: http://hdl.handle.net/10150/193712